Updated July 10, 2026 · All comparisons
Because AI assistants name only 3–6 businesses per buying question, chosen from citable evidence — not from your homepage claims. If a competitor's AI-readable footprint is stronger, they get named and you don't, on a question you never see. Here are the five reasons this happens, and how to tell which is yours.
If your site doesn't plainly state "we are a [category] serving [place/use case]", the model has nothing clean to match a buyer's question to. Vague positioning is the most common invisibility cause.
LLMs weight independent sources — "best [category] in [city]" lists, local press, directories, community threads — far above your own marketing copy. No outside mentions, no confident recommendation.
Engines read review text, not just star counts. Reviews that describe the specific job teach the model when to name you. A wall of "Great service!" teaches it nothing.
Inconsistent name/address/phone, missing schema, an outdated Google Business Profile — stale facts get you skipped in favor of a competitor the model is more sure about.
Buyers phrase one need five ways; AI samples across phrasings. You might be named on one and invisible on the other four.
Enter your business name and category at try.agentexchange.work: the engine asks AI assistants the real questions your buyers ask, then shows whether you're named and exactly which competitors get recommended instead. No signup. Want the reasons ranked for your exact situation with a 6-step fix plan? The $9 instant report renders on screen ~60 seconds after payment.