More and more, people don’t scroll a page of blue links — they ask ChatGPT, Google’s AI overview, or Perplexity and read the answer. If your business isn’t in that answer, you’re invisible, no matter how well you used to rank. Optimising to be cited by AI engines has a name — generative engine optimisation (GEO) — and it’s now as important as classic SEO.
How AI answers actually get built
When you ask an AI engine a question, it doesn’t invent the answer from thin air. It retrieves content from across the web (and increasingly, live search results), synthesises it, and cites a handful of sources. Being one of those cited sources is the new front page. The engines tend to favour content that is clear, well-structured, trustworthy, and directly answers the question.
SEO got you ranked. GEO gets you quoted.
What actually moves the needle
1. Answer the question in the first two sentences
AI engines lift concise, self-contained answers. Lead with a direct response, then expand. A paragraph that makes someone read three more to get the point won’t get quoted — a clear opening sentence will.
2. Structure for extraction
Clear headings phrased as real questions, short paragraphs, lists, and tables make it easy for a machine to pull a clean answer. The same structure that helps a skim-reader helps an AI engine.
3. Earn trust signals (E-E-A-T)
Engines weigh credibility heavily. Real authorship, demonstrated experience, specifics over vague claims, citations to credible sources, and being mentioned elsewhere on the web all push you toward being a source worth quoting.
4. Use structured data
Schema markup — FAQ, Article, Organization, Product — tells engines exactly what your content is and what your business does. It’s a major reason a page becomes machine-readable enough to cite, and it’s invisible to human visitors, so there’s no design cost.
5. Build topical authority, not one-off posts
Engines trust sources that cover a subject thoroughly. A cluster of connected, internally linked articles on one topic beats a scattering of unrelated posts. Depth signals expertise.
What GEO shares with classic SEO — and where it differs
Most SEO fundamentals still apply: fast, crawlable, well-structured pages with genuine expertise. The shift is in the goal. Classic SEO optimised for a click; GEO optimises to be the answer, clicked or not. That means writing self-contained answers, leaning harder on structure and schema, and accepting that visibility increasingly means being quoted rather than ranked first.
The uncomfortable part
AI answers sometimes mean fewer clicks — the user gets what they need without visiting you. The response isn’t to fight it; it’s to be the cited authority in your space, so the brand impression and the high-intent clicks that do come through land on you instead of a competitor. Invisible in AI answers is the far worse outcome.
The bottom line
Search is splitting into two front doors — the classic results page and the AI answer — and you need to show up at both. GEO isn’t a reinvention of SEO; it’s SEO plus clearer answers, stronger structure, real authority, and schema that makes you machine-readable.
That’s how we approach content: built to rank in search and to get cited by AI. If you want a content engine that shows up in both, let’s talk about what your buyers are actually asking.