Attention vs People.ai (Backstory)
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Attention if you want ai for sales calls: coaching scorecards, crm auto-fill, and follow-ups (Copilot, contact); choose People.ai (Backstory) if you want revenue intelligence that captures activity and answers pipeline questions (Copilot, subscription).
| Attention | People.ai (Backstory) | |
|---|---|---|
| What it is | AI for sales calls: coaching scorecards, CRM auto-fill, and follow-ups | Revenue intelligence that captures activity and answers pipeline questions |
| Type | product-with-agents | platform |
| Autonomy | Copilot | Copilot |
| Pricing | contact | subscription |
| Best for | smb, mid-market, enterprise | enterprise, mid-market |
| Deployment | saas | saas, api |
| Modalities | voice, text, email | text, api |
| Models | model-agnostic | model-agnostic, proprietary |
| Protocols | rest-api | mcp, rest-api |
| Integrations | Salesforce, HubSpot, Zoom, Gong, Slack, Gmail | Salesforce, Microsoft 365, Oracle, Zoom, Slack, Webex |
| Capabilities | 4 documented | 4 documented |
Attention
- +Real-time coaching scorecards tied to a team's own frameworks
- +Automates CRM updates and follow-up drafting from conversations
- +Plain-English querying across calls, emails, and CRM
- -Assistant/copilot for sellers, not an autonomous closer
- -No public pricing
People.ai (Backstory)
- +Automatic activity capture genuinely cuts manual CRM entry
- +Mature, decade-long data foundation underpins forecasting and the "answers" pitch
- +Open MCP architecture works with existing AI tools rather than a walled garden
- -Reviewers report limited dashboard customization and non-intuitive UX
- -Capture from some channels (LinkedIn, Slack) can be incomplete and call data can lag
Which should you choose?
Attention is ai for sales calls: coaching scorecards, crm auto-fill, and follow-ups, best for smb, mid-market, enterprise. People.ai (Backstory) is revenue intelligence that captures activity and answers pipeline questions, best for enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.