How reviews affect AI recommendations, and how to earn them the right way

By Reckona AIUpdated 25 October 20264 min read

Reviews used to be a reputation issue. In AI search they are also a visibility issue, because assistants lean on them to decide who is worth naming.

Key takeaway: When someone asks an AI assistant for the best provider, the answer often reflects what reviews and review sites say. Volume, recency, rating and specific detail all matter. Earn reviews by asking every customer at the right moment and making it easy, never by buying, faking or filtering them.

Why AI assistants lean on reviews

Assistants try to recommend options people will be satisfied with, and reviews are one of the few large, public, independent signals of that. Answers to questions like “best dentist near me” or “most reliable roofing company” often echo what review platforms and directories say, and sometimes cite them directly.

What kind of reviews help

Recency. A steady flow of recent reviews shows the business is active.
Specific detail. Reviews that name the service, the location or the problem solved give assistants language they can match to a buyer’s question.
Spread across platforms. Google plus the platforms that matter in your industry, rather than one site only.
Responses. Calm, specific replies, including to negative reviews, show how you treat customers.

How to earn more reviews

Ask every customer, at the moment they are happiest, such as right after a job is finished.
Send a direct link so leaving a review takes one tap.
Mention what is useful to include, like the service they used, without scripting their words.
Automate the reminder so it happens every time. See review management automation.

What not to do

Do not buy or fake reviews. In the US, the FTC’s rule on consumer reviews and testimonials prohibits fake reviews and certain incentivised reviews, and other countries have similar consumer-protection rules.
Do not filter who you ask. Asking only happy customers, often called review gating, breaks the policies of major review platforms, including Google’s.
Do not review yourself or ask staff to post as customers.

Rules differ by country and platform; check the current policies of each platform you use.

Check the effect

Track your review count, rating and recency monthly, and test buyer questions in the assistants to see whether you are named. See how to build a prompt panel.

Frequently asked questions

Do reviews affect whether ChatGPT recommends my business?

They often do. AI assistants frequently reflect what review platforms and directories say when they suggest businesses, although no one outside the AI providers knows the exact weighting.

How many reviews do I need?

There is no fixed number. Compare yourself with the businesses that are currently being recommended in your category and area, and aim for a steady flow of recent, detailed reviews.

Can I offer a discount for a review?

Be careful. Incentivised reviews are restricted by consumer-protection law in many places and by most platform policies, especially if the incentive depends on the review being positive. Check the rules that apply to you.

What is review gating?

Asking only customers you expect to be happy for a review, or filtering unhappy customers away. Major platforms, including Google, prohibit it.

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