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We asked ChatGPT about 20 Indian hotel brands. 13 were invisible.

Travel is one of the first categories where AI is actively replacing the search-and-scroll process. "Best hotel brand in India for a hill station holiday?" "Which Indian hotel chain has the best loyalty programme?" "Recommend a mid-budget business hotel in Hyderabad." Our study found that 13 of 20 Indian hotel chains were invisible to these queries — and the majority that did appear were described using OTA-filtered information rather than brand-owned content.

How we tested

We selected 20 brands spanning luxury, mid-scale, budget, and holiday-segment chains — including Indian Hotels Company / Taj Hotels, Lemon Tree Hotels, Mahindra Holidays & Resorts, The Lalit Hotels, Sarovar Hotels, Sterling Resorts, Club Mahindra, Treebo Hotels, FabHotels, Zostel, Keys Hotels, Royal Orchid Hotels, Sayaji Hotels, Kamat Hotels, Bharat Hotels / The Grand, Berggruen Hotels / Lemon Tree-affiliated, WelcomHotel (ITC), InterGlobe Hotels / ibis India, Vista Rooms, and OYO-flagged branded properties.

We ran three prompt types across ChatGPT (GPT-4o), Gemini Advanced, and Perplexity:

• Traveller prompts — "best mid-budget Indian hotel chain for business travel", "which Indian hotel brand is known for consistent quality across cities?", "recommend an Indian heritage hotel chain for a family holiday"
• Direct prompts — "what is [hotel chain] known for?", "how many properties does [chain] have in India?"
• Comparison prompts — "[chain A] vs [chain B] — which is better for a leisure trip to Rajasthan?"

What we found

• 13 of 20 hotel brands never appeared in any category recommendation query — despite many having strong OTA ratings, loyalty programme members, and decades of operating history.
• Of the 7 that appeared, 5 had material errors — individual flagship properties described as the full chain, city presence understated or overstated, loyalty programme benefits described incorrectly, and post-acquisition brand identities not reflected.
• Only 2 of 20 were both consistently visible and accurately described — a 10% pass rate in a category where AI is already influencing booking decisions.
• AI responses for hotel queries disproportionately cited travel publications and Wikipedia — brands with editorial coverage in Condé Nast Traveller India, Forbes Travel, and similar publications appeared consistently; brands without it were invisible regardless of OTA standing.

What the invisible 13 had in common

1. OTA optimisation is a different game from AI entity building. A chain can have a perfect Booking.com score, a top-ranked Tripadvisor listing, and premium placement on MakeMyTrip — and still be completely invisible when a traveller asks AI for a hotel recommendation. OTA algorithms and AI retrieval pipelines don't share sources.
2. Property descriptions live on platforms the chain doesn't control. Most hotel chains' most detailed public-facing content — room specs, amenity lists, location descriptions — is published on OTA platforms, not on their own websites. When AI needs to describe a chain, it either can't find brand-owned content, or finds the OTA-filtered version.
3. The chain brand entity is undefined. AI knows what the Taj Mahal Palace Mumbai is. It often doesn't know what "Indian Hotels Company" is, or how to describe the Taj group as an entity versus as individual iconic properties. Chain-level entity building — articulating what the brand stands for across all its properties — is almost entirely missing.
4. No original travel content to cite. Hotel chains with AI presence had published editorial-quality destination guides, hospitality thought leadership, or travel trend reports. The invisible chains produced nothing citable — their content was purely transactional (book a room, check availability).

What to do about it

Hotel chains need to invest in the brand entity layer: a clear, crawlable description of what the chain stands for, where it operates, who it serves, and what makes it distinctive. Paired with editorial travel content and earned press coverage, this creates the AI footprint that OTA investment never builds. Full playbook in our Complete GEO Guide.