Apollo.io vs Clay
A detailed side-by-side comparison to help you choose the right AI sales / crm agent for your needs.
Best for B2B prospecting with massive contact database
Apollo.io
Apollo.io provides access to over 275 million contacts and 73 million companies, making it one of the largest B2B prospecting databases available with extensive coverage across industries and geograph...
AI Models
Apollo AIML-based lead scoringNLP for email generation
Key Features
- 275M+ contacts and 73M+ companies database
- AI-powered lead scoring with conversion prediction
- Multi-channel sequences: email, LinkedIn, phone
- AI email writer with personalization from prospect data
- Intent signals identifying active buyers
Pricing
Free — $0/month
Basic — $49/user/month
Professional — $79/user/month
Organization — $119/user/month
Pros
- Massive contact database reduces manual prospecting
- Intent signals provide perfect outreach timing
- Free tier offers substantial value for small teams
Cons
- Data accuracy varies across database segments
- Email credits can run out quickly on lower tiers
Best data enrichment and personalized outreach platform with 75+ data providers
Clay
Clay is a powerful data enrichment and outbound personalization platform that aggregates data from 75+ providers—including Clearbit, LinkedIn, Apollo, Hunter, BuiltWith, and dozens more—into a single ...
AI Models
GPT-4oClaygent web research AICustom enrichment models
Key Features
- 75+ data provider integrations in single enrichment workspace
- Claygent AI research agent answering custom prospect questions
- Waterfall enrichment maximizing data coverage without duplicate spend
- AI email writer generating deeply personalized outreach from enriched data
- Spreadsheet-like interface with formulas and conditional logic
Pricing
Launch — $185/month
Growth — $495/month
Enterprise — Custom
Pros
- 75+ data providers in one workflow eliminates the need to manage multiple tools
- Claygent answers custom research questions no static database can address
- Waterfall enrichment maximizes coverage while minimizing redundant data spend
Cons
- Credit-based pricing can escalate quickly at scale without careful management
- Steep learning curve for non-technical users—best suited for growth engineers