Study Finds 91.5% of Top U.S. Agents Missing From 37,500 AI Searches
Updated
Updated · Inman · Aug 20
Study Finds 91.5% of Top U.S. Agents Missing From 37,500 AI Searches
1 articles · Updated · Inman · Aug 20
Summary
Local Falcon found 91.5% of established agents with websites were never named across 37,500 queries in the 100 largest U.S. cities, and only 21.2% of each market’s highest-volume agents appeared on any AI platform.
The mismatch stems from how AI search tools source answers: models often cite pages where agents label themselves the “best” in a city rather than production rankings or MLS data.
Google Business Profile supplied 36.6% of all citations, ahead of Zillow at 15.9%; Google AI Mode drew 72.5% of its citations from Business Profiles, while ChatGPT leaned heavily on Zillow.
Results were highly fragmented across platforms: 82.6% of the 3,757 named agents or teams appeared on only one platform, and just 1.9% were cited by all four platforms with agent-website links.
The findings suggest answer engine optimization is becoming critical in real estate, with local page density, maintained profiles and self-authored city pages outweighing raw sales volume in AI visibility.