Insights

AI search research

IndustriesTravel & hospitality2026-10-07

Which hotel does AI recommend? Rating +31.6pp, high price −30.0, list position worth $12 a night

A randomised audit quantified the signal weights behind AI hotel picks: rating and price dominate, eco-certification is overweighted and management responses are ignored.

Design: a pre-specified choice-based conjoint audit across personas, prompt templates and twelve open-weight and proprietary models, asking assistants to choose among five hotels with guest rating, review volume and recency, management response, chain affiliation, price, eco-certification and list position independently randomised.

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IndustriesTravel & hospitality2026-10-06

AI now reads the reviews for you: summaries plus targeted questions replace scrolling

The decisive information in accommodation decisions lives in unstructured reviews, and summarising them with query support noticeably shortens the search.

Context: booking platforms such as Booking.com and Airbnb expose enormous volumes of data; structured filters cover stars, amenities and price, but the most valuable signals sit in unstructured review text.

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IndustriesTravel & hospitality2026-10-05

Turning reviews into an intent graph: how platforms infer what guests really want

Machines do not just read sentiment in reviews, they reconstruct unstated needs — and that drives which guests each property gets matched to.

Method: build a user-specific intent knowledge graph from each review, align it with a global hotel knowledge graph through structure-aware semantic smoothing, then let an LLM jointly predict aspect ratings and generate reverse user-intent statements.

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IndustriesTravel & hospitality2026-10-04

Travel and hospitality: AI itineraries collapse under delays and crowds

Existing benchmarks assume a deterministic world. Add real delays and crowd fluctuations and the gap between model plans and human plans becomes obvious.

Data scale: real travel data spanning 504 cities in India, including attractions, restaurants, accommodation and multi-modal transport networks.

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