Local SEO for Restaurants and Hotels: Rank on Maps and in AI Answers

Restaurant local SEO used to mean getting your pin near the top of the map. It now also means being named correctly when someone asks an AI assistant where to eat tonight. The good news is that both rest on the same foundation: accurate, consistent facts about your venue, in the places machines read them.

The less comfortable news is that nobody controls the order. Google says you cannot pay for it, and recent research shows AI recommendations shift from one run to the next. So this guide does not promise a ranking. It sets out what the official documents say, what the research shows, and a method for building one fact sheet and testing whether it works.

What does Google say about local ranking?

Google says local results are based mainly on relevance, distance and prominence. Google's Business Profile help page defines each one.

• Relevance is how well your profile matches what someone is searching for. Complete, detailed information helps Google match you to the right searches.
• Distance is how far you are from the searcher. You cannot change it, but you can keep your address accurate.
• Prominence is how well known you are. Google says it considers links from other websites and the number of reviews, and that more reviews and positive ratings can help your local ranking.

The same page says there is no way to request or pay for a better local ranking. It also recommends replying to reviews, as replies show you value feedback. We cover the practice in how to respond to negative reviews.

Google's guidelines for representing your business add rules that trip up many venues:

• Enter your business name exactly as it appears on your signage and branding.
• Do not use categories as keywords or to describe features. Choose the one that best matches your main business.
• Keep descriptions under 750 characters, with no URLs, and focus on the business rather than promotions or prices.
• Use special hours for holidays and temporary changes.
• Restaurants can keep menu items and prices current in the menu editor. Hotels can add check-in and check-out times and edit amenities under hotel attributes (the page says on a computer only).

None of this is secret. The edge is in doing all of it, and keeping it true.

Do you need special optimisation for AI answers?

According to Google, no. Its documentation on AI features says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimisations are necessary. You do not need new machine-readable files, AI-specific text files or special markup.

What it does ask for is ordinary and worth reading closely:

• Your page must be indexed and eligible to appear in Search with a snippet.
• Crawling must be allowed, including through any hosting or CDN setup.
• Important content should be available as text.
• Structured data should match the visible text on the page.
• Business Profile information, and any product or listing feeds you maintain with Google, should be current.

Appearing is still not guaranteed. The practical reading is that "AI optimisation", for a venue, is mostly search hygiene applied with more care. A common failure in hospitality is a menu locked in a PDF or an image, which fails the "available as text" test.

Which sources do AI answers actually draw on?

For local queries, AI answers lean heavily on business websites and on Google Business Profile. BrightLocal's Local AI Visibility Study (published September 2026) ran about 200,000 localised, non-branded prompts over 60 days across ChatGPT, Google AI Mode and Google AI Overviews, and analysed roughly 1.9 million citations.

Its main findings on sources:

The platforms differed. AI Mode and AI Overviews relied heavily on Business Profiles, while ChatGPT rarely used them and leaned on Yelp and Bing. A second study, reported by Search Engine Land, looked at 14,472 Gemini citations across 50 US metro areas and found nearly 60% pointed to businesses' own websites, with Reddit second at 13.7%.

Two cautions. The BrightLocal article contains no restaurant-specific analysis, and the Gemini study covered US metros and ten service categories, so neither proves what happens for your dining room. Search Engine Land's summary is also short on method. Treat both as direction, not as a rulebook.

Why is a single AI result close to meaningless?

Because AI answers are unstable. In BrightLocal's data, repeat runs of the same prompt overlapped by only 23% on ChatGPT, 21% on AI Mode and 33% on AI Overviews. Between 71% and 80% of businesses appeared in half of attempts or fewer. The Gemini study found the same top business was recommended only about 7% of the time on repeat queries, against about 90% for the same top listing in Google's local pack.

So Google Maps behaves like a ranked shelf, and AI answers behave more like a conversation that goes differently each time. That changes what you should do:

• Do not screenshot one good answer and celebrate, or one bad one and panic.
• Do not pay anyone who promises a fixed position in AI answers. No such position exists.
• Measure how often you appear across many runs, over weeks.

You cannot control which answer a guest is shown, only whether every source they might read tells the same story.

How do you build one fact sheet that every surface repeats?

Write a single fact sheet, treat it as the source of truth, and copy from it everywhere. This is the non-obvious step, and it is dull in the way kitchen prep is dull: a mislabelled container causes more trouble than a poor recipe.

Your sheet should hold:

1. Name exactly as on the signage.
2. Address and a plain-words description of how to find you (the street entrance, the floor, the nearest station).
3. Hours, including holidays, last orders and kitchen close, which often differ from door close.
4. Category (one primary, a few secondary, no keyword stuffing).
5. Menu as live text, with prices and a date, plus dietary and allergen information.
6. Booking link and phone number, the same everywhere.
7. Price range, capacity, accessibility and parking in one sentence each.
8. Two or three true sentences about what makes you different. Facts, not adjectives.
9. For hotels: check-in and check-out times, room types, amenities, breakfast times, pet and child policy.

Then copy it, word for word, to:

• Your Google Business Profile.
• Your website, as text on the page. Our guide to what a restaurant website must have covers layout.
• Yelp, Tripadvisor, OpenTable and any booking or review site in your market, plus Facebook.

Common mistakes and their fixes:

How do you test your visibility without fooling yourself?

Run the same small set of prompts on a schedule and record how often you appear, not where. A simple version takes about twenty minutes a week.

1. Write five prompts a guest would type, such as "good restaurant for a birthday dinner near [neighbourhood]" or "quiet boutique hotel near [landmark]". Keep them non-branded.
2. Run each on the two or three tools your guests use. Use a fresh session each time.
3. Run each prompt three times in the same sitting.
4. Record: appeared or not, which facts were stated, which facts were wrong.
5. Repeat weekly for at least four weeks.

Your score is the share of runs in which you appear. Imagine a hotel that appears in 4 of 15 runs in week one and 7 of 15 by week four after fixing its amenity text. That is a trend you can act on. A single appearance is not.

The "which facts were wrong" column is the useful one. If an assistant states the wrong closing time or a dish you removed a year ago, trace the claim to its source and fix the source. Our piece on AI search and hospitality discovery goes deeper on how guests use these tools.

Is local SEO different for hotels?

The foundations are identical, but the geography and the booking path differ. In BrightLocal's data, between 52.8% and 59.3% of recommended businesses were within 5km of the searcher, which suggests proximity carries weight. The reach varied by platform: the 90% radius was 287km for ChatGPT, 64km for AI Mode and 38km for AI Overviews. That study spans all local categories, not restaurants or hotels specifically, so it cannot say how a given dining room will fare. It does hint at why destination businesses should think about wider reach, especially on ChatGPT.

For hotels:

• Fill in check-in and check-out times and the amenity attributes on the profile.
• Write location pages for the places guests search for (the old town, the beach, the conference centre), as plain text with real distances and transport.
• Keep third-party booking and review pages consistent with your own site, since guests often meet you there first.

What should you do first, in what order?

Start with the cheapest fixes that affect the most surfaces, and leave anything clever until the basics are true. A sensible first month looks like this.

1. Week one: write the fact sheet and compare it with your Business Profile. Correct every mismatch, set holiday hours, and check the primary category.
2. Week two: put the same facts on your website as text. Move the menu out of the PDF. Add the address, hours and booking link to every page footer.
3. Week three: audit Yelp, Tripadvisor, OpenTable, Facebook and any local directory. Claim what you can and correct what you cannot claim by contacting the site.
4. Week four: reply to recent reviews, start your weekly prompt test, and record your baseline.

After that, repeat the audit each quarter and whenever anything changes: a new chef, a new menu, a new set of hours. Much of the work is upkeep rather than invention, which is why it suits a team that is busy running a service. If you are drafting a wider plan for the year, our restaurant marketing plan shows where this fits.

Key takeaways

• Google ranks local results on relevance, distance and prominence, and says you cannot pay for a better position.
• Google says no special optimisation is needed for AI Overviews or AI Mode. Indexed pages with important content as text are the requirement.
• In BrightLocal's 2026 study, business websites (42%) and Google Business Profile (28.5%) were the biggest citation sources.
• AI answers vary between runs, so test by repeating prompts weekly for at least a month and tracking how often you appear.
• Write one fact sheet and copy it exactly to your profile, website and listings. Fix wrong facts at their source.
• Hotels should add check-in, check-out and amenity details, and think about wider reach.