You don’t have a ranking problem. You have a facts problem.
AI names the businesses whose facts it can check, and nobody you pay today has looked at why it picks your competitor instead.
The first fix is usually one master record of your business that holds your name, address, phone, services, areas and credentials, each checked against a public source. You approve it once, and every page, profile and listing is built from it, so AI systems find the same facts wherever they look.
AI Search Engine Optimization found that a pain management clinic in Missoula had 12 separate business records. They were merged into one on August 21 and 22, 2026. One day later, Google’s measure of how sure it is which business this is, its Knowledge Graph confidence score, jumped from 29 to 75. Contradictions like those 12 records are what stop AI models from naming a business with confidence.
At a mobile outboard repair business in Fort Lauderdale, an award and a certification no public source could back up appeared 582 times on the site. All 582 came down in August 2026. In the same weeks, its average Google position on six commercial searches went from 8.0 to 2.5.