visibility insideAI answers
More and more searches end in an AI-generated answer, with no click to a website. GEO — Generative Engine Optimization — is the work of being cited inside those answers.
It is a young field, and nobody can promise a guaranteed position. What you can do is measure, structure and make your content easy to quote.
how AI tools choose their sources
Generative models rely heavily on content that is already well indexed, clear and structured. A page answering a question directly, with precise vocabulary, lends itself far better to citation than a vague text.
In practice: explicit headings, sharp definitions, FAQs, attributed data. It is as much good editorial work as technical work.
measuring your AI visibility
An AI visibility audit means querying the main tools on a brand's topics and observing whether, how and alongside whom it is mentioned.
Dedicated solutions exist to track this over time — Ahrefs Brand Radar, Profound or Peec AI among others. You can also start by hand, simply asking the questions your customers ask.
what it changes in the way I write
I now write every page with two readers in mind: the person skimming it, and the model that may summarise it. That pushes you to be more direct, to own the uncertainties and to avoid empty promises.
SEO is not replaced, though: it stays the foundation AI visibility is built on.
key takeaways
- GEO works on getting a brand cited inside generative AI answers.
- AI tools favour clear, structured content that already ranks well.
- An AI visibility audit measures whether and how a brand is mentioned.
- No guaranteed timeline: models do not update at the pace of the Google index.
frequently asked questions
a project on geo & ai ?
Audit, strategy, content production or long-term support: write to me at hello@solennstories.com and tell me about your context.