# Verimundo > Done-for-you AI visibility for hotels: Verimundo measures what AI assistants (ChatGPT, Perplexity, Gemini, Claude) say about a hotel and where they send its guests (own website vs OTA), fixes what the assistants cannot read, keeps it fixed with a monthly re-check, and proves the effect in the hotel's own analytics and bookings. Independent hotels and groups of up to five hotels. Gran Canaria first, then the rest of the Canary Islands and the Balearics. Based in Las Palmas de Gran Canaria. Works in Spanish, English and German. ## Pages - [Inicio, español](https://verimundo.com/) · [Markdown](https://verimundo.com/index.md) - [Home, English](https://verimundo.com/en/) · [Markdown](https://verimundo.com/en/index.md) - [Startseite, Deutsch](https://verimundo.com/de/) · [Markdown](https://verimundo.com/de/index.md) ## Services (EUR, ex-VAT, fixed price) - Free readout: one page, five working days. What the assistants say about the hotel today, where they link, what they get wrong. - Diagnostic: €1,500, five days. 25 questions in the guests' languages, four assistants, three runs; errors against the hotel's fact sheet; OTA routing rate; baseline in Google Analytics; fix list by impact. Credited in full against the first month. - Monthly, one hotel: €1,200 per month, three-month minimum. Verimundo executes the fixes (Google Business Profile and contact data, prices and policies as text, cited pages, bot and CDN access, booking-engine feed to ChatGPT and Claude), re-checks monthly, alerts on drift, reports with the hotel's own data. - Monthly, small group: €1,500 per month for up to five hotels of the same group on the same booking engine. ## Who it is for Independent 3 to 5 star hotels with their own website and booking engine, and groups of up to five hotels. Gran Canaria first; the rest of the Canary Islands and the Balearics on request. Hotels only. ## Local data (9 September 2026) Of 98 Gran Canaria hotel and aparthotel websites read as text, the way assistants read: 80 show no nightly price as text on the home or rooms page (independents 45 of 47; chains 35 of 51); 68 are only partially readable (booking widget, thin text, policies in PDFs); 4 are unreadable (expired certificate, empty pages, robots.txt blocking GPTBot and ClaudeBot). Refreshed monthly. ## Evidence used ChatGPT and Gemini send about nine in ten hotel links to the hotel's own site but reconstruct prices from web pages with 19 to 47% error (Sitter, 2026). Google AI Mode sends 79% of hotel links to the Google Business Profile and 16% to the hotel site (4,000 queries, February 2026). Google AI Mode books hotels in the US since 27 August 2026 through ten chain and OTA partners; independents are not bookable there. llms.txt files show no measurable use by assistants (Ahrefs, 137,000 sites, 2026): this file is hygiene, not a lever. ## Method Fixed, versioned prompt sets per hotel run across the assistants; results reported as shares, never single answers; accuracy graded against the hotel's own fact sheet; readability checked as an assistant reads the site (no JavaScript, declared bot user agents, CDN response); AI-referred traffic and bookings read from the hotel's own analytics and booking engine. ## Contact - Founder: David Nagy - Free readout request: https://verimundo.com/#baseline - Location: Las Palmas de Gran Canaria, Spain