There's no ranking page to inspect and no keyword to chase. But the recommendation isn't random — it's assembled from evidence. Here's the evidence.
AI assistants recommend businesses by combining three layers of evidence: what they learned in training (your long-term reputation), what they find in live search at answer time (your current pages and citations), and structured sources like maps, directories and reviews. You influence all three the same way — a consistent, well-evidenced public record.
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When an assistant assembles a shortlist, the businesses that surface share a pattern: they're described the same way everywhere (name, category, location, specialty), they're mentioned by sources the model already trusts (industry publications, associations, high-authority directories), they have review evidence that is recent and substantial, and their own sites answer questions directly in a form a machine can lift. None of these is a trick. They're all verifiable facts about your public record.
Absence is usually an evidence problem: too few independent mentions for the model to be confident about you. Misdescription is worse — it means the evidence conflicts. An old directory listing says you're a "web design agency", your LinkedIn says "digital marketing", your site says "AI visibility" — the model averages the confusion and either hedges or skips you. The fix is the least glamorous work in marketing: making the public record agree with itself.
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Want to see where you stand right now? Run the 21-point AI visibility checklist, or read the complete AEO guide.
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