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Off-Site Signals · P3.2

Reviews for AI search: why volume and recency beat star count

tl;dr

AI assistants care about review volume, recency, and content more than they care about star averages. 50 thoughtful reviews from the last 90 days beats 500 five-star reviews from 2019.

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§ 01

What assistants actually look at

  • ·Total review count across major platforms
  • ·How recent the reviews are (last 90 days carries most weight)
  • ·Distribution across platforms (not all on one site)
  • ·Actual text of reviews — they pull phrases verbatim
  • ·How you respond to reviews, especially negative ones
§ 02

The platforms that matter

Pick three or four and go deep, rather than scattering across a dozen.

  • ·Google Business Profile — non-negotiable
  • ·Industry-specific: Yelp (food, beauty), TripAdvisor (travel), Healthgrades (medical), G2 / Capterra (B2B SaaS)
  • ·Trustpilot — broad and weighted by assistants
  • ·Facebook — surprisingly weighted in some categories
§ 03

How to ask for reviews without sounding gross

  1. 01Ask within 24 hours of the experience, while it's fresh.
  2. 02Use the customer's name. Reference the specific thing you did for them.
  3. 03Send a direct link to the review page. One tap, no hunting.
  4. 04Make it easy to share specifics: 'Tell us what surprised you' beats 'leave a review.'
  5. 05Never offer anything in exchange. It violates most platforms' terms and assistants discount obviously incentivized reviews.

Respond fast, in public, with empathy.

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§ 04

When you get a bad review

Respond fast, in public, with empathy. Don't get defensive. Take it offline to resolve specifics. AI assistants quote response patterns when summarizing your reputation — graceful losers come across better than perfect winners.

Common questions

How many reviews do I need?

Enough to be credible. For local businesses, 50+ on Google with steady additions monthly is solid. For B2B SaaS, 30+ on G2 plus 30+ on Capterra is competitive.

Can I delete a bad review?

Not unless it violates the platform's terms (spam, off-topic, fake). Trying to game removal usually backfires. Reply and move on.

Do AI assistants read reviews on my own site?

Less than third-party reviews. Self-hosted reviews are harder to trust. Use schema (Review, AggregateRating) to surface them, but don't rely on them alone.

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