local
19/20 completed. Website avg 83.7. Reddit 5%, YouTube 100%, Wiki/Wikidata 53%, reviews 0%.
We reran the same 60-business sample with a tougher GEO lens. The websites did not suddenly get worse. The new score asks whether AI can verify each business across Reddit, YouTube, Wikipedia, Wikidata, reviews, directories, publishers, and public proof surfaces.
businesses checked
completed live evidence checks
best category average (national)
largest opportunity (local)
Think of an AI assistant like a cautious teenager doing homework. It does not just believe what one website says. It looks for proof in other places. If the website, reviews, videos, community discussions, directories, and knowledge bases all tell the same story, the business is easier to trust and recommend.
19/20 completed. Website avg 83.7. Reddit 5%, YouTube 100%, Wiki/Wikidata 53%, reviews 0%.
16/20 completed. Website avg 75.8. Reddit 6%, YouTube 100%, Wiki/Wikidata 100%, reviews 31%.
19/20 completed. Website avg 92.1. Reddit 11%, YouTube 100%, Wiki/Wikidata 100%, reviews 5%.
The pattern is easy to understand: many businesses have websites, but fewer have enough independent evidence that AI can use to verify them.
What this means: AI visibility is not only an SEO problem. It is also a proof problem. If customers, reviewers, communities, directories, and publishers are not confirming your business, AI has less to work with.
| Business | Prompt | Competitor appeared | Main citation gap |
|---|
First, make the website clear. Then give AI places to verify you. Link official profiles, build review/category proof, publish useful videos, keep entity facts consistent, and create a crawlable proof hub that points to the best external evidence.
That turns "please trust our website" into "here is the same business confirmed across the web."
Use these files for content, sales research, and historical comparison.