Fewer and fewer people read ten blue links. They ask a model. When someone asks ChatGPT, Gemini or Perplexity who you are, the answer they get is becoming the first impression that matters. AI visibility is the work of making that answer accurate.
What AI visibility means
AI visibility is how you are represented inside the answers generated by large language models and answer engines, rather than in a traditional list of search results.
These systems do not just rank pages; they read sources and compose a description. If the sources they trust are thin, outdated or wrong, the answer about you will be too, stated with total confidence.
Why this is the new front page
Answer engines compress everything about you into a few sentences, and most users never check where those sentences came from. A single confident error can shape a hiring decision, an investment or a first meeting.
Unlike a bad search result, an AI answer is hard even to see, because every user may get slightly different wording. You cannot fix what you are not monitoring.
How it connects to SEO and sources
AI visibility is not separate from the open web; it is built on it. Models read the same high-authority sources that drive search, so the advantages compound:
- Accurate, well-structured sources improve both your search results and your AI answers.
- A correct Wikipedia and Wikidata entity is one of the strongest signals a model can read.
- Consistent facts across the web reduce the contradictions that make models hedge or invent.
How we work
We test what the major models currently say about you, trace each claim back to the sources that produced it, and then strengthen or correct those sources.
Then we keep testing, because models update. AI visibility is a monitoring discipline, not a one-time fix.