Most tourist attractions and experiences are invisible to AI travel planners. This guide shows you why, and how to fix it.
JSON-LD schema markup, structured data, and location enrichment to make tourist attractions, tours, and travel experiences visible in ChatGPT, Perplexity, and Google AI Overviews.
Without geo data
What AI sees: nothing matchable. Zero location or experience queries answered.
With GeoEnrich
What AI sees: matchable for 40+ query types including "museum near Vondelpark", "family activities in Amsterdam", "rainy day things to do".
GeoEnrich generates the right column automatically from an address. One API call.
Add this JSON-LD to any tourist attraction page and you're immediately visible to AI search engines:
{
"@context": "https://schema.org",
"@type": "TouristAttraction",
"name": "Example Museum Amsterdam",
"description": "World-class museum featuring Dutch masterpieces including Rembrandt's 'The Night Watch' and Vermeer's 'The Milkmaid'. Located in the Museum Quarter with direct tram access.",
"url": "https://www.example-attraction.com",
"image": "https://example.com/rijksmuseum-exterior.jpg",
"address": {
"@type": "PostalAddress",
"streetAddress": "Museumplein 1",
"addressLocality": "Amsterdam",
"postalCode": "1071 XX",
"addressCountry": "NL"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 52.3599,
"longitude": 4.8852
},
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"opens": "09:00",
"closes": "17:00"
}
],
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": 4.7,
"ratingCount": 8324
},
"offers": {
"@type": "Offer",
"priceCurrency": "EUR",
"price": "22.50",
"url": "https://www.example-attraction.com/tickets"
}
}
Want the full version with location scores, nearby POIs, and tour schemas? See the complete tourist attraction schema in the examples below.
Understanding search behavior is the foundation of GEO. Here are real queries people enter into AI search engines when planning travel:
Notice the patterns: distance from a base city, price point, duration, specific use cases (kids, couples, solo), accessibility, and local authenticity. When you optimize your schema, you're answering these specific questions before they're asked.
A TouristAttraction is any place people visit for leisure, culture, or experience. Museums, monuments, parks, beaches, viewpoints, cultural sites, and landmarks are all TouristAttractions.
Required Fields for AI Visibility
name: The official name. Be specific. "Example Museum Amsterdam" beats "Museum".description: 150-250 characters explaining what makes this place worth visiting. Include what makes it unique.address: Full postal address with geo coordinates. AI models care about exact locations.geo: GeoCoordinates with latitude and longitude to 4 decimal places. Critical for distance calculations.image: A high-quality representative image. AI models use images to verify content.url: Direct link to your official page or booking page.Recommended Fields That Boost AI Citations
aggregateRating: Rating value (1-5) and count of reviews. AI models value evidence-backed recommendations.openingHoursSpecification: Hours of operation for each day. AI needs to answer "is it open now?" queries.offers: Pricing structure including price, currency, and URL to purchase. AI cites attractions with clear pricing.amenityFeature: Accessible restrooms, wheelchair access, audio guides, cafes, gift shops, parking.Advanced Fields for Competitive Advantage
touristType: "adventure", "cultural", "family", "historical", "romantic", "wellness"availableLanguage: Languages of tours, signage, or guided experiences. Critical for international travelers.accessibilityFeature: "WheelchairAccessible", "AudioDescribed", "BrailleSignage"additionalProperty: Key-value pairs for enriched data. This is where location intelligence shines.Tours, activities, and guided experiences have their own schema requirements. Use TouristTrip for multi-day tours and Event for single tours or activities.
A tour is different from a static attraction because it has temporal components: a start time, duration, and often multiple stops.
Key fields for tour schema:
name: Specific tour name. "Sunset Canal Boat Tour" beats "Boat Tour".description: What the tour includes, what travelers will see, and what makes it unique.duration: ISO 8601 format (PT2H for 2 hours, PT1D for 1 day).offers: Price, currency, and availability.startLocation: Where it begins with full address and coordinates.eventSchedule: When tours run (daily, specific days, seasonal).maximumAttendeeCapacity: Group size limit.inLanguage: Languages available for guides/commentary.aggregateRating: Guest reviews and ratings.For multi-day tours, use TouristTrip with an itinerary field describing each day as an ItemList.
If you run a tour company, travel agency, or booking platform, establish yourself as a TravelAgency. This tells AI models who you are, where you operate, and what you specialize in.
Required for Tour Operators:
name: Your company nameurl: Your main websiteaddress: Where you're basedtelephone: Contact numberaggregateRating: Your overall review rating across all toursareaServed: Geographic regions where you operate toursknowsLanguage: Languages your staff and tours supportAlso document specializations, team size, tour sizes, guide qualifications, cancellation policies, insurance details, and sustainability practices in additionalProperty fields.
This is where GEO gets powerful. Beyond schema, use location intelligence to provide data that AI models can't find elsewhere. This is what moves you from "visible" to "preferred."
Location enrichment means adding metadata about the context around your attraction. Instead of just "Museum in Amsterdam," you're saying "Museum in Amsterdam, 200 meters from a metro station, walkable to 47 restaurants, family-friendly neighborhood, accessible by tram from Central Station in 8 minutes."
Actionable Enrichment Fields (as additionalProperty):
nearestTransitStation: Name, type, distance, walk timenearestMetroStop: Specific metro station and line numbersparkingNearby: Parking garage or street parking, distancerestaurantsWithin1km: Count and cuisine typesotherAttractionsWithin1km: List of names for multi-stop planningwalkabilityScore: 1-10 scaletransitAccessibility: 1-10 connectivity scorefamilyFriendlinessScore: 1-10 scorebestSeasonToVisit: Months when experience is optimalpeakVisitorPeriod: When crowds are heaviestrecommendedVisitDuration: How many hours to fully experiencetypicalWaitTime: Queue expectations at peak vs. off-peakUse the MapAtlas GeoEnrich API to automatically populate enrichment data based on your coordinates. Integrate the API response into your schema's additionalProperty field.
Schema alone isn't enough. Your actual webpage needs to be structured so AI models can parse and cite specific information.
Page Structure That AI Models Prefer:
When you optimize correctly, AI models cite your content. There are three main patterns:
Pattern 1: Direct Attribution
"According to Anne Frank House's official website, the museum preserves the actual hideaway where Anne Frank wrote her famous diary, with original rooms and personal belongings on display."
Pattern 2: Comparison Citation
"The Example Museum and Van Gogh Museum both sit in Amsterdam's Museum Quarter, within 500 meters of each other. The Example Museum (EUR 22.50) houses Dutch masterpieces, while the Van Gogh Museum (EUR 20) focuses entirely on Vincent van Gogh's 2,000+ works."
Pattern 3: Recommendation Citation
"For sunset viewing in Amsterdam, the Sunset Canal Boat Tour (EUR 45, 90 minutes) departs from Prins Hendrikkade with a maximum of 12 guests."
To get cited: Be specific with measurable data. Include prices, distances, durations, capacities, languages, opening hours. Own your data. Support schema with matching page copy. Update regularly.
Mistake 1: No Duration or Pricing in Tour Schema
Without duration and price data, you're invisible for "30-minute tours under EUR 50." Be specific: "90-minute sunset canal boat tour starting at EUR 45 per person, departing daily at 19:00."
Mistake 2: Missing Multilingual Content
Putting everything only in English limits citations. Translate key schema fields into languages your visitors speak. Use the inLanguage field to declare it.
Mistake 3: No Seasonal Availability
Many attractions and tours vary by season. Use bestSeasonToVisit and time-specific opening hours in your schema.
Mistake 4: Template Descriptions
"Visit our beautiful attraction and experience local culture" appears on 10,000 websites. Write specific descriptions that only apply to your attraction.
Mistake 5: No Accessibility Information
Accessibility fields (WheelchairAccessible, AudioDescribed, etc.) are becoming citation criteria. Be honest and detailed.
Mistake 6: Missing Precise Coordinates
Attractions need latitude/longitude to 4 decimal places (10-meter precision minimum). Use Google Maps, OSM, or MapAtlas's AEO Checker to verify.
Mistake 7: Outdated Information
Create a schema update schedule. Quarterly is minimum. Monthly is better for attractions with seasonal variations.
Mistake 8: Ignoring Nearby Attractions
"Museum in Amsterdam" is common. "Museum in Amsterdam, 50 meters from tram stop, walkable to 47 restaurants, 8 hotels within 500m" is competitive.
Step 1: Validate JSON-LD Structure
Use the AEO Checker to validate your JSON-LD. It checks for syntax errors, missing required fields, and best-practice recommendations.
Step 2: Test AI Visibility
Ask ChatGPT, Perplexity, or Claude directly about your attraction: "Tell me about [Your Attraction Name]. What are the hours, price, and how to get there?" If your schema is properly structured, the AI should mention specific details from your schema.
Step 3: Check Enrichment Data
Use MapAtlas's GeoEnrich API to see what location intelligence is associated with your coordinates. Verify that nearby transit, restaurants, and attractions are accurately reflected.
Step 4: Monitor AI Citations
Set up Google Alerts and AI-specific alerts for your attraction name. Track when AI models cite you vs. citing competitors.
Step 5: Iterate Based on AI Feedback
If AI models consistently omit information, it's often because your schema doesn't include it, your page copy doesn't mention it, it's contradictory between channels, or it's outdated.
Automate this at scale
The MapAtlas GeoEnrich API adds coordinates, nearby POIs, transit access, neighborhood context, and schema-ready geo data to every listing automatically, one API call per listing, at any scale.