Buyer Intel Agent

Buyer intelligence,
sourced down to the signal.

Turn calls, reviews, and research into a structured view of buyer pain, decision criteria, and triggers. Every claim links back to the call or doc it came from.

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You think you know your buyer.

Your personas are based on 6 interviews from 2 years ago. Your messaging targets "decision makers" because you're not sure who actually holds the budget. Your sales team learns the real pain points-but that intel never makes it back to marketing.

Personas based on assumptions, not data
Sales insights stuck in call recordings
The Old Way
Buyer_Personas_v3_FINAL.docx
"Marketing Mary"
Title:VP Marketing (probably?)
Pain points:"Needs better tools"
Decision criteria:Unknown
Budget authority:¯\_(ツ)_/¯
Based on 4 interviewsLast updated: March 2022

Data-driven personas.
Not guesswork.

Pain Point Analysis

Identifies real pain points from sales calls, reviews, and support tickets-not assumed ones.

Call Intelligence

Listens to Gong/Chorus calls to surface objections, concerns, and decision criteria at scale.

Trend Detection

Spots emerging buyer needs before they become obvious-so you can build for tomorrow's market.

Example Interaction

"What do enterprise buyers care about?"

We're moving upmarket. What do enterprise buyers actually care about when evaluating us?

I analyzed 127 enterprise sales calls from the last quarter. Here are the top decision criteria:

1
Security & Compliance

Mentioned in 89% of calls. SOC2 is table stakes.

2
Integration with existing stack

Mentioned in 72% of calls. Salesforce is critical.

3
Time to value

58% ask about implementation timeline.

Emerging trend: "AI governance" mentioned 3x more this quarter vs. last. Consider adding to messaging.

Common Questions

Stop guessing.
Start knowing.

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