GEO Statistics France 2026 — The LLM, ChatGPT, Perplexity & AI Overviews data hub
Verified 2026 statistics on GEO (Generative Engine Optimization): 800M ChatGPT users, 14% of Google queries with AI Overviews, -34.5% organic CTR, LLM citations, zero-click, GEO methods. Tier-1 sources: Stanford HAI, Similarweb, Semrush, Ahrefs, SparkToro, OpenAI, Google, Ifop, Médiamétrie.
A dataset ready to cite on GEO (Generative Engine Optimization) France
48 verified stats (17% France), 34 unique source URLs, CC BY 4.0 reuse — quote freely, just credit Hi-Commerce.
📊 Data at a glance
All the key indicators in this hub, condensed into a single dashboard.
ChatGPT leads (800M weekly) but Gemini accelerates (+650% YoY). Perplexity and Claude stay niche but highly monetized. Source : OpenAI DevDay 2025 + Google I/O 2025 + Similarweb.
Healthcare leads (47%), retail trails (8%) after Google shopping pullback. GEO risk follows the vertical. Source : Semrush — AI Overviews Tracker.
Three US players capture most of the value — Mistral (FR) remains the only European strategic asset at €6B. Source : WSJ, Anthropic, Bloomberg, Les Echos.
Baisse de CTR organique de 34,5 % quand AIO présent
Quand un AI Overview est affiché, le CTR organique #1 chute de 34,5 % en moyenne
Zero-click — 58,5 % des recherches Google US se terminent sans clic
58,5 % des recherches Google US se terminent sans clic vers un site externe (vs 50 % en 2022)
AI engine usage — ChatGPT, Gemini, Perplexity, Copilot, Claude
ChatGPT reached 800M weekly users in September 2025 (+60% in 6 months). Gemini follows with 350M/month (+650% YoY), Microsoft Copilot ~100M, Perplexity 30M, Claude 30M. In France, 18% of adults have already used ChatGPT in 2025 (Ifop). Google remains 18-20× larger in volume.
Caveat — Estimation Similarweb basée sur panel clickstream — la mesure trafic LLM reste à un standard pré-Comscore.
Caveat — Microsoft consolide Copilot Consumer + Copilot for M365 dans une même métrique — extraire la part Consumer reste estimatif.
Caveat — Métrique web uniquement, n'inclut pas l'usage API enterprise (~50 % du revenu Anthropic).
Caveat — Sondage en ligne, échantillon 1 000+ adultes 18+. La barre 'utilisateur' inclut 'au moins une fois'.
Caveat — Comparaison visites Web/mois — ne mesure pas les requêtes API ni les sessions mobile-app.
Sources (7)
- OpenAI — DevDay 2025 keynote (Sam Altman) 2025-10-06
- Similarweb — AI Chatbot Traffic Report 2025-11-12
- Google I/O 2025 keynote — Sundar Pichai 2025-05-20
- Microsoft — earnings call FY25 Q3 2025-04-30
- Similarweb — Top AI Chatbots ranking 2025-11-12
- Ifop — Les Français et l'intelligence artificielle (vague 2025) 2025-06-15
- Similarweb — Top Websites Worldwide 2025-11-30
Takeaway — Consumer LLMs went from niche to mainstream in 18 months. But the LLM/Google ratio remains 1:18 in worldwide volume — disruption is not replacement, it is the addition of a critical new channel.
AI Overviews — trigger rate, exposed industries, CTR impact
AI Overviews appear in ~14% of US Google queries in Q3 2025 (vs 7% early 2025). Healthcare is the most exposed vertical (47% coverage), retail the least (8% after Google pullback). When an AIO is shown, organic CTR drops by 34.5% on average. AIO rollout in France since March 2025.
Caveat — Donnée US sur un corpus de 200K mots-clés — taux variable selon vertical (santé 47 %, retail 8 %).
Caveat — Données YMYL (Your Money Your Life) — exposition maximale aux AI Overviews et donc à la baisse de CTR.
Caveat — Échantillon 300K mots-clés — l'effet est plus violent sur les requêtes informationnelles longues.
Caveat — Pas de baromètre Sistrix FR public à ce stade — couverture 8-12 % triangulée à partir de remontées agences SEO françaises.
Method — Triangulation : annonce Google + tests propriétaires Hi-Commerce sur 5 000 requêtes FR (mai 2026) + retours Sistrix DE (proxy DACH).
Caveat — Pull-back Google sur queries shopping suite à plaintes annonceurs — coverage variable, à suivre Q1 2026.
Sources (5)
- Semrush — AI Overviews Tracker (octobre 2025) 2025-10-10
- Ahrefs — Study: AI Overviews CTR impact (2025) 2025-03-04
- Google I/O 2025 — Search announcements 2025-05-20
- Google Search Liaison (Twitter/X officiel) 2025-03-25
- BrightEdge — Generative Parser Research (Q4 2025) 2025-12-15
Takeaway — AIO is not a single format but varies by industry. Retail risk fades; healthcare and finance face massive exposure. Position #1 loses a third of its traffic as soon as Google generates an AI summary.
LLM-referred traffic — volume, conversion, cited sources
LLM-referred traffic exploded by +1,200% YoY in 2025 across US e-commerce publishers. LLM visitors convert +9% better than Google visitors. Perplexity sends 4× more clicks than ChatGPT for the same query volume. ChatGPT cites 5.4 sources per answer on average. Reddit, Wikipedia and YouTube capture ~33% of ChatGPT outbound traffic.
Caveat — Adobe Digital Insights mesure US retail uniquement — la base de départ étant très basse, le +1200 % reste fragile en valeur absolue.
Caveat — Adobe panel US retail only — ratio à pondérer en BtoC SaaS et BtoB où l'effet est encore plus marqué selon Profound.
Caveat — Données plateforme Profound sur un panel de 50K prompts — biais B2B/tech.
Caveat — SparkToro panel clickstream Datos — ratio dépend du type de requête (Perplexity privilégie citations linkables).
Caveat — Ratio macro — petit en valeur absolue, mais croissance 5x plus rapide que tout autre canal. À 5 ans le scénario plausible est 5-10 %.
Caveat — Effet Perplexity Pages + partenariats publishers — biais d'inventaire.
Method — Croisement ratio citation Perplexity (Profound) vs SERP Google features (Sistrix). Échantillon 8 000 prompts B2B.
Sources (4)
- Adobe Digital Insights — AI traffic to retailers (2025) 2025-04-02
- Profound — LLM citation patterns (2025) 2025-09-10
- SparkToro — Rand Fishkin LLM referral analysis 2025-08-12
- Similarweb — AI Traffic Share report 2025-11-12
Takeaway — LLM traffic stays small in absolute terms (~0.7% of worldwide web) but grows 5× faster than any other channel. 5-year plausible scenario: 5-10% of web traffic referred by LLMs.
Zero-click & SERP disruption — the silent erosion
58.5% of US Google searches end without an external click (SparkToro 2024). 59.7% in Europe. On US mobile, the ratio rises to 77%. Top-of-Funnel sites observe a 25-35% traffic decline in 2025 vs 2024 in exposed verticals (healthcare, advisory, finance).
Caveat — Échantillon 100 sites éditoriaux US/UK — verticales très exposées : santé, finance, conseil. E-commerce shopping moins touché (AIO retiré sur shopping).
Method — Moyenne pondérée 25-35 % issue de l'analyse Authoritas sur 100 publishers UK/US (juin 2025) + croisement avec données SimilarWeb sur catégorie 'News & Media'.
Sources (2)
- SparkToro — Zero-Click Search Study (Rand Fishkin) 2024-07-25
- Authoritas — UK SERP & AIO impact (2025) 2025-06-20
Takeaway — Zero-click is not new — it doubled from 2020 to 2024 driven by featured snippets, knowledge panels and other Google formats. AIO accelerates and formalizes a 5-year trend.
Brand citations in LLMs — who dominates the answers
75% of B2B prompts on ChatGPT, Perplexity and Claude mention a brand in the answer. The top 100 B2B brands capture ~60% of LLM citations — higher concentration than classic Google SEO. Wikipedia appears in 47% of LLM answers, Reddit in 12% of ChatGPT answers.
Caveat — Profound panel 50K prompts B2B/B2C — la moyenne masque une longue traîne (certaines réponses 0 source, d'autres 15+).
Caveat — Profound panel prompts B2B SaaS — taux plus bas sur B2C (~52 %).
Caveat — Effet d'inertie des LLM (training data) qui favorise les marques pré-2024 — opportunité pour les challengers à se faire indexer.
Method — Calcul Profound : sur 100 000 prompts SaaS, % des réponses qui citent une marque du top 100 G2 Crowd. Échantillon non représentatif des verticales niche.
Caveat — Panel Datos clickstream — la mesure de Reddit reflète aussi l'accord OpenAI×Reddit (mai 2024) qui priorise le forum.
Sources (3)
- Profound — LLM citation patterns benchmark 2025 2025-09-10
- SparkToro / Datos — Top cited domains in ChatGPT Search 2025-08-12
- Stanford HAI — AI Index Report 2025 2025-04-09
Takeaway — LLMs amplify the 'rich get richer' effect. Pre-2024 brands dominate by training data inertia. For challengers: Wikidata, Reddit AMA, Wikipedia and cited studies are more effective than classic SEO.
GEO methods — schema, citation-ready, llms.txt, Wikidata sameAs
The foundational academic study (Princeton & Georgia Tech, 2024) shows +40% LLM citations for 'citation-ready' pages (stats + sources + citations). Schema.org Organization + Person + sameAs to Wikidata correlates with +27% citations (Amsive). FAQPage schema gives +18% Bing Copilot visibility. llms.txt adoption stays at 3% of Tranco 1M.
Caveat — Étude académique — l'étude originale 'GEO: Generative Engine Optimization' a posé le terme et la méthode de mesure.
Caveat — Étude agence sur 200 sites clients — la corrélation n'est pas une causalité prouvée. À répliquer.
Method — Amsive a comparé visibilité Perplexity avant/après ajout Schema.org sur 200 pages — moyenne pondérée par autorité de domaine.
Caveat — Initiative jamais formellement adoptée par OpenAI, Anthropic ou Google — utilité marketing supérieure à l'utilité technique réelle.
Caveat — Bing communique sur le bénéfice — pas de mesure indépendante publique.
Method — Annonce Bing Webmaster Tools (juillet 2025) — uplift moyen mesuré sur 500 sites partenaires Microsoft Advertising Network.
Caveat — Leak vérifié par Google. Le module 'KnowledgeGraphReferences' montre l'usage explicite de Wikidata comme source.
Sources (5)
- Princeton University & Georgia Tech — GEO research paper 2024-08-28
- Amsive — GEO Best Practices study (2025) 2025-05-15
- llmstxt.org — Adoption tracker 2026-05-01
- Microsoft Bing — Webmaster guidelines for Copilot 2025-07-10
- Google ContentWarehouse leak (mai 2024) — analyse iPullRank 2024-05-28
Takeaway — GEO is not a separate discipline from SEO — it is the addition of an 'structured entities + citations + Schema' layer. Sites that already mastered E-E-A-T and structured data take the lead.
Exposure by industry — affiliation, travel, retail, B2B SaaS
US affiliation: Mavely cites 80% revenue at risk. US travel: -25% Google traffic YoY 2025. Retail e-commerce: resilient as AIO pulled back on shopping queries (8% coverage). B2B SaaS: 75% of queries generate an LLM answer with brand citations — the most GEO-exposed vertical.
Caveat — Cite émanant d'un acteur affilié exposé — biais d'auto-représentation. Référence pour le scénario worst case.
Method — Interview presse — pas de méthodologie publique. Ratio 80 % à interpréter comme estimation de menace, non comme baisse mesurée.
Caveat — Panel Skift Research — vague pour la France où le rollout AIO est plus jeune. À vérifier sur données SimilarWeb FR.
Caveat — Données US — la coverage shopping FR est plus basse (~4 %) selon nos tests propriétaires. AIO shopping pullback de Google fin 2025.
Caveat — Profound est un outil GEO B2B — biais d'inventaire vers les use cases SaaS.
Sources (4)
- The Verge — interview CEO Mavely (mai 2025) 2025-05-15
- Skift Research — AI impact on travel search (2025) 2025-10-08
- Semrush — AIO Coverage by Industry (Q4 2025) 2025-10-10
- Profound — B2B SaaS LLM Visibility Index 2025-10-15
Takeaway — GEO exposure follows a simple rule: the more informational and 'Q&A' a vertical is, the more exposed it gets. Transactional e-commerce is paradoxically the least affected today.
AI investments — OpenAI, Anthropic, Perplexity, Mistral
$33.9B private global GenAI investment in 2024 (Stanford HAI). OpenAI valued $500B in Oct 2025 (×3 in 1 year). Anthropic $183B (Series F Sep 2025). Perplexity $18B. Mistral AI (French champion) €6B since June 2025 — France keeps a strategic asset.
Caveat — Valorisation tender offer (rachat de parts employés) — pas une levée fresh money traditionnelle.
Sources (5)
- Stanford HAI — AI Index Report 2025 (Chapter 4) 2025-04-09
- Wall Street Journal — OpenAI tender offer (oct. 2025) 2025-10-02
- Anthropic — Series F announcement 2025-09-02
- Bloomberg — Perplexity Series E 2025-08-04
- Les Echos — Mistral AI levée Series B 2025-06-12
Takeaway — Private capital is pouring in at unprecedented pace. Real risk: extreme LLM market concentration (3-4 dominant players within 2 years). For France, Mistral is the unique strategic asset to protect.
French context — adoption, players, Hi-Commerce barometer
In France, ~18M monthly ChatGPT users by end-2025 (Médiamétrie). Le Chat by Mistral is the 5th most-used chatbot. Free Mobile integrates Le Chat into its plan since May 2025. French editorial sites lost ~12% Google traffic YoY 2025 (Hi-Commerce panel). 41% of French marketers use a GEO tracking tool.
Caveat — Estimation basée sur les vagues Médiamétrie + ratio FR/Global Similarweb. La pénétration ChatGPT en France reste 30 % en dessous du benchmark US.
Method — Calcul : 800 M utilisateurs hebdo Global * 0,022 (ratio FR vs Global pour produits SaaS LLM) = ~18 M mensuels actifs FR. Hypothèse conservatrice.
Caveat — Source Médiamétrie diffusion partielle — chiffres publics agrégés. Mistral progresse rapidement grâce au partenariat Free Mobile et Microsoft.
Caveat — Panel propriétaire 30 sites éditoriaux FR — non représentatif statistique national. À considérer comme signal d'alerte.
Method — Échantillon Hi-Commerce de 30 sites éditoriaux FR (presse + blog), comparaison GA4 2025 vs 2024 sur sessions Organic Search. Perte médiane -12 %, écart-type 18 points.
Caveat — Panel propriétaire 240 marketeurs FR, biais SEO/digital. À pondérer pour le grand public marketing.
Method — Sondage Hi-Commerce avril 2026, 240 répondants (CMO, head of SEO, growth) en France. Outils cités : Profound, Peec, AthenaHQ, Otterly.
Sources (4)
Takeaway — France is in the GenAI consumer adoption leader pack, yet much less AIO-exposed than the US (-12% vs -25%). The window to structure a French GEO strategy is closing by end-2026 — the advance is no longer 18 months but 6.
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What is GEO (Generative Engine Optimization) in 2026?
What is the difference between SEO and GEO?
How many ChatGPT users worldwide in 2026?
How many ChatGPT users in France?
What percentage of Google queries trigger AI Overviews?
What is the impact of AI Overviews on organic CTR?
How to get cited by ChatGPT and Perplexity?
What is the zero-click percentage on Google in 2026?
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