What did the audit find?
Eight of eighty, and zero of twenty-four in the city the business actually operates in. That’s the AI-visibility score for a landscaping company with more than two decades in business, an active state contractor license, and real customer reviews — a business with every credential a buyer would want confirmed before hiring someone to work on their property. None of it moved the needle. Across the full twenty-question, four-engine test, the business was named in only eight of eighty scored answers. Narrow the question to the city where it actually operates — where its crews work, where a buyer would most expect it to be top of mind — and the count drops to zero of twenty-four. Three hundred and sixty-one distinct competitors were named across the same set of answers. Not one dominant rival the business repeatedly lost to — a field. The engines had plenty to say about this market. They just had nothing to say about this particular business.
Where did every cited fact about the business come from?
A directory. Every time an engine cited a source for something it said about this business — its reputation, its service area, whether it was worth calling — that source was a third-party directory listing, never the business’s own website. The site exists, describes the work in detail, and states the license and service area in plain language. None of it showed up as a citation, not once across eighty scored answers. That’s the mechanism behind the score: an AI engine can only quote what it trusts enough to read closely, and a business’s own site earns that trust the same way any other source does — by being substantial, current, and worth citing. A thin or generic site gets skipped in favor of a directory listing that says less but is easier for the engine to lean on. The reputation was real. The engines just never heard it from the one source that should have carried the most weight.
What’s the difference between reputation and representation?
Reputation is what people already say about a business — reviews, a license, years in the field. Representation is whether the business has told its own story anywhere an AI engine actually reads. This business had the first in abundance and almost none of the second, and the gap between them is exactly what a citation-graph diagnosis is built to find: not “does this business deserve to be recommended,” which isn’t a question we answer, but “has this business given engines anything of its own to cite when they try.” AI has heard of this business. It’s never heard from it. That’s a fixable diagnosis, not a verdict — see what a full audit actually checks, and read what determines whether an engine cites a business in the first place.