GEO / AEO vs SEO

For Google’s AI features, the company says the same SEO basics continue to apply. 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 for visibility inside generated answers. 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 same job as SEO, just aimed at AI answers instead of blue links. The big stuff is identical: good content, being a trusted source, and a site that search engines can actually read. Google even says optimizing for AI search “is still SEO.” The one thing that’s genuinely different: what the rest of the internet says about you (brand mentions) now matters more than links pointing at you — which is backwards from how traditional SEO works. That’s a correlation from one dataset, though, not a guarantee — treat it as a signal to watch, not a lever with a proven cause-and-effect.

The acronyms, in one breath

You’ll see three terms thrown around, and they overlap a lot:

• SEO (Search Engine Optimization) — getting your pages to rank in the list of links on Google and Bing. The original job.
• AEO (Answer Engine Optimization) — getting your content delivered as the answer: a featured snippet, a voice-assistant reply, an AI answer box. The goal is for the engine to read your text aloud or paste it at the top.
• GEO (Generative Engine Optimization) — getting cited inside an AI-written answer from ChatGPT, Perplexity, or Google’s AI Overviews.

The cleanest way to keep AEO and GEO apart: with AEO you ARE the answer, with GEO you’re CITED in the answer. In real life the tactics for both are nearly the same, and plenty of people use the words interchangeably.

What’s actually the same

Almost everything. All three reward:

• Quality, helpful content written for people.
• Authority — being a source others trust.
• Technical basics — a page that can be crawled and indexed. If Google can’t read your page, an AI can’t cite it either, because most AI search reads from the same web indexes.

That’s why Google’s own guidance says you don’t need a separate playbook or special files to show up in AI Overviews. Do good SEO and you’re most of the way there.

What’s actually different

One thing stands out, and it’s a real flip:

Unlinked brand mentions matter more than backlinks. In traditional SEO, a mention of your brand that isn’t a clickable link is worth almost nothing — links are the currency. In AI search, those plain mentions are the strongest signal I’ve measured (more on the numbers in the Advanced tab). So PR, podcasts, and getting talked about across the web now feed your AI visibility directly.

A few smaller differences follow from that:

• There’s no “position 1.” You’re either cited or you’re not. A page ranking #5 in Google can get cited just as easily as the #1 page.
• Keyword stuffing backfires in AI answers (it can still scrape by in some traditional searches).
• AI traffic is tiny but high-quality — far fewer visitors than Google sends, but they convert at a much higher rate.

The bottom line

Do your SEO first — it’s the foundation and it’s where the traffic still is. Then layer the AI-specific signals on top: earn brand mentions, write clear front-loaded answers, keep key pages fresh. You’re not replacing anything. Want the data and the official quotes? Switch to the Advanced tab.

Google explicitly frames AI-feature eligibility through existing Search requirements rather than a new 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 measured generative-answer visibility under its own benchmark, so its tactics should not 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 same foundation: quality content, authority, E-E-A-T, and technical eligibility — and AI search runs RAG over the same web indexes traditional search uses, so most SEO carries over for free. Google and Bing both frame AI optimization as “still SEO.” The genuinely different part is one 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 else that’s “different” (citation vs. rank as the metric, passage-level retrieval, rank-5 beating rank-1, keyword stuffing hurting, 23x conversion at 190x less traffic) follows from how AI answers are assembled. Caveat: the correlation is descriptive, not causal, and none of these labels guarantee ranking, citation, traffic, or conversion lift. Priority: do SEO, then layer the AI signals on top.

First, the definitions that matter

None of these three labels are standardized the way SEO is. SEO carries decades of shared search-industry usage; GEO and AEO definitions vary by author, product, surface, and date — treat any GEO/AEO claim (including mine) as scoped to whoever is using the term, not an industry consensus.

Three acronyms, one job, three vantage points:

• SEO wins ranked link placement for a URL.
• AEO makes you be the answer — the engine extracts your text for a featured snippet, a voice reply, or an AI answer. Coined by Jason Barnard in a January 2018 Trustpilot white paper, originally a voice-search and featured-snippet idea, then revived for the LLM era.
• GEO gets you cited as a source inside a synthesized AI response. Coined academically by Aggarwal et al. (KDD 2024).

The pedagogically useful split is you ARE the answer (AEO) vs. you’re CITED in the answer (GEO) — distinct origins, but the 2025–26 tactics overlap ~90%, so I’ll mostly treat GEO/AEO as one thing against SEO below.

What’s the same across all three

This is most of the surface area, and it’s why I keep calling this evolution, not revolution.

• Quality content is the foundation. The same helpful, people-first content that ranks also gets cited.
• Authority still matters — it’s just measured differently (next section). The concept “trusted sources win” is unchanged.
• Technical eligibility is a shared gate. A page that can’t be crawled and indexed can’t be cited. Crawlability, indexability, HTTPS, and structure are prerequisites for both.
• AI search reads the same indexes. Google AI Overviews, ChatGPT Search, Bing Copilot, and Perplexity ground answers with retrieval-augmented generation (RAG) — pulling from the same web indexes traditional search uses. Microsoft says it outright: 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.”

What’s genuinely different — the signal inversion

If you remember one thing, remember this. In Ahrefs’ 75,000-brand correlation study by Louise Linehan and Xibeijia Guan, which I presented and interpreted at Ahrefs Evolve 2025, the signals predicting Google AI Overview inclusion line up like this:

Read that top-to-bottom: unlinked brand mentions — which pass no PageRank and contribute almost nothing in traditional SEO — are the single strongest predictor, and they beat Domain Rating, the classic link-based authority proxy. That is a structural inversion, not a marginal difference. It means PR, social, and brand-building teams now own a direct AI-visibility lever, not just an indirect one. My one-line framing of the whole shift: “From ‘Optimize Your Site’ → ‘Optimize How The Internet Talks About You’.”

That table is a dated correlation from one dataset, not a causal test. It doesn’t control for confounders — an established brand may earn both more mentions and more AI Overview inclusion because it’s simply bigger and better-known, not because the mentions caused the inclusion — and no controlled experiment here isolates whether adding mentions moves inclusion for a given site. Read it as a descriptive predictor worth tracking, not a guaranteed lever.

The other differences (they follow from how answers are built)

These are real, but they’re downstream of “an AI assembles an answer from passages” rather than “a SERP ranks URLs”:

• Citation, not rank, is the success metric. SEO gives you a position number (average position 2.3). AI search gives you cited / not-cited — and even that is hard to measure consistently. There’s no “outranking” anyone; you’re in the citation set or you’re not.
• Passage-level retrieval, not URL-level ranking. AI systems extract specific passages and can synthesize across several pages. So a rank-5 page can be cited over the rank-1 page if it has the better paragraph for the sub-question — which is structurally impossible in a traditional SERP. The Princeton GEO paper found rank-5 pages gained +115.1% in citation frequency from GEO tactics, while the rank-1 page actually lost ~30.3%.
• Keyword stuffing inverts. The same GEO paper measured keyword stuffing at -9% for AI citation. In limited exact-match SEO cases it can still scrape a marginal benefit; in AI answers it degrades fluency and hurts you.
• A different traffic profile. AI search sends far less traffic — in my analysis of 76,000 sites, Google sent roughly 190x more website traffic than ChatGPT, and ChatGPT’s estimated click-through rate was about 96% lower than Google’s (1.3% vs. 29.2%). But that trickle converts: in my analysis of Ahrefs’ June 2025 internal data, I found AI search visitors converted at about 23x the rate of traditional organic search for Ahrefs. Tiny channel, disproportionately valuable.

The AEO-specific angle

AEO predates GEO and came from a different place — voice search and featured snippets, where there is exactly one spoken or boxed answer. That origin is why the AEO mental model is “be the extractable answer”: front-load a direct one-to-two sentence answer under a clear heading, use tables and lists, keep it simple. GEO’s origin is the LLM citation. In 2025–26 they’ve converged — the same structured, front-loaded, citable content wins both — but the distinction is worth keeping because it tells you what you’re optimizing toward: extraction (AEO) vs. inclusion as a cited source (GEO).

The “still SEO” case

The official positions are unambiguous. Google: “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO,” with “no additional requirements to appear in AI Overviews or AI Mode.” Danny Sullivan’s compression of it: “Good SEO is good GEO.” Ryan Law’s Ahrefs piece is titled, accurately, GEO, LLMO, AEO… It’s All Just SEO. The practitioner data agrees — most companies run AI search through their existing SEO teams rather than a separate specialty.

That guidance is scoped to Google’s own AI features. AI Overviews and AI Mode run on Google’s crawl, index, and eligibility systems, so Google’s “still SEO” framing doesn’t automatically extend to ChatGPT, Perplexity, or other generative products — those run their own retrieval and source-selection systems outside Google’s control, even where the underlying tactics overlap in practice.

The “actually different” case

The honest counterweight: the brand-mention inversion is not cosmetic. A site with many mentions but mediocre backlinks can out-cite a high-DR site with fewer mentions — something that doesn’t happen in a traditional SERP. Combine that with passage-level retrieval (page authority no longer guarantees the citation), citation-not-rank measurement, and a fundamentally different traffic/conversion profile, and you have enough divergence to warrant attention even if it doesn’t warrant a separate team. “Evolution” doesn’t mean “no change” — it means the foundation holds while the execution layer expands.

Keep outcomes and measurement scoped

Two guardrails before you act on any of this:

• Don’t collapse outcomes into one score. Ranking, retrieval, context inclusion, extraction, mention, citation, prominence, clicks, conversions, and revenue are separate things. A tactic that moves one doesn’t necessarily move the others — the GEO paper’s rank-5/rank-1 numbers above are about citation frequency inside its own benchmark, not clicks or revenue. None of the SEO, AEO, or GEO labels or tactics guarantee ranking, extraction, mention, citation, traffic, or conversion lift; they’re a description of what tends to correlate, not a promise.
• Scope every measurement. Google Search Console reports clicks, impressions, CTR, and position for Google Search under its own documented dimensions — it doesn’t observe ChatGPT, Perplexity, or other generative products. Treat any GEO/AEO visibility claim (including the numbers on this page) as tied to a specific provider, prompt, model, market, and date; an unscoped “AI visibility” figure isn’t measuring anything specific.

Practical priority

Do SEO first; it’s the foundation and it’s where the volume still is. Then layer the incremental AI signals on top — none of them conflict with SEO (except keyword stuffing, which already hurt both):

1. Earn brand mentions across credible third-party sites, podcasts, and publications — the 0.664 signal.
2. Write passage-quality answers — every section should answer its question in the first two or three sentences.
3. Establish entity clarity — consistent brand/author identity, Wikipedia/ Wikidata, sameAs.
4. Keep key pages fresh — AI assistants lean toward recently updated material.

Weight the AI signals more heavily when your audience is high-converting (B2B, research and informational intent) — that’s where the 23x conversion makes a tiny channel worth real effort. For a deeper hub on the whole topic, see AI search optimization.

AI summary

A condensed take on the Advanced version:

• One job, three vantage points. SEO = ranked links; AEO = be the extracted answer; GEO = be cited in a synthesized AI answer. AEO/GEO tactics overlap ~90%.
• What’s the same (most of it): quality content, authority, E-E-A-T, and technical eligibility — and AI search runs RAG over the same web indexes, so SEO carries over. Google and Bing both call it “still SEO.”
• The one 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, not a tweak.
• Downstream differences: citation (not rank) is the metric; passage-level retrieval means a rank-5 page can beat rank-1 (+115.1% vs. -30.3% in the Princeton paper); keyword stuffing -9%; AI sends ~190x less traffic but converts ~23x better.
• AEO angle: “you ARE the answer” (voice/snippet origin, 2018) vs. GEO’s “you’re cited” (LLM era) — converged in practice.
• Guardrails: the 0.664 correlation is descriptive, not causal (one dataset, unconfirmed confounds); keep rank, extraction, mention, citation, click, conversion, and revenue as separate outcomes rather than one visibility score; Google’s “still SEO” framing covers Google’s own surfaces, not every generative product; scope any AI-visibility number to a provider, prompt, model, market, and date (GSC only observes Google Search). None of these labels guarantee ranking, citation, traffic, or conversion lift.
• Priority: do SEO first, then layer brand mentions, passage clarity, entity signals, and freshness on top. Nothing conflicts (except keyword stuffing).

Official documentation

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

Google

• AI optimization guide — the “optimizing for generative AI search is still SEO” guidance; what you do and don’t need.
• AI features in Google Search — how AI Overviews and AI Mode work (RAG / grounding and query fan-out), and why SEO best practices carry over.
• In-Depth Guide to How Google Search Works — the crawl → index → serve foundation AI features are rooted in.

Bing / Microsoft

• Introducing AI Performance in Bing Webmaster Tools (Feb 2026) — citation counts, cited pages, and grounding queries — the first publisher view of Copilot citation data.
• Optimizing for 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 whether AI optimization is its own discipline. Each link is a deep link that 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.” — Google Search 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, Google Search Liaison, via Search Engine Land (November 2025).

Microsoft Bing — indexed first, then 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 all just 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 All Just SEO (April 2025). Jump to quote

What to ADD for GEO/AEO (don’t replace your SEO)

Assuming your SEO fundamentals are already in place — crawlable, indexable, quality content, sound architecture — these are the incremental moves that earn AI visibility. None of them replace SEO work; they layer on top.

• Earn unlinked brand mentions in credible third-party publications, podcasts, and industry sites (the 0.664 signal — stronger than backlinks for AI).
• Front-load every section’s answer — the specific question answered in the first two or three sentences, then the supporting detail.
• Add original data/research where you can — studies and comparison pages out-cite standard blog posts in AI answers.
• Establish entity clarity — consistent brand/author identity, Wikipedia/ Wikidata where applicable, sameAs schema, consistent NAP.
• Keep key pages fresh — AI assistants lean toward recently updated material.
• Drop keyword stuffing entirely — it’s -9% for AI citation (and it wasn’t helping much in SEO either).
• Don’t block AI crawlers if you want AI visibility — blocking removes you from citations and doesn’t help traditional SEO.
• Skip the “AI magic” busywork — no llms.txt, no AI-only schema; Google ignores them.
• Track brand mentions and AI citations alongside rankings (Ahrefs Brand Radar, GSC AI features, Bing AI Performance).

Traditional SEO vs. GEO/AEO — side by side

The priority model: SEO first, AI signals on top

1. Do SEO first — it’s the foundation and the volume. Crawlable, indexable, quality content, authority, sound architecture. Google sends orders of magnitude more traffic than every AI tool combined, and the AI features are rooted in the same ranking systems. Skipping SEO to chase GEO is optimizing the 0.5% and ignoring the 99.5%.

2. Layer the incremental AI signals on top — they don’t conflict. After baseline SEO, add the levers that are genuinely AI-specific:

• Brand mentions (0.664) — the strongest AI signal, and a job for PR/social, not just links.
• Passage clarity — front-loaded answers, one question per section.
• Entity clarity — well-established brand/author entities.
• Freshness — keep key pages current.

The only thing that “conflicts” is keyword stuffing, which hurt both anyway.

3. Weight GEO/AEO more heavily when the audience justifies it. The 23x conversion rate makes a tiny channel worth disproportionate effort when:

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

For low-margin, high-volume, broad-consumer plays, traditional SEO still does the heavy lifting — let AI be additive, not a substitute.

Test yourself: GEO, AEO, and SEO

Resources worth your time

The “it’s all just SEO” case

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

My studies and data

• AI Search Traffic Converts at 23x — Ahrefs Data — the conversion-quality gap.
• Insights From 56 Million AI Overviews — what shows up in AI Overviews.
• AI Search Traffic by Page Type — where AI traffic actually lands.
• Meet the New Web Crawlers — AI bots vs. search bots.

My speaking

• GEO? AEO? LLMO? What’s With All This AI SEO Stuff? — Ahrefs Evolve 2025 (slides, video). My standing disclaimer applies: this is my understanding, not gospel.

Ahrefs guides

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

The academic source

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

From around the industry

• AI optimization guide (Google Search Central) — Google’s primary statement that optimizing for generative AI is “still SEO”; no additional requirements for AI Overviews.
• Optimizing for generative AI and public websites (Microsoft) — Bing’s “get indexed, then win the citation” framing for Copilot.
• Danny Sullivan: “Good SEO is good GEO” (Search Engine 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 for 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 better. AI search visitors convert at roughly 23x the rate of organic search in Ahrefs’ internal data — high-intent, pre-vetted users. Source
• Google sends ~190x more traffic than ChatGPT, and ChatGPT’s CTR is about 96% lower (1.3% vs. 29.2%). Tiny channel, big conversion.
• Keyword stuffing is -9% for GEO, and rank-5 pages gained +115.1% in citation frequency from GEO tactics while the rank-1 page lost ~30.3% — Princeton GEO paper (Aggarwal et al., KDD 2024). Source

GEO / AEO vs SEO

GEO, AEO, and SEO share the same foundation — quality content, authority, technical eligibility — and AI search even draws on the same web indexes. The one structural difference: unlinked brand mentions (0.664 correlation) beat backlinks (Domain Rating 0.326) for AI visibility, inverting the traditional ranking hierarchy.

Related: AI Search Optimization, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO)

GEO / AEO vs SEO

GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and SEO (Search Engine Optimization) are all the same job from different angles. SEO earns ranked link placement; AEO makes you be the extracted answer (featured snippets, voice, AI answers); GEO gets you cited inside a synthesized AI response. In practice the tactics overlap so heavily that Google states “optimizing for generative AI search is still SEO.”

What’s the same is most of it: quality content, authority, E-E-A-T, and technical eligibility (crawlable, indexable) all carry over, because AI search engines run retrieval-augmented generation (RAG) over the same web indexes traditional search uses. A page that can’t be crawled and indexed can’t be cited either.

The one structural inversion is the authority signal. In traditional SEO, links — measured by something like Domain Rating — are the dominant off-site authority proxy, and unlinked brand mentions are worth almost nothing. In AI search, that flips: in my Ahrefs correlation research, branded web mentions correlate 0.664 with appearing in Google AI Overviews, well above Domain Rating at 0.326. Other differences follow from how AI answers are built — citation rather than rank as the success metric, passage-level retrieval (a rank-5 page can be cited over rank-1), keyword stuffing actively hurting, and a traffic profile that’s tiny in volume but converts far better. None of that replaces SEO; it layers on top of it.

Related: AI Search Optimization, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO)

Changelog