Quick answer
SEO optimises for ranking in a list of links; AEO (Answer Engine Optimisation) optimises for being the extracted answer in search features like featured snippets and voice results; GEO (Generative Engine Optimisation) optimises for being cited inside AI answers from ChatGPT, Perplexity, and Google AI Overviews. They share one foundation — clear definitional content, FAQ schema, cited data, and clean structure — so the right strategy is to build that foundation once and capture all three surfaces, weighting effort toward GEO as more queries move into AI assistants.
The three approaches side by side
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| Optimises for | Ranking in a list of links | Being the extracted answer in a search feature | Being cited in an AI-generated answer |
| Typical surface | Standard search results | Featured snippets, PAA, voice | ChatGPT, Perplexity, AI Overviews |
| Key signals | Authority, links, relevance | Concise structured answers, schema | Definitional clarity, cited data, llms.txt |
| Success metric | Position, organic CTR | Snippet ownership, voice share | AI mention & citation rate |
| Click behaviour | User clicks through | Often answered in-place | Often no click at all |
Where they overlap — and why that is good news
The encouraging reality is that AEO and GEO are roughly 80% the same work, built on top of solid SEO fundamentals. All three reward a page that loads fast, is crawlable and indexed, answers a real question in plain language, uses structured headings and FAQ schema, and backs claims with cited data. That means you do not run three separate programmes — you build one excellent, well-structured page and it becomes eligible to rank, win a snippet, and be cited by an AI assistant at the same time.
What is genuinely different about GEO
GEO adds a few signals that classic SEO and AEO did not emphasise: an llms.txt content map for AI crawlers, a stronger freshness cadence (AI answers heavily favour recent content), and credibility cues like primary-source links and clearly identified authorship that make a model comfortable citing you. It also changes how you measure success — from clicks to citations — because AI answers frequently produce no click at all. For the full GEO playbook, see our GEO strategy guide.
How to prioritise in 2026
The practical sequence is: first, fix SEO fundamentals so every page is crawlable, indexed (in both Google and Bing), fast, and structured — this is the shared foundation. Second, layer AEO and GEO formatting onto your top commercial pages at the same time, since the work is nearly identical: definitional openings, FAQ schema, cited data, JSON-LD. Third, add the GEO-specific signals — llms.txt, freshness cadence, and AI-citation tracking. Weight ongoing effort toward GEO over time, because the share of queries answered by AI assistants is growing and that is where the click — or the consideration — increasingly happens.
Putting it into practice
GeraReach treats AEO, SEO, and GEO as one integrated discipline across the Gera Systems portfolio: it ships the shared foundation, layers in answer- and AI-optimised content, and tracks rankings, snippet ownership, and AI citation rates together. To go deeper, read the getting-found-by-AI guide and the AI marketing channels guide. The same approach drives visibility for products such as GeraClinic and GeraMarket.
Frequently asked questions
What is AEO (Answer Engine Optimisation)?
AEO is the practice of optimising content to be the direct answer to a question — in featured snippets, voice-assistant responses, and "people also ask" boxes. It focuses on concise, factual, well-structured answers that engines can lift verbatim. AEO predates generative AI and overlaps heavily with GEO, but its classic home is structured answer features in traditional search results.
What is the difference between AEO, SEO, and GEO?
SEO optimises for ranking position in a list of links. AEO optimises for being the extracted answer in a search feature like a featured snippet or voice result. GEO (Generative Engine Optimisation) optimises for being cited inside an AI-generated answer from systems like ChatGPT and Perplexity. They share foundations — clear answers, structure, and credibility — but differ in the surface they target and how success is measured.
Which should I prioritise in 2026 — AEO, SEO, or GEO?
Do not choose one; sequence them on a shared foundation. Strong SEO fundamentals (crawlable, indexed, fast, structured pages) feed both AEO and GEO. On top of that foundation, AEO and GEO are largely the same work: definitional answers, FAQ formatting, schema, and cited data. The practical answer is to build the foundation once and capture all three surfaces, then weight effort toward GEO as more queries move into AI assistants.
Does optimising for AEO/GEO hurt my traditional SEO?
No — the techniques are complementary. Clear definitional content, FAQ schema, cited statistics, and clean semantic HTML improve traditional rankings while also making you eligible for answer features and AI citations. There is no trade-off; the same well-structured page can rank, win a snippet, and be cited by an AI assistant simultaneously.
How do I measure AEO and GEO success separately from SEO?
SEO is measured by ranking position and organic clicks. AEO is measured by featured-snippet ownership, "people also ask" presence, and voice-answer share. GEO is measured by AI mention rate, citation rate, and citation position across ChatGPT, Perplexity, and Google AI Overviews. Track all three so you can see which surface is actually delivering visibility as the mix shifts.
Win search and AI at the same time
GeraReach runs SEO, AEO, and GEO as one programme across all 20 acquisition channels.