Reviews used to work on people. A buyer read three, formed a feeling, called or did not. They still do that. But now reviews have a second audience that reads all of them: the engines deciding who to recommend.

How a machine reads a review

Machines parse volume, recency, and pattern. A review that says "great service" is a point of sentiment. A review that says "they re-piped our 1962 house in Rogers in two days and the inspection passed first try" teaches the machine what you do, where, how fast, and how well. Specific reviews are training data about your business, written by witnesses.

Owner responses count too. A business that answers its reviews, including the rough ones, reads as present and accountable. Silence reads as absence.

The weekly habit: twenty minutes

Reply to every new review, by name, with a specific sentence, never a template. Then ask one happy customer for a review, and say the sentence that helps: "if you can, mention what we did and which town you are in." That is not gaming anything. It is asking the witness to be specific.

The line never to cross

Never buy reviews, never fake them, never review yourself. Engines are pattern detectors, and a fake pattern, once caught, poisons the trust you built. Slow and real compounds. Fast and fake collapses.

Tomorrow: the third leg, becoming the source engines quote by name.

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