What is AI Reveal Map?

AI Reveal Map is a diagnostic tool that shows boutique hotels and luxury vacation rentals why AI recommendation engines like ChatGPT, Perplexity, and Gemini recommend the competition instead of them. It scans a hotel website in 60 seconds and returns an R2R Score (Ready to Recommend), entity identity coherence analysis, live AI recommendation test results, and priority fixes with exact actions.

What is the R2R Score?

The R2R (Ready to Recommend) Score measures how prepared a hotel or luxury rental property is to be recommended by AI systems. It evaluates four dimensions: identity clarity, structural extractability, schema readiness, and content authority. Scores range from 0 to 100, with tiers: Ready (75+), Getting Close (50-74), Developing (25-49), and Not Ready (0-24).

What is entity identity coherence?

Entity identity coherence measures whether all the sources AI reads about a property agree on what it is. When a hotel's website says boutique hotel, TripAdvisor says bed and breakfast, and Booking.com says guesthouse, AI cannot confidently recommend it. AI Reveal Map evaluates coherence across the property website, TripAdvisor, Google Business Profile, Booking.com, and Wikidata.

How does AI recommend hotels?

AI systems like ChatGPT, Perplexity, and Gemini synthesize information from multiple sources to decide which properties to recommend. Properties with clear, consistent, and structured identity signals across website, OTAs, review platforms, and knowledge graphs are recommended at significantly higher rates. The Princeton GEO study (KDD 2024) found that content optimization can boost AI recommendation likelihood by 30-40%.

Is the AI Reveal Map scan free?

Yes. The free scan includes the R2R Score with signal breakdown, entity identity coherence analysis, live AI recommendation test across Perplexity, ChatGPT, and Gemini, and primary constraint identification. It takes 60 seconds and requires no account. For deeper analysis, the Full Report ($47) provides step-by-step implementation instructions, copy-paste schema code, competitive intelligence, and a downloadable PDF.

What are the six signals AI looks for on hotel websites?

The six signals are: (1) JSON-LD schema markup for machine readability, (2) LLM-readable files like llms.txt and llm.html, (3) XML sitemap, (4) AI crawler directives in robots.txt, (5) complete Open Graph tags, and (6) cross-platform entity coherence. 89% of boutique hotel websites are missing most of these signals.

AI Reveal Map — Is AI Recommending Your Hotel?

AI Recommendation Diagnostic for Boutique Hotels and Luxury Vacation RentalsAI Reveal Map diagnoses why AI recommends one hospitality property over another. Find out if ChatGPT, Perplexity, and Gemini recommend your property or your competitor. Free scan in under 60 seconds.Created by Francia Haces, Hacestek International, LLC. Miami, Florida.How AI Recommends Hotels: R2R Score MethodologyFree AI Readiness ScanNewsletter: Ready to Recommend