Pillar · Generative Engine Optimization
GEO (Generative Engine Optimization) and SEO (Search Engine Optimization) share the same starting point — making a brand findable — but they target different surfaces, optimise for different signals, and report different KPIs. This page is the canonical comparison.
SEO optimises for the ranked list of links on a search results page. GEO optimises for the synthesised answer produced by a generative AI engine. Most well-built websites already cover the SEO basics; very few are explicitly tuned for GEO, which is why measuring it has become its own category.
The practice of optimising a brand's web presence so that generative AI engines (ChatGPT, Gemini, Perplexity, Claude.ai, AI Overviews, etc.) cite, mention or recommend it when answering user questions. Success is measured in brand recall, share of voice and citation sentiment inside AI responses.
The practice of optimising a website so that traditional search engines (Google, Bing) rank its pages high in the results page for relevant queries. Success is measured in keyword rankings, organic clicks and impressions on a SERP.
Same brand, two different optimisation jobs. The columns below mirror how a content or growth team would actually plan against each.
Both reward clarity. A page with explicit factual statements, structured data and authoritative outbound citations performs well in classic SERPs and is also more likely to be cited by an AI engine. Most GEO interventions are SEO improvements too — the inverse is less true, because SEO can win with link signals that AI engines do not value the same way.
SEO is a ranking problem inside one engine's index. GEO is an inclusion problem across several models, each with its own training data and grounding behaviour. Optimising for an AI answer requires explicit, citable phrasing your competitors don't already have, plus presence on the third-party pages those engines fetch when grounding (Wikipedia, industry directories, comparison sites, review platforms). Backlink-heavy SEO playbooks alone won't move these levers.
Yes. SEO still drives the bulk of qualified traffic for most categories; GEO drives an increasing share of the early research stage where buyers ask AI before opening Google. Treating them as separate disciplines with shared infrastructure (one content team, two measurement surfaces) is what most modern marketing teams converge on.