Review pages are some of the most quotable material on the web about a local business. They are text heavy, they name specific services, and they come with ratings a model can report. When an AI tool explains why it is recommending someone, the reasoning often traces straight back to review language: fast response, fair pricing, clean work, good with insurance claims. If your reviews are thin or three years old, there is nothing current for it to repeat about you.
What helps is detail, not just stars. A review that says they replaced our hail damaged roof in four days is worth far more in an AI answer than five stars with no words. So ask for reviews right after the job, while the detail is fresh, and ask in a way that prompts specifics about the service and the town. Respond to reviews as well, because your replies are indexable text that can carry the same useful specifics.
Do not fake it. Review manipulation violates the terms of every major platform, it does get detected, and enforcement often takes your legitimate reviews down with the fake ones. Also do not expect a direct dial between rating and recommendation. A perfect score does not force any AI tool to mention you, and plenty of highly rated businesses never surface because nothing else about them is findable in text.
Send the site over. We will tell you what is broken, what you could rank for, and whether AI search knows you exist. No charge and no pitch deck.
