AI Reveal Map is a diagnostic product built by Hacestek International, LLC, based in Miami, Florida. It was created by Francia Haces, an AI recommendation strategist with 30 years of experience in hospitality distribution, including roles at Sabre, Travelocity/PriceTravel, Karisma Hotel Group, and the Mexico Tourism Board.
AI Reveal Map diagnoses why AI tools like ChatGPT, Perplexity, Gemini, and Claude do or don't recommend a specific boutique hotel or luxury vacation rental. It evaluates entity identity coherence across five signal sources: the property's website, TripAdvisor, Google Business Profile, OTAs (Booking.com, Airbnb), and Wikidata.
The product uses a proprietary scoring framework called the R2R Score (Ready to Recommend), which measures four dimensions: identity clarity (30%), structural extractability (30%), schema readiness (20%), and content authority (20%). Properties are classified into readiness tiers: Ready, Getting Close, Developing, and Not Ready.
AI Reveal Map offers four service levels: a free AI Readiness Scan, a $500 Ign(AI)te Strategy Session (60-minute diagnostic with PDF report and priority fixes), R2R Pro ($299/month monitoring that tracks whether a property's AI recommendation readiness is improving, drifting, or blocked), and VIP Day ($10,000 full-day entity identity and AI recommendation optimization engagement).
The methodology is based on a benchmark study of 343 boutique and independent hotels across North America, Europe, the Caribbean, and Latin America. The benchmark found that properties with aligned identity signals across all sources are recommended by AI at significantly higher rates than those with fragmented or contradictory signals. Research foundation includes the Princeton GEO study (KDD 2024), Semrush analysis of 304,000+ AI-cited URLs, and BCG/NYU Tisch Center research on AI-first hotels (March 2026).
AI Reveal Map is part of the Hacestek Ign(AI)te system, the master methodology for AI visibility, interpretability, and recommendation architecture.