<\/p>
Google\u2019s John Mueller offered a simple solution to a Redditor who blamed Google\u2019s \u201cAI\u201d for a note in the SERPs saying that the website was down since early 2026.<\/p>
The Redditor didn\u2019t create a post on Reddit, they just linked to their blog post that blamed Google and AI. This enabled Mueller to go straight to the site, identify the cause as having to do with JavaScript implementation, and then set them straight that it wasn\u2019t Google\u2019s fault.<\/p>
The blog post by the Redditor blames Google, headlining the article with a computer science buzzword salad that over-complicates and (unknowingly) misstates the actual problem.<\/p>
The article title is:<\/em><\/p> \u201cGoogle Might Think Your Website Is Down That part about \u201ccross-page AI aggregation\u201d and \u201cliability vectors\u201d is eyebrow raising because none of those terms are established terms of art in computer science.<\/p> The \u201ccross-page\u201d thing is likely a reference to Google\u2019s Query Fan-Out, where a question on Google\u2019s AI Mode is turned into multiple queries that are then sent to Google\u2019s Classic Search.<\/p> Regarding \u201cliability vectors,\u201d a vector is a real thing that\u2019s discussed in SEO and is a part of Natural Language Processing (NLP). But \u201cLiability Vector\u201d is not a part of it.<\/p> The Redditor\u2019s blog post admits that they don\u2019t know if Google is able to detect if a site is down or not:<\/p> \u201cI\u2019m not aware of Google having any special capability to detect whether websites are up or down. And even if my internal service went down, Google wouldn\u2019t be able to detect that since it\u2019s behind a login wall.\u201d<\/p> <\/blockquote> And they appear to maybe not be aware of how RAG or Query Fan-Out works, or maybe how Google\u2019s AI systems work. The author seems to regard it as a discovery that Google is referencing fresh information instead of Parametric Knowledge (information in the LLM that was gained from training).<\/p> They write that Google\u2019s AI answer says that the website indicated the site was offline since 2026.:<\/em><\/p> \u201c\u2026the phrasing says the website indicated rather than people indicated; though in the age of LLMs uncertainty, that distinction might not mean much anymore.<\/p> \u2026it clearly mentions the timeframe as early 2026. Since the website didn\u2019t exist before mid-2025, this actually suggests Google has relatively fresh information; although again, LLMs!\u201d<\/p> <\/blockquote> A little later in the blog post the Redditor admits that they don\u2019t know why Google is saying that the website is offline.<\/p> They explained that they implemented a shot in the dark solution by removing a pop-up. They were incorrectly guessing that it was the pop-up that was causing the issue and this highlights the importance of being certain of what\u2019s causing issues before making changes in the hope that this will fix them.<\/p> The Redditor shared they didn\u2019t know how Google summarizes information about a site in response to a query about the site, and expressed their concern that they believe it\u2019s possible that Google can scrape irrelevant information then show it as an answer.<\/p> They write:<\/em><\/p> \u201c\u2026we don\u2019t know how exactly Google assembles the mix of pages it uses to generate LLM responses.<\/p> This is problematic because anything on your web pages might now influence unrelated answers.<\/p> \u2026Google\u2019s AI might grab any of this and present it as the answer.\u201d<\/p> <\/blockquote> I don\u2019t fault the author for not knowing how Google AI search works, I\u2019m fairly certain it\u2019s not widely known. It\u2019s easy to get the impression that it\u2019s an AI answering questions.<\/p> But what\u2019s basically going on is that AI search is based on Classic Search, with AI synthesizing the content it finds online into a natural language answer. It\u2019s like asking someone a question, they Google it, then they explain the answer from what they learned from reading the website pages.<\/p> Mueller responded to the person\u2019s Reddit post in a neutral and polite manner, showing why the fault lies in the Redditor\u2019s implementation.<\/p> Mueller explained:<\/em><\/p> \u201cIs that your site? I\u2019d recommend not using JS to change text on your page from \u201cnot available\u201d to \u201cavailable\u201d and instead to just load that whole chunk from JS. That way, if a client doesn\u2019t run your JS, it won\u2019t get misleading information.<\/p> This is similar to how Google doesn\u2019t recommend using JS to change a robots meta tag from \u201cnoindex\u201d to \u201cplease consider my fine work of html markup for inclusion\u201d (there is no \u201cindex\u201d robots meta tag, so you can be creative).\u201d<\/p> <\/blockquote> Mueller\u2019s response explains that the site is relying on JavaScript to replace placeholder text that is served briefly before the page loads, which only works for visitors whose browsers actually run that script.<\/p> What happened here is that Google read that placeholder text that the web page showed as the indexed content. Google saw the original served content with the \u201cnot available\u201d message and treated it as the content.<\/p> Mueller explained that the safer approach is to have the correct information present in the page\u2019s base HTML from the start, so that both users and search engines receive the same content.<\/p> There are multiple takeaways here that go beyond the technical issue underlying the Redditor\u2019s problem. Top of the list is how they tried to guess their way to an answer.<\/p> They really didn\u2019t know how Google AI search works, which introduced a series of assumptions that complicated their ability to diagnose the issue. Then they implemented a \u201cfix\u201d based on guessing what they thought was probably causing the issue.<\/p> Guessing is an approach to SEO problems that\u2019s justified on Google being opaque but sometimes it\u2019s not about Google, it\u2019s about a knowledge gap in SEO itself and a signal that further testing and diagnosis is necessary.<\/p> Featured Image by Shutterstock\/Kues<\/em><\/p> <\/div> News,SEO#Google #Shows #Site #Offline #Due #Content #Delivery #sejournal #martinibuster1771027091<\/p> ","protected":false},"excerpt":{"rendered":" Google\u2019s John Mueller offered a simple solution to a Redditor who blamed Google\u2019s \u201cAI\u201d for a note in the SERPs saying that the website was down since early 2026. The Redditor didn\u2019t create a post on Reddit, they just linked to their blog post that blamed Google and AI. This enabled Mueller to go straight […]<\/p>\n","protected":false},"author":1,"featured_media":3476,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[185,331,1041,75,415,10826,80,4221,420],"class_list":["post-3475","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-accessibility","tag-content","tag-delivery","tag-due","tag-google","tag-martinibuster","tag-offline","tag-sejournal","tag-shows","tag-site"],"acf":[],"_links":{"self":[{"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=\/wp\/v2\/posts\/3475","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3475"}],"version-history":[{"count":0,"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=\/wp\/v2\/posts\/3475\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=\/wp\/v2\/media\/3476"}],"wp:attachment":[{"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3475"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/longzhuplatform.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
How Cross-page AI aggregation can introduce new liability vectors.\u201d<\/p> <\/blockquote>
Google\u2019s John Mueller Explains What\u2019s Going On<\/h2>
Takeaways<\/h2>