# How reviews shape AI recommendations for hotels and restaurants

> AI assistants summarise reviews to decide who to recommend and for what. Why what reviews say matters more than the star rating.

_UK and US · Updated 2026-10-27 · Akkrev, https://akkrev.com/ai-seo/reviews-and-ai-recommendations/_

AI assistants read reviews the way a careful guest would, only faster and at scale.

## What AI takes from reviews

- **What you're good for.** "Great for families", "perfect for a date", "best breakfast in town".
- **Specific facts.** Parking, noise, dogs, portion sizes, Wi-Fi.
- **Consistency.** One glowing review is noise; fifty that mention the same thing is a signal.
- **Recency.** Recent reviews carry more weight for questions about what a place is like now.

## Why the star rating isn't everything

A 4.6 restaurant that reviewers describe as "the best ramen in Leeds" will be named for "best ramen in Leeds" ahead of a 4.8 restaurant whose reviews say "lovely evening".

## What you can do

- Ask happy guests for a review, and ask them to mention what they enjoyed.
- Reply to reviews, especially to correct facts.
- Never buy or write fake reviews: it's illegal in both the UK and the US, and it doesn't work for long.

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