[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"leaderboard-industry-hotel-booking-platforms":3,"leaderboard-industries-CATEGORY":32},{"id":4,"slug":5,"nameCn":6,"nameEn":7,"collectionType":8,"brandCount":9,"contentIntro":10,"contentSummary":11,"contentEngineNotes":12,"contentWhyItMatters":13,"seoTitleOverride":14,"seoDescriptionOverride":15,"faq":16,"engines":26,"overallRankings":27,"latestRuns":28,"liveInsights":29},93,"hotel-booking-platforms","酒店预订平台","Hotel Booking Platforms","CATEGORY",23,"Hotel Booking Platforms tracks which products are most consistently surfaced by AI answer engines in this category. In the latest public snapshot, Booking.com, Expedia, and Agoda lead the overall ranking across 8 engines.\n\nThe overall AI Index combines ranking strength and mention-rate signals. Booking.com ranks #1 with a 95.4 AI Index and 95.2% mention rate, leading Expedia by 4.1 points.\n\nUse the engine tabs to see where that position comes from. The overall view shows the combined category ranking, while engine-level views show whether a product is broadly visible or depends on strength in only a few answer systems.","Booking.com is the current #1 entity in Hotel Booking Platforms, with a 95.4 AI Index and 95.2% mention rate. Within this public leaderboard snapshot, it is the clearest benchmark for how tracked AI systems answer Hotel Booking Platforms comparison prompts.\n\nExpedia ranks #2 and trails Booking.com by 4.1 AI Index points. That gap is the first number to check when deciding whether the top of the category is leader-dominated or closely contested.\n\nAgoda ranks #3 and completes the current podium. Comparing the top three across individual engine tabs helps separate broad recommendation consistency from single-engine strength.\n\nThe latest public snapshot refreshed on 2026-05-06, covering 8 engines and 23 entities. Freshness matters because AI recommendations can shift as models, retrieval sources, prompts, and category evidence change.","Use the engine tabs to compare how ChatGPT, gemini, Grok, and Claude rank brands differently. Some engines reward category authority while others emphasize popularity, recency, regional evidence, or recommendation style, so individual rankings can diverge from the overall leaderboard.","The overall ranking gives a fast read on which products AI systems currently surface most often for Hotel Booking Platforms prompts. The engine tabs add the important detail: they show where visibility is broad, uneven, or concentrated in one answer system.\n\nRank alone is not enough. Mention rate, score gaps, refresh date, and engine-level outliers help show whether a product's position looks durable or depends on a narrower set of prompts and engines. Read this page as AI visibility evidence, not as a product-quality, compliance, safety, or market-share ranking.","Hotel Booking Platforms AI Rankings | AIvsRank Leaderboard","Compare Hotel Booking Platforms AI rankings across major answer engines. Track visibility scores, mention rates, and fresh leaderboard changes on AIvsRank.",[17,20,23],{"question":18,"answer":19},"How is the Hotel Booking Platforms leaderboard calculated?","Overall ranking combines the latest AI visibility signals across tracked engines for Hotel Booking Platforms, including rank position, recommendation strength, and mention-rate patterns.",{"question":21,"answer":22},"Why can the current leader lead overall but differ by engine?","Each AI engine can prefer different brands, evidence, freshness, and recommendation patterns, so engine-specific rankings can diverge from the combined leaderboard.",{"question":24,"answer":25},"How often is this Hotel Booking Platforms leaderboard updated?","This leaderboard updates whenever new completed runs are available for Hotel Booking Platforms, with the latest refresh date shown on the 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