Amadeus Hospitality vs Booking.com

Booking.com renews partnership with UEFA national team competitions

The world's leading online travel booking platform will continue as the official accommodation and attractions partner, helping fans plan and experience their football journeys across UEFA ...

Google’s AI Mode Adds Flight Tracking and Hotel Booking

Google announced updates to AI Mode, its conversational search experience, enabling users to track flight prices, book hotels, and view flight and hotel costs in points or miles. AI Mode can now show options and latest prices from more than 300 airlines and travel sites, allow users to build itineraries or track prices with email alerts, and complete hotel bookings via a “Continue on Google” flow that uses partners and Google Pay. Flight price tracking is available in over 180 countries, and hotel booking has begun rolling out in the U.S. in English with multiple major hotel chains and travel sites as partners.

• Google updated AI Mode to let users track flight prices, book hotels, and see costs in points or miles.
• AI Mode displays prices from more than 300 airlines and travel sites and can build itineraries or track prices with email alerts.
• Flight price tracking in AI Mode is available in more than 180 countries.

Study: AI visibility often diverges from SEO rankings

Fractl analyzed how three large language models (GPT-4o, Gemini 2.5 Flash, and Claude Sonnet 4.6) referenced brands across eight industries and compared those references to traditional SEO metrics from Ahrefs. While more than 90% of brands showed alignment between search authority and AI visibility, notable outliers existed: about 5% of brands (471) were underrepresented in model responses and about 4% (377) overperformed relative to their SEO footprint. Only 11% of brands were referenced by all three models, and model-specific recall patterns (e.g., Claude favoring SaaS/insurance, Gemini favoring travel/healthcare) create measurement and strategy challenges. The study concludes brands should measure AI recall separately, strengthen third-party corroboration, and fix categorization signals to improve AI recall.

• Fractl analyzed 4,320 model responses and more than 8,500 unique brand references across eight industries.
• About 5% of brands (471) were underexposed in LLMs despite high domain ratings and organic traffic.
• About 4% of brands (377) overperformed in AI references relative to their traditional SEO metrics.