The basics: what each discipline targets
SEO (Search Engine Optimisation) targets your ranking in traditional search engine results — Google's blue links, featured snippets, local pack listings and image results. It has been the dominant digital marketing channel for over two decades.
GEO (Generative Engine Optimisation) targets your citation in AI-generated answers — the responses that ChatGPT, Gemini, Perplexity and Google AI Overviews produce when users ask questions. GEO emerged as a distinct discipline in 2023–2024 as AI search engines became mainstream.
One-line summary: SEO gets you on the first page of Google. GEO gets you cited in the AI's answer. Both matter because search is now split across two fundamentally different interfaces.
Key differences between GEO and SEO
Despite sharing foundations, GEO and SEO differ in several important ways:
Target output: SEO targets a position in a ranked list. GEO targets a citation inside a prose answer generated by an AI.
Primary signals: SEO prioritises keyword relevance, backlink quantity and quality, and click-through rate. GEO prioritises E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), structured data, content citability and AI crawler access.
User behaviour: Traditional search users click links and visit websites. AI search users often get their answer within the AI interface — but still click through for more detail, and are often higher-intent when they do.
Measurement: SEO is measured by rankings, organic traffic and SERP visibility. GEO is measured by AI citation frequency, GEO score across criteria, and brand mention rate in AI responses.
Where GEO and SEO overlap
Many optimisation signals improve both channels simultaneously — which is why the combined approach is more efficient than pursuing them separately:
- E-E-A-T signals — Google's quality rating criteria are also the primary triggers for AI citation. Strengthening author credentials, external citations and expertise signals lifts both SEO and GEO.
- Structured data / schema markup — JSON-LD schema helps Google produce rich snippets and also makes content machine-readable for AI engines. One implementation, two benefits.
- Content depth and topical authority — Comprehensive, well-structured content that thoroughly covers a topic ranks better in traditional search and is more likely to be cited by AI systems.
- Technical site health — Core Web Vitals, crawlability, and indexation are prerequisites for both traditional SEO rankings and AI engine access.
Which should you do first?
If your site has significant technical issues — poor crawlability, no indexation, major E-E-A-T gaps — fix those first, as they affect both channels equally.
If your site is technically healthy, the most efficient approach is to pursue GEO and SEO simultaneously, since so many signals are shared. Run a free GEO audit to see your current AI visibility score, and use the findings to prioritise which improvements will lift both channels most.
Doing GEO and SEO together: the combined approach
The strongest digital marketing strategy in 2026 treats GEO as a layer on top of existing SEO — not a replacement for it. Every GEO improvement should be evaluated for its SEO impact, and vice versa.
GeoLens specifically designs GEO implementations to amplify your existing SEO investment rather than compete with it. Our free audit identifies which GEO improvements will have the highest combined SEO + GEO impact for your specific site.
- SEO targets traditional rankings; GEO targets AI citations — both matter in 2026
- E-E-A-T, schema markup and content quality improve both channels simultaneously
- GEO does not replace SEO — it complements and amplifies it
- The most efficient approach is to pursue both together with a unified strategy