M Company Profile

Yelp is a fun and easy way to find, recommend and talk about what's great - and not so great - in San Francisco and beyond. Members share their favorite ...

Industry: Media

Segment: AdTech/AdNetwork

Team size: 501-1000

Competitors: hokksushiramenwa.com, mooreok.municipalonlinepayments.com

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

M

Yelp is a fun and easy way to find, recommend and talk about what's great - and not so great - in San Francisco and beyond. Members share their favorite ...
M logo

AI-verified profile

Yelp is a fun and easy way to find, recommend and talk about what's great - and not so great - in San Francisco and beyond. Members share their favorite ...

Employees

501-1000

Pricing

Public pricing page

AI Classification

MediaAdTech/AdNetwork

Yelp operates a consumer-facing local business review and discovery platform, monetizing through B2B advertising products—including promoted listings, enhanced business profiles, and Yelp Ads—sold to local SMBs and national brand advertisers. The company is publicly traded and generates revenue at scale from its advertiser base across service, restaurant, and retail categories.

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Social Links

Competitors

hokksushiramenwa.commooreok.municipalonlinepayments.com

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

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