SEO vs GEO vs AEO -
what's different, what overlaps, when to use each.
SEO targets Google blue links. GEO targets ChatGPT, Perplexity, Gemini and Claude. AEO targets AI Overviews, featured snippets and voice. They share fundamentals but optimise for three different surfaces - and in 2026 you almost certainly need all three. Below: clear definitions, a side-by-side comparison table and a decision framework for when to use each.
Three disciplines,
three search surfaces.
Crisp definitions you can quote in a board deck. Every term broken down by surface, planning unit, primary signal and KPI.
SEO — Search Engine Optimization
Optimising for Google's 10 blue-link results and Bing. Planned by keyword. Measured by rank, organic sessions and conversions. Core signals: backlinks, on-page relevance, technical hygiene, Core Web Vitals, content depth. Still the foundation - the majority of search sessions globally still happen on Google, and the same authority work feeds AI search surfaces.
GEO — Generative Engine Optimization
Optimising for generative AI engines: ChatGPT, ChatGPT Search, Perplexity, Gemini, Copilot, Claude. Planned by prompt. Measured by citation share across LLMs. Core signals: entity authority (Wikipedia, Wikidata, knowledge graph), source-grade content, schema, prompt-landscape coverage, Digital PR on publications LLMs train on. The fastest-growing layer of AI search.
AEO — Answer Engine Optimization
Optimising for answer engines and zero-click surfaces: Google AI Overviews, featured snippets, People Also Ask, voice assistants. Planned by question. Measured by snippet and answer ownership. Core signals: schema depth (Organization, FAQ, HowTo, QAPage), direct-answer formatting, structured Q&A, definition-led intros, conversational coverage.
SEO vs GEO vs AEO -
at a glance.
Twelve dimensions that matter when deciding where to invest. Use it to brief your team, your CFO or your agency shortlist.
| Dimension | SEO | GEO | AEO |
|---|---|---|---|
| Full name | Search Engine Optimization | Generative Engine Optimization | Answer Engine Optimization |
| Primary surface | Google 10 blue links | ChatGPT, Perplexity, Gemini, Claude, Copilot | AI Overviews, featured snippets, PAA, voice |
| Unit of planning | Keyword | Prompt | Question / direct query |
| Primary signal | Backlinks + on-page | Entity authority + citation share | Schema + direct-answer formatting |
| Content format | Long-form, keyword-led | Source-grade, fact-dense, citable | Answer-first, scannable, structured |
| Schema priority | Article, Product, Org (baseline) | Org + Article + Person (entity) | FAQ + HowTo + QAPage (extraction) |
| Primary KPI | Rank + organic sessions | Citation share + AI referral | Snippet + answer ownership |
| Time to first impact | 3–6 months | 30–90 days (Perplexity faster) | 30–60 days |
| Click pattern | Direct click to site | Citation → optional click | Often zero-click answer |
| Best for | Transactional intent in Google | B2B research, comparison, ChatGPT/Perplexity intent | Quick-answer queries, voice, local |
| Risk of decline | AI Overviews eroding CTR | Engine retrieval changes (model updates) | Snippet collapse into AI Overviews |
| Compounds with the others? |
When to use SEO, GEO,
AEO - or all three.
Four scenarios that map to most B2B, SaaS, ecommerce, healthcare and local services categories in 2026.
Use SEO when…
Buyers in your category still convert primarily through Google blue-link clicks - transactional intent, branded queries, local services, ecommerce category pages. SEO remains the highest-volume surface for most categories.
Use AEO when…
Your buyers ask discrete, answerable questions ("how to…", "what is…", "best…for") that land on AI Overviews, featured snippets, PAA or voice. AEO wins quick-answer intent and zero-click surfaces - the fastest path to visibility in 30-60 days.
Use GEO when…
Buyers are researching solutions inside ChatGPT, Perplexity, Gemini or Claude rather than Google - especially B2B SaaS, professional services, fintech, healthcare and complex DTC. GEO compounds slower (4-9 months) but builds the deepest long-term moat.
Run all three when…
You sell into a category where buyers split across Google, AI Overviews and standalone LLMs - which is now almost every category above SMB scale. One unified GEO + AEO + SEO programme so the same content compounds across every surface.
For most growth-stage brands above SMB scale, the right answer is all three - SEO, GEO and AEO run as one programme - because the same source-grade content and authority work compounds across every surface. See how we structure that at AI search optimization.
Real answers,
indexed for AI.
Structured as FAQ schema so this page itself feeds answer engines. Don't see your question? Send it via the contact form.
SEO (Search Engine Optimization) targets Google's 10 blue-link results - planned by keyword, measured by rank and organic sessions. GEO (Generative Engine Optimization) targets generative AI engines like ChatGPT, Perplexity, Gemini and Claude - planned by prompt, measured by citation share. AEO (Answer Engine Optimization) targets answer engines and zero-click surfaces like Google AI Overviews, featured snippets, People Also Ask and voice - planned by question, measured by snippet and answer ownership. The three are complementary, not alternatives.
No. GEO targets generative AI engines that synthesise multi-source answers (ChatGPT, Perplexity, Gemini, Claude) - weighting entity authority, source-grade content and prompt coverage. AEO targets answer engines that extract a single best answer (AI Overviews, featured snippets, voice, PAA) - weighting schema, direct-answer formatting and structured Q&A. They share many fundamentals but optimise for different retrieval mechanics.
Yes. Google still drives the majority of search sessions globally, and the same authority, content depth and technical hygiene that lift Google rankings also lift AI citations. SEO is now a foundation layer of any AI search programme - traditional Google + AI Overviews + standalone LLMs all reward the same underlying signals.
Run all three together if you can. If you must sequence: start with SEO foundations (technical hygiene, schema, content depth) because they feed every surface. Layer AEO next (it ships faster, 30-60 days) for AI Overviews and featured snippets. Layer GEO last - it compounds over 4-9 months but delivers the biggest long-term moat as LLM share grows.
Wrong question. They target different surfaces: SEO for Google blue links, AEO for zero-click answer surfaces, GEO for standalone LLMs. Importance depends on where your buyers actually search. B2B SaaS buyers increasingly use ChatGPT and Perplexity - GEO matters more. Local services buyers still rely on Google Maps - SEO and AEO matter more. An AI visibility audit shows you the actual mix.
GEO weights entity authority (Wikipedia, Wikidata, knowledge graph), prompt-landscape coverage, source-grade citable content and cross-LLM citation tracking. AEO weights schema depth (Organization, FAQ, HowTo, Article, Product), direct-answer formatting, structured Q&A and conversational coverage. SEO weights backlinks, on-page keywords, crawl and technical hygiene. The overlap is real - but the planning units and KPIs differ.
Often yes. Well-structured, definition-led, source-grade content with deep schema can rank on Google, get extracted into AI Overviews and get cited inside ChatGPT and Perplexity simultaneously. The key is content architecture: clear definitions, structured Q&A, comparison tables, original data, conversational coverage - all things that compound across surfaces.
No - they extend it. AI Overviews are on 58%+ of Google queries but the click still goes somewhere; ChatGPT and Perplexity capture research intent but Google still owns transactional intent in many categories. The smart play is GEO + AEO + SEO as one programme so you're visible regardless of which surface a buyer chooses.
SEO: keyword rankings, organic sessions, indexation, Core Web Vitals. AEO: snippet ownership, AI Overview citations, People Also Ask coverage, voice ownership. GEO: citation share per prompt per engine, share-of-voice vs competitors, AI-referral traffic. We ship one unified dashboard so you can audit all three surfaces in one view.
Hire an agency that runs all three. AI search is no longer a separate discipline - the same authority work, content engineering, schema deployment and Digital PR feeds every surface. Hiring three separate agencies fragments your authority signals and burns budget. One programme, three surfaces, one KPI dashboard.
SEO fundamentals first - crawl, indexation, site speed, schema - because both GEO and AEO depend on them. Layer AEO next (answer-first content and FAQ schema) since it produces visible wins fastest. GEO compounds on top over months as entity signals and citations build up.
Often yes, but not always. Pages that rank well in Google usually have the crawlability and authority LLMs also reward. But LLM citations require answer-first structure and clean entity language - a page can rank #1 and still not get quoted.
Google still dwarfs LLM traffic volume for now, but LLM-influenced buyers convert at 2-4x the rate because they arrive pre-qualified. The right question isn't 'which channel' - it's 'am I present in both when buyers switch mid-journey'.
No. One well-structured page (answer-first, entity-clear, schema-marked, cited on trusted sites) serves Google, ChatGPT, Perplexity and Gemini simultaneously. Duplicating content per engine is a waste.
Pair this with the rest of the stack.
Growth compounds when SEO, GEO/AEO, PPC and lifecycle work together. Explore closely related services.
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See where you stand on every surface.
One report covering your Google rankings, AI Overview ownership and citation share inside ChatGPT, Perplexity and Gemini - benchmarked against your top 3 competitors.