What Is the Difference Between SEO, AEO, and GEO, and How Do They Fit Together?

What are SEO, AEO and GEO?

In practice the three overlap heavily and many people use AEO and GEO interchangeably.

What do GEO, AEO, LLMO, GAIO and AISEO mean?

The labels differ more than the work. When a vendor or job advert uses one, ask what they actually do and measure.

What does AIO mean in SEO: AI Overviews or AI optimization?

Both, which causes confusion. "AIO" is often shorthand for Google's AI Overviews, as in "we lost clicks to AIOs". It is also used for "AI optimization", a broad label for optimising content for AI systems. Read the context: if it refers to a feature on Google's results page, it means AI Overviews; if it describes a service or discipline, it usually means AI optimization.

What is the difference between AEO and GEO?

AEO grew out of featured snippets and voice assistants, where a single source supplied a single answer. Its focus is formatting content so it can be lifted as the answer: concise definitions, lists, question-and-answer structure.

GEO grew out of generative engines that write answers from several sources and often name several businesses. Its focus is wider: being one of the sources, being named and described correctly, and being recommended, across several different engines.

The content habits overlap almost completely. The difference is mostly in scope and measurement.

What is the difference between SEO and GEO in the AI search era?

• Output: SEO targets a list of links; GEO targets a written answer that may never produce a click.
• Engines: SEO focuses on Google and Bing; GEO also covers ChatGPT, Perplexity, Claude and Gemini, which use their own search set-ups.
• Sources: SEO focuses on your pages and links; GEO also focuses on the reviews, lists and directories that answers cite.
• Accuracy: SEO rarely monitors what is said about you; GEO checks answers for wrong facts.
• Measurement: SEO tracks rank positions; GEO samples answers repeatedly because they change between runs.

Is GEO a real discipline, or just SEO with a new name?

Partly both. For Google's own AI features, Google says optimising for generative AI search is still SEO, because those features rest on its core ranking and quality systems. Much of what is sold as GEO is standard SEO: technical health, useful content, authority.

But a few parts are genuinely new, or at least newly important:

• measuring visibility across several AI engines by sampling answers;
• managing accuracy of what engines say about a business;
• targeting the third-party pages that AI answers cite for recommendations;
• checking access for AI companies' own crawlers;
• attributing influence that produces no click.

An example makes the difference concrete. A software company with strong rankings may discover, only by sampling AI answers, that ChatGPT describes its product with a pricing model it dropped two years ago, citing an old comparison article. No rank tracker or traffic report would surface that. Finding it, tracing it to the source and getting the article updated is GEO work that classic SEO routines do not include.

A fair summary: GEO is SEO plus a set of new measurements and priorities, not a separate science.

Is there really 80% overlap between traditional SEO and GEO?

The "80%" figure is a rule of thumb, not a measured result. How much overlap you see depends on your business:

• High overlap for sites whose visibility depends mainly on Google, where AI Overviews lean on Google's rankings.
• Lower overlap for businesses whose buyers use ChatGPT or Perplexity heavily, or whose recommendations depend on third-party lists and reviews.

A better question than "how much overlap?" is "which GEO tasks are not already in our SEO work?". Usually the answer is: AI answer tracking, accuracy checks, citation-source outreach and AI crawler access.

Is AI visibility a new layer of SEO or a separate channel?

A layer in the work, and a separate line in the reporting. The work shares the same team, pages and foundations, so treating it as a layer avoids duplication. The measurement is different: AI answers need their own tracking, and their business effects show up as branded searches and self-reported discovery rather than organic clicks. Report it alongside SEO, not merged into it. For measurement, see how to measure success in GEO compared with SEO.

What does GEO add beyond SEO to earn citations in ChatGPT and Perplexity?

• Allowing their crawlers, such as OpenAI's search crawler and PerplexityBot, which many sites block without knowing.
• Pages that answer specific questions in the first sentences, with facts that can be quoted.
• Presence on the sources these engines cite, which often sit outside Google's top results.
• Original information such as data, examples and first-hand experience that other pages lack.
• Checking citations directly, since these engines show their sources, and adjusting based on what they use.

What skills and tactics does GEO require that SEO does not?

• Answer sampling and basic statistics: running questions repeatedly and reading results as rates with ranges.
• Source analysis: reading citation logs and understanding why a page was chosen.
• Digital PR and outreach aimed at the specific sources engines cite.
• Entity and accuracy management: keeping facts consistent everywhere and correcting errors at their source.
• Understanding several engines, each with different crawlers, indexes and behaviours.

Many SEO specialists already have some of these; the gap is usually in answer sampling and accuracy management. Both can be learned quickly by running a small tracking project: 20 buyer questions, three engines, five runs each, logged and reviewed by hand for a month. That single exercise teaches most of what is different about AI answers.

Why is AI search optimization harder than traditional SEO?

• No stable output. Answers change between runs, so there is no fixed position to track.
• Little first-party data. Google and Microsoft now report some AI impressions and citations for your own pages, but no engine shares the questions asked or what the answers said.
• Several engines. Each works differently, so one fix may help one engine and not another.
• Recommendations depend on others. Third-party sources you do not control carry great weight.
• Slow memory. Facts in a model's training data change only with new model releases.

What changes when you switch from traditional SEO to AI visibility optimization?

• Targets: from keywords to buyer questions and needs.
• Reports: from rank positions to answer shares, accuracy and cited sources.
• Content: from pages that rank for a term to pages that answer specific questions early and completely.
• Off-site work: from link counts to presence and accurate description on cited sources.
• Time frames: early signals within weeks, broader recommendation changes over months.

How do SEO, AEO and GEO fit together in one plan?

Think of them as three layers built on each other:

Each layer depends on the one below. Answer-ready content is wasted if pages are not indexed; AI answer tracking is of little use if the pages it points to do not answer anything clearly. Most teams get the best return by fixing the foundation, making answer formatting a standard part of writing, and then adding the generative layer's measurement and outreach.

What does the same page look like through each lens?

Take a pricing page for a software product:

• SEO lens: is it indexed, fast, linked from the main navigation, and ranking for "[product] pricing"?
• AEO lens: does it open with a plain statement of the price, with a table of plans that can be quoted, and short answers to "is there a free plan?" and "what does each extra user cost?"?
• GEO lens: can OpenAI's and Perplexity's crawlers read it; do AI answers state your price correctly; and do the comparison sites they cite show the same figures?

The page is the same; the questions asked of it widen with each layer.

How should budget be split between SEO and GEO?

There is no standard split, but a few patterns help:

• Businesses that depend mainly on Google should keep most effort on SEO and answer-ready content, with light AI answer tracking.
• Businesses whose buyers research with AI assistants, such as B2B software, professional services and many ecommerce categories, should add regular answer tracking, accuracy work and outreach to cited sources.
• Local businesses get most value from listings, reviews and clear service pages, which serve all three layers at once.

Start the generative layer with measurement. A few weeks of answer tracking shows where the gaps are and how much effort they deserve.

What does "AI SEO" mean, and how do you optimize to appear in AI answers?

"AI SEO" usually means optimising to appear in AI search features and assistants, though some use it for SEO done with AI tools. To appear in AI answers:

1. make sure search and AI crawlers can reach and read your key pages;
2. answer the specific questions buyers ask, directly and with specifics;
3. keep your facts consistent across your site and listings;
4. earn presence on the reviews, lists and directories engines cite;
5. check what engines say about you, and correct errors at their source.

What do people ask about SEO, AEO and GEO?

Should I hire separate people for SEO and GEO?

Usually not at first. Add GEO tasks and measurement to an existing SEO role or team, and specialise later if AI search becomes a major channel for you.

Which should a small business prioritise?

SEO foundations first, especially local listings and clear service pages, then GEO checks on the questions customers ask AI.

Is AEO outdated now that GEO exists?

No. The answer-first habits of AEO are central to GEO. The labels overlap more than they compete.

Will GEO replace SEO?

Not in the foreseeable future. Many AI answers rely on search results, and classic search remains widely used. See whether GEO will replace SEO or they will coexist.

Do AEO and GEO need different content?

Mostly no. The same page can serve both if it answers questions directly and specifically. GEO adds work outside the page: tracking answers, correcting sources and earning presence on the sites engines cite.