Generative Engine Optimization (GEO) is the practice of making your brand and content visible in AI-generated answers — Google AI Overviews, ChatGPT, Perplexity, Gemini and Copilot. Where classic SEO earns you a ranking in a list of links, GEO earns you a mention or citation inside the answer itself. With AI Overviews now appearing on roughly half of Google searches, that answer box is the new first page.
Why GEO matters right now
Buyer behaviour has shifted fast: industry surveys in 2026 report that around 79% of B2B buyers use AI-driven tools somewhere in their research, and AI answers routinely satisfy a query before any website is visited. The brands named inside those answers inherit the click, the trust and the shortlist spot. The good news: the field is young, and early movers are winning citations that would take years to earn in classic rankings.
How AI engines choose who to cite
- Clear, extractable content — direct answers, FAQs, structured headings that a machine can lift cleanly.
- Structured data — schema markup that tells engines exactly what your business, services and articles are.
- Entity strength — a consistent, well-documented identity across the web, the same foundation behind a Google Knowledge Panel.
- Third-party trust — mentions in publications and directories AI systems already rely on; this is where press coverage pulls double duty.
- Statistics and specifics — research shows content with concrete numbers and cited sources earns up to 40% more AI visibility.
GEO and SEO: better together
GEO is not a replacement for SEO — it is built on top of it. The same clean site structure, fast pages and quality content that rank in classic search are what AI engines retrieve; GEO adds the layer of extractable answers, schema, entity work and machine-readable files (like an llms.txt) that turn retrieval into citation. Brands investing in both compound the same effort twice: every article works in the link results today and in the AI answer tomorrow.
How to start with GEO
- Audit your AI visibility — ask ChatGPT and Perplexity your key buyer questions and note who gets named.
- Structure for extraction — lead sections with direct answers, add FAQs, use headings that match real questions.
- Add schema everywhere — Organization, Service, Article and FAQ markup make your facts machine-readable.
- Strengthen your entity — consistent name, role and description across every profile and publication.
- Earn trusted mentions — coverage in real publications is the strongest citation signal of all.
We run this exact stack — from schema and content structure to earned coverage and entity building — so your brand shows up wherever your customers ask.
Frequently asked questions
Is GEO different from AEO or LLM optimization?
The names overlap — GEO, AEO (answer engine optimization) and LLMO all describe optimising for AI-generated answers. The techniques are the same: extractable content, structured data, entity strength and trusted mentions.
Does GEO work for small businesses?
Yes — often better than classic SEO does, because AI engines pick sources by clarity and trust rather than domain size alone. A well-structured small site with genuine coverage can be cited alongside much larger brands.
How do I measure GEO results?
Ask the engines your key buyer questions monthly and record who gets named; several tools now track AI citations automatically. Alongside that, watch branded search impressions in Search Console — AI mentions drive people to look you up.
How fast does GEO show results?
Structural improvements (schema, FAQs, direct answers) can be picked up within weeks as engines re-crawl. Entity and coverage signals build over months — the same timeline as the trust they represent.
Want to be the brand AI answers mention?
We will audit how AI systems currently see your brand and build the signals they cite.