HubSpot Breeze vs Clay
A detailed side-by-side comparison to help you choose the right AI sales / crm agent for your needs.
Best for unified Marketing, Sales, and Service AI
HubSpot Breeze
HubSpot Breeze provides specialized AI agents for Content creation (blog posts, social media, SEO optimization), Prospecting (personalized outreach sequences), Customer support (ticket resolution), an...
AI Models
HubSpot Breeze AIGPT-4 integrationProprietary models
Key Features
- Specialized agents: Content, Prospecting, Customer, Social
- Data enrichment from 200M+ company records
- Copilot conversational CRM assistant
- Works across Marketing, Sales, Service Hubs
- Automated lead scoring with continuous learning
Pricing
Marketing Hub Professional — $800/month
Sales Hub Professional — $90/seat/month
Enterprise — $3,600/month
Pros
- Data enrichment saves hours of manual research
- Unified platform avoids integration headaches
- Copilot makes CRM data accessible through conversation
Cons
- Professional tier required for most AI features
- Per-seat pricing increases costs for growing teams
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