Yelp adds AI-powered search and booking for local services

Yelp’s AI Assistant Redefines Local Services with Instant Search and Bookings

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Yelp adds AI-powered search and booking for local services

A Smarter Way to Find and Book Local Options (Image Credits: Unsplash)

Yelp has expanded its platform beyond user reviews into a comprehensive hub for local discovery and action. The company introduced AI-powered search capabilities and direct booking options for services like haircuts, medical appointments, and food deliveries. These updates position Yelp as a one-stop solution amid rising competition from general AI tools.

A Smarter Way to Find and Book Local Options

The Yelp Assistant now occupies its own dedicated tab in the app, delivering tailored responses to queries about businesses and activities. It scans reviews, photos, and business details to suggest spots like off-leash dog parks or date-night restaurants, complete with explanations for each recommendation. Users receive not just lists but narratives that highlight why a place fits their needs, drawing from verified sources.

This approach addresses common pain points in AI interactions. For instance, follow-up questions about parking or menu options pull directly from user-submitted content, fostering reliability. Yelp executives emphasized this transparency during demonstrations, noting how explanations build user excitement and trust.

Seamless Integrations Power Direct Reservations

Bookings now happen straight from business pages or Assistant chats via partnerships with DoorDash for deliveries, Zocdoc for doctors, and Vagaro for salons. Previously limited to quote requests for home repairs or beauty services, the platform now handles immediate actions. These features launched first on iOS, with Android and desktop rollouts planned soon, plus Calendly support ahead.

Additional tools enhance the experience. Menu Vision, introduced last fall, lets users scan restaurant menus to access dish photos, popular picks, and linked reviews. Recent improvements expanded its recognition capabilities, making it more effective at surfacing relevant details.

Leveraging Reviews for AI Trust in a Competitive Landscape

Yelp confronts rivals like broad AI search engines and social influencers by emphasizing its vast review database – 22 million new ones added in 2025, a 7% increase. A company survey revealed that while 65% of Americans used AI tools recently, over half found results hard to verify, prompting 63% to cross-check with review sites. This gap underscores Yelp’s strength in local accuracy, especially for hours and availability.

“We would like consumers to reconceive Yelp not just as a place where they read reviews,” said Akhil Kuduvalli Ramesh, Yelp’s SVP of product, “but as a place where they can actually find answers and complete their actions.” The platform also introduced an AI-personalized home feed on iOS, prioritizing updates from known contacts and relevant content.

Strong Financials Back AI Investments

The company reported record net revenue of $1.46 billion in 2025, up 4% from the prior year, with net income reaching $146 million.Yelp’s investor relations highlighted services advertising as the revenue driver, generating $948 million versus $444 million from restaurants and retail. These figures reflect growing reliance on Yelp for high-value local transactions.

Key revenue sources break down as follows:

Category 2025 Revenue
Services Businesses $948 million
Restaurants, Retail & Other $444 million
Total Net Revenue $1.46 billion

Investments in AI aim to sustain this momentum while countering shifts toward influencer-driven or generic AI advice.

Key Takeaways

  • Yelp Assistant combines AI search with review-backed narratives for transparent recommendations.
  • Live integrations with DoorDash, Zocdoc, and Vagaro enable instant bookings, expanding soon to more platforms.
  • Survey data shows users distrust generic AI, favoring Yelp’s verified local insights.

Yelp’s pivot signals a broader trend: trusted review ecosystems evolving into action-oriented platforms. As AI reshapes discovery, platforms rooted in community data may hold the edge. What changes would you like to see next in local service apps? Share your thoughts in the comments.

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Lucas Hayes

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