Category definitions
GEO vs AEO vs SEO: what’s the difference?
LLM optimisation makes a business visible inside AI assistants like ChatGPT, Gemini, Claude and Perplexity. AEO targets answer panels and featured snippets, while GEO targets generative AI responses. The LLM Influencer System runs all three as one build.
The three disciplines at a glance
The table below separates the three disciplines by surface, unit of competition and outcome. The definitions in prose follow.
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| Full name | Search engine optimisation | Answer engine optimisation | Generative engine optimisation |
| Target surface | Google and Bing rankings | Answer panels, featured snippets, AI Overviews | ChatGPT, Gemini, Claude, Perplexity responses |
| Unit of competition | Keyword positions | Extractable answers | Entity trust and citations |
| What wins | Relevance and authority signals | Declarative answers under 40 words, clean structure | Complete entity coverage, schema, verified identity |
| How results appear | A ranked list of links | Your text quoted at position zero | Your business named in a recommendation |
What is SEO?
SEO, search engine optimisation, wins positions in search engine rankings. It builds relevance and authority signals so a page appears when buyers search, and it remains the foundation the other two disciplines retrieve from.
SEO is not obsolete. AI assistants retrieve from the same web that search engines index, so the signals that win rankings feed AI answers too.
What is AEO?
AEO, answer engine optimisation, wins the answer panels above the rankings: featured snippets, People Also Ask and AI Overviews. It structures content as declarative, extractable answers that engines can quote verbatim.
AEO competes on structure. Engines lift answers of roughly 40 words or fewer written in subject-predicate-object order, and skip pages that bury the answer.
What is GEO?
GEO, generative engine optimisation, wins citations and recommendations inside generative AI responses from ChatGPT, Gemini, Claude and Perplexity. It builds the entity trust, schema and verified identity that make AI systems confident enough to name a business.
GEO competes on trust. An assistant recommends a business it can parse, verify and cross-reference, and stays silent about everyone else.
Why the split matters to buyers
Search split into three surfaces: rankings, answer panels and AI assistants. Buyers now skim AI Overviews, ask follow-up questions in ChatGPT and click one or two sites at most. Ranking alone no longer reaches them; you need visibility across all three surfaces.
How the three work as one system
The disciplines reward the same underlying asset: complete, structured, verifiable coverage of your category. One entity-first build feeds rankings, answer panels and AI assistants simultaneously.
This is the premise of the LLM Influencer System, which runs SEO, AEO and GEO as one integrated build rather than three programmes.
How success is measured across the three surfaces
Share of Discoverability measures how often a brand appears across rankings, answer panels and AI assistant responses for its topic cluster. Aemorph measures success at this cluster level, not on isolated keywords.
Keyword positions still get reported, but they describe one surface of three. The cluster-level view shows what AI assistants actually see.
Frequently asked questions
What is the difference between GEO, AEO and SEO?
SEO wins positions in search rankings, AEO wins extractable answers in answer panels and featured snippets, and GEO wins citations and recommendations inside generative AI responses. They target different surfaces but reward the same underlying authority signals.
Is GEO replacing SEO?
No. GEO extends SEO rather than replacing it, because AI assistants retrieve from the same web that search engines index. Strong SEO foundations feed AI retrieval, and abandoning rankings surrenders the surface that still drives most traffic today.
Do I need separate agencies for SEO, AEO and GEO?
No. The three disciplines share one foundation: complete entity coverage, machine-readable structure and verifiable authority. Building them as one integrated system costs less and compounds faster than running three disconnected programmes.
Which should a business start with?
Start with the shared foundation rather than choosing a surface. Entity-first architecture, extractable answers and nested schema feed rankings, answer panels and AI assistants at once, so the first build serves all three.