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Alexa+ Strengthens Market Position by Integrating Angi, Expedia, Square, and Yelp
The competitive landscape for AI-powered assistants is intensifying, with Amazon making strategic moves to enhance its Alexa+ platform. Starting in 2026, the service will roll out integrations with four major service providers: Angi, Expedia, Square, and Yelp. This expansion represents Amazon’s effort to position Alexa+ as a comprehensive lifestyle management tool capable of handling diverse consumer needs.
New Capabilities Transform User Experience
The newly integrated partners will unlock a range of consumer-friendly features. Through Expedia, users can leverage natural language queries like “Can you find me pet-friendly hotels for this weekend in Chicago?” to discover, compare, and manage hotel bookings with personalized recommendations based on stated preferences. Angi enables customers to obtain service quotes and book home-related professionals. Square facilitates salon appointment scheduling, while Yelp provides venue discovery and reservation capabilities. These additions complement Alexa+'s existing network, which already includes Fodor, OpenTable, Suno, Ticketmaster, Thumbtack, and Uber.
Following the Chatbot Aggregator Model
Amazon’s approach mirrors ChatGPT’s evolution into an app integration platform. Rather than forcing users to navigate multiple websites or applications, the strategy allows consumers to accomplish tasks through conversational interfaces. A user might request an Uber ride or reserve a restaurant table via OpenTable while maintaining fluid, multi-turn dialogue with the assistant, making real-time refinements to requests without re-explaining context.
Early Adoption Signals Promise
Early engagement data provides encouraging signals. Service platforms like Thumbtack, which connects consumers with home and personal service providers, have reported notably strong user activity. Thumbtack’s performance suggests that consumers are receptive to discovering and booking services through conversational AI, validating the business model’s potential.
The Behavioral Shift Challenge
However, widespread adoption hinges on a critical factor: consumer behavior change. Traditionally, users access services through web browsers or dedicated mobile applications—a deeply ingrained habit. For AI assistants to succeed as service platforms, they must offer demonstrable convenience advantages over existing distribution channels. This requires providers to either assemble a catalog rivaling traditional app stores, or develop sophisticated recommendation algorithms that suggest relevant services at opportune moments while avoiding the perception of intrusive advertising. The balance between helpfulness and pushiness will determine whether this emerging model gains traction across mainstream audiences.