Generative Engine Optimisation
Generative Engine Optimisation (GEO)
When someone asks ChatGPT, Gemini, Perplexity, or Copilot a question, those tools pull from a handful of sources and cite them in the answer. Generative Engine Optimisation (GEO) is the work of becoming one of those cited sources. It is an emerging field, and no one can promise specific placements, but the signals these engines reward are clear: answer-first content, well-structured pages, original data, authority across multiple sources, and freshness. This service focuses on improving how often and how accurately AI answer engines reference your business.
What generative engine optimisation (geo) includes
- Answer-first content: restructuring key pages so the clearest answer comes first, in a form AI engines can lift and cite
- Structured data layering: combining Organization, Service, FAQ, and related schema to describe your business unambiguously
- Original data and statistics: identifying where first-hand data or examples can make your content more citable
- Multi-source authority review: how your business is mentioned and referenced beyond your own site
- Freshness and maintenance plan: keeping cited content current, since AI engines favour up-to-date sources
Who generative engine optimisation (geo) is for
Businesses that are already investing in content and want that content to surface in AI answers, not just traditional search results. Especially relevant given that organic search click-through is widely expected to decline as AI answers take a larger share of queries. If competitors are already being named in AI answers and you are not, this is where to start.
What you get
A prioritised GEO plan covering content restructuring, schema, and authority signals, with implementation where your platform allows, designed to improve how often AI answer engines cite your business accurately.
My approach
GEO starts with how AI answer engines actually choose what to cite. Research from Princeton and others suggests structured, answer-first content with clear sourcing can meaningfully lift visibility in AI-generated answers. I restructure your most important pages so the direct answer leads, followed by the supporting detail, which is the format these engines prefer to quote.
Next I strengthen the machine-readable layer with layered Schema.org markup, building on your technical SEO foundations. This overlaps with structuring content for AI visibility. GEO is the citation-focused, answer-engine-specific side of that work.
Finally, I look at authority and freshness: where your business is referenced across the web, where original data or first-hand insight could make your content more quotable, and how to keep cited pages current. This pairs with an AI search visibility audit to measure where you stand first. For agents that act on your site rather than cite it, see Agent Experience. To see your overall starting point, grab a free audit.
Frequently asked questions
Can you guarantee my business will be cited by ChatGPT or Perplexity?+
No, and anyone who guarantees that is overselling. AI answer engines are opaque and change constantly. What I can do is align your content and signals with what these engines consistently reward, like answer-first structure, clear schema, original data, authority, and freshness. That measurably improves your chances of being cited.
How is GEO different from SEO?+
SEO aims to rank your pages so people click through. GEO aims to get your content cited inside an AI-generated answer, often without a click. They share foundations like quality content, clear structure, and strong technical health, but GEO optimises specifically for being quoted by answer engines like ChatGPT, Gemini, and Perplexity.
Is it worth investing in GEO now?+
For businesses whose customers are starting to ask AI tools instead of searching Google, yes. As AI answers take a larger share of queries, being a cited source becomes a real visibility channel. And because GEO builds on good SEO, the work strengthens your traditional search presence at the same time.