Ranking and being cited have split apart

It used to be that if you ranked on page one, you were the raw material an AI Overview drew from. That link is weakening fast. In Ahrefs' Brand Radar analysis of 863,000 search results and four million AI Overview URLs, about 38% of the pages cited in AI Overviews also ranked in Google's top 10 for the same query. In Ahrefs' July 2025 study the same measure was roughly 76%. Ahrefs notes it also improved how it detects citations between the two studies, so part of that drop reflects better measurement, but the direction is clear. In other words, Google is now selecting most of its cited sources from somewhere other than the front page of your exact search.

Where the pages Google's AI Overviews cite rank in regular results

  • Top 10 37.9%
  • Positions 11 to 100 31.2%
  • Below the top 100 31.0%
Source - Ahrefs, 863,000 keywords and 4 million AI Overview URLs, March 2026

Part of what changed is the engine underneath. As of November 2025, Google routes the hardest AI Overview and AI Mode queries to its frontier Gemini 3 model through automatic model selection, and the system appears to lean harder on the mechanism below.

What query fan-out is

Google has confirmed that when a search triggers AI, its system performs a "query fan-out." Instead of answering your exact words, it expands the query into a set of related sub-questions, runs searches for those, and assembles the answer from what it finds. The pages that recur across those sub-query results are the ones most likely to be cited.

That reframes the whole task. You are no longer optimizing a page to rank for one keyword; you are trying to be a source that shows up across the cluster of questions a topic implies - the definitions, the comparisons, the how-tos, the edge cases a buyer would ask on the way to a decision. A page that answers only the headline query, and none of the questions around it, can rank well and still never surface in the fanned-out set the Overview is built from.

What this means for your pages

The move is from thin and keyword-shaped to thorough and question-shaped. Cover the topic the way the fan-out does: answer the main question cleanly up top, then resolve the sub-questions that surround it on the same page or across a tight cluster, each in a passage an engine can lift on its own. That is the craft of answer engine optimization, and it is exactly what makes a page eligible across many sub-queries rather than one.

One specific lever is worth calling out, because it surprises people. Ahrefs reports that YouTube is the most-cited domain in AI Overviews, and that mentions on YouTube are among the strongest factors correlating with AI Overview visibility in their research. A video can be pulled into an Overview even when your own page is not ranking for the query, so for many businesses video is an underused way to enter the cited set. And none of this happens if the crawler cannot reach you in the first place: AI Overviews are built on Google's regular index, so Googlebot has to be allowed - see how to allow AI crawlers (and note that the Google-Extended token only affects training, not Overviews).

And it changes constantly

Even once you are cited, do not expect it to hold still. Ahrefs found (November 2025) that AI Overview wording changes about every two days, and that roughly 45 percent of the cited URLs differ from one check to the next. Appearing in one Overview today is not a ranking you have won. Missing one tomorrow means nothing either - each is a single draw from a moving target. The only honest read is your share of citations across many checks over time, which is the subject of measuring AI citations (and of why AI citations keep changing), and the practical how-to is in how to check if AI search mentions your brand. The deeper reason this is a footprint problem and not a single-page fix is covered in AI search visibility.

How Web Cited helps

If you rank but are not cited, guessing which sub-queries you are missing is slow. The free 10-minute AI search audit gives you a structured first read, and the Free Snapshot checks what the engines say about your category today. Citation Monitor asks your buyer questions every week across six AI engines, including Gemini, the model family behind Google's AI features, so you can see where you're named, where competitors are named instead, and how that changes as you broaden your coverage. It doesn't read the Overview itself, so check your most important searches in Google by hand too.

Try the Free Snapshot   Start Monitoring

By the Web Cited Editorial Research Team. Last updated 29 September 2026.