Why this system exists
Standard lists identify companies that fit on paper but do not explain why an account may need help now or what evidence should shape the first conversation.
Signal-Based Prospecting
Public Company AI Prospecting
Finds smaller US-listed companies showing public evidence of AI need, scores the evidence, finds decision-makers, and drafts outreach for review.
What it produces
A ranked, evidence-backed account list with decision-makers and drafted outreach, plus a feedback loop that shows which signals lead to replies and meetings.
System overview
How the playbook moves from input to outcome.
Each stage has one job. The sequence stays visible while the active state moves through the system.
01
Discover
Screen the SEC universe or ingest selected tickers.
02
Enrich
Collect filing and web evidence with cited sources.
03
Score
Rank intent, capability gap, timing, and commercial fit.
04
People
Find the right decision-makers at qualified accounts.
05
Messages
Draft evidence-grounded outreach without sending it.
06
Learn
Record outcomes and examine which signals convert.
Evidence score
Four components add up to 100.
Intent30
Capability gap25
Timing25
Commercial fit20
Decision bands
65–100 · Qualified
Requires a hard signal and fresh outreach angle.
45–64 · Human review
The system pauses instead of forcing a verdict.
0–44 · Disqualified
No further research budget is spent.
Preview complete
Unlock the full Public Company AI Prospecting playbook.
See the implementation details that turn the overview into a working system.
- Inputs and outputs
- Repository structure
- Guardrails and setup steps