Practical guide · AI search
Google AI Mode: what it is and how to get cited
Google AI Mode is a conversational search interface that replaces the results page with an answer written by Gemini, linked to its sources, and open to follow-up questions inside the same session.
Since July 2026, part of French search happens in an interface that no longer shows ten blue links. The instinctive question is how to rank in it. That is the wrong question: in AI Mode the citation is the only visibility available, and it does not follow the rules of organic ranking.
1. AI Mode, in one answer
AI Mode sits in a tab next to classic search. Users ask a full question, with several criteria at once, and receive written prose instead of a list of links. They can then refine, compare and follow up without starting a new query.
The substantive difference with classic search is not the layout, it is the number of searches actually executed. One question asked in AI Mode triggers several in the background, on angles the user never expressed. That single point is what makes the editorial work different.
2. Availability in France
Google France announced on 22 July 2026 the launch of AI Overviews and AI Mode in Search on the French market, after a worldwide rollout that started in 2024. The rollout is described as progressive: availability can vary by account, device and query type.
3. AI Mode, AI Overviews, classic search
The three surfaces coexist on the same engine and are routinely confused. They produce neither the same display nor the same source selection.
| Surface | What the user sees | What you can win |
|---|---|---|
| Classic search | A list of organic and paid links. | A click, measurable in Search Console. |
| AI Overviews | A generated summary above the results, which remain reachable below. | A citation in the summary, plus your organic ranking. |
| AI Mode | A conversational answer filling the page, with follow-up questions. | A citation, and nothing else: there is no list underneath. |
The split between the two AI surfaces is not theoretical. An Ahrefs analysis of 730,000 response pairs, relayed by Cintra, measures around 13.7% overlap between the sources cited in AI Overviews and those cited in AI Mode. Being picked up in an Overview therefore predicts almost nothing about your presence in AI Mode. We covered the first surface in detail in our guide to AI Overviews.
4. Query fan-out, the core mechanism
Query fan-out is the technique by which the engine decomposes a question into several searches run in parallel, then assembles the results into a single answer. Robby Stein, VP of Product for Search at Google, described it publicly: for a question about things to do in Nashville with a group, the system separately searches restaurants, bars and activities with kids, none of which the user typed.
What this changes for a page
A page optimised for one head query answers a single node of that tree. It is therefore eligible for a fraction of the searches actually executed. A page that explicitly handles adjacent sub-questions stays in contention across several nodes, which mechanically raises its odds of being retained at synthesis time.
- Cover the question field: list the five to ten questions a user might ask around your topic, and give each one an explicit section heading.
- Answer before explaining: the first sentence of a section must carry the answer, not the context. Retrieval happens at passage level, not page level.
- Name the entities: products, versions, dates, amounts, places. A passage dense in identified entities is easier to match to a precise sub-query.
- Keep one page per intent: covering more sub-questions does not mean multiplying near-duplicate pages that compete with each other.
5. How AI Mode picks its sources
Google is explicit on one point: its documentation on AI features states there are no additional requirements to appear, and that a page simply needs to be indexed and eligible to show with a snippet. There is no dedicated tag, no magic structured data type, no file to drop at the root.
Independent measurements, however, show the selection does not follow classic ranking. A Moz analysis of roughly 40,000 queries in February 2026 concludes that 88% of pages cited by AI Mode did not appear in the top ten organic results for the same query. That figure does not mean SEO is useless. It means rank on the visible query is a poor predictor of citation.
The operational consequence is direct: a rank tracker will not tell you whether you are cited. You have to sample the answers themselves, which we detail in our method for measuring AI visibility.
6. What nobody can measure yet
- The real volume of AI Mode: Google publishes no split between classic search, AI Overviews and AI Mode by market. Any estimate of French audience share is extrapolation today.
- The generated sub-queries: the search tree executed in the background is not displayed. You infer it from the answers, you do not read it.
- Segmentation in Search Console: data from AI surfaces remains aggregated with classic results, with no dedicated filter isolating AI Mode.
These three blind spots impose a rule of caution: state your goals as observed citations on a question set you control, never as expected traffic share from a surface whose volume nobody publishes.
7. The action plan
- Check access first: a blocked or unindexed page is out of the game before the editorial question even arises. The technical prerequisite is covered in our robots.txt and AI crawlers guide.
- Map your sub-questions: for your five strategic pages, write down the adjacent questions left uncovered, and add them as sections rather than as new pages.
- Rewrite your opening lines: every section starts with a self-contained answer, understandable out of context, with no back-referencing pronouns.
- Run a dated manual sample: twenty questions from your market asked in AI Mode, recording your presence and the domains cited. That is your baseline.
- Work the third-party sources: the domains that recur in those answers are your off-site roadmap, often more profitable than one more page.
FAQ
Sources
Google France, "Lancement des Aperçus IA et du Mode IA dans la Recherche Google en France", 22 July 2026. Official announcement of the French launch. Read the page.
Blog du Modérateur, "Google déploie AI Overviews et AI Mode en France", 22 July 2026. Confirmation of the date and of the progressive rollout. Read the page.
Search Engine Journal, "Query Fan-Out Technique in AI Mode", 30 July 2025. Robby Stein's statements on how fan-out works. Read the page.
Cintra, "Google AI Mode Optimization", 17 April 2026. Secondary source relaying the Moz analysis of 40,000 queries and the Ahrefs analysis of 730,000 response pairs. Read the page.
Google Search Central, documentation on AI features in Search. No additional technical requirement, eligibility tied to indexing and snippet display. Read the page.