How reviews shape AI recommendations for hotels and restaurants
Updated By Akkrev
How many reviews you need, whether star rating matters, and what studies found about which venues AI assistants name.
Key points
- Review volume matters a lot. ChatGPT named 84% of hotels with 2,500+ Google reviews and 52% of those with under 50.
- Star rating matters less than you think. In a study of 4,776 venues, rating made no difference to getting named at all.
- Details help guests judge fit. Reviews can describe things such as noise, parking or accessibility.
- Recency counts. Most guests ignore old reviews, and AI answers about what a place is like now lean on recent ones.
- Never buy or write fake reviews. It breaks platform rules and is illegal in the UK and US.
How many
In the cited hotel sample, properties with more reviews were named more often.
What they say
Specific dishes, rooms, occasions and facts match you to specific questions.
How recent
Recent reviews describe the place as it is now.
Your replies
Polite replies that correct facts give AI the right version.
Reviews give guests details they can use to choose a venue. Hotel and restaurant studies also found links between review volume and appearances in sampled AI answers. Those studies do not isolate reviews from factors such as a venue’s popularity or the websites that mention it.
Volume: the clearest signal
Local Falcon’s 2026 study of 998 US hotels found ChatGPT named 52.1% of hotels with fewer than 50 Google reviews and 83.8% of hotels with 2,500 or more. Google Maps showed the same pattern.
A separate 2026 study of 4,776 restaurants, cafés and bars in Bali found review count and mentions on other sites predicted being named. Venues with more of both were much more likely to appear.
Guests think the same way. In BrightLocal’s 2026 survey, 47% of consumers said they would not use a business with fewer than 20 reviews.
Star rating: less than you’d expect
In the Bali study, star rating made no difference to whether a venue got named at all. That doesn’t mean ratings are irrelevant. Once you are on the shortlist, guests compare ratings, and 97% of people who use AI for local recommendations at least sometimes check reviews before deciding.
So aim for a solid rating, but put more effort into steady volume and useful detail.
Words: what you get named for
AI reads reviews the way a careful guest would, only faster. It takes:
- What you’re good for. “Great for families”, “perfect first date”, “best breakfast in town”.
- Specific facts. Parking, noise, dogs, portion sizes, Wi-Fi, step-free access.
- Repetition. One mention is noise. Fifty reviews mentioning “quiet rooms” is a signal.
A 4.5 ramen bar whose reviews keep saying “best ramen in Leeds” can be named for “best ramen in Leeds” ahead of a 4.8 restaurant whose reviews just say “lovely evening”.
Recency: reviews go stale
Questions about what a place is like now lean on recent reviews. A run of reviews from three years ago tells AI little about this season’s menu or last month’s refurbishment. Aim for a steady flow, not a burst.
Which platforms matter
- Google for Google’s AI Overviews, AI Mode and Gemini.
- TripAdvisor and Booking.com for hotel answers in ChatGPT. They were its two most cited sources in the hotel study.
- Yelp for US restaurants and cafés, and TripAdvisor in the UK.
- OpenTable, Resy and SevenRooms where diners book.
What you can do
- Invite guests to share honest feedback using the same process regardless of how their visit went. Follow each platform’s rules and let guests choose what to write.
- Reply to reviews, briefly and politely, especially to correct wrong facts.
- Spread your effort across the two or three platforms AI uses for your type of venue.
What not to do
Never buy, swap or write fake reviews, and don’t offer rewards for Google reviews or selectively ask for positive reviews. The UK’s DMCC Act makes fake reviews illegal and the CMA enforces it. The US FTC also bans fake reviews. Platforms remove them, and removal can take your genuine reviews with them. Read fake reviews and AI recommendations.
Akkrev tracks whether AI names you for the questions guests ask every week, and which review sites and other sources it cites for you and your competitors. See plans.
Questions
What star rating does a restaurant need for AI to recommend it?
There is no published threshold from OpenAI or Google. Research on 4,776 venues found star rating made no difference to whether a place was named at all, while review count and outside mentions did. A solid rating helps guests choose once you are named.
Do Google reviews affect AI restaurant recommendations?
Google confirms that review volume and ratings can help local ranking on Google Maps and Search. Studies also find associations in some sampled AI answers, but they do not establish a ranking rule across assistants.
How many reviews do I need to be recommended by AI?
There is no fixed number. In one hotel study, ChatGPT named about half of hotels with fewer than 50 Google reviews and over 80% of those with 2,500 or more. Separately, 47% of consumers say they won't use a business with fewer than 20 reviews.
Does a 4.8 always beat a 4.5 in AI answers?
No. A 4.5 venue whose reviews describe exactly what the guest asked for can be named ahead of a 4.8 whose reviews are vague.