Reference

SEO, AEO & GEO

"Being found" used to mean one thing. Now it's three — plus one that isn't about being found at all

For decades, getting found online meant ranking in Google — that's SEO. AI changed that into two more disciplines: getting extracted into an AI answer (AEO) and getting named and recommended by one (GEO). Underneath all three sits a separate question entirely — whether an autonomous agent can actually operate your site. Most teams are fluent in the first and blind to the rest.

From "SEO vs GEO" to four distinct axes

The original framing was simple: SEO for traditional search, GEO for "the AI stuff." That binary has aged badly. Lumping everything AI-related under one word hides the fact that AI systems interact with your site in genuinely different ways, each with its own signals, its own evidence, and its own success criteria.

Pulling them apart matters because the advice diverges. A signal that does real work for one axis can do nothing for another — and treating them as one number is how teams optimise the wrong thing.

SEO — get ranked

Do you appear in the traditional list of links on a search results page? On-page optimisation, topical authority, backlinks, E-E-A-T.

AEO — get into the answer

Answer Engine Optimization. Can your content be extracted and cited inside an AI-generated answer (ChatGPT, Perplexity, Google AI Overviews)? Structured data, AI-crawler access, answer-first content.

GEO — get recommended

Generative Engine Optimization. Do AI systems name and recommend you? This is driven off-site — earned media, third-party citations, entity strength in reference sources. Distinct from AEO's "get into the answer."

Agent-operability — get acted on

Not about being found at all. Can an autonomous agent load, read, navigate, and complete a task on your site? A different audience asking a different question — covered in its own section below.

Underneath all four sits Web — the plumbing question. Can a machine load, render, and traverse your site at all? If it can't, none of the rest applies.

The two worlds, side by side

SEO

Search Engine Optimization

The practice of optimising your website and content to rank highly in traditional search engine results — primarily Google, but also Bing and others. When someone searches for a term and your page appears near the top of the results list, that's SEO working.

SEO has been a core marketing discipline since the late 1990s. Its signals — backlinks, domain authority, keyword relevance, technical site health — are well understood, and its outcomes are measurable with standard analytics tools.

AEO & GEO

the AI-search disciplines

The emerging practice of optimising your content and digital presence for AI-generated responses — from ChatGPT, Perplexity, Google AI Overviews, Gemini, and others. But "show up in AI" is two different jobs: AEO is getting your content extracted and cited inside the answer; GEO is getting named and recommended, which is driven by off-site consensus, not your own page.

Both are newer, less standardised, and harder to measure than SEO. But AI search is rapidly expanding in terms of usage, which makes it an essential part of any marketing infrastructure.

The diagnostic scores these under one Discoverability pillar — Web, SEO, AEO, and GEO as four distinct sub-scores. The separate question of whether an agent can operate your site is scored across other pillars. See the cross-pillar agentic substrate readiness methodology.

SEO vs AEO vs GEO

Three disciplines of being found. The agent-operability axis is a different kind of thing entirely and gets its own section below.

Dimension SEO AEO GEO

Goal Rank in a list of links on a search results page Get extracted and cited inside an AI-generated answer Get named or recommended when an AI suggests options

Primary signal Backlinks, domain authority, keyword relevance, technical health Structured data, AI-crawler access, answer-first content, clean entity facts Off-site consensus — earned media, third-party citations, entity strength

Where the work happens Your website and its technical properties Your site's content and markup — schema, headings, crawler directives Off your site — press, directories, Wikipedia, forums, analyst coverage

Content strategy Long-form, keyword-targeted content that ranks for specific queries Concise, factual, structured content that answers a question directly Be the thing credible third parties cite — earn the mention elsewhere

Measurement Rankings, organic traffic, click-through rate — Search Console, Ahrefs, Semrush Whether you appear inside AI answers — answer-tracking tools (Profound, Otterly, Peec) Whether AI names you — AI-visibility tools (Obsero, Otterly, Ayzeo)

Timeline Months — ranking takes time and depends on competition Variable — tracks your content and crawl-access changes Slowest — off-site consensus accumulates over time

A retrieval-bot block in robots.txt caps AEO regardless of everything else — if AI systems can't fetch the page, they can't extract from it.

The axis that isn't about being found

SEO, AEO, and GEO are all variations on one question: will you show up? There's a fourth axis that isn't about showing up at all. It asks whether an autonomous agent — a system harnessed not to answer questions about your site but to act on it: open it, read its structure, navigate it, complete a task — can actually operate your infrastructure.

This matters because the same signal can land completely differently across the two. The cleanest example is llms.txt, the structured summary file you place at your domain root. On the citation question, rigorous research finds no measurable lift — it doesn't currently help you get cited inside AI answers. On the agent question, it's a map handed to something trying to navigate your site, and it does real work. Same file, two jobs, two verdicts — and collapsing them into one "+3 points, you have an llms.txt" number is exactly the mistake forensic analysis exists to prevent.

Why we keep them apart: In our Diagnostic reports you'll see llms.txt scored twice — once as an AEO citation-posture signal (honestly low today) and once as an agent-operability signal (which can be high). One file, two readings, because the honest answer to "is my llms.txt doing anything?" depends entirely on which question you're asking. The full reconciliation is here.

The shift that's happening

For decades, "being found online" meant one thing: ranking in Google. The entire SEO industry — tools, agencies, consultants, best practices — was built around that singular fact.

That is no longer the full picture. A growing proportion of information searches now happen through conversational AI interfaces. The user doesn't get a list of links — they get a generated answer. Whether your brand is quoted inside that answer (AEO) and whether it's named when the AI recommends options (GEO) are now their own outcomes, decided by their own signals — and neither is guaranteed by where you rank on Google search, or on any other search engine.

This creates a new problem for marketing teams: the skills, tools, and strategies that made you visible in traditional search don't automatically transfer. In some cases — keyword-stuffed content, vague brand messaging, inconsistent business information across the web — they actively work against AEO and GEO performance.

The important nuance: SEO is not dead, and the AI disciplines do not replace it. Traditional search results still exist, still drive traffic, and still matter. The challenge is that most marketing stacks were built for one world and now need to operate in several at once.

What this means for your marketing stack

AEO and GEO aren't separate channels you add to your plan. They're a set of infrastructure requirements that affect how you build and maintain your entire digital presence.

Brand consistency across all surfaces AEO + GEO

AI systems synthesise information from many sources. If your brand name, description, and core claims are inconsistent across your website, social profiles, press coverage, and directories, the AI's representation of you will be inconsistent too — or wrong.

Structured data and schema markup AEO

Schema markup (Organization, LocalBusiness, Product, FAQ, Article) helps AI systems extract what your business is and what it does into their answers. This was always good SEO practice — for AEO, it's closer to mandatory.

Factual, citable content AEO

AI systems prefer content that makes clear, verifiable, specific claims. Content that hedges everything or buries key facts in qualifiers is less likely to be extracted accurately. Answer the question. State the fact. Be specific.

Third-party mentions and citations GEO

AI systems heavily weight authoritative external sources — press coverage, industry publications, professional directories, Wikipedia. Being cited by credible external sources is GEO's equivalent of backlinks, and it's the main thing that gets you recommended.

AI-crawler access in robots.txt AEO

If you block the retrieval bots (ChatGPT-User, PerplexityBot, OAI-SearchBot) in robots.txt, no AI system can fetch your page to extract from it — and AEO is capped regardless of how good your content is. A differentiated posture (block training bots, allow retrieval bots) is a valid strategic choice, not a penalty.

Measurement that tracks AI visibility AEO + GEO

Standard analytics won't tell you if an AI quoted or recommended you. AEO and GEO require adding AI-visibility monitoring — dedicated tools (Obsero, Otterly, Ayzeo) or manual AI-response sampling — to your measurement infrastructure.

Where to start

Most businesses don't need to choose between SEO, AEO, and GEO — they need to understand where their current infrastructure is strong and where it's leaving them invisible. That's exactly what the forensic diagnostic surfaces.

The Discoverability pillar of the diagnostic scores all four findability axes separately — Web (loadability), SEO (organic ranking), AEO (getting into AI answers), and GEO (getting recommended) — so you can see which one is actually weak instead of guessing. The Brand pillar catches the consistency problems that undermine AEO and GEO both. The agent-operability axis is scored across the Tech Stack, Conversion, and Compliance pillars — because being operable by an agent is a different question from being found by one.

Understand where you stand

The free diagnostic surfaces how your current infrastructure performs across SEO, AEO, GEO, and agent-readiness — in five to ten minutes, at no cost.

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