Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 39 verified enterprise adoptions. More data being indexed continuously.
Decision Guide
Which One Should You Choose?
Based on real enterprise adoption patterns
UsedBy Exclusive Data
Industry Adoption Patterns
See which industries prefer each tool based on real adoption data
Listen by Industry
Media & Publishing12%
Marketing Tech12%
Fashion & Apparel12%
Management Consulting8%
Artificial Intelligence8%
LangSmith by Industry
HR & Recruiting17%
Data & Analytics8%
Cybersecurity8%
Retail8%
Energy, Utilities & Cleantech8%
Real User Feedback
What Users Say
Testimonials from verified enterprise users
No testimonials available yet
“Our Copilot saves property managers 10+ hours weekly thanks to LangSmith observability”
AppFolio Team
Product Engineering, AppFolio
Listen vs LangSmith: Your Questions Answered
Listen has higher enterprise adoption with 27 companies using it, compared to 12 for LangSmith. This suggests stronger market validation for Listen.
While our data doesn't show companies currently using both tools together, they serve different purposes and could potentially complement each other.
Listen is particularly strong in Media & Publishing (12% of adopters), while LangSmith dominates in HR & Recruiting (17%). Choose based on your industry's prevailing stack.
For startups, consider: Listen offers flexible pricing, while LangSmith uses competitive pricing. Both are validated by enterprise use, ensuring scalability as you grow.
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