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Marketing & Small Business2 min read

Yelp adds Check for Me voice agent to call restaurants for wait times

Yelp introduced a new feature called Check for Me that lets users type in their party size and phone number, after which an AI voice agent calls the restaurant, checks the wait time and texts the result back. The tool appears on restaurant pages in the Yelp app and builds on the company’s earlier voice solution for businesses. Yelp also integrated OpenTable booking, added personalized memory to…

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What you can do with it

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Smart Lead Reply by Yelp

Reply to leads in minutes, right inside Yelp for your business

What you get You can answer lead messages and track inquiry status.

Automatically texts wait-time info to users and replies to lead messages.

Who for
marketers, founders and sales
Cost
paid from $30
Effort
minutes

Use it for

  • Answer lead messages
  • Qualify prospects
  • Track inquiry status

Watch out Only for Yelp business accounts

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Key points from the news

  • Yelp's Check for Me lets users enter party size and phone number, then an AI voice agent calls the restaurant and texts wait time results.
  • The feature integrates OpenTable booking, adds personalized memory, 30‑day chat history and will show weekly recommendations next month.
  • Yelp's Smart Lead Reply, a paid AI tool for businesses, costs $30 per month and lets owners script agent responses.

The update includes a paid product for businesses named Smart Lead Reply, which lets owners set how an AI agent responds to customer inquiries and costs $30 per month. Yelp’s broader AI push also adds 30‑day chat history, custom reminders, and new list‑building features, while noting that agent‑to‑agent conversations could sometimes break down. Other firms such as Meta are also offering AI tools for small‑business customer support.

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Full story from TechCrunch AI · by Ivan MehtaOpen source ↗

Yelp can now call on your behalf to check wait times at a restaurant

TechCrunch AI · 20 October 2026

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This text was published by TechCrunch AI and written by Ivan Mehta. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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