[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"blog-ai-visibility-2026-what-gets-brands-cited":3,"latest-blogs-home":121},{"message":4,"data":5},"Blogs retrieved successfully",{"blog":6,"latest_blogs":36},{"id":7,"author_id":8,"title":9,"slug":10,"content":11,"short_summary":12,"featured_image":13,"status":14,"meta_title":15,"meta_description":16,"canonical_url":17,"keywords":17,"blog_type":18,"is_featured":19,"word_count":20,"published_at":21,"created_at":22,"updated_at":23,"deleted_at":17,"author":24,"categories":29},316,9,"AI Visibility in 2026: What Actually Gets Brands Cited by LLMs","ai-visibility-2026-what-gets-brands-cited","\u003Ch1>\u003Cspan style=\"font-size: 16pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">\u003Cstrong>AI Visibility in 2026: What Actually Gets Brands Cited by LLMs\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh1>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">A year ago, AI visibility was a concept most marketers were still treating as theoretical. By March 2026, it’s become measurable, trackable, and consequential enough that brands are losing and gaining market share based on whether AI systems recommend them.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The change happened faster than most of the industry expected. SE Ranking’s data shows AI platforms now account for 0.24% of global internet traffic, up 1.6x from 2025. This percentage still sounds small until you consider what those visits represent: high-intent users getting direct recommendations from AI systems that have already decided which brands to surface. There’s no scrolling through results. No clicking across tabs to compare. The AI picks, and the user follows.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The question every brand operating in search should be asking is straightforward: what determines whether an AI system cites you or your competitor?\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 14pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">\u003Cstrong>The Sources AI Systems Actually Pull From\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">Peec AI published an analysis of 30 million sources across five major AI platforms (ChatGPT, Google AI Mode, Gemini, Perplexity, and AI Overviews) to identify which domains get cited most frequently. The top 10 most-cited domains across all platforms: Reddit, YouTube, LinkedIn, Wikipedia, Forbes, Facebook, Yelp, Amazon, TechRadar, and Healthline.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The list is revealing for what it says about how AI systems evaluate trustworthiness. The top sources aren’t all traditional media outlets or high-authority publications. They’re a mix of user-generated discussion platforms (Reddit), video content (YouTube), professional networks (LinkedIn), reference sites (Wikipedia), editorial publications (Forbes, TechRadar, Healthline), and commercial platforms with review ecosystems (Amazon, Yelp).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">What connects them is that each platform provides a type of information that AI models find useful for building confident answers: real user experiences on Reddit, visual demonstrations on YouTube, professional credibility signals on LinkedIn, factual grounding on Wikipedia, editorial validation from established publications, and crowd-sourced ratings on review platforms.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The more interesting finding from the Peec AI analysis is how the source preferences diverge across platforms. Reddit and YouTube appear across all five AI systems, which explains their top-line dominance. But beyond those two, each platform has its own preferences. ChatGPT leans toward Wikipedia and editorial sources like Forbes and TechRadar. Google’s AI Mode and AI Overviews favor social content and local review platforms like Facebook and Yelp. Perplexity emphasizes Reddit, LinkedIn, and B2B review platforms like G2.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The divergence matters because it means AI visibility isn’t one thing. A brand that’s well-cited in ChatGPT might be invisible in Google’s AI Mode, and vice versa. The Writesonic study covered in a previous NO-BS blog post showed only 7% citation overlap between ChatGPT’s default and premium models. The Peec AI data suggests the divergence extends across platforms, not just within them.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 14pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">\u003Cstrong>What’s Changed About How AI Visibility Works\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">A year ago, the working assumption in SEO was that traditional ranking signals would translate fairly directly into AI citations. If a page ranked well on Google, AI systems would probably cite it too. That assumption has turned out to be partially true and partially misleading.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">Ahrefs’ data from late 2025 showed that AI Overviews have the strongest correlation with traditional search rankings among all AI platforms. For Google’s own AI features, the connection between organic ranking and AI citation is real. But for ChatGPT, Perplexity, and other non-Google AI systems, the relationship is weaker. The Writesonic study found that 75% of domains cited by ChatGPT’s premium model don’t appear on Google or Bing at all. ChatGPT identifies brands from training data and queries their sites directly rather than pulling from search rankings.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">SE Ranking’s research from November 2025 added another dimension: domain authority and third-party presence matter significantly. Sites with over 32,000 referring domains are 3.5x more likely to be cited by ChatGPT than those with fewer than 200. Domains with active profiles on review platforms like Trustpilot, G2, Capterra, and Yelp have 3x higher chances of being cited. And domains with millions of brand mentions on Reddit and Quora have roughly 4x higher citation rates than those with minimal activity on those platforms.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The pattern is consistent: AI systems don’t just look at the brand’s own website. They look at how the brand shows up across the web. The ecosystem of third-party mentions, reviews, discussions, and editorial coverage surrounding a brand is as important as the brand’s own content.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 14pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">\u003Cstrong>The Two-Layer Visibility Problem\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The landscape in 2026 gets interesting when you look at where brands are actually investing. AI visibility operates on two layers simultaneously, and most brands are only working on one of them.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The first layer is on-site: the brand’s own website content. Content structure, clarity, depth, freshness, and technical accessibility all influence whether an AI system can retrieve and use the content effectively. Research from Growth Memo found that 44.2% of all LLM citations come from the first 30% of a page’s text, which means content structure and front-loading key information directly affects citation probability. AirOps found that ChatGPT only cites 15% of the pages it retrieves, meaning 85% of content that gets pulled into the model’s processing never makes it into the final answer.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The second layer is off-site: how the brand appears across the third-party sources that AI systems trust. Reddit threads, YouTube videos, LinkedIn posts, Wikipedia references, review platform profiles, editorial coverage in industry publications, and brand mentions in forums and communities. This is the layer the Peec AI data highlights. The most-cited domains in AI search are overwhelmingly third-party platforms, not brand-owned websites. The brands getting cited are the ones showing up consistently across these external sources.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">Most brands have invested heavily in the first layer (their own content) while underinvesting in the second layer (their presence across the third-party sources AI actually prefers). The Peec AI data suggests that rebalancing that investment is one of the highest-leverage moves available.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 14pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">\u003Cstrong>Where Link Building and Digital PR Fit\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The connection between traditional \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Flink-building\">\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">link building\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\"> and AI visibility is becoming clearer with every new study. The SE Ranking finding that sites with 32,000+ referring domains are 3.5x more likely to be cited by ChatGPT points directly at backlink profiles as an AI visibility signal. The Peec AI data showing editorial publications like Forbes and TechRadar among the top cited domains reinforces the value of \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fdigital-pr\">\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">digital PR\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\"> placements on authoritative sites.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">But the data also suggests that the type of link building matters more than it used to. Getting a backlink on a high-DA site that AI systems don’t cite doesn’t help AI visibility. Getting a mention or placement on a site that AI systems actively pull from (Reddit, LinkedIn, YouTube, G2, industry-specific publications) does. \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fguest-posting\">\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">Guest posting\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\"> on the publications that show up in AI citation data, earning editorial coverage through digital PR campaigns that land on sites AI trusts, and building a presence on the review platforms and discussion forums that LLMs retrieve from are all direct inputs to AI citation probability.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The Stacker research from December 2025 quantified part of this: distributing content to a wide range of publications can increase AI citations by up to 325% compared to publishing only on your own site. Earned media coverage across trusted third-party sources feeds the second visibility layer that most brands are underinvesting in.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 14pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">\u003Cstrong>The Multi-Platform Reality\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The SE Ranking AI traffic data from a recent NO-BS blog post showed Gemini’s referral traffic growing at 47% per month while ChatGPT’s declined at 8% per month. The Peec AI data shows different platforms citing different sources. The Writesonic study showed different models within the same platform citing almost entirely different sources.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The combined picture in March 2026 is that AI visibility has become a multi-platform, multi-model challenge where no single optimization approach covers everything. The brands building AI visibility that holds up across platforms are the ones investing in the foundation that all AI systems draw from: authoritative backlinks, consistent brand presence across trusted third-party platforms, strong review profiles, and content that’s structured for AI retrieval.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">The platform-specific rankings will keep shifting. What gets a brand cited in Perplexity today may differ from what gets it cited in Gemini next quarter. The authority foundation underneath is what stays constant.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 12pt; color: rgb(0, 0, 0); font-family: Calibri, sans-serif;\">Peec AI study: analysis of 30 million sources across ChatGPT, Google AI Mode, Gemini, Perplexity, and AI Overviews, March 2026.\u003C\u002Fspan>\u003C\u002Fp>","How LLM tools cite brands? Answer is a bit complex, but digital PR and high authority seem to lead the way","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Ffeatured-images\u002Fimage-apr-2-2026-09-48-17-am-20260402074850-MmACyW63.png","published","AI Visibility in 2026: How Brands Cited by LLM Tools","Are you curious about how to get cited by AI tools in 2026? Answer is data-based blog post. Take a look!",null,"blog",true,1345,"2026-04-02T07:37:11.000000Z","2026-04-02T07:51:23.000000Z","2026-04-03T07:27:39.000000Z",{"id":8,"name":25,"email":26,"about":17,"avatar":27,"created_at":28,"updated_at":17,"deleted_at":17},"Rasit Cakir","rasit@nobsmarketplace.com","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Frasit.webp","2026-01-26T11:10:22.000000Z",[30],{"id":31,"name":32,"slug":33,"created_at":34,"updated_at":34,"deleted_at":17,"pivot":35},23,"AI","ai","2026-03-10T11:18:29.000000Z",{"blog_id":7,"category_id":31},[37,51,73,86],{"id":38,"author_id":8,"title":39,"slug":40,"content":41,"short_summary":42,"featured_image":43,"status":14,"meta_title":39,"meta_description":44,"canonical_url":17,"keywords":17,"blog_type":18,"is_featured":45,"word_count":46,"published_at":47,"created_at":48,"updated_at":48,"deleted_at":17,"author":49,"categories":50},331,"ChatGPT Only Cites Half the Pages It Retrieves","chatgpt-only-cites-half-the-pages-it-retrieves","\u003Ch1>\u003Cspan style=\"color: rgb(0, 0, 0);\">ChatGPT Only Cites Half the Pages It Retrieves\u003C\u002Fspan>\u003C\u002Fh1>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">A study of 1.4 million ChatGPT prompts, using February data from the ChatGPT 5.2 desktop client, found that the model retrieves far more pages than it actually cites. Out of 46.8 million total URLs retrieved across those prompts, roughly half (49.98%) ended up as numbered citations in the response. The other half got read, evaluated, and dropped.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Getting retrieved is not the same as getting cited. A page can show up in ChatGPT’s search results, help shape the model’s understanding of a topic, and still appear nowhere in the final answer. No citation, no link, no attribution. The data from this study points at two specific elements that decide which half survives: the page title and the URL.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Before ChatGPT reads a page, it reads the title\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">When ChatGPT responds to a prompt that needs web information, it does not just search and cite whatever comes back. There is a step in between. Each retrieved result arrives with a small set of metadata: the page title, a short snippet, the URL, and an internal ID. ChatGPT looks at this metadata first and decides which pages are worth opening and reading in full.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The filtering happens before the model reads any actual page content. A page with a clear, relevant title and a clean URL has a better chance of making the cut. A page with a vague title, a messy URL, or metadata that does not line up with the question being asked gets filtered out at this stage, no matter how good the content behind the link might be.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Most AI visibility strategies focus on content quality, page authority, and ranking position, and those factors do determine whether a page enters the retrieval pool. But the conversion from retrieved to cited depends on metadata that many content teams barely think about.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">ChatGPT breaks every prompt into narrower questions\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">One of the more useful findings from the study is about how ChatGPT actually searches for information. When a user submits a prompt, ChatGPT does not just run that prompt as a search query. It generates a set of narrower sub-questions internally (sometimes called fanout queries) and searches for pages relevant to each one separately.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Someone asking “what is the best CRM for small businesses” might trigger internal sub-questions like “CRM pricing comparison for small teams,” “CRM features for sales pipeline management,” and “CRM integrations with accounting software.” ChatGPT retrieves pages for each of those sub-questions and assembles the final answer from the combined results.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The consequence for content strategy is immediate. A page titled “Best CRM Software” may match the original prompt reasonably well, but a page titled “CRM Pricing Comparison for Small Teams” matches one of the fanout queries precisely. The study measured this using cosine similarity, a standard way of computing how closely two pieces of text relate to each other, and found a clear gap between cited and non-cited pages.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cited pages scored 0.602 on title-to-prompt similarity. Non-cited pages scored 0.484. When measured against the fanout queries instead of the original prompt, cited pages scored 0.656, which confirms that matching the sub-questions matters more than matching the broad prompt.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">That gap is not small. A 0.17-point difference in similarity scoring represents a meaningfully different level of relevance. Pages whose titles closely match the specific sub-questions ChatGPT generates get cited. Pages whose titles only vaguely relate to the general topic get retrieved and then ignored.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Readable URLs get cited more often\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The study also found that URL readability correlates with citation rates. Pages with descriptive, human-readable URL slugs (paths like \u002Fcrm-pricing-comparison-small-business) were cited 89.78% of the time when they appeared in search results. Pages with opaque or parameter-heavy URLs were cited at 81.11%.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nine percentage points is a big enough gap to matter across a site with hundreds of pages. Every page with an ugly, parameter-filled URL is slightly less likely to earn a citation when it enters the retrieval pool.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The reason likely connects to the same metadata filtering step. When ChatGPT evaluates a retrieved result before deciding whether to open it, the URL is one of the fields it can see. A descriptive URL gives the model a second signal, alongside the title, that the page is relevant. An opaque URL gives it nothing to work with.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">For content teams that have treated URL structure as a technical SEO box to check rather than a visibility factor, this data makes a case for raising the priority. A clean, descriptive URL slug now does double duty: it supports traditional search ranking and it supports AI citation probability.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">88% of cited URLs come from the search channel\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The study identified five retrieval channels inside ChatGPT, each labeled internally as a ref_type: search, news, reddit, youtube, and academia. The citation rates across them are wildly uneven.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The general search channel dominates. It accounts for 88.46% of all cited URLs with an 88.46% citation rate among retrieved pages. The news channel has a 12.01% citation rate. Reddit, despite contributing over 16 million data points to the retrieval pool, gets cited at just 1.93%. YouTube and academia fall below 1%.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In plain terms: if a page does not rank in organic search, its path to a ChatGPT citation runs through channels where fewer than 2% of retrieved pages actually get cited. Ranking in Google remains the primary entry point, which means every factor that supports organic ranking, including \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Flink-building\">\u003Cspan style=\"color: rgb(0, 0, 0);\">link building\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> and \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fdigital-pr\">\u003Cspan style=\"color: rgb(0, 0, 0);\">digital PR\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\">, also supports citation eligibility.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The search channel dominance also explains why broad comparisons of “cited vs non-cited” pages can paint a misleading picture. Because Reddit makes up 67.8% of all non-cited URLs, any comparison that mixes all channels together is really comparing search-index pages against Reddit content rather than comparing like with like. The study separated its analysis by ref_type to avoid this distortion, and the clearer patterns only became visible after that separation.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Writing titles for a model instead of a person\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Traditional title optimization targets click-through rate. The goal is to attract a human scanning a list of ten blue links, so titles are written to create curiosity, include the primary keyword, and stand apart from competitors.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Title optimization for AI citation works differently. The reader is a language model deciding whether a page’s metadata lines up with a specific sub-question it generated on its own. ChatGPT does not care about curiosity gaps, emotional triggers, or branded modifiers. It cares about whether the title text and the sub-question text are about the same specific thing.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">A title like “7 CRM Tools You Need to Try in 2026” performs well for human CTR because it creates curiosity and includes a current year modifier. A title like “CRM Pricing Comparison for Small Business Sales Teams” performs better for AI citation because it matches the kind of sub-question ChatGPT would generate when a user asks about CRM recommendations.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The two goals do not always conflict, but they reward different instincts. CTR optimization rewards distinctiveness and emotional pull. Citation optimization rewards precision and specificity. The titles that work for both tend to be descriptive and specific enough for a model to match, while still reading naturally to a human. Specificity wins over cleverness.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">The keyword layer that no keyword tool reports\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Fanout queries introduce a type of keyword targeting that traditional keyword research cannot surface. Keyword tools report search volume for queries that humans type into search engines. Fanout queries are generated by the model internally and never show up in any search volume database. A page can be perfectly optimized for every high-volume keyword in its category and still miss the sub-questions ChatGPT generates from conversational prompts.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The study did not publish a list of fanout queries, but the direction is clear from the data. These sub-questions tend to be more specific, more question-shaped, and narrower than the original prompt. A prompt about “best project management tools” generates sub-questions about specific use cases, pricing tiers, integration capabilities, and team size fit. Each sub-question is a citation opening for a page whose title matches it.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Content strategies built around broad category pages and general-purpose guides may get retrieved often but cited rarely if their titles do not align with those narrower angles. Pages built around specific comparisons, specific use cases, and specific feature evaluations are a more natural fit for what fanout queries are actually asking.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fguest-posting\">\u003Cspan style=\"color: rgb(0, 0, 0);\">Guest posting\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> connects to this directly. A guest post on an authoritative domain with a tightly scoped title like “How Mid-Size Retailers Use CRM Integrations to Reduce Cart Abandonment” matches fanout queries that a broad category page on the brand’s own site would not. Each placed article on an authoritative, indexable domain adds a page to the retrieval pool that already targets a specific fanout angle, and the third-party domain’s authority supports its position in the search channel where 88% of citations come from.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Flink-insertion\">\u003Cspan style=\"color: rgb(0, 0, 0);\">Link insertions\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> into existing high-authority pages that already rank for relevant terms work on a similar principle. If an established page already shows up in ChatGPT’s retrieval results for related queries, a brand reference inserted into that page rides the existing page’s authority and its title-to-fanout alignment into the citation pipeline, without waiting for a new page to build up enough trust on its own.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Two gates, two different problems\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The 50\u002F50 split between retrieved and cited pages creates a useful way to diagnose where a brand is falling short. If pages are being retrieved by ChatGPT but not cited in the final output, the problem is probably at the metadata layer. The title may be too broad, the URL may be unreadable, or the page may not align with the specific sub-questions the model is generating.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">If pages are not being retrieved at all, the problem is further upstream. The page either does not rank well enough in organic search or does not carry enough authority to enter the retrieval pool in the first place. That problem responds to the same interventions it always has: building backlinks from authoritative sources, earning editorial coverage, and producing content that ranks.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Retrieval depends on search ranking and authority. Citation depends on whether the title and URL match the model’s internal questions. Both gates need to open for a page to earn a visible citation, and knowing which one is closed determines which fix to apply. Building links and authority gets pages into the retrieval pool. Revising titles, URL slugs, and topical focus gets them from retrieved to cited.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The 1.4 million prompts in this study covered a single month of ChatGPT desktop usage, and the model’s retrieval behavior will keep evolving. But the two-gate structure, where being found and being cited are separate hurdles with different criteria, is likely to persist. Language models will keep retrieving more pages than they cite, and the metadata layer will keep deciding which ones make the cut.\u003C\u002Fspan>\u003C\u002Fp>","A study of 1.4 million ChatGPT prompts found the model cites only about half the URLs it retrieves. Title relevance to ChatGPT's internal sub-questions and URL readability are the strongest predictors of which pages earn a citation.","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Ffeatured-images\u002Fchatgpt-cites-half-1-20260422122206-PbOJYIB3.png","A 1.4M prompt study found ChatGPT retrieves about twice as many pages as it cites. The title and URL decide which half survives.",false,1771,"2026-04-22T12:14:44.000000Z","2026-04-22T12:22:12.000000Z",{"id":8,"name":25,"email":26,"about":17,"avatar":27,"created_at":28,"updated_at":17,"deleted_at":17},[],{"id":52,"author_id":8,"title":53,"slug":54,"content":55,"short_summary":56,"featured_image":57,"status":14,"meta_title":58,"meta_description":59,"canonical_url":17,"keywords":17,"blog_type":18,"is_featured":45,"word_count":60,"published_at":61,"created_at":62,"updated_at":62,"deleted_at":17,"author":63,"categories":64},330,"35% of Brand Discovery Now Happens Before a Single Search Query Gets Typed","brand-discovery-now-happens-before-a-single-search-query-gets-typed","\u003Ch1>\u003Cspan style=\"color: rgb(0, 0, 0);\">AI Now Owns the Top of the Purchase Funnel\u003C\u002Fspan>\u003C\u002Fh1>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">A debate that has been running since 2023 just got settled by data. Similarweb, a digital intelligence and web analytics platform, published its Market Research Panel results from a January survey of US consumers, measuring how people use AI tools versus search engines at each stage of the purchase journey. The results do not show AI supplementing search. They show AI replacing the top of the funnel that search never served particularly well.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">At the product discovery stage, 35% of US consumers said they find AI tools most useful, compared to just 13.6% for search engines. At the research and comparison stage, AI leads 30% to 20%. At the narrowing and deciding stage, 31.4% to 15%. At the evaluation and confidence-building stage, 32.9% to 15%. The gap only closes at the final purchase step, finding where to buy and getting the best price, where AI leads 24.3% to 22.1%.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">AI holds a 2:1 or greater advantage at every stage from discovery through evaluation. Search only approaches parity at the moment someone is ready to open their wallet.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">The consumer journey no longer starts in a search bar\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">For more than two decades, SEO strategy has been built on the assumption that the consumer journey begins with a search query. Someone types a question or a product category into Google, the search engine returns a ranked list of pages, and the consumer clicks through to evaluate options. The entire infrastructure of keyword research, content strategy, and ranking optimization is calibrated to that starting point.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The Similarweb data shows that starting point has moved. More than a third of consumers now begin their discovery process inside an AI tool like ChatGPT, Gemini, or Perplexity, not inside a search engine. They describe what they need in natural language, receive a curated response with specific brand recommendations, and form an initial consideration set before any search query gets typed.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The search query still happens. But by the time it does, the shortlist is already set. A consumer who discovers three skincare brands through a ChatGPT conversation and then searches Google for reviews of those three brands will show up in analytics as a search-driven conversion. The AI conversation that shaped the shortlist receives no attribution. Last-click measurement gives search full credit for a decision that AI made possible.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">A brand invisible in AI responses is invisible at discovery\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The direct consequence of 35% discovery happening through AI is that a brand absent from AI responses is absent from more than a third of potential customers before any intent signal reaches search. No keyword strategy compensates for that absence, because the consumer has already built a shortlist without ever issuing a query the brand could rank for.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Similarweb’s data also shows that AI visibility does not follow the same patterns as search visibility. The report’s 2026 AI Brand Visibility Index, which measured brand mention share across ChatGPT, Gemini, Copilot, and Perplexity using January data, found that brand scale is no longer a reliable predictor of AI visibility. In Beauty, CeraVe, a dermatologist-recommended skincare brand, leads the AI visibility index despite Ulta, a major beauty retailer, having roughly ten times the branded search volume. In Finance, structured-content platforms like NerdWallet, a personal finance comparison site, and Bankrate, a financial product comparison publisher, appear in the top ten alongside institutional giants like Chase and Fidelity. In News, Reuters leads despite having just 1.5 million monthly branded searches, far below Fox News at 42.1 million, which ranks seventh.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The brands winning AI visibility are not always the ones with the most customers. They are the ones whose content answers questions completely, in a format AI can extract cleanly, backed by citations from third-party sources that models treat as consensus.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Referral traffic is flat because AI was never designed to route\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Alongside the funnel data, Similarweb reported a structural pattern in AI referral traffic that reframes how AI visibility should be measured. AI platform visits grew 28.6% between January last year and January of this year (US, desktop and mobile combined). AI referrals to external websites over the same period stayed flat.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Kevin Indig, a growth advisor and SEO strategist, is quoted in the report explaining the dynamic: AI traffic contributes less than 1% compared to organic traffic, and Pew Research found less than 1% of users click links in AI Overviews. The platforms are retaining attention, not distributing it. Indig described ChatGPT as closer to TikTok than to Google in this regard.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The referral plateau is not a failure of AI platforms. It reflects the intended design. Generative AI is built to synthesize and answer, not to route users to external sites. When a consumer asks ChatGPT whether CeraVe or La Roche-Posay is better for sensitive skin, they get an answer. They may never need to click anything. The brand that appears in that answer has won something real, influence over a purchase decision, without ever receiving a referral visit. The brand that does not appear has lost that same decision before the consumer reached their website.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The practical implication is a measurement problem. Teams measuring AI performance by referral traffic volume are measuring the wrong output. The referral number will stay low because the architecture is designed to keep it low. The metric that matters is brand mention share: what percentage of relevant AI responses include the brand, and how that percentage compares to competitors in the same category.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Where the traffic does arrive, it converts better\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">One data point from the report complicates the “AI sends no traffic” narrative in a useful way. When AI does send referral traffic, that traffic performs measurably better than Google referral traffic. Users referred from ChatGPT spend an average of 15 minutes on site versus 8 minutes from Google referrals, generate 12 pageviews per visit versus 9, and convert to transactional sites at a 7% rate versus 5% from Google.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Volume is low, but quality is high. The explanation connects back to the funnel data: by the time someone clicks through from an AI response, they have already done the discovery, comparison, and narrowing inside the AI tool. The click represents a decision that has already been made, not a browsing session where the decision is still forming. AI referral traffic behaves more like branded search traffic than like organic discovery traffic, because the discovery already happened somewhere else.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">For brands that do appear in AI responses, the referral traffic they receive punches above its weight. For brands that do not appear, the volume question is irrelevant because the traffic never arrives in the first place.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Last-click attribution is hiding AI’s real contribution\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The funnel data exposes a specific attribution failure. A consumer discovers a brand through an AI response at the discovery stage (35% of consumers). They research and compare options through AI at the research stage (30%). They narrow their choices through AI at the evaluation stage (32.9%). Then they type the brand name into Google, visit the website through a branded search click, and convert. The conversion gets attributed to search.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In this scenario, AI performed all the upper-funnel work, and search received all the lower-funnel credit. The brand’s analytics dashboard shows a strong branded search channel and a negligible AI referral channel, which leads to the conclusion that AI does not drive business. The conclusion is backwards. AI drove the consideration that search later closed.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Similarweb frames this as the Visibility-over-Traffic principle. Influence within AI responses has become more valuable than click volume from AI responses, because the influence shapes decisions at the discovery and evaluation stages where the shortlist gets built. Measuring referral traffic captures the tail end of a journey whose beginning happened inside a conversation the analytics system never saw.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content that earns AI mentions\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The AI Brand Visibility Index data across six sectors (Finance, Travel, Beauty, Electronics, Fashion, News) reveals a consistent pattern in what content earns brand mentions in AI responses. Similarweb identifies three characteristics that distinguish high-visibility brands from those trailing in AI responses.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Structured, specific, and deep content performs better than broad category pages. A third of ChatGPT citations come from pages three folders deep in a site’s URL structure. A product detail page with a structured “About this item” section outperforms a generic category page. A 2,000-word comparison guide outperforms a 400-word overview. Depth and specificity beat breadth, which runs counter to the consolidation instinct most SEO strategies follow.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Third-party citation presence matters independently of on-site content quality. LLMs weigh consensus across sources. Bankrate in Finance, Travelmath in Travel, and WhoWhatWear in Fashion are all cited heavily in third-party editorial content, not just their own domains. A brand that appears only on its own site looks like a single source. A brand that appears across publishers, review platforms, and community forums looks like a consensus, and consensus is the signal LLMs are designed to surface.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">That third-party presence is the operational output of \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Flink-building\">\u003Cspan style=\"color: rgb(0, 0, 0);\">link building\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> and \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fdigital-pr\">\u003Cspan style=\"color: rgb(0, 0, 0);\">digital PR\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\">. Every placement on a credible publisher, every editorial mention earned through outreach, every \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fguest-posting\">\u003Cspan style=\"color: rgb(0, 0, 0);\">guest post\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> on a domain with editorial standards contributes to the citation pool that AI systems draw from during retrieval. The brands leading the AI Brand Visibility Index are not winning on budget or domain authority alone. They are winning because their names appear across enough trusted sources that the model treats them as consensus answers.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ethan Smith, CEO of Graphite, a content and SEO agency, is quoted in the report reinforcing the same pattern. He notes that appearing at number one in Google for a head keyword is no longer sufficient, because winning AI citations requires appearing multiple times across trusted offsite sources so that AI models recognize the brand as a consensus answer. For long-tail keywords, he notes, the opportunity is even greater.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Accessibility determines whether AI can find the content at all\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The News sector data in the report illustrates a fourth factor that sits underneath content quality and citation presence: whether AI systems can access the content in the first place.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Reuters leads the News AI visibility index with a perfect score of 100, despite having just 1.5 million monthly branded searches. The Guardian ranks second at 60, and AP News third at 57. The New York Times ranks eighth at 25, and the Wall Street Journal ranks ninth at 26. The pattern maps directly to access policies. Reuters, The Guardian, The Independent, and AP News all have open or partially open access and do not block AI crawlers. The Times and the Journal operate paywalls and restrict AI crawler access.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The report frames this as a strategic fork rather than a technical one. Blocking AI crawlers preserves short-term content control but surrenders long-term influence over how journalism shapes public knowledge and brand perception. The brands most exposed to paywall policies and AI crawler restrictions are losing AI visibility momentum fastest.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">For any brand weighing whether to gate content, the News sector data provides a concrete case study. A page behind a paywall or blocked from AI crawlers cannot be retrieved, cited, or recommended. The content might be the best in its category, but if the model cannot reach it, the model cannot surface it. Ensuring that the most citable, authoritative pages on a domain remain accessible to AI crawlers is now a distribution decision with direct visibility consequences.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">The funnel has a new top, and it runs on citations\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The Similarweb data does not predict a future where AI replaces search. The funnel data shows the two coexisting, with AI dominating the upper stages and search retaining a role at the final purchase step. The more precise reading is that the consumer journey now has a new entry point, and that entry point runs on a different set of signals than the one SEO was built around.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Search rewards pages that match query intent, earn backlinks, and carry domain authority. AI rewards brands that appear as consensus answers across trusted sources, produce content structured for extraction, and maintain accessible pages that retrieval systems can reach. The overlap between those two signal sets is large but not complete. A strong SEO program builds many of the same assets AI visibility requires, but it does not automatically build all of them, and the gap is widest at the citation-presence layer.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Flink-insertion\">\u003Cspan style=\"color: rgb(0, 0, 0);\">Link insertions\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> into already-indexed authoritative content accelerate the timeline for building that citation presence, attaching a brand to pages that AI systems already trust rather than waiting for new content to earn its way into the retrieval pool. In an environment where 35% of consumers are forming their brand shortlists inside AI conversations, the speed at which a brand enters the citation pool has a direct relationship to how quickly it becomes discoverable at the top of the funnel.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The purchase funnel did not lose its top. The top moved to a place where different signals determine who gets seen, and the data now exists to show exactly how far it moved.\u003C\u002Fspan>\u003C\u002Fp>","Similarweb data shows 35% of US consumers now use AI tools at the discovery stage versus 13.6% for search engines. AI holds a 2:1 advantage through every funnel stage except the final purchase, where search nearly catches up.","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Ffeatured-images\u002Fai-purchase-funnel-20260420073331-UJOhvaqz.png","AI Now Owns the Top of the Purchase Funnel","35% of US consumers use AI for product discovery versus 13.6% for search. The data behind AI's takeover of upper-funnel brand building.",2128,"2026-04-20T07:25:25.000000Z","2026-04-20T07:34:06.000000Z",{"id":8,"name":25,"email":26,"about":17,"avatar":27,"created_at":28,"updated_at":17,"deleted_at":17},[65,71],{"id":66,"name":67,"slug":68,"created_at":69,"updated_at":69,"deleted_at":17,"pivot":70},3,"SEO","seo","2025-10-26T11:10:22.000000Z",{"blog_id":52,"category_id":66},{"id":31,"name":32,"slug":33,"created_at":34,"updated_at":34,"deleted_at":17,"pivot":72},{"blog_id":52,"category_id":31},{"id":74,"author_id":8,"title":75,"slug":76,"content":77,"short_summary":78,"featured_image":79,"status":14,"meta_title":75,"meta_description":80,"canonical_url":17,"keywords":17,"blog_type":18,"is_featured":45,"word_count":81,"published_at":82,"created_at":83,"updated_at":83,"deleted_at":17,"author":84,"categories":85},329,"Chrome Skills Moves AI Visibility Into the Browser","chrome-skills-moves-ai-visibility-into-the-browser","\u003Ch1>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chrome Skills Moves AI Visibility Into the Browser\u003C\u002Fspan>\u003C\u002Fh1>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">On April 14, Google launched Skills in Chrome, a feature inside Gemini in Chrome that lets users save their most-used AI prompts and re-run them with one click. The rollout begins on Mac, Windows, and ChromeOS for Chrome users set to English-US, with saved Skills syncing across signed-in desktops. Hafsah Ismail, a Product Manager on Chrome, announced the feature on Google’s Keyword blog.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The news framing centers on productivity. Skills lets users save a prompt like “scan this for ingredient substitutions to make the recipe vegan” and re-run it across any recipe page without retyping. For anyone working on link building, digital PR, or AI visibility, the productivity framing misses the more consequential story. A new surface just opened where AI decides which pages get read, and the decision happens inside the browser after the user has already clicked through.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">What Skills does, mechanically\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">A Skill has three parts: a saved prompt, a trigger, and an execution scope.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The saved prompt holds an instruction a user has already written in Gemini and decided to reuse. Skills can be saved from chat history with one click, and Gemini prompts users to save frequently-used prompts automatically. The trigger comes as a forward slash or plus sign inside the Gemini side panel, which opens a menu of saved Skills. The execution scope covers the active browser tab plus any additional tabs the user selects with the plus button.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">When a Skill runs, Gemini reads the content of the selected tabs, applies the prompt against that content, and returns a synthesized output inside the Gemini panel. The user does not need to scroll any of the underlying pages. The output can take the shape of a summary, a comparison, a rewritten version, a filtered extraction, or whatever the prompt instructs. For actions with consequences outside the browser like calendar events or email sends, Skills asks for confirmation, benefits from Chrome’s layered protections, and inherits the same safeguards Gemini in Chrome already applies to standard prompts.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Skills replace the 2025 Extensions architecture, which was limited to Google’s own properties like Gmail and Drive. Skills run on any website, which means a product comparison Skill works on independent e-commerce sites, a PDF summarization Skill works on any PDF opened in the browser, and a recipe transformation Skill works on independent food blogs. The universality matters for anyone producing web content, because any page a Skill can reach becomes content the AI layer can consume.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Google’s Skills Library at chrome:\u002F\u002Fskills\u002Fbrowse ships with prebuilt Skills across Learning, Research, Shopping, Writing, and Health & Wellness. Users can save any of these with one click, customize the underlying prompt, or build their own from scratch. The library functions as editorial infrastructure: Google is telling users what to automate first.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Underneath the user-facing mechanics, Skills integrates with Agent Mode in Gemini 3.1 Pro, which means a Skill can be called autonomously by an agent completing a multi-step goal. A user asking Gemini to “plan a weekend trip” might never click “run comparison Skill” directly; Agent Mode selects and runs Skills based on the broader goal. Content consumed by an autonomous agent never reaches the user’s eyes directly.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">The attention economy inside the browser\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Traditional SEO works on a pipeline: user issues query, search engine returns pages, user clicks, user reads, user converts. AI Overviews already compressed that pipeline by answering queries before the click. Skills compresses what happens after the click.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">When a user runs a comparison Skill across five product tabs, each of those five pages gets fetched and parsed. The analytics system counts five page views, each of which contributed to the output the user ended up acting on, but the user read none of them, scrolled past no CTAs, saw no related content modules, and clicked no internal links. The pages did real work and got zero credit for the work they did.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The pattern has been building since AI Overviews rolled out last year. Impression-based measurement keeps registering activity, engagement-based measurement keeps showing it moving, and conversion-based measurement keeps producing flat results from pages that used to convert. The explanation comes down to the AI layer sitting between the page and the user on both sides of the click. Users interact with the layer, not the page, and metrics calibrated to page-level interaction register the absence without explaining it.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">How the AI layer picks which source to trust\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">When a Skill runs across multiple tabs, Gemini has to decide how to weight content from each tab. Google has not published ranking signals for cross-tab synthesis, but the observable behavior suggests several inputs at work.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Page authority, as measured by the signals Google Search already uses, remains one input. A Skill running across three product pages from different merchants weights authoritative publishers differently from random blog posts. The quality signals that determine SERP placement influence which content the AI leans on when pages get synthesized.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Entity recognition matters independently. Gemini’s knowledge graph knows which brands, products, and authors are real entities. Content from recognized entities carries more weight than content from unrecognized ones. A brand that is not a known entity to Gemini starts from a disadvantage regardless of how well the page is written.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Recency matters for queries where up-to-date information determines the answer. A recently-updated product page with current specs beats an outdated one, and fresh editorial coverage beats coverage from three years ago when the topic has moved on.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Structured data gets read by the AI layer the same way it gets read by search crawlers. Product schema identifies specifications cleanly, Recipe schema identifies ingredients, FAQ schema identifies question-answer pairs. A page with well-implemented schema is easier to extract from than a page where all information sits inside unstructured prose.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">External validation comes into play when the AI has to choose between competing claims. A brand cited in authoritative publications, backed by reviews from credible sources, and linked to by industry media carries more weight than one without those signals. Gemini was trained on the open web, and the publications that signal authority to a search engine signal authority to a language model for the same underlying reasons.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">What the Skills Library tells us about user intent\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The prebuilt Skills in the library point at specific high-intent user task categories, and each category maps to a content strategy question.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Learning Skills automate concept explanation, which rewards educational content structured cleanly enough for a model to extract a correct explanation rather than a confused one. Research Skills handle source comparison and fact-checking, favoring pages that cite primary sources and structure claims with explicit attribution. In Shopping, where users compare specs across multiple tabs, structured product data outperforms prose marketing copy. Writing Skills pull from source material to generate drafts, which means content written in a brand’s authentic voice has a narrow window to get quoted directly before the user receives a generated version. Health & Wellness Skills extract nutritional and medical information, a category where credibility signals and authoritative publication matter more than clever copy.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The Library also works as a product signal. Google is telling users, through the defaults it ships, that these categories are where AI automation will concentrate first. Content teams working in any of these categories should assume their pages will be accessed through Skills before they are accessed through traditional organic search within two or three product cycles.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Why link building and digital PR matter more, not less\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">A common reading of the AI-layer transition concludes that SEO is dead, links do not matter, and brands should give up on traditional tactics. The reading misses how language models actually decide which sources to trust.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Gemini, like every other major LLM, was trained on the open web and continues to rely on web data during inference through retrieval-augmented generation. The signals that determine what the web says about a brand (backlinks, mentions in reputable publications, editorial coverage) become the signals that determine what AI answers say about that brand. Every authoritative mention of a brand in a trusted publication adds weight to that brand’s entity recognition score in the underlying knowledge base.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Flink-building\">\u003Cspan style=\"color: rgb(0, 0, 0);\">Link building\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\">, in the narrow sense of acquiring followed links on authoritative domains, still produces the same search visibility benefits it always has. It now also produces a second-order benefit: seeding the training and grounding data that AI answers draw from. Placements on indexable domains with strong editorial standards contribute to the pool of citations that Gemini, ChatGPT, Perplexity, and Claude all lean on when asked to assemble an answer.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fdigital-pr\">\u003Cspan style=\"color: rgb(0, 0, 0);\">Digital PR\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> does similar work at a different frequency. Earning coverage in a tier-one publication produces a citation that gets indexed, crawled, included in training updates, and retrieved by grounding systems during live queries. A single mention in the Wall Street Journal, TechCrunch, or a relevant industry trade publication has multi-year compounding value now in a way it did not when search was one product. The compounding happens because the citation gets reused across every AI layer that touches related queries, often for years after publication.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fguest-posting\">\u003Cspan style=\"color: rgb(0, 0, 0);\">Guest posting\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> on reputable domains does a third thing: it seeds specific claims and framings into publications that models treat as source material. The content of a guest post becomes extractable material, not just a backlink. When a model summarizes a topic, the framings present in authoritative source pages influence the summary directly. Brands producing guest content on credible publications shape how AI systems describe their category, not just how AI systems rank their domain.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Flink-insertion\">\u003Cspan style=\"color: rgb(0, 0, 0);\">Link insertions\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"color: rgb(0, 0, 0);\"> into existing authoritative content attach a brand to pages that have already earned trust, rather than waiting for new content to earn it. In an environment where AI layers weight established pages more heavily than fresh ones, inserting relevant brand references into pages that already rank and get cited compresses the time required to build visibility.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">Content structure for pages that get parsed\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Even with strong external signals, the content on the page itself determines what a Skill extracts. A page cited by every major publication will still lose to a page with cleaner structure if the Skill is extracting specific facts rather than evaluating general authority.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Entity consistency across every page a brand owns does more work than it used to. An AI layer assembling an answer about a company needs to match information on the page to a known entity, and inconsistent naming conventions, varying author attributions, or missing structured data leaves room for misattribution. A page referring to the brand as “Acme Inc” in one place, “ACME” in another, and “Acme Corporation” in a third looks like three different entities to a model reading programmatically.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Claims placed near the top of a section with supporting detail below get extracted more cleanly than claims buried in paragraph three. The extraction behavior favors pages that follow journalistic inverted-pyramid structure: key fact first, elaboration after. Pages written with marketing-style build-up (background, context, setup, reveal) get summarized rather than quoted, because the model has to make a guess about which element was the key point.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Structured comparisons using tables get parsed as comparisons. The same information in prose gets summarized into a paragraph rather than presented as the side-by-side the user asked for. Product pages that use clean specification tables beat product pages describing features in marketing copy when a Shopping Skill is running.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Schema markup (Product, Recipe, Article, FAQ, HowTo, Review) does machine-readable work that prose cannot. A Shopping Skill extracting features from a product page with Product schema gets exact values. The same Skill on a page without Product schema has to parse the HTML and make best guesses, which means more information loss between the page and the output.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Internal linking with consistent anchor text signals topical authority to crawlers and, by extension, to the knowledge structures models build from web data. Generic anchor text like “learn more,” “click here,” or “this page” wastes that signal, while anchor text aligned with the target page’s topic reinforces the association between URL and topic in the model’s internal representation of the site.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">What to measure when pages are inputs, not destinations\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Traditional page analytics degrade in an AI-layer world. Time on page shortens because users spend their time in the Gemini panel; bounce rate rises because users open tabs, run Skills, and close tabs without interacting with any on-page element; conversion rate flattens because users act on synthesized output rather than on the page CTA. The on-page metrics keep working the way they always did, while the on-page behavior the metrics are calibrated to has moved elsewhere.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">New measurement approaches track different signals. Brand-mention monitoring across AI answer engines (Perplexity, ChatGPT, Gemini, Claude) reveals whether a brand gets surfaced in generative responses. Citation tracking through checking which sources get linked from AI answer pages reveals which content assets earn their way into grounding data. Entity presence checking, which involves testing whether a brand returns correct information when queried directly in an LLM, reveals whether the brand has achieved entity status in the underlying model.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Traffic quality assessment now has to account for the portion of page views coming from AI layers fetching content on behalf of users. Bot detection systems may or may not classify these as bots, and the definitions are still unsettled. A high bounce rate from an AI referer may mean the page performed its function correctly inside an AI workflow, rather than the user disliking the page. The measurement stack needs new categories for traffic that is neither clearly human nor clearly automated in the traditional sense.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"color: rgb(0, 0, 0);\">The direction of travel\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chrome still routes a large share of web traffic, and every new AI feature inside it moves reading further away from the page. Atlas from OpenAI, Comet from Perplexity, Dia from The Browser Company, and the other AI-native browsers will each add their own version of cross-tab execution, and they will converge on similar user behaviors because the underlying product logic is the same: users want AI to handle the reading, and the browser is the place where that happens.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Content strategy built around the assumption that users scroll, read, and click is building for a shrinking share of traffic. Content strategy built around the assumption that AI layers will extract, synthesize, and cite is building for the share that is growing. The practical work is recognizing that the same pages often need to perform in both environments, and that the signals supporting performance in the AI layer (authority, structure, entity consistency, machine-readable data) are not in tension with the signals supporting performance for human readers. Clean structure, entity consistency, and authoritative coverage help both audiences equally.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Attention is moving from the page to the AI layer, and the movement does not read as a temporary product behavior Google might roll back. It matches the direction of every adjacent product Google has released in the past two years, and it matches the independent product decisions made by every browser competitor.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Link building and digital PR retain their value because they produce signals the AI layer reads the same way search engines read them, content structure retains its value because well-structured pages get parsed more cleanly, and entity consistency gains value as models need to know who a brand is before they cite it. The tactics that hold up are the ones that earn an authoritative place in the pool of content AI layers treat as trustworthy, and the pages that hold up are the ones that survive the scrutiny of both human readers and programmatic extraction.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Skills represents one implementation of that pattern. Others will follow, and the pattern will keep showing up in different products through the rest of the decade. The audience for your page now includes models, and the practical work is making sure the page serves both audiences without compromising either.\u003C\u002Fspan>\u003C\u002Fp>","Google launched Skills in Chrome on April 14, letting users save Gemini prompts and run them across multiple tabs with one click. The browser becomes a new surface for AI visibility, with implications for link building, digital PR, and how content gets cited by AI.","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Ffeatured-images\u002Fchrome-skills-ai-visibility-20260416082905-mE5furCU.png","Google's Skills in Chrome lets users save AI prompts and run them across multiple tabs. Implications for AI visibility, link building, and SEO.",2593,"2026-04-16T08:21:24.000000Z","2026-04-16T08:30:17.000000Z",{"id":8,"name":25,"email":26,"about":17,"avatar":27,"created_at":28,"updated_at":17,"deleted_at":17},[],{"id":87,"author_id":66,"title":88,"slug":89,"content":90,"short_summary":91,"featured_image":92,"status":14,"meta_title":88,"meta_description":93,"canonical_url":17,"keywords":17,"blog_type":18,"is_featured":45,"word_count":94,"published_at":95,"created_at":96,"updated_at":96,"deleted_at":17,"author":97,"categories":102},327,"Black Hat Link Building Will STILL Destroy Your SEO","black-hat-link-building-guide-2026","\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cem>This is an update to an old post on the negative effects of \u003C\u002Fem>\u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fblog\u002Fhow-black-hat-link-building-will-destroy-your-seo\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cem>\u003Cu>black hat SEO\u003C\u002Fu>\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cem> published in 2022. Not a lot has changed since then—black hat SEO is still bad and not worth it. Nevertheless, four years is plenty of time for new insights to emerge, especially regarding AI.\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">The term \u003Cem>black hat \u003C\u002Fem>refers to a villain\u003Cem> \u003C\u002Fem>in fiction and real life, though it began with the former. It dates back to the early 1900s, when Western TV shows and movies had the villain wear a black hat and the hero a white hat. There was rarely an in-universe explanation to this; it’s just so the audience could tell who the good and bad guys were.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Later, the tradition found its way into the real world—in this case, SEO. It’s unclear why the industry adopted it, but if I have to guess, it somewhat fit its “Wild West” image back then. \u003Cem>Black hat SEO \u003C\u002Fem>is basically SEO that goes against established guidelines like \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fdevelopers.google.com\u002Fsearch\u002Fdocs\u002Fessentials\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cu>Google Search Essentials\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">. It won’t land a website owner behind bars, but it can lead to serious penalties.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">And with AI all but fully integrated into search engines, it’s time we update our list of black hat SEO techniques and why they should be avoided.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 1.5em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">It Can’t Be \u003Cem>That \u003C\u002Fem>Bad, Right?\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Sure. If you don’t mind your website being forgotten.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Any business, whether fully digital or with a brick-and-mortar office, knows that visibility is crucial in online marketing. Its content may be superb and its image reliable, but neither of these matters if people can’t see it. That’s why penalties involve:\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Ranking Drops\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Ranking drops are so commonplace that it should be noted that \u003Cem>not all drops are penalties\u003C\u002Fem>. In some cases, they may have been caused by regular updates or technical issues with the website. When the cause is attributed to a violation, though, Google will inform you via the Search Console (except for automatic penalties, which have to be tracked by analytics).\u003C\u002Fspan>\u003C\u002Fp>\u003Cfigure data-type=\"image\" data-align=\"center\" style=\"display: inline-block; max-width: 100%; margin-left: auto; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002F1568123421penalties-20260415062613-b3oc1dBH.png\" data-align=\"center\" style=\"text-align: center; display: block; margin-left: auto; margin-right: auto;\">\u003C\u002Ffigure>\u003Cp style=\"text-align: center;\">\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cem>Source: Serpstat\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Losing your hard-earned ranking in search results is disheartening. Not only will site traffic plummet like a rock, but recovering from the penalty won’t be as quick as you might think. As such, websites should waste no time fixing the issue and submitting a Reconsideration Request to Google (the latter only applies to manual penalties).\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Disappearing From Results\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">The more serious violations suffer a worse penalty: \u003Cem>deindexing. \u003C\u002Fem>It means Google removed the website and all its pages from the search results, and users can’t search them even if they enter the exact terms. Essentially, the website doesn’t exist.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">It’s unclear as to what reasons a website can be taken off the search results. That said, a likely example is publishing prohibited and restricted content, such as:\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Spreading misinformation and misleading content\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Hate speech on the grounds of gender, race, etc.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Sexually explicit content, such as pornography\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Content that encourages dangerous behavior\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Inciting activities that threaten people’s safety\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">It’s possible for common violations like unnatural links and thin content to be punishable by deindexing. To that end, they have to be really egregious to warrant this penalty.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">GBP Suspension or Removal\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">If your website gets a penalty, your Google Business Profile (GBP) might also be at risk of a “soft” or “hard” penalty. A soft penalty involves removing your ability to edit the details in your business’s GBP, whereas a hard penalty means outright removing the entire profile.\u003C\u002Fspan>\u003C\u002Fp>\u003Cfigure data-type=\"image\" data-align=\"left\" style=\"display: inline-block; max-width: 100%; margin-left: 0px; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002Fthread-418424475-15979086341755889868-20260415062646-c7ZSjg2n.png\" data-align=\"left\">\u003C\u002Ffigure>\u003Cp style=\"text-align: center;\">\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cem>Source: Google\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Google may \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fsupport.google.com\u002Fbusiness\u002Fcommunity-guide\u002F418424475\u002Fguide-to-handling-google-business-profile-suspensions?hl=en\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cu>penalize a business’s GBP\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\"> if it:\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Misleads customers by pretending to be a different business\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Uses a mailing address that isn’t staffed by its employees\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Can’t be verified through normal means (for sensitive lines of work)\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Is found to be engaging in spam or other suspicious activities\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Unlike SEO violations, Google doesn’t disclose GBP ones. It only prompts users to take a look at their profile and edit any information that got them penalized.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Bad User Experience\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Black hat SEO is less concerned with improving user experience and more concerned with proliferating backlinks. And this is despite SEO experts repeatedly stating that the quantity approach no longer works.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Put yourself in your customer’s shoes. Would they read a page written like this?\u003C\u002Fspan>\u003C\u002Fp>\u003Cfigure data-type=\"image\" data-align=\"left\" style=\"display: inline-block; max-width: 100%; margin-left: 0px; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002F5-2-20260415062734-N27EZP76.jpg\" data-align=\"left\">\u003C\u002Ffigure>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">I sure don’t need to be reminded that I’m reading an article about Hindi motivational blogs (despite not being Hindi myself) one too many times. Not to mention that Google frowns on this practice because it adds little to no value.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">But perhaps Google may not even need to lift a finger. Bad user experience leads to fewer visitors because nothing puts them off more than a page that doesn’t have the information they seek. This reduction in traffic can have serious implications for your website’s ranking.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 1.5em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">So, What Should I Avoid Doing?\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Short answer: \u003Cem>Don’t be lazy.\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Just as Rome wasn’t built in a day, good link building takes time. The quick and easy ways you may have seen or heard might involve black hat practices that can get your website in hot water. As such, resist the temptation to do the following:\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Private Blog Networks\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">NO-BS Marketplace (at least, its predecessor business) used to create and manage private blog networks (PBNs) for its backlinks. Because getting a backlink from reputable websites takes time and isn’t guaranteed, PBNs work by having your own network of blogs and sites. Suddenly, you have a source of backlinks that you can control and distribute.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">With Google’s crackdown on low-quality content and link schemes, the company stopped doing PBNs. They’re now punishable for a range of violations, from the exchange of goods for backlinks to expired domain abuse.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Despite being prohibited, many businesses continue to rely on PBNs for their SEO. And the worst part is that you can still get in trouble, even if you didn’t know that the backlink came from a PBN site. The algorithm won’t discriminate.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">If you come across a potential source of backlinks, it pays to get a closer look first. I’m not just talking about the quality of the published content (though it’s a major factor), but also other signals that visitors aren’t usually visible. Google’s detection system also uses these to identify PBNs, but some of these are accessible to the public.\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>High DA\u002FDR, Low UR\u002FPA: \u003C\u002Fstrong>Depending on which SEO analytics tool you use, you can spot a PBN if there’s a huge gap between their domain-level and page-level ratings. A low page-level rating means the site hasn’t uploaded quality content for a while.\u003C\u002Fspan>\u003Cbr>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cfigure data-type=\"image\" data-align=\"left\" style=\"display: inline-block; max-width: 100%; margin-left: 0px; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002F13-2-20260415062916-3gV4RrTN.jpg\" data-align=\"left\">\u003C\u002Ffigure>\u003Cul>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>Same owner: \u003C\u002Fstrong>You can look up a website’s ownership by checking its WHOIS (later, RDAP) data via the \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Flookup.icann.org\u002Fen\u002Flookup\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cu>ICANN Lookup tool\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">. Multiple websites registered to one owner or group are typically a sign of a PBN. Don’t expect to rely on it all the time, though, as data privacy laws allow owners to redact their WHOIS\u002FRDAP information.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cfigure data-type=\"image\" data-align=\"left\" style=\"display: inline-block; max-width: 100%; margin-left: 0px; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002F14-1-20260415062939-ITGadrgO.jpg\" data-align=\"left\">\u003C\u002Ffigure>\u003Cp style=\"text-align: center;\">\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cem>This UK-based website has its data protected under the GDPR and the Data Protection Act\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>Same IP address: \u003C\u002Fstrong>Some PBNs operate out of a single location, represented by the sites having the same IP address. Again, you can confirm this using online tools like\u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fdnschecker.org\u002Fdomain-ip-lookup.php\">\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\"> \u003C\u002Fspan>\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cu>DNS Checker\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\"> and\u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fwww.nslookup.io\u002Fwebsite-to-ip-lookup\u002F\">\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\"> \u003C\u002Fspan>\u003C\u002Fa>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"http:\u002F\u002FNSLookup.io\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cu>NSLookup.io\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Link Cloaking\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Link cloaking pulls off a “bait and switch” by running two different versions of one website. One version is designed for crawlers, while another is made for human users. Below is an example from BMW’s cloaking attempt back in 2006, which got its German site deindexed.\u003C\u002Fspan>\u003C\u002Fp>\u003Cfigure data-type=\"image\" data-align=\"left\" style=\"display: inline-block; max-width: 100%; margin-left: 0px; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002Fbmw-example1-20260415063009-nBlSDvvY.png\" data-align=\"left\">\u003C\u002Ffigure>\u003Cp style=\"text-align: center;\">\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cem>Version for crawlers. Source: \u003C\u002Fem>\u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fwww.mattcutts.com\u002Fblog\u002Framping-up-on-international-webspam\u002F\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cem>\u003Cu>Matt Cutts\u003C\u002Fu>\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fa>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">According to Matt Cutts, formerly of Google, as soon as the site detects a human visitor, it would initiate a JavaScript redirect to lead them to a more user-friendly website.\u003C\u002Fspan>\u003C\u002Fp>\u003Cfigure data-type=\"image\" data-align=\"left\" style=\"display: inline-block; max-width: 100%; margin-left: 0px; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002Fbmw-example2-20260415063030-gINVlWrQ.png\" data-align=\"left\">\u003C\u002Ffigure>\u003Cp style=\"text-align: center;\">\u003Cbr>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cem>Version for humans. Source: Matt Cutts\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">To Google, this is outright deception. Regardless of intentions, your website should show the same content to crawlers and visitors alike. In fact, this cautionary tale teaches us to always make content for humans, not search engines.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Poorly Made Content (Especially AI Slop)\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">I’ve talked about the importance of quality content so many times that you probably don’t need another in-depth discussion. If you aren’t confident in your writing skills, there’s the option of hiring \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fnobsmarketplace.com\u002Fguest-posting\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cu>guest posting\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\"> experts.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">In the old post, we discussed the various reasons content can be flagged as low quality. Some of these include spinning, too many distracting ads, and the author having a less savory reputation. That’s still the case today, but there was one thing that it didn’t cover.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">I’m talking about AI-generated content.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Google’s stance is that it doesn’t penalize AI content, arguing that the technology can be helpful when used correctly. Additionally, AI content is subject to the same guidelines as human-made content and penalized all the same.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">But if Google won’t ban AI content, a growing number of publishers certainly will. They’ll likely have an extra step or two to weed out AI-generated submissions through checking tools or even chatbots. While that carries the risk of falsely flagging human-made ones, they may prefer not to leave everything to chance.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">And let’s face it, people still want a human talking to them through the article.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Link Spam\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">This one goes without saying. And just like PBN links, you can also get in trouble for having links from link schemes without noticing. In fact, the industry has a term for the deliberate process of sending bad links to websites, known as \u003Cem>negative SEO\u003C\u002Fem>.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">We’ve established that PBNs are a type of link spam, but there are others.\u003C\u002Fspan>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>Link exchange: \u003C\u002Fstrong>Any link acquired by exchanging goods (e.g., money, goods) goes against Google’s guidelines. However, links coded as “nofollow” or “sponsored” are safe from being penalized.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>Forum and comment spam links:\u003C\u002Fstrong> Online forums that don’t regulate link spam on users’ posts are prone to such links. While Google generally discounts these links, you shouldn’t be putting them in the first place.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>Hidden links:\u003C\u002Fstrong> These links are camouflaged within the website by various means. Examples include placing them off-screen, changing the font color to blend with the background or whitespace, and using a small character as anchor text.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>Reciprocal link spam:\u003C\u002Fstrong> Giving a link in return for a backlink isn’t prohibited. It only becomes a violation when you go around asking for links from dozens of sites. As for the threshold, \u003C\u002Fspan>\u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"text-primary-blue-600 hover:underline\" href=\"https:\u002F\u002Fahrefs.com\u002Fblog\u002Fbad-links\u002F\">\u003Cspan style=\"font-size: 11pt; color: rgb(17, 85, 204); font-family: Arial, sans-serif;\">\u003Cu>Ahrefs said 30\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\"> is a reasonable number.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">\u003Cstrong>Automated backlinks:\u003C\u002Fstrong> Automation can help with a lot of things in link building, but generating links isn’t one of them. Google won’t hesitate to penalize your content if it contains automated links because they can be used for spam.\u003C\u002Fspan>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>\u003Cspan style=\"font-size: 1.25em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Black Hat Redirects\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Domains can last for up to 10 years before they need to be registered again. If the owner lets the registration expire, the website becomes like this.\u003C\u002Fspan>\u003C\u002Fp>\u003Cfigure data-type=\"image\" data-align=\"left\" style=\"display: inline-block; max-width: 100%; margin-left: 0px; margin-right: auto;\">\u003Cimg class=\"max-w-full h-auto rounded-lg\" src=\"https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Fblog-images\u002F20-20260415063112-7DjAmeN6.jpg\" data-align=\"left\">\u003C\u002Ffigure>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">This means that the domain is up for grabs. The original owner can still get it back, but they need to move fast because plenty of others are eyeing it too. These include website owners who use expired domains for black hat 301 redirect link building.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Despite the original website no longer being there, all the link equity it saved remains. This saves black hats the trouble of having to build a website’s authority from scratch, which is why they grab as many of these as possible. The problem with this is that it deceives users into thinking that the new website is part of the old one.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Google saw this as a big enough problem and acted decisively. One of its core updates in 2024 featured penalties for what’s called \u003Cem>expired domain abuse\u003C\u002Fem>. Long story short, if you manage an online bike store, don’t buy a domain that used to belong to a federal agency. And for Google’s sake, don’t cram low-effort or unrelated content into it.\u003C\u002Fspan>\u003C\u002Fp>\u003Ch2>\u003Cspan style=\"font-size: 1.5em; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Not Worth It\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Black hat link building may be easier and deliver results faster. However, they’re never worth the effort because search engine algorithms have become better at weeding out these practices. Even if the black hat manages to stay undetected, it’ll dissuade users from visiting or returning for reasons we just went over.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 11pt; color: rgb(0, 0, 0); font-family: Arial, sans-serif;\">Save yourself the trouble. Build links by the rules.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003Cbr>\u003Cbr>\u003C\u002Fp>","Despite having rules in place, some websites continue to rely on prohibited SEO techniques. This approach, known as black-hat link building, undermines the quality of search and leads to penalties as serious as getting removed from search results. Learn how black hat link building is done and why you should avoid doing it at all costs.","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Ffeatured-images\u002Ffirmbee-seo-793031-1280-20260415055325-x5pujICf.jpg","In this updated guide, we go over the many black hat link building methods and their serious implications to a website’s search visibility.",1925,"2026-04-15T14:32:00.000000Z","2026-04-15T06:32:51.000000Z",{"id":66,"name":98,"email":99,"about":100,"avatar":101,"created_at":69,"updated_at":69,"deleted_at":17},"Jonas Trinidad","jonas@nobsmarketplace.com","","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fblog-authors\u002F2023\u002F05\u002Fjonas-trinidad.jpg",[103,107,109,115],{"id":104,"name":105,"slug":18,"created_at":69,"updated_at":69,"deleted_at":17,"pivot":106},1,"Blogs",{"blog_id":87,"category_id":104},{"id":66,"name":67,"slug":68,"created_at":69,"updated_at":69,"deleted_at":17,"pivot":108},{"blog_id":87,"category_id":66},{"id":110,"name":111,"slug":112,"created_at":113,"updated_at":113,"deleted_at":17,"pivot":114},8,"Link Building","link-building","2025-10-26T11:10:26.000000Z",{"blog_id":87,"category_id":110},{"id":116,"name":117,"slug":118,"created_at":119,"updated_at":119,"deleted_at":17,"pivot":120},16,"Educative Content","educative-content","2026-02-10T11:18:29.000000Z",{"blog_id":87,"category_id":116},[122,134,152],{"id":123,"author_id":8,"title":124,"slug":125,"featured_image":126,"published_at":127,"short_summary":128,"word_count":129,"author":130,"categories":131},322,"90 Zero-Day Exploits in One Year: Why Cybersecurity Is Now an SEO Problem","zero-day-exploits-seo-impact","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Ffeatured-images\u002Fcybersecurity-seo-zero-day-20260408164627-b07CR0wh.png","2026-04-08T16:22:47.000000Z","Google’s latest threat intelligence report tracked 90 zero-day exploits, with enterprise software as the top target. Paired with Sundar Pichai’s warning that AI will break most existing software, this post explains what zero-days are, who is exploiting them, and why breaches destroy SEO performance.",2298,{"id":8,"name":25,"avatar":27,"email":26},[132],{"id":66,"name":67,"pivot":133},{"blog_id":123,"category_id":66},{"id":135,"author_id":66,"title":136,"slug":137,"featured_image":138,"published_at":139,"short_summary":140,"word_count":141,"author":142,"categories":143},320,"Benefits of Link Building You Probably Don’t Know: A Revisit","benefits-of-link-building-1","https:\u002F\u002Fwebsite-cdn.nobsmarketplace.com\u002Fuploads\u002Ffeatured-images\u002Fparveender-backlinks-7791412-1280-20260408050806-Kh2bsBoF.png","2026-04-08T13:13:00.000000Z","If you think that link building is only good for boosting your website's ranking in search results, think again. The benefits of this core component of SEO go beyond the search engine, which is why it's still widely employed. Learn the lesser-known benefits of link building in this updated guide.",1082,{"id":66,"name":98,"avatar":101,"email":99},[144,146,148,150],{"id":104,"name":105,"pivot":145},{"blog_id":135,"category_id":104},{"id":66,"name":67,"pivot":147},{"blog_id":135,"category_id":66},{"id":110,"name":111,"pivot":149},{"blog_id":135,"category_id":110},{"id":116,"name":117,"pivot":151},{"blog_id":135,"category_id":116},{"id":7,"author_id":8,"title":9,"slug":10,"featured_image":13,"published_at":21,"short_summary":12,"word_count":20,"author":153,"categories":154},{"id":8,"name":25,"avatar":27,"email":26},[155],{"id":31,"name":32,"pivot":156},{"blog_id":7,"category_id":31}]