AI assistants now sit between hospitality venues and a growing share of their customers. This guide explains how AI search systems decide which pubs, restaurants, hotels and holidays to recommend, why a Google review request on its own does little to help, what the UK rules on reviews now require, and how to measure whether any of it brings customers through the door.
How Do People Use AI to Find a Pub, Restaurant or Hotel?
More people now ask an AI assistant where to eat, drink or stay and get a shortlist, not a list of links. The question is specific, such as “where can I get a good Sunday roast with a dog-friendly garden near me”, and an AI decides, at the moment of choice, which venues make the list.
The numbers are directional, and most of the research is commissioned by companies with something to sell, but they point the same way. A June 2026 survey of 1,000 UK adults found around 14% had used AI to find a pub or restaurant, rising to around a third among 25 to 34 year olds. A separate 2026 UK consumer search study put AI use for a local search in the past month at around 37%, with about a quarter saying they had tried a new local business because an AI recommended it.
What SEO, AEO and GEO Mean
SEO gets you ranked, AEO gets you quoted as the answer, and GEO gets you recommended by AI assistants such as ChatGPT, Gemini, Perplexity and Copilot.
SEO (search engine optimisation) is ranking in Google’s list of links and on Maps. What moves it for a venue is your listing, website, review volume and rating, and consistent details.
AEO (answer engine optimisation) is being the direct answer to a question, for example in Google’s AI Overview or a voice assistant. What moves it is clear, factual content that answers real questions: dog friendly, roast on Sundays, rooms, parking.
GEO (generative engine optimisation) is being cited and recommended by ChatGPT, Gemini, Perplexity and Copilot when they compose an answer. What moves it is evidence the model can read and trust: recent, specific reviews and pages written in plain text.
Google’s own guidance says there are no special requirements or markup for its AI features; the fundamentals are useful, original, trustworthy content with the important parts available as text.
How an AI Decides Whether to Recommend a Venue
For most recommendation and local-search questions, AI tools retrieve fresh web information to ground their answers, citing the sources. None of them publish their methods, but three signals are worth thinking about.
Relevance. Does this content answer the question? AI matches intent rather than keywords. “A pub for a group of twelve where the service copes with big parties” is answered by what guests have said about groups and service, not by a page that says “welcome to our pub”.
Corroboration. Do other sources back it up? Your website says dog friendly. If guests also say so on Google and TripAdvisor, the picture is consistent. This is why third-party reviews carry weight: a model cannot supply real human experience, so it goes looking for it.
Recency. Is this still true? A stream of recent reviews says the venue is open, busy and still good. A profile that went quiet six months ago says much less, and a 2025 UK food and drink consumer study, commissioned by a reputation platform, found around 73% of consumers do not trust a review older than three months.
Reviews score well on all three. A March 2026 analysis of over 800,000 AI responses, commissioned by a review platform, found review sites were the second most cited source type overall. The same analysis found businesses with no active review profile were cited in around 1% of relevant answers, against 75% for those with an actively managed one.
Why Specific Reviews Beat Star Ratings in AI Search
A five-star rating gets a venue considered. Specific detail gets it recommended for the right occasion.
Take two reviews with the same rating.
“Great pub. Lovely staff. Would recommend.”
“Roast beef today, generous portion and the veg was spot on. Dog friendly in the big bar area and there’s seating in the garden. Well worth it.”
The first builds trust with a human reader but tells an AI system nothing about what the pub is for. The second gives it real things to match on: roast beef, portions, dog friendly, bar area, garden. When someone asks for a dog-friendly pub with a garden and a decent roast, only one of these can help.
Review Gating and the Law
Review gating means filtering guests by score before inviting them to post, so only happy customers reach Google. Once a business is chasing stars, someone suggests exactly that, or a discount for a five-star rating. Google’s policies prohibit both.
In the UK, the Digital Markets, Competition and Consumers Act 2024 has treated fake and manipulated reviews as a consumer protection matter since April 2025, and the Competition and Markets Authority is enforcing it. In March 2026 it opened investigations into five businesses over how they obtain and handle reviews.
Gating also does not work. A wall of identical five-star reviews is likely to read as suspicious to people and to models alike. The compliant position is simple: every guest gets the same offer to share publicly, nothing is incentivised, and the guest posts from their own account. Rules change, so check your review journey against current Google policy and CMA guidance rather than assuming.
Why Reviews Need to Be on More Than Google
AI answers draw evidence from several places at once, so a venue that several sources describe the same way is easier to recommend than one with a single busy profile.
Knowing which of those profiles is going quiet is where our Online Review Collection service helps: it monitors your reviews across platforms, and your competitors’, so you can see the gaps before they show up in an AI answer. Your own pages are the second source you control: testimonials and venue information should sit on the page as crawlable, indexable text, not only inside a third-party widget.
How to Measure AI Search Visibility
Find out what the assistants already say about you, then track whether it changes.
Baseline what AI says about you. Ask ChatGPT, Gemini, Perplexity and Copilot the questions your customers ask: “best Sunday roast near [town]”, “dog-friendly pub with a garden in [area]”, “tell me about [venue]”. Note where you appear and what is right, missing or wrong. Repeat monthly. It is directional, but it shows you the gaps.
Add one question to your existing survey. “How did you hear about us?” with “asked an AI assistant” as an option. That gives you a baseline before anything else changes.
Use the reporting that now exists. Bing Webmaster Tools shows when your pages are cited in Copilot and Bing AI answers, and Google Search Console has added generative AI performance reporting. Add referral traffic and your survey answers and you have a trend line rather than a guess.
Where Adapt Fits
Adapt is Service Monitor’s AI guest survey platform. It is used by pubs, restaurants, hotels, holidays and visitor attractions, and it works for any business with customers to ask, whatever the sector (see who we work with). It collects specific, usable feedback first, then gives every guest the same option to share it publicly.
A Google review request on its own underperforms as feedback. Unprompted reviewers are usually the delighted and the furious, so the middle of your guest base stays silent. A blank review box yields two adjectives or nothing. And a one-star review that says “won’t be back” gives operations nothing to fix.
Adapt is a post-visit survey that reads each answer and asks a follow-up where a comment is vague, rather than working through a fixed list of questions. It never guesses at causes, never asks twice about something the guest has already covered, and skips anything the guest did not experience.
One tap gives the guest a short summary assembled from their own answers, with nothing added, and opens Google, TripAdvisor or Trustpilot. The guest edits it, posts it or ignores it from their own account. You decide which platform each venue points guests to, and Adapt can rotate that automatically so no profile goes stale. The rules are about recency and coverage, never the guest’s score.
The result is a review profile that is genuine, current, representative and specific, built from the same conversation that gives your managers something to act on. Contact us if you want to see what Adapt would ask your guests, or read our post on why Google reviews alone are not enough for AI search.
Frequently Asked Questions
GEO is the practice of making a business visible to AI assistants such as ChatGPT, Gemini, Perplexity and Copilot, so that they cite and recommend it when someone asks a question. Where SEO is about ranking in a list of links, GEO is about giving an AI model evidence it can read and trust: recent, specific reviews across several platforms and plain-text pages that answer real questions.
No. Google and Bing are not going anywhere, and most of what helps SEO (a complete listing, consistent details, review volume and rating) also helps GEO. GEO adds a layer: the content has to be specific enough for a model to quote and recent enough for it to trust.
Because AI systems match the detail in a review to the question being asked. "Great pub, lovely staff" tells a model nothing about what the venue is for. A review that names the dish, the garden and the dog-friendly bar can be matched to a real request. AI answers also draw on several sources at once, so a busy Google profile with a silent TripAdvisor and an untouched Trustpilot page is a weaker position than three platforms that are all current and all describe the same things.
No. Review gating means filtering guests by score before inviting them to post, so only happy customers reach Google. Google's policies prohibit it, along with offering incentives for reviews. In the UK, the Digital Markets, Competition and Consumers Act has treated fake and manipulated reviews as a consumer protection matter since April 2025, and the Competition and Markets Authority opened investigations into five businesses in March 2026. Every guest should get the same option to share, whatever score they gave.
A negative review does not make a venue disappear from AI answers, but review sentiment does shape the picture an AI system or a customer forms of the business. The objective is not a perfect five-star profile. It is a genuine, current and representative one, with responses that show the venue listens.
A post-visit survey that adapts to what the guest says. Instead of a fixed list of questions, it reads each answer, asks a follow-up where the answer is vague, skips what has already been covered and skips anything the guest did not experience. Adapt is Service Monitor's AI guest survey platform, used by pubs, restaurants, hotels, holidays, visitor attractions and any other business with customers to ask.
No. At the end of the survey, Adapt assembles a short summary from what the guest actually said, with nothing added, and shows it to them. The guest edits it, posts it from their own account on Google, TripAdvisor or Trustpilot, or ignores it. If they decline, nothing is posted.
Three ways. Ask ChatGPT, Gemini, Perplexity and Copilot the questions your customers ask and record where you appear, monthly. Add "asked an AI assistant" as an option to the "how did you hear about us" question in your survey. And use Bing Webmaster Tools, which reports when your pages are cited in Copilot and Bing AI answers, alongside the generative AI performance reporting in Google Search Console.