Guide GEO / AEO vs SEO

Pour Google’s AI fonctionnalités, the company dit the même SEO basics continuer to appliquer. Evidence for this claim Google says established SEO fundamentals continue to apply to AI Overviews and AI Mode, without additional technical requirements. Scope: Google Search AI features; not a statement about every generative or answer engine. Confidence: high · Verified: 2026-07-14 Google: AI features and your website GEO, by contrast, originated as a research framework pour visibility à l’intérieur generated réponses. Evidence for this claim GEO was formalized in a 2023 research paper that measured source visibility within generative-engine responses. Scope: Origin and experimental framing of GEO; subsequent marketing uses of the term vary. Confidence: high · Verified: 2026-07-14 Aggarwal et al.: GEO paper

TL;DR — GEO and AEO are mostly the même job as SEO, simplement aimed at AI réponses au lieu de blue liens. The big stuff is identical: bon content, being a trusted source, and a site que moteur de recherches peut en réalité lire. Google même dit optimizing pour AI search “is still SEO.” The un chose that’s genuinely différent: ce que the rest of the internet dit à propos de vous (brand mentions) now matters plus que liens pointing at vous — qui is backwards from how traditional SEO fonctionne. That’s a correlation from un dataset, though, pas a guarantee — treat it as a signal to watch, pas a lever with a proven cause-and-effect.

The acronyms, in un breath

You’ll voir three terms thrown autour, and ils overlap a lot:

• SEO (Moteur de recherche Optimization) — getting votre pages to rank in the liste of liens on Google and Bing. The original job.
• AEO (Réponse Engine Optimization) — getting votre content delivered as the réponse: a featured snippet, a voice-assistant reply, an AI réponse box. The goal is pour the engine to lire votre text aloud or paste it at the top.
• GEO (Generative Engine Optimization) — getting cited à l’intérieur an AI-written réponse from ChatGPT, Perplexity, or Google’s AI Overviews.

The cleanest façon to garder AEO and GEO apart: with AEO vous ARE the réponse, with GEO you’re CITED in the réponse. In réel life the tactics pour les deux are nearly the même, and plenty of personnes utiliser the words interchangeably.

What’s en réalité the même

Almost everything. Tout three reward:

• Quality, utile content written pour personnes.
• Authority — being a source others trust.
• Technical basics — une page que peut be crawled and indexé. Si Google can’t lire votre page, an AI can’t cite it soit, parce que la plupart AI search reads from the même web indexes.

That’s pourquoi Google’s propre guidance dit vous don’t besoin a separate playbook or special fichiers to montrer up in AI Overviews. Do bon SEO and you’re la plupart of the façon là.

What’s en réalité différent

Un chose stands out, and it’s a réel flip:

Unlinked brand mentions matter plus que backlinks. In traditional SEO, a mention of votre brand que isn’t a clickable lien is worth almost nothing — liens are the currency. In AI search, ceux plain mentions are the strongest signal I’ve mesuré (plus on the numbers in the Avancé tab). So PR, podcasts, and getting talked à propos de à travers the web now feed votre AI visibility directement.

A few plus petit differences follow from que:

• There’s aucun “position 1.” You’re soit cited or you’re pas. Une page ranking #5 in Google peut obtenir cited simplement as easily as the #1 page.
• Keyword stuffing backfires in AI réponses (it peut encore scrape by in some traditional searches).
• AI trafic is tiny but high-quality — far fewer visitors que Google sends, but ils convert at a beaucoup plus élevé rate.

L’essentiel

Do votre SEO premier — it’s the foundation and it’s où the trafic encore is. Alors couche the AI-specific signals on top: earn brand mentions, écrire clair front-loaded réponses, garder clé pages fresh. You’re pas replacing anything. Vouloir the données and the official quotes? Switch to the Avancé tab.

Google explicitly frames AI-feature eligibility via existing Search requirements plutôt que a nouveau technical discipline. Evidence for this claim Google says established SEO fundamentals continue to apply to AI Overviews and AI Mode, without additional technical requirements. Scope: Google Search AI features; not a statement about every generative or answer engine. Confidence: high · Verified: 2026-07-14 Google: AI features and your website The original GEO paper mesuré generative-answer visibility sous its propre benchmark, so its tactics ne doit pas be treated as permanent platform rules. Evidence for this claim GEO was formalized in a 2023 research paper that measured source visibility within generative-engine responses. Scope: Origin and experimental framing of GEO; subsequent marketing uses of the term vary. Confidence: high · Verified: 2026-07-14 Aggarwal et al.: GEO paper

TL;DR — GEO, AEO, and SEO sit on the même foundation: quality content, authority, E-E-A-T, and technical eligibility — and AI search runs RAG over the même web indexes traditional search uses, so la plupart SEO carries over pour free. Google and Bing les deux frame AI optimization as “still SEO.” The genuinely différent partie is un structural inversion: in Ahrefs’ 75 000-brand correlation study, branded web mentions correlate 0,664 with AI Overview brand visibility versus Domain Rating’s 0,326 — unlinked mentions, near-worthless in classic SEO, are the strongest AI signal. Everything sinon that’s “different” (citation vs. rank as the metric, passage-level retrieval, rank-5 beating rank-1, keyword stuffing hurting, 23x conversion at 190x moins trafic) follows from how AI réponses are assembled. Caveat: the correlation is descriptive, pas causal, and none of ces étiquettes guarantee ranking, citation, trafic, or conversion lift. Priority: do SEO, alors couche the AI signals on top.

Premier, the definitions que matter

None of ces three étiquettes are standardized the façon SEO is. SEO carries decades of shared search-industry usage; GEO and AEO definitions vary by author, product, surface, and date — treat quelconque GEO/AEO claim (notamment mine) as scoped to whoever is en utilisant the term, pas an industry consensus.

Three acronyms, un job, three vantage points:

• SEO wins ranked lien placement pour une URL.
• AEO rend vous be the réponse — the engine extracts votre text pour a featured snippet, a voice reply, or an AI réponse. Coined by Jason Barnard in a January 2018 Trustpilot white paper, originally a voice-search and featured-snippet idea, alors revived pour the LLM era.
• GEO obtient vous cited as a source à l’intérieur a synthesized AI réponse. Coined academically by Aggarwal et al. (KDD 2024).

The pedagogically utile split is vous ARE the réponse (AEO) vs. you’re CITED in the réponse (GEO) — distinct origins, but the 2025–26 tactics overlap ~90%, so I’ll mostly treat GEO/AEO as un chose contre SEO ci-dessous.

What’s the même à travers tout three

Ce is la plupart of the surface area, and it’s pourquoi I garder appel ce evolution, pas revolution.

• Quality content is the foundation. The même utile, people-first content que ranks aussi obtient cited.
• Authority encore matters — it’s simplement mesuré differently (suivant section). The concept “trusted sources win” is unchanged.
• Technical eligibility is a shared gate. Une page que can’t be crawled and indexé can’t be cited. Crawlability, indexability, HTTPS, and structure are prerequisites pour les deux.
• AI search reads the même indexes. Google AI Overviews, ChatGPT Search, Bing Copilot, and Perplexity ground réponses with retrieval-augmented generation (RAG) — pulling from the même web indexes traditional search uses. Microsoft dit it outright: getting cited “comes bas to two choses: premier, assurez-vous Bing has indexé votre content so it apparaît in result sets, and second, assurez-vous votre content is clair, structured, and trustworthy suffisant to win the citation.”

What’s genuinely différent — the signal inversion

Si vous remember un chose, remember ce. In Ahrefs’ 75 000-brand correlation study by Louise Linehan and Xibeijia Guan, qui I presented and interpreted at Ahrefs Evolve 2025, the signals predicting Google AI Overview inclusion line up comme ce:

Lire que top-to-bottom: unlinked brand mentions — qui réussir aucun PageRank and contribute almost nothing in traditional SEO — are the unique strongest predictor, and ils beat Domain Rating, the classic link-based authority proxy. Que is a structural inversion, pas a marginal difference. It signifie PR, social, and brand-building teams now propre a direct AI-visibility lever, pas simplement an indirect un. My one-line framing of the whole shift: “From ‘Optimize Votre site’ → ‘Optimize How The Internet Talks À propos de Vous’.”

Que table is a dated correlation from un dataset, pas a causal tester. It doesn’t contrôler pour confounders — an established brand may earn les deux plus mentions and plus AI Overview inclusion parce que it’s simply bigger and better-known, pas parce que the mentions caused the inclusion — and aucun controlled experiment ici isolates si ajout mentions moves inclusion pour a donné site. Lire it as a descriptive predictor worth tracking, pas a guaranteed lever.

The autre differences (ils follow from how réponses are construit)

Ces are réel, but they’re downstream of “an AI assembles an answer from passages” plutôt que “a SERP ranks URLs”:

• Citation, pas rank, is the success metric. SEO donne vous a position number (average position 2,3). AI search donne vous cited / not-cited — and même que is hard to mesurer consistently. There’s aucun “outranking” anyone; you’re in the citation définir or you’re pas.
• Passage-level retrieval, pas URL-level ranking. AI systems extract spécifique passages and peut synthesize à travers several pages. So a rank-5 page peut be cited over the rank-1 page si it has the meilleur paragraph pour the sub-question — qui is structurally impossible in a traditional SERP. The Princeton GEO paper trouvé rank-5 pages gained +115,1% in citation frequency from GEO tactics, pendant que the rank-1 page en réalité lost ~30,3%.
• Keyword stuffing inverts. The même GEO paper mesuré keyword stuffing at -9% pour AI citation. In limited exact-match SEO cas it peut encore scrape a marginal benefit; in AI réponses it degrades fluency and hurts vous.
• A différent trafic profile. AI search sends far moins trafic — in my analysis of 76 000 sites, Google sent roughly 190x plus website trafic que ChatGPT, and ChatGPT’s estimated click-through rate was à propos de 96% lower que Google’s (1,3% vs. 29,2%). But que trickle converts: in my analysis of Ahrefs’ June 2025 internal données, I trouvé AI search visitors converted at à propos de 23x the rate of traditional organic search pour Ahrefs. Tiny channel, disproportionately valuable.

The AEO-specific angle

AEO predates GEO and came from a différent placer — voice search and featured snippets, où là is exactly un spoken or boxed réponse. Que origin is pourquoi the AEO mental model is “be the extractable answer”: front-load a direct one-to-two sentence réponse sous a clair heading, utiliser tables and listes, garder it simple. GEO’s origin is the LLM citation. In 2025–26 they’ve converged — the même structured, front-loaded, citable content wins les deux — but the distinction is worth keeping parce que it indique vous ce que you’re optimizing toward: extraction (AEO) vs. inclusion as a cited source (GEO).

The “still SEO” cas

The official positions are unambiguous. Google: “From Recherche Google’s perspective, optimizing pour generative AI search is optimizing pour the search experience, and thus encore SEO,” with “aucun additional requirements to apparaître in AI Overviews or AI Mode.” Danny Sullivan’s compression of it: “Bon SEO is bon GEO.” Ryan Law’s Ahrefs piece is titled, accurately, GEO, LLMO, AEO… It’s Tout Simplement SEO. The practitioner données agrees — la plupart companies run AI search via leur existing SEO teams plutôt que a separate specialty.

Que guidance is scoped to Google’s propre AI fonctionnalités. AI Overviews and AI Mode run on Google’s explorer, index, and eligibility systems, so Google’s “still SEO” framing doesn’t automatically extend to ChatGPT, Perplexity, or autre generative products — ceux run leur propre retrieval and source-selection systems outside Google’s contrôler, même où the underlying tactics overlap En pratique.

The “actually different” cas

The honest counterweight: the brand-mention inversion n’est pas cosmetic. A site with nombreux mentions but mediocre backlinks peut out-cite a high-DR site with fewer mentions — something que doesn’t se produire in a traditional SERP. Combine que with passage-level retrieval (page authority ne … plus guarantees the citation), citation-not-rank measurement, and a fundamentally différent trafic/conversion profile, and vous have suffisant divergence to warrant attention même si it doesn’t warrant a separate team. “Evolution” doesn’t mean “no change” — it signifie the foundation holds pendant que the execution couche expands.

Garder outcomes and measurement scoped

Two guardrails avant vous act on quelconque of ce:

• Don’t collapse outcomes into un score. Ranking, retrieval, context inclusion, extraction, mention, citation, prominence, clicks, conversions, and revenue are separate choses. A tactic que moves un doesn’t necessarily déplacer the others — the GEO paper’s rank-5/rank-1 numbers ci-dessus are à propos de citation frequency à l’intérieur its propre benchmark, pas clicks or revenue. None of the SEO, AEO, or GEO étiquettes or tactics guarantee ranking, extraction, mention, citation, trafic, or conversion lift; they’re a description of ce que tends to correlate, pas a promise.
• Scope every measurement. Recherche Google Console reports clicks, impressions, CTR, and position pour Recherche Google sous its propre documented dimensions — it doesn’t observe ChatGPT, Perplexity, or autre generative products. Treat quelconque GEO/AEO visibility claim (notamment the numbers on ce page) as tied to a spécifique provider, prompt, model, market, and date; an unscoped “AI visibility” figure isn’t measuring anything spécifique.

Practical priority

Do SEO premier; it’s the foundation and it’s où the volume encore is. Alors couche the incremental AI signals on top — none of les conflict with SEO (except keyword stuffing, qui déjà hurt les deux):

1. Earn brand mentions à travers credible third-party sites, podcasts, and publications — the 0,664 signal.
2. Écrire passage-quality réponses — every section devrait réponse its question in the premier two or three sentences.
3. Establish entity clarity — consistent brand/author identity, Wikipedia/ Wikidata, sameAs.
4. Garder clé pages fresh — AI assistants lean toward recently mis à jour material.

Weight the AI signals plus heavily quand votre audience is high-converting (B2B, research and informational intent) — that’s où the 23x conversion rend a tiny channel worth réel effort. Pour a deeper hub on the whole topic, voir AI search optimization.

AI summary

A condensed prendre on the Avancé version:

• Un job, three vantage points. SEO = ranked liens; AEO = be the extracted réponse; GEO = be cited in a synthesized AI réponse. AEO/GEO tactics overlap ~90%.
• What’s the même (la plupart of it): quality content, authority, E-E-A-T, and technical eligibility — and AI search runs RAG over the même web indexes, so SEO carries over. Google and Bing les deux appel it “still SEO.”
• The un structural difference: branded web mentions correlate 0,664 with AI Overview inclusion vs. Domain Rating’s 0,326. Unlinked mentions, near- worthless in classic SEO, are the strongest AI signal — an inversion, pas a tweak.
• Downstream differences: citation (pas rank) is the metric; passage-level retrieval signifie a rank-5 page peut beat rank-1 (+115,1% vs. -30,3% in the Princeton paper); keyword stuffing -9%; AI sends ~190x moins trafic but converts ~23x meilleur.
• AEO angle: “you ARE the answer” (voice/snippet origin, 2018) vs. GEO’s “you’re cited” (LLM era) — converged En pratique.
• Guardrails: the 0,664 correlation is descriptive, pas causal (un dataset, unconfirmed confounds); garder rank, extraction, mention, citation, click, conversion, and revenue as separate outcomes plutôt que un visibility score; Google’s “still SEO” framing covers Google’s propre surfaces, pas every generative product; scope quelconque AI-visibility number to a provider, prompt, model, market, and date (GSC seulement observes Recherche Google). None of ces étiquettes guarantee ranking, citation, trafic, or conversion lift.
• Priority: do SEO premier, alors couche brand mentions, passage clarity, entity signals, and freshness on top. Nothing conflicts (except keyword stuffing).

Documentation officielle

Primary-source documentation on how AI optimization relates to SEO.

Google

• AI optimization guide — the “optimizing for generative AI search is still SEO” guidance; ce que vous do and don’t besoin.
• AI fonctionnalités dans la recherche Google — how AI Overviews and AI Mode fonctionner (RAG / grounding and requête fan-out), and pourquoi SEO meilleur practices carry over.
• In-Depth Guide to How Recherche Google Fonctionne — the explorer → index → serve foundation AI fonctionnalités are rooted in.

Bing / Microsoft

• Introducing AI Performances in Bing Webmaster Outils (Feb 2026) — citation counts, cited pages, and grounding requêtes — the premier publisher view of Copilot citation données.
• Optimizing pour generative AI and public websites — Bing’s “make sure you’re indexed, then win the citation” framing.

Quotes from the source

On-the-record statements on si AI optimization is its propre discipline. Chaque lien is a deep lien que jumps to the quoted passage.

Google — “it’s still SEO”

• “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.” — Recherche Google Central, AI optimization guide. Jump to quote
• “The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.” Jump to quote
• “Good SEO is good GEO.” — Danny Sullivan, Recherche Google Liaison, via Moteur de recherche Land (November 2025).

Microsoft Bing — indexé premier, alors win the citation

• “Getting cited comes down to two things: first, make sure Bing has indexed your content so it appears in result sets, and second, make sure your content is clear, structured, and trustworthy enough to win the citation over competitors.” — Microsoft Copilot guidance. Jump to quote

Ryan Law, Ahrefs — it’s tout simplement SEO

• “the core mechanism for improving visibility in LLM output is: creating relevant content on topics your brand wants to be associated with, both on and off your website. That’s SEO.” — Ryan Law, GEO, LLMO, AEO… It’s Tout Simplement SEO (April 2025). Jump to quote

Ce que to AJOUTER pour GEO/AEO (don’t replace votre SEO)

Assuming votre SEO fundamentals are déjà in placer — crawlable, indexable, quality content, sound architecture — ces are the incremental moves que earn AI visibility. None of les replace SEO fonctionner; ils couche on top.

• Earn unlinked brand mentions in credible third-party publications, podcasts, and industry sites (the 0,664 signal — stronger que backlinks pour AI).
• Front-load every section’s réponse — the spécifique question answered in the premier two or three sentences, alors the supporting detail.
• Ajouter original données/research où vous pouvez — studies and comparison pages out-cite standard blog posts in AI réponses.
• Establish entity clarity — consistent brand/author identity, Wikipedia/ Wikidata où applicable, sameAs schema, consistent NAP.
• Garder clé pages fresh — AI assistants lean toward recently mis à jour material.
• Drop keyword stuffing entirely — it’s -9% pour AI citation (and it wasn’t helping beaucoup in SEO soit).
• Don’t block AI robots d’exploration si vous vouloir AI visibility — blocking removes vous from citations and doesn’t aider traditional SEO.
• Skip the “AI magic” busywork — aucun llms.txt, aucun AI-only schema; Google ignores les.
• Track brand mentions and AI citations alongside rankings (Ahrefs Brand Radar, GSC AI fonctionnalités, Bing AI Performances).

Traditional SEO vs. GEO/AEO — side by side

The priority model: SEO premier, AI signals on top

1. Do SEO premier — it’s the foundation and the volume. Crawlable, indexable, quality content, authority, sound architecture. Google sends orders of magnitude plus trafic que every AI outil combined, and the AI fonctionnalités are rooted in the même ranking systems. Skipping SEO to chase GEO is optimizing the 0,5% and ignoring the 99,5%.

2. Couche the incremental AI signals on top — ils don’t conflict. Après baseline SEO, ajouter the levers que are genuinely AI-specific:

• Brand mentions (0,664) — the strongest AI signal, and a job pour PR/social, pas simplement liens.
• Passage clarity — front-loaded réponses, un question per section.
• Entity clarity — well-established brand/author entities.
• Freshness — garder clé pages current.

The seulement chose que “conflicts” is keyword stuffing, qui hurt les deux anyway.

3. Weight GEO/AEO plus heavily quand the audience justifies it. The 23x taux de conversion rend a tiny channel worth disproportionate effort quand:

• High-converting B2B — AI visitors are pre-vetted, high-intent buyers.
• Research and informational requêtes — exactly où AI réponses dominate the experience and où being the cited source compounds.
• Comparison and original-data content — le contenu types AI réponses favor.

Pour low-margin, high-volume, broad-consumer plays, traditional SEO encore fait the heavy lifting — let AI be additive, pas a substitute.

Testez vos connaissances: GEO, AEO, and SEO

Ressources utiles

The “it’s all just SEO” cas

• Ryan Law, GEO, LLMO, AEO… It’s Tout Simplement SEO (Ahrefs) — the clearest articulation of the convergence argument.

My studies and données

• AI Search Trafic Converts at 23x — Ahrefs Données — the conversion-quality gap.
• Insights From 56 Million AI Overviews — ce que montre up in AI Overviews.
• AI Search Trafic by Page Type — où AI trafic en réalité lands.
• Meet the Nouveau Web Robots d’exploration — AI bots vs. search bots.

My speaking

• GEO? AEO? LLMO? What’s With Tout Ce AI SEO Stuff? — Ahrefs Evolve 2025 (slides, video). My standing disclaimer s’applique: ce is my understanding, pas gospel.

Ahrefs guides

• Generative Engine Optimization (GEO) and the Réponse Engine Optimization guide (Despina Gavoyannis) — the GEO and AEO playbooks.

The academic source

• Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024) — où the rank-5 lift and keyword-stuffing findings come from.

From autour the industry

• AI optimization guide (Recherche Google Central) — Google’s principal statement que optimizing pour generative AI is “still SEO”; aucun additional requirements pour AI Overviews.
• Optimizing pour generative AI and public websites (Microsoft) — Bing’s “get indexed, then win the citation” framing pour Copilot.
• Danny Sullivan: “Good SEO is good GEO” (Moteur de recherche Land) — Google’s Search Liaison compression of the convergence argument.
• GEO: Generative Engine Optimization paper summary (arXiv / KDD 2024) — Aggarwal et al. original academic paper; the source of rank-5 +115,1% and keyword-stuffing -9% findings.

Stats worth citing

• Brand mentions beat backlinks pour AI. Branded web mentions correlate 0,664 with Google AI Overview inclusion vs. Domain Rating at 0,326 — the structural inversion, from Ahrefs’ 75 000-brand study by Louise Linehan and Xibeijia Guan. Source
• AI converts ~23x meilleur. AI search visitors convert at roughly 23x the rate of organic search in Ahrefs’ internal données — high-intent, pre-vetted utilisateurs. Source
• Google sends ~190x plus trafic que ChatGPT, and ChatGPT’s CTR is à propos de 96% lower (1,3% vs. 29,2%). Tiny channel, big conversion.
• Keyword stuffing is -9% pour GEO, and rank-5 pages gained +115,1% in citation frequency from GEO tactics pendant que the rank-1 page lost ~30,3% — Princeton GEO paper (Aggarwal et al., KDD 2024). Source

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