Outreach vs Clay
A detailed side-by-side comparison to help you choose the right AI sales / crm agent for your needs.
Best for AI-powered multi-channel sales execution
Outreach
Outreach orchestrates AI-powered multi-channel sales execution across email, phone calls, LinkedIn messaging, and SMS, coordinating touchpoints to maximize engagement while avoiding over-contact. Smar...
AI Models
Outreach AIGPT integrationML for scoring and forecasting
Key Features
- Multi-channel execution: email, calls, LinkedIn, SMS
- Smart Email Assist for contextual reply drafting
- Deal Health scoring with CRM and engagement data
- Revenue Intelligence for pipeline forecasting
- Automated workflows with A/B testing
Pricing
Enterprise — $100-160/user/month
Pros
- Multi-channel orchestration prevents over-contact
- A/B testing enables data-driven optimization
- Smart Email Assist dramatically reduces response time
Cons
- Enterprise-only pricing not transparent
- Platform complexity requires dedicated training
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