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Do reviews affect AI recommendations?

Heavily. Reviews are the main evidence a model has that a business is any good, and it reads the text, not just the rating. Phrases like "arrived within two hours" become the reason given in the recommendation.

Why models lean on reviews

A model cannot inspect your work. It needs third-party evidence, and reviews are the largest body of dated, specific, independent commentary about a local business that exists.

The text is the asset

When an assistant says a business is known for same-day service, it is paraphrasing reviewers. A five-star rating with no words gives it nothing to paraphrase.

This is why asking for reviews at the moment the job finishes matters - people describe what just happened. Asked three weeks later, they write "great service, thanks."

Recency is read as reliability

A model weighing whether a business still operates the way people describe leans on dates. Reviews that stopped two years ago create genuine uncertainty, and uncertainty produces hedging.

Your replies count too

Replies are part of the record. A business that answers criticism specifically reads differently to one that has never replied, and models pick that up.

The short version

  • Review text, not just the star average, feeds the recommendation
  • Ask immediately so people describe specifics
  • Recency reads as reliability
  • Replies are part of what gets summarized

Related questions

Do reviews on Yelp and industry sites count?

Yes, models read widely. Google carries the most weight for local queries.

Can a few bad reviews sink me?

Rarely on their own. An unanswered pattern of the same complaint will.

Should I ask customers to mention the service?

You can suggest they describe the job. Never dictate wording.

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