We Analyzed 500 Local Business AI Visibility Scores. Here Is What We Found.

Why competitor analysis matters in AI search

Traditional search has room for many businesses on a results page. AI answers do not. When an engine names only a few businesses, your visibility is relative: to win a slot, someone else has to be doing less well than you on the signals that matter.

Studying the competitors who already get recommended turns a vague goal into a concrete target. You can see what "winning" looks like in your specific market and reverse-engineer it.

What to look for in a competitor's AI presence

When a competitor consistently gets recommended, look at the signals AI engines weigh most.

Directory footprint. Are they on Foursquare, Google, Yelp, and Apple Maps with complete, consistent details? Reviews. How many, how recent, how well-managed? Website and schema. Are their pages clear and structured, with schema markup? Mentions. Do local articles, directories, and partner sites reference them? These are the same signals that decide whether you get named.

How to run the analysis yourself

You can get a useful picture with a methodical approach.

How to close the gap

Most gaps come down to the fundamentals: claim and complete the directories your competitors are on, match your business information everywhere, add the schema they have and you lack, and build the reviews and mentions that signal credibility. Because AI visibility compounds, closing the gap is not a one-time fix; the businesses that maintain these signals tend to hold the recommendations they earn.