Programmatic GTM Playbooks, From a Clay Advisor Since 2020
One company URL in. A hard-data play out. You still write the message.
Every revenue team bought the same AI. So everyone sends the same email — same opener, same "saw you're hiring," same "congrats on the raise."
Here's the thing about average. AI is a machine for producing it. Feed it the prompt everyone feeds it and you get the same competent, forgettable paragraph everyone gets. Average is free now, and nobody reads the floor.
What gives you the edge is what you know about a buyer's situation — and about the competitors circling them — that they can't see for themselves. So I built a tool that goes and finds it.
What it does
You hand it one company's website. It hands back a GTM playbook — who to target, the public data that proves they're in pain, and the messages to send — in about twelve minutes.
Here's a run, start to finish. Say you sell safety-compliance software, and your buyers are plant safety managers.
It reads your site and works out what you sell and who feels the pain.
It goes hunting for public records that prove a plant is in trouble right now — and lands on OSHA's enforcement data. Every serious workplace-safety violation a U.S. employer gets is public record, with an inspection number, a date, a violation type, and a dollar penalty.
It builds a segment the list-sellers don't have: plants the government cited for a willful or repeat violation in the last ninety days — the exact thing your product prevents.
It drafts the outreach — a message that names the inspection, the date, and the penalty, and hands the reader something useful about it without asking for anything back.
It shows the math behind every number it used.
That's the shape. You give it a URL; it gives you a play grounded in a record the buyer can click.
A few it's already built
The safety example up top is illustrative. These are real. Point it at a real company and it does real work — hundreds of these are already public. Here are ten, each grounded in a public dataset you can go check yourself:
Fiserv — FDIC enforcement actions, CFPB complaints, and FFIEC deposit data to find ZIP-level customer-underservice gaps.
Everlaw — PACER federal court records to flag privilege-log gaps before opposing counsel does.
BeyondTrust — the HHS breach portal to reach healthcare facilities right after an insider breach.
Vantage Risk — EPA violations and OSHA serious-to-willful reclassification deadlines for oil & gas risk.
ArrowStream — 130,000+ restaurant purchase orders and state health inspections to show distributors their pricing gaps.
DoorLoop — HUD inspection scores and expiring housing contracts to find failing affordable-housing properties.
Deenova — CMS infection metrics and state sterilization citations to surface hospital instrument-tracking failures.
ComplyAuto — OSHA Establishment Search and FTC Safeguards breach data for dealerships nearing a willful violation.
AGRIVI — the FDA Food Traceability List and USDA data to reach farms against FSMA deadlines.
CHA Consulting — FTA grants and EPA water-permit data to find transit and water utilities with budget gaps.
Different industry every time. Same move: a public record nobody else bothered to read, turned into a reason to call.
Want one for your own company? Generate it at playbooks.blueprintgtm.com — or browse the rest by industry while you're there.
Why this works when "punchier copy" doesn't
Most people aim AI at the email — make it sharper, write ten variants. That's polishing the floor.
The records are where the edge is. Court filings, regulatory orders, permits, license actions, inspections, government data job by job — all public, all sitting there. No human can read all of it. AI can read thousands of those records, find the three that matter, and pull the exact number, date, and dollar figure that proves the pain.
When you know exactly who's in pain and can prove it with a record, the words barely matter — but you still have to write them.
I built it to sound plausible. Don’t believe AI’s bullshit.
The engine is built to produce very plausible output. So the messages it drafts look finished. They aren't.
The engine nails the targeting — the right segment, the real record, the proof. Then it drafts the outreach, and the draft reads like a robot reading the database back to you. Specific, competent, lifeless.
So the draft is a starting point. You take the angle to a real customer who lives in that pain and ask them if it lands. Then you write the note yourself, like someone who actually understands the situation.
The machine manufactures the playbooks. You still evaluate them and write the message. That last mile is yours.
You can run this engine yourself now
I've been a Clay advisor since 2020, and for years my team built these plays by hand for clients. We packaged the method into a tool.
Give it one company's website — yours, or an account you want to land. It runs the whole pass: reads the site, works out who they sell to, scans public records across fifty-plus sources, scores the segments against the same gates we use internally, and drafts two pain-qualified messages and two permissionless-gift messages — each with the math behind every number.
The first door is done-for-you. Go to playbooks.blueprintgtm.com, type in a company website, and a full playbook comes back in twelve to fifteen minutes. It's $49.99. One company, one time. No subscription, no account to babysit.
The second door is for people who want to run it again and again — and who want to see exactly how the engine decides what's real. That's below.
— Written by Claude Opus 4.8, Approved by Jordan
Who Gets This
Above this line: what the tool does, and why pointing AI at public records beats sharper copy. Below it: the full run, step by step, on a worked example — and what a finished play actually looks like.
Free: what it does — the public records it pulls, how it turns them into a segment, and why the draft copy still needs you.
$50/mo (most readers start here): the whole engine on one example — how it locks the problem, builds a niche with a data moat, lists the exact record fields it'll use, grades its own confidence, scores a message the way the buyer would, and the anatomy of a finished play with the worksheet behind the number.
$2,499/yr: Every tool I ship. Edge Copilot is how you talk to all of it through Claude Code. Current tools: Edge Copilot, AutoClaygent, Agent 7, Who to Target and What to Say, Blueprint Cloud, Technology Finder, Video List Extractor, Competitor Monitor, LinkedIn Engagement, Domain & LinkedIn Finder, Dossier Builder, PDF Contact Finder, TAM Contact Harvester, Find a Rep, Blueprint Playbook. Whatever ships next is included. Plus all 3 courses + weekly office hours.