Short answer. Google AI Mode and AI Overviews are two retrieval systems, not one surface measured twice. Across 540,000 query pairs analysed by Ahrefs and compiled by AEO Vision, they reached similar conclusions 86% of the time and cited the same URLs only 13.7% of the time — while drawing on roughly 88% of the same domains. They largely agree about the answer and disagree about who gets credit for it, which makes this a page-level citation problem rather than a domain-level authority one.
Most reporting treats "Google AI" as a single thing, and most tooling collapses the two surfaces into one score. The data does not support either habit. This piece sets out what separates the surfaces, what each one is for, how big AI Mode actually is, and what to do differently for each.
The finding that matters
Read the two overlap figures together, because the gap between them is the whole story.
Domain overlap = Shared cited domains ÷ Total cited domains ≈ 88%
URL overlap = Shared cited URLs ÷ Total cited URLs = 13.7%
The two surfaces largely draw from the same set of publishers and then pick almost entirely different pages from within them. Same neighbourhood, different houses. Winning the domain is not winning the citation.
That has an immediate practical consequence. A brand can be well represented in AI Overviews and effectively absent from AI Mode while its site-level authority looks identical in both — and no amount of domain-level work will explain the difference, because domain-level work is the part they already agree on.
The AEO Vision compilation, drawing on Ahrefs, Search Atlas, ZipTie and Semrush, adds two more figures worth holding onto: 97% of AI Mode responses include at least one citation, and AI Mode references around 7 unique domains per query.
What each surface is
| AI Overviews | AI Mode | |
|---|---|---|
| Where it appears | Summary block above the ordinary results page | A separate chat-style surface |
| Interaction model | One shot, alongside blue links | Conversational, multi-turn, follow-ups |
| Citations per response | Fewer, presented as links inside the block | ~7 unique domains; 97% of responses carry at least one |
| Typical query length | Ordinary search queries, ~4.0 words | ~7.22 words on average |
| Click behaviour | Pew found users clicked a traditional result on 8% of searches showing an AI summary, against 15% where none appeared | 92–94% of sessions produce no external click, against 34–43% for traditional Google Search |
| Day-over-day source churn | — | 75.9%, with 2.6% of sources cited on all seven consecutive days |
| What it competes with | The organic results below it | Other assistants |
Two numbers in that table deserve emphasis, both from Semrush via the AEO Vision compilation. The 7.22-word average query means AI Mode receives fully formed questions rather than keyword fragments, which changes what a page has to match. And 92–94% zero-click means AI Mode is, for practical purposes, not a traffic source at all. It is a description surface.
The churn figures come from GetMentions' seven-day study of 530,875 citations across 2,398 queries in June 2026, which measured AI Mode at 75.9% day-over-day source churn — steadier than ChatGPT's 79.2% and Gemini's 88.3%, far less steady than Perplexity's 44.4%. AI Mode is not a place to hold a position.
How big is AI Mode?
Google stated at Google I/O 2026, as reported by Search Engine Roundtable and compiled by AEO Vision, that AI Mode surpassed roughly one billion monthly active users about a year after launch, with queries reported as more than doubling every quarter since launch. It is available in nearly 200 countries across around 100 languages, and more than one in six US AI Mode searches are voice or image-based.
Set against that, Semrush's traffic figures put AI Mode at 38.2 million visits in December 2025, up from 1,600 in January of that year — roughly 0.01% of total web traffic.
Both facts belong in the same sentence. A surface with that reach and effectively no outbound clicks is the clearest example of the shift the whole category is arguing about: the value is not the visit, it is being the source the answer was built from.
What this does to measurement
This is where the 13.7% figure stops being trivia and starts costing money.
If a tool reports one "Google AI visibility" number, it is averaging two surfaces that share 13.7% of their cited URLs. The average is not a summary of the two; it is a number that describes neither. Worse, the two can move in opposite directions — a page rewritten to answer a fully formed 7.22-word question can gain on AI Mode while losing nothing and gaining nothing on AI Overviews — and the blended figure will show a flat line across a real change.
Three rules follow:
- Report the two surfaces separately, always. Same question set, two runs, two rates, no average.
- Report at URL level, not domain level. Domain-level reporting will show ~88% agreement between the surfaces and hide the entire problem.
- Report a rate, not a position. At 75.9% daily churn on AI Mode, a single check is a sample. The reportable outcome is the share of runs in which your URL was cited, across repeated runs of a fixed question set.
Everything above applies to the other engines too, but Google is where the mistake is most expensive, because it is the surface most likely to be handed to an existing rank-tracking tool that was never built to make the distinction.
What to do differently for each
Write for question-shaped queries on AI Mode. A 7.22-word average query is a sentence. Headings phrased as that question, with a direct answer in the first sentence beneath them, match it directly.
Expect the follow-up. AI Mode is conversational, so the second and third turns narrow into specifics: cost, alternatives, limits, implementation. Pages that only handle the opening question drop out of the conversation exactly where the buying decision happens.
Do not model AI Mode as traffic. At 92–94% zero-click, a business case built on sessions will not survive contact with analytics. Model it as description, and measure it as citation share.
Work at page level, not domain level. The 88% domain overlap against 13.7% URL overlap says domain strength gets you considered on both surfaces and decides neither.
Cover the fan-out neighbourhood for both. Both surfaces decompose queries, and Surfer SEO's December 2025 study found pages ranking for the main query plus at least one fan-out query were 161% more likely to be cited in AI Overviews — the mechanism is set out in how AI Overviews picks sources.
Check that both can fetch you at all. Both are built on the ordinary Googlebot crawl, which means the Gemini training opt-out does not remove you from either, and blocking Googlebot removes you from both along with Search. See AI crawlers and AI search visibility.
The 86% conclusion agreement is quietly reassuring in all this. The two surfaces mostly tell buyers the same thing; the disagreement is about attribution. That makes this a citation problem rather than a positioning problem — a distinction worth making before anyone proposes rewriting the product story.
Limits worth stating
- These figures come from several trackers compiled together, not one controlled study. The 13.7% URL overlap is from a large Ahrefs sample; the click and query-length figures are Semrush's. They are not the same panel.
- AI Mode is changing fast. A surface whose queries reportedly double quarterly is not a stable measurement target, and any of these figures could shift within a quarter.
- Neither surface offers submission or placement. Nothing here is a route to guarantee a citation on either.
- Non-Google engines behave differently again, and share little with Google or with each other — ChatGPT retrieves from its own index entirely.
How Lifewood approaches this
Lifewood measures AI Mode and AI Overviews as two separate engines against the same fixed question set, reported as two rates at URL level rather than one blended Google score, because a 13.7% URL overlap makes the average uninterpretable. Runs are repeated rather than sampled once, and the raw answers are retained, since at 75.9% daily churn the number tells you something moved and only the text tells you why.
Content work is scoped page by page rather than domain by domain, and for AI Mode specifically it is scoped conversationally — the follow-up questions about cost, limits and alternatives are treated as first-class sections rather than as an FAQ afterthought. Across markets that means writing in-market, which is where 50+ languages and 40+ delivery centres across 30+ countries apply. See AEO services, GEO services and how GEO, AEO and SEO divide.
Sources and further reading
- AEO Vision, Google AI Mode GEO statistics 2026, compiling Ahrefs (540,000 query pairs), Search Atlas, ZipTie, Semrush and Google.
- GetMentions, AI citation volatility: a 530,875-citation study, June 2026.
- Surfer SEO, AI Overview fan-out rankings boost citation odds, December 2025, via Search Engine Land.
- Pew Research Center, click behaviour study of 68,000 queries, via Search Engine Land.