Ride More, Wait Less
Thrill Data (thrill-data.com) scores 70 out of 100 on Brand Analyzer, placing it in the Developing tier among Travel & Hospitality brands, Technology brands, Media & Entertainment brands, in the 23rd percentile of 11663 Travel & Hospitality brands.
Thrill Data is a data-driven platform that provides live and historical wait time data, Lightning Lane availability, crowd calendars, and dining reservation tools for over 130 theme parks worldwide. Operating since 2019, it helps theme park visitors and families plan vacations by offering analytics designed to minimize wait times and optimize park experiences. The platform falls within the Travel & Hospitality, Technology, and Media & Entertainment categories.
| Brand Name | Thrill Data |
|---|---|
| Domain | thrill-data.com |
| Industry | Travel & Hospitality, Technology |
| Founded | 2019 |
| Main Competitors | Touring Plans (79/100), Queue-Times (74/100), Undercover Tourist (83/100), Disney Dining (81/100), MouseWait (70/100) |
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Use data to power your vacations! Live and historical wait times, Lightning Lane availability, crowd calendars, and tools for 130+ theme parks since 2019!" (Meta description: 24 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ClaudeBot, Google-Extended - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on X (Twitter), GitHub; no detected presence on LinkedIn, Facebook, Instagram, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Thrill Data?", Claude could identify the brand as of October 2026. Thrill Data is a website that aggregates theme park data, including ride wait times, historical wait time trends, attendance estimates, and roller coaster statistics for parks around the world. Best known for Providing historical and real-time theme park wait time data and attendance estimates for enthusiasts and researchers.
When asked "Best brands similar to Thrill Data?", Claude would recommend Thrill Data as of October 2026. It's a niche but well known resource among theme park enthusiasts and industry analysts for detailed wait time and attendance data that isn't easily found elsewhere.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Thrill Data's main competitors in Travel & Hospitality: Touring Plans (79/100), Queue-Times (74/100), Undercover Tourist (83/100), Disney Dining (81/100), MouseWait (70/100).
Sources: Brand Analyzer scan
Thrill Data offers live and historical wait time tracking, Lightning Lane availability information, crowd calendars, and dining reservation tools for theme park visitors, covering more than 130 theme parks worldwide.
Sources: Thrill Data official site
Thrill Data is a data-driven website and toolset for theme park planning. It aggregates live and historical wait time data, Lightning Lane availability, crowd calendars, and dining reservation tools for more than 130 theme parks worldwide, and has operated since 2019.
Sources: Thrill Data official site
Thrill Data has low AI-search visibility, scoring 21/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 30, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Thrill Data official site
Thrill Data collects and presents live and historical wait time data, Lightning Lane availability, and crowd calendar information for over 130 theme parks. It provides tools that help visitors plan vacations by identifying optimal times to visit parks and ride attractions, and includes dining reservation planning features.
Sources: Thrill Data official site
Thrill Data scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Travel & Hospitality options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Thrill Data official site
Thrill Data is known for its extensive database of historical and live wait time statistics across more than 130 theme parks, as well as its crowd calendars and Lightning Lane availability tracking, which help visitors plan more efficient park visits.
Sources: Thrill Data official site
Thrill Data can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Thrill Data official site
Thrill Data is used by theme park enthusiasts and families who are planning vacations and want to use data insights to minimize wait times and maximize their time at theme parks.
Sources: Thrill Data official site
Thrill Data scores 21/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Thrill Data has a weak AI-visibility profile at 21/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (0/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Thrill Data from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Thrill Data: Z Hotels (70/100), The Yacht Social Club (70/100), Treasure Island Resort & Casino (70/100), tiket.com (70/100).
A step up - brands to learn from: Zambia Travel (71/100), Yellow Dog Software (71/100).
Category leader: Cvent (97/100).
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