You can't buy your way into an AI answer, and you can't game it with keyword stuffing. Generative engines cite sources they've learned to trust and can cleanly extract. Here's how to become one of them.
1. Nail down your entity
Before AI can recommend you, it has to understand exactly what you are. Describe your business, your category, and your differentiators the same clear way everywhere online. Ambiguity gets you left out of the answer entirely.
2. Publish extractable, quotable content
Models lift clean, self-contained statements. Lead every page with a direct answer, define terms plainly, and pack in specifics — numbers, steps, comparisons — that a machine can quote without needing the surrounding paragraph.
3. Earn mentions where AI actually reads
Generative engines pull from the wider web, not just your site. Reviews, Reddit threads, YouTube, industry publications, and roundup articles are prime retrieval sources. Being talked about in those places is often worth more than another blog post on your own domain.
On your website you control the message. In the AI answer, the web's consensus about you is the message. Go shape it.
4. Mark everything up
Schema for your organisation, products, FAQs, and authors turns your pages into structured, machine-readable facts. Clean data is easier to trust and easier to cite.
5. Stay fresh and consistent
- Update your cornerstone content so it reflects the current year — stale pages get quietly dropped.
- Keep your facts identical across every profile and mention; contradictions erode the confidence a model needs to name you.
- Feed the engines proof — named results, real data, and credentials give the AI concrete, favourable things to repeat.
Do this consistently and you stop hoping the AI mentions you. You engineer it.