Your customers are asking ChatGPT, Claude, and Perplexity for recommendations. Ranking on Google is no longer enough — here's how to be the business AI actually recommends.
For twenty years, search meant one thing: appear on the first page of Google. That world is quietly ending. A growing share of your customers now open an AI assistant, describe what they need in plain language, and act on the single recommendation it gives them. There's no page of ten blue links to compete on — there's an answer, and either your business is in it or it isn't.
This is a bigger shift than most businesses realise. Traditional SEO is about being findable. AI search is about being recommendable. The two overlap, but they are not the same discipline, and the businesses that treat them as identical are already becoming invisible in the conversations that matter most.
How AI decides what to recommend
Large language models don't rank pages the way a search engine does. They synthesise an answer from what they understand about a topic, drawing on their training and, increasingly, on live sources they retrieve in the moment. To be recommended, your business needs to be clearly understood — not just crawled. That means the model has to be able to extract, without ambiguity, what you do, who you serve, where you operate, and why you're a credible choice.
Google asks whether your page matches a query. An AI assistant asks whether your business is the right answer to a human's actual problem. Optimise for the second question.
Write for extraction, not just for reading
AI systems reward content that states things plainly and structures them clearly. Vague, meandering copy that dances around what you actually do is hard for a model to summarise confidently — so it won't. The practical moves that help most:
- Answer real questions directly, in the words your customers actually use, rather than in industry jargon.
- Use clear headings and structured data so machines can map the facts about your business.
- State specifics — locations, services, credentials, guarantees — as unambiguous facts, not marketing mood.
- Publish genuinely useful, authoritative content that establishes you as a source worth citing.
- Keep your business information consistent everywhere it appears online, so the model isn't guessing which version is true.
Structured data is the language machines trust
Schema markup — the structured data quietly embedded in your pages — is how you hand a machine the facts instead of hoping it infers them correctly. It tells search engines and AI systems, in a format built for them, exactly what your organisation is, what services you offer, what your customers have said, and how to reach you. It won't make weak content strong, but it removes the ambiguity that causes AI to leave confident businesses out of its answers.
Authority still compounds
The old truth survives the shift: credibility earned over time compounds. AI assistants lean toward sources that are consistently referenced, clearly authoritative, and trusted across the wider web. That means the fundamentals still matter — being genuinely good at what you do, being talked about, and being cited by others. AI search doesn't replace reputation; it reads it faster and weights it more heavily.
Don't abandon Google — extend past it
None of this means classic SEO is dead. Google still drives enormous volume, and much of what makes you visible to AI also makes you visible in traditional search. The mistake is stopping there. Treat conventional SEO as the foundation and AI discoverability as the next floor built on top of it. The businesses that win the next decade will be the ones that show up in the ten blue links and in the single spoken answer.
The window to get ahead of this is open now, while most of your competitors are still optimising only for a search experience their customers are quietly leaving behind. Be clear, be structured, be credible — and become the business AI recommends by name.