Is AI search finding your listing?
Paste any local listing URL and get a free AEO score. We check the location signals that determine whether ChatGPT, Claude and Perplexity recommend your business.
Works for hotels, restaurants, rentals, real estate, retail, healthcare and more
MapAtlas builds location data APIs for listing platforms. This tool works for any business with its own listing page: a restaurant, hotel, clinic, shop, rental, or any place-based business with a URL. Not for generic websites or brand homepages.
Any business with its own listing page
If it is a real place with a dedicated URL, we can score its AI visibility.
Restaurants and cafes
83% of restaurants are completely invisible on ChatGPT. Find out if yours is one of them, and which location signals to fix.
20% of consumers now use AI to research restaurants. Source
Hotels and boutique stays
Check if your hotel has the location signals AI needs to recommend it when guests search by area, landmarks, or vibe.
AI travel referrals grew 17x between mid-2024 and early 2025. Source
Vacation rentals and short stays
Find out why ChatGPT is not recommending your rental when travelers ask for suggestions in your area.
30% of travelers use AI to plan trips. Source
Real estate listings
Buyers and renters are asking AI for suggestions by neighbourhood. Make sure your listings have the geo signals to appear.
AI is the new first step in property search. Are your listings visible?
Retail stores and boutiques
When shoppers ask AI for stores near a location, your shop needs geo signals to appear. Check any individual store page.
AI chatbot traffic to retail sites grew 1,200% since 2024. Source
Clinics, gyms and local services
Healthcare providers, gyms, salons, and local services are among the most searched categories in AI. Check your location pages.
45% of consumers use AI to find local services, up from 6% one year ago. Source
Tours, experiences and attractions
Travelers ask AI what to do near a location. Experience listings with thin location context are invisible to those queries.
AI travel assistants are replacing Google for local activity discovery.
Multi-location brands and franchises
Each location page earns its own AI visibility score. Audit locations individually to find which are failing across your network.
Location-level gaps compound. One weak city can drag down network-wide AI recommendations.
How it works
Three steps. Thirty seconds. Instant AEO score.
Paste your listing URL
Any local listing page with its own URL: a hotel, restaurant, rental, retail store, real estate listing, or any place-based business page.
We audit 29 signals
We check 10 AEO criteria, 8 location data fields, 5 GEO signals, and 6 SEO basics -- everything AI tools use to decide what to recommend.
See your AI visibility score
Get a clear picture of why your listing is missing from AI-generated answers and exactly which location signals to fix first.
What the audit checks
10 AEO criteria across two dimensions. Location signals account for the majority of failures.
Location signals (1 to 5)
The geo data layer that AI tools use to understand where your listing is, what surrounds it, and how to get there. This is where most local listings fail and where MapAtlas specialises.
- 1
Schema entity markup
Restaurant, LodgingBusiness, RealEstateListing, LocalBusiness — the schema type tells AI exactly what kind of place this is
- 2
Nearby context
Landmarks, parks, beaches, and points of interest that AI uses to answer 'what is near this listing?'
- 3
Transit and directions
How to get there by car, public transport, or foot — data AI needs for practical local recommendations
- 4
Geo coordinates and place data
Precise coordinates and place entity links that let AI confidently locate and cite your listing
- 5
Neighbourhood and area context
Area descriptions, local character, and neighbourhood references that match how people phrase AI queries
Content signals (6 to 10)
Content and trust signals that help AI engines decide whether your local listing is worth recommending over competing results.
- 6
Citable content blocks
Clear, factual content AI can extract and quote in generated answers
- 7
FAQ and Q&A structure
Question-answer pairs that match how customers phrase local queries to AI tools
- 8
Reviews and ratings schema
Structured review signals that AI surfaces when recommending local businesses
- 9
Hours and availability
Opening times, check-in windows, booking info — often missing from local listing pages
- 10
External verification
Consistent listing data across directories and platforms that gives AI confidence to cite you
Failing on location signals?
MapAtlas builds the location data APIs that listing platforms and multi-location brands use to populate nearby context, transit data, and place entity markup automatically, at scale.
See MapAtlas location APIs1.2%
Local listings recommended by ChatGPT (SOCi 2026)
83%
Restaurants completely invisible on ChatGPT
45%
Consumers now use AI to find local businesses
Frequently asked questions
Everything you need to know about AI visibility for local listings.
What is AEO and why does it matter for local listings?
Answer Engine Optimization (AEO) means structuring your local listing so AI tools like ChatGPT, Claude, and Perplexity can recommend it. When someone asks an AI for a restaurant near a landmark or a hotel in a specific area, AEO determines whether your listing appears. According to SOCi's 2026 Local Visibility Index, AI visibility is 3 to 30 times harder to achieve than ranking in traditional local search.
Why does location data specifically affect AI search visibility?
AI answers location-based questions using structured geo data: nearby landmarks, transit options, neighbourhood descriptions, coordinates, and place entity markup. Local listings with thin or missing location data score low in AI search because AI cannot confidently answer where this place is or what is nearby. This is the gap MapAtlas is built to solve: we specialise in location data for listing platforms.
Why isn't my restaurant or hotel showing up in ChatGPT?
83% of restaurants are completely invisible on ChatGPT, and only 1.2% of all local business locations get recommended by ChatGPT according to SOCi research. The most common causes are missing location schema, no nearby landmarks or transit data, thin descriptions, no FAQ section, and inconsistent name, address and phone data across platforms. Our AEO checker identifies exactly which signals are failing, for free, in seconds.
Does this work for multi-location businesses?
Yes. Each location page gets its own AEO score. For restaurant groups, hotel chains, retail brands, and franchise networks, you audit each location URL separately. Location-level visibility gaps compound: a chain with many locations that each score poorly loses far more AI-referred traffic than a single-location business with the same score.
Who should use this AEO checker?
Any business that publishes local listing pages: hotels, restaurants, vacation rental hosts, real estate agents, retailers, healthcare providers, gyms, salons, tour operators, attractions, and multi-location brands. Built for local listing pages, not generic websites.
How do I improve my listing's AEO score?
The free scan shows your overall score and which of the 10 criteria are failing. The highest-impact fixes are adding location schema (nearby landmarks, transit data, coordinates), a FAQ section, and structured review markup. If you run a listing platform and need location data at scale, MapAtlas's mapping APIs can supply the geo data layer automatically.
Is this AEO checker really free?
Yes. Completely free, no signup, no credit card. You get your AEO score and a summary of passing and failing criteria instantly. Submit your email to receive the full per-criterion report with specific fix recommendations.
Check your listing's AEO score now
Paste any local listing URL and get your AI visibility score in seconds. See which location signals are missing and what to fix.