Short answer: SEO, AEO and GEO are not three separate technical disciplines with three independent ranking systems. SEO still provides the crawlability, indexability, relevance and authority foundation. AEO improves how clearly a page answers a question. GEO is a useful operating label for making content easy for generative systems to retrieve, understand, attribute and cite. The practical difference is not a magic schema tag; it is how deliberately you design for retrieval, answerability, citability and measurement.

Key takeaways

  • Google says there are no special technical requirements or special schema types required specifically for AI Overviews or AI Mode.
  • AI search can expand a query into several related searches, which makes topic coverage and entity clarity more important than exact-match keyword repetition.
  • ChatGPT Search and other answer engines have their own crawler/retrieval mechanics, so discoverability must be checked per platform.
  • The useful operating model is: Crawlability → Retrieval → Answerability → Citability → Measurement.
  • GEO and AEO should extend a sound SEO system, not replace it.

Why the terminology is confusing

SEO has decades of shared vocabulary. AEO and GEO are newer labels, and different practitioners use them differently.

That makes debates about the “correct” acronym less useful than asking a simpler question:

What must a page do to be discoverable, useful and attributable across both classical search and AI-generated answers?

If a page cannot be crawled, it cannot reliably participate. If the system cannot understand the subject and entities, retrieval becomes weaker. If the answer is buried in vague prose, extraction becomes harder. If claims lack evidence, the page is less useful as a source. And if you do not measure where traffic or citations come from, you cannot improve the system.

That is why I prefer an operating model over a terminology war.

The five-layer operating model

1. Crawlability

This is still basic technical SEO.

A useful page should have:

  • a stable URL;
  • a valid 200 response;
  • no accidental noindex;
  • a canonical that points to the intended page;
  • internal links from relevant pages;
  • HTML content available without requiring a fragile client-side rendering path;
  • robots directives that match the intended discovery policy.

For Google AI features, Google explicitly says that pages must already be eligible for Search and that no additional AI-specific technical requirements are needed.

For ChatGPT Search, OpenAI separately documents OAI-SearchBot. If a publisher wants pages to be eligible to surface in ChatGPT Search, blocking that crawler is counterproductive. That is a different decision from whether to allow GPTBot for model training.

2. Retrieval

Classical keyword targeting is only part of retrieval.

Modern search and answer systems work with entities, semantic relationships, passages and related sub-queries. Google describes AI features as potentially using query fan-out: the system can issue multiple related searches to assemble a response.

That changes the editorial question from:

“Did I repeat the exact keyword enough?”

into:

“Does this page cover the relevant sub-problems, entities and decision points clearly enough to be retrieved for the larger task?”

A page about marketing automation architecture, for example, should naturally explain triggers, identity, journeys, channels, measurement and governance because those are part of the decision system. It should not create six thin pages solely to capture six keyword variants.

3. Answerability

AEO is most useful as a quality discipline here.

Important questions should have a direct answer near the question, followed by evidence and explanation.

A practical pattern is:

Question → Direct answer → Evidence → Explanation → Next action

This helps humans first. It also makes a passage easier to extract accurately.

Answerability does not mean writing the whole site as FAQ spam. It means reducing ambiguity at the point where the reader needs a decision.

4. Citability

A page can be readable and still be a poor source.

Citability improves when the page makes it easy to identify:

  • who wrote the content;
  • what the claim is;
  • what evidence supports it;
  • when the evidence was checked;
  • whether the sentence is fact, vendor claim, inference or opinion;
  • what original contribution the page adds.

A statement such as “AI search prefers authoritative brands” is vague. A stronger version explains the observed behavior, cites the relevant primary documentation or study, and avoids pretending that correlation is a ranking rule.

This is the difference between sounding confident and being source-worthy.

5. Measurement

Traditional SEO measurement remains useful:

  • impressions;
  • clicks;
  • indexed pages;
  • rankings;
  • organic sessions;
  • conversions.

But AI-mediated discovery adds new observability questions:

  • Was the brand cited in an AI answer?
  • Which page was cited?
  • Which type of query produced the citation?
  • Did the referral arrive with a recognizable source parameter?
  • Did AI referral traffic convert differently from classical organic traffic?
  • Which content is repeatedly used across several answer engines?

The important point is to measure what is actually observable rather than inventing an “AI visibility score” that cannot be reproduced.

GEO vs AEO vs SEO in one table

Layer Primary job Typical work Common mistake
SEO Make the page discoverable and relevant crawlability, indexation, architecture, internal links, content quality treating SEO as keyword density
AEO Make answers clear and extractable direct answers, structured explanations, concise definitions turning every page into FAQ spam
GEO Make the page useful as a generative source entity clarity, evidence, source proximity, original information, citation readiness assuming there is a secret “GEO schema”

The labels overlap because the underlying page is the same page.

What Google officially says — and what it does not

Google's current guidance is unusually useful because it removes some hype.

Google says normal SEO fundamentals apply to AI features. It does not require special AI files, special schema or separate “AI pages” to appear in AI Overviews or AI Mode. It also warns against creating low-value pages for every possible query variation.

That means a durable strategy is still built on:

  • useful pages;
  • clear site architecture;
  • original information;
  • accurate structured data where appropriate;
  • crawlable HTML;
  • strong internal linking;
  • trustworthy claims.

The generative layer changes the way answers may be assembled, but it does not eliminate the need for a technically and editorially sound website.

What changes for ChatGPT and Perplexity

The biggest practical difference is not “optimization tricks.” It is platform-specific retrieval policy and observability.

For ChatGPT Search, OpenAI documents crawler controls and indicates that publishers should not block OAI-SearchBot if they want content to be eligible for search summaries/snippets. OpenAI also documents referral attribution using utm_source=chatgpt.com where applicable.

Perplexity positions itself as a web-first answer engine with inline citations and also exposes source labels for some categories of domains. Those labels are product features, not a universal ranking-factor specification.

So the platform layer should answer three operational questions:

  1. Can the platform retrieve the page?
  2. Can it understand and cite the page accurately?
  3. Can we observe the resulting citation or referral behavior?

A practical implementation checklist

Technical

  • return 200 for canonical pages;
  • keep canonical URLs stable;
  • use meaningful internal links;
  • avoid accidental crawler blocks;
  • keep content available in the initial HTML where practical;
  • add structured data only when it matches visible content;
  • expose author and date information.

Editorial

  • answer the primary question directly;
  • cover the complete decision context, not just the head keyword;
  • use descriptive headings;
  • distinguish facts from opinions;
  • cite primary sources close to important claims;
  • add original examples, frameworks, data or analysis;
  • update time-sensitive claims deliberately.

Measurement

  • track Search Console normally;
  • segment AI referral sources where observable;
  • record citation tests separately from traffic data;
  • do not confuse citation frequency with a proven ranking factor;
  • review content that earns repeated citations and identify why it is useful.

Common myths

“GEO replaces SEO”

No. If the page is technically weak, unindexable or thin, changing the acronym does not fix it.

“You need special schema for AI Overviews”

Google explicitly says no special AI-specific schema is required.

“More FAQs means better AEO”

Only if the questions are genuine and the answers improve the page. Otherwise it is just repetitive formatting.

“If an AI cites a domain often, that proves a ranking factor”

No. Citation frequency is an observation in a sample. It does not prove causation.

Executive decision summary

Treat SEO, AEO and GEO as layers of one system.

Build technical discoverability first. Then improve retrieval with coherent topic/entity coverage. Make important answers explicit. Support claims with evidence. Add original information worth citing. Finally, measure citations and referrals without pretending you can observe more than the platforms expose.

That is a more durable operating model than optimizing for the acronym of the month.

Sources

Related insights

Frequently asked questions

FAQ

What is the difference between SEO, AEO and GEO?

SEO provides the crawlability, indexability, relevance and authority foundation. AEO improves how clearly a page answers a question. GEO focuses on making content easy for generative systems to retrieve, understand, attribute and cite.

Does GEO replace SEO?

No. GEO and AEO extend a sound SEO system; they do not replace crawlability, indexability, relevance or authority.

Do AI Overviews require a special schema type?

Google says there are no special technical requirements or special schema types required specifically for AI Overviews or AI Mode.