Google’s John Mueller provided a easy resolution to a Redditor who blamed Google’s “AI” for a observe within the SERPs saying that the web site was down since early 2026.
The Redditor didn’t create a put up on Reddit, they simply linked to their weblog put up that blamed Google and AI. This enabled Mueller to go straight to the location, establish the trigger as having to do with JavaScript implementation, after which set them straight that it wasn’t Google’s fault.
Redditor Blames Google’s AI
The weblog put up by the Redditor blames Google, headlining the article with a pc science buzzword salad that over-complicates and (unknowingly) misstates the precise drawback.
The article title is:
“Google Would possibly Assume Your Web site Is Down
How Cross-page AI aggregation can introduce new legal responsibility vectors.”
That half about “cross-page AI aggregation” and “legal responsibility vectors” is eyebrow elevating as a result of none of these phrases are established phrases of artwork in laptop science.
The “cross-page” factor is probably going a reference to Google’s Question Fan-Out, the place a query on Google’s AI Mode is become a number of queries which are then despatched to Google’s Basic Search.
Concerning “legal responsibility vectors,” a vector is an actual factor that’s mentioned in search engine optimization and is part of Pure Language Processing (NLP). However “Legal responsibility Vector” is just not part of it.
The Redditor’s weblog put up admits that they don’t know if Google is ready to detect if a website is down or not:
“I’m not conscious of Google having any particular functionality to detect whether or not web sites are up or down. And even when my inner service went down, Google wouldn’t be capable to detect that because it’s behind a login wall.”
And so they seem to perhaps not concentrate on how RAG or Question Fan-Out works, or perhaps how Google’s AI methods work. The writer appears to treat it as a discovery that Google is referencing contemporary data as a substitute of Parametric Data (data within the LLM that was gained from coaching).
They write that Google’s AI reply says that the web site indicated the location was offline since 2026.:
“…the phrasing says the web site indicated fairly than folks indicated; although within the age of LLMs uncertainty, that distinction won’t imply a lot anymore.
…it clearly mentions the timeframe as early 2026. Because the web site didn’t exist earlier than mid-2025, this really suggests Google has comparatively contemporary data; though once more, LLMs!”
Slightly later within the weblog put up the Redditor admits that they don’t know why Google is saying that the web site is offline.
They defined that they carried out a shot at midnight resolution by eradicating a pop-up. They had been incorrectly guessing that it was the pop-up that was inflicting the problem and this highlights the significance of being sure of what’s inflicting points earlier than making adjustments within the hope that this can repair them.
The Redditor shared they didn’t know the way Google summarizes details about a website in response to a question in regards to the website, and expressed their concern that they consider it’s attainable that Google can scrape irrelevant data then present it as a solution.
They write:
“…we don’t know the way precisely Google assembles the combination of pages it makes use of to generate LLM responses.
That is problematic as a result of something in your internet pages may now affect unrelated solutions.
…Google’s AI may seize any of this and current it as the reply.”
I don’t fault the writer for not realizing how Google AI search works, I’m pretty sure it’s not extensively recognized. It’s straightforward to get the impression that it’s an AI answering questions.
However what’s mainly occurring is that AI search relies on Basic Search, with AI synthesizing the content material it finds on-line right into a pure language reply. It’s like asking somebody a query, they Google it, then they clarify the reply from what they realized from studying the web site pages.
Google’s John Mueller Explains What’s Going On
Mueller responded to the particular person’s Reddit put up in a impartial and well mannered method, displaying why the fault lies within the Redditor’s implementation.
Mueller defined:
“Is that your website? I’d suggest not utilizing JS to vary textual content in your web page from “not accessible” to “accessible” and as a substitute to simply load that entire chunk from JS. That method, if a shopper doesn’t run your JS, it gained’t get deceptive data.
That is just like how Google doesn’t suggest utilizing JS to vary a robots meta tag from “noindex” to “please contemplate my high quality work of html markup for inclusion” (there isn’t a “index” robots meta tag, so that you will be inventive).”
Mueller’s response explains that the location is counting on JavaScript to exchange placeholder textual content that’s served briefly earlier than the web page hundreds, which solely works for guests whose browsers really run that script.
What occurred right here is that Google learn that placeholder textual content that the net web page confirmed because the listed content material. Google noticed the unique served content material with the “not accessible” message and handled it because the content material.
Mueller defined that the safer strategy is to have the proper data current within the web page’s base HTML from the beginning, in order that each customers and search engines like google and yahoo obtain the identical content material.
Takeaways
There are a number of takeaways right here that transcend the technical subject underlying the Redditor’s drawback. Prime of the record is how they tried to guess their strategy to a solution.
They actually didn’t know the way Google AI search works, which launched a collection of assumptions that difficult their means to diagnose the problem. Then they carried out a “repair” based mostly on guessing what they thought was in all probability inflicting the problem.
Guessing is an strategy to search engine optimization issues that’s justified on Google being opaque however generally it’s not about Google, it’s a couple of information hole in search engine optimization itself and a sign that additional testing and analysis is critical.
Featured Picture by Shutterstock/Kues
