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UsedBy.ai
2026 Comparison

Listen vs Fathom

Data-driven comparison based on 36+ enterprise adoption patterns

Higher Adoption
Listen

Listen

27
Companies
AI Search & Research
Category
Fathom

Fathom

by Fathom

9
Companies
Meeting Assistants
Category
Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 36 verified enterprise adoptions. More data being indexed continuously.

Feature & Adoption Comparison

MetricListenFathom
Enterprise Adoption
27 companies9 companies
Category
AI Search & ResearchMeeting Assistants
Pricing Model
Contact SalesFREEMIUM
Free Trial
Website
Visit Visit
Decision Guide

Which One Should You Choose?

Based on real enterprise adoption patterns

Listen

Choose Listen if...

  • You want the most validated option (27+ enterprises)
Try Listen
Fathom

Choose Fathom if...

  • You're in Marketing Tech (33% of users are)
Try Fathom
UsedBy Exclusive Data

Industry Adoption Patterns

See which industries prefer each tool based on real adoption data

Listen

Listen by Industry

Media & Publishing12%
Marketing Tech12%
Fashion & Apparel12%
Management Consulting8%
Artificial Intelligence8%
Fathom

Fathom by Industry

Fathom is the go-to choice for Marketing Tech (33% of adopters)

Marketing Tech33%
DevTools & Infrastructure22%
HR & Recruiting11%
Telecommunications11%
Restaurants & Food Services11%

Listen vs Fathom: Your Questions Answered

Listen has higher enterprise adoption with 27 companies using it, compared to 9 for Fathom. 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 Fathom dominates in Marketing Tech (33%). Choose based on your industry's prevailing stack.
For startups, consider: Listen offers flexible pricing, while Fathom uses freemium pricing. Both are validated by enterprise use, ensuring scalability as you grow.

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