AI Visibility.

• Retrieval

  Whether an answer engine can find and select your content when it assembles a response. If your pages are not retrievable, nothing downstream matters.

• Citation

  Whether the model attributes the claim to your brand with a link or named mention. Citations are how AI answers transfer trust — and traffic — back to a source.

• Representation

  Whether the description the model generates about you is accurate, current, and favorable. Being mentioned incorrectly can be worse than not being mentioned at all.

Related concepts

• Generative Engine Optimization (GEO)→The practice that produces AI Visibility.
• Answer Engine Optimization (AEO)→The answer-focused slice — winning the direct-answer slot.
• Generative Engine Friendly (GEF)→The page property that earns retrieval and citation, scored 0–100.

What is AI Visibility?

AI Visibility is the degree to which a brand is retrieved, cited, and accurately represented in answers generated by AI systems such as ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. It measures three things at once: whether the model can find your content, whether it cites you as a source, and whether the description it produces is accurate and favorable.

How is AI Visibility different from SEO rankings?

Traditional SEO optimizes for position in a ranked list of blue links that a person then clicks. AI Visibility optimizes for inclusion inside a synthesized answer — there is no list to rank in. The unit of success shifts from a ranking position to a citation, and from a click to an accurate mention. Content can rank well in classic search and still be invisible to answer engines.

Can AI Visibility be measured?

Yes. Prime Sentia measures it by running representative prompts across multiple answer engines, recording whether your brand is retrieved, whether it is cited with attribution, and how accurately it is represented, then scoring citation-readiness signals on the underlying pages. The result is a baseline you can track over time.