15 GTM prompts. Copy and run.
Every prompt I use across my GTM stack — cold email, BANT extraction, account research, reply classification. Tested in production. Drop them into Claude, GPT-4o, or your Clay AI columns.
Paste in company data and get a structured ICP fit score with reasoning. I use this in Clay to triage lists before they hit any sequence.
Generates a personalised opening line from a LinkedIn profile or company page. Runs as an AI column in Clay — one line per row, no manual writing.
Feed in a raw call transcript and get structured BANT fields back. This is the core prompt behind my HubSpot AI notetaker — runs after every Deepgram transcription.
Classifies inbound cold email replies so each one gets routed correctly. I run this in n8n — interested replies fire a Slack alert, OOOs get auto-bumped, not-interested are logged and suppressed.
Deep research brief on a target account before a call or outreach. I use this before any strategic outreach — it takes 30 seconds and replaces 20 minutes of manual Googling.
Paste a job description and extract what's broken in their GTM stack. Job ads are the most honest thing companies publish — they list exactly what's not working.
Short, non-salesy LinkedIn connection requests that actually get accepted. I keep these under 200 characters — anything longer gets ignored.
Generates a tailored discovery script before a first call. I run this with company context from Clay — so every call prep takes 2 minutes instead of 20.
Given an objection, generates 3 ways to handle it — a direct response, a reframe, and a question to redirect. I use this for coaching reps and prepping for hard conversations.
Writes a follow-up that adds value instead of just bumping the thread. The goal is to give them a reason to reply, not just remind them you exist.
A company just raised. Here's how I write the outreach — specifically for the 30-day window after a funding announcement when they are actively spending on growth infrastructure.
Give it a job title and I get a full buyer persona back — what they care about, how they measure success, what keeps them up at night. I use this before building any outreach sequence.
Generates 10 subject line variants across different angles — curiosity, specificity, social proof, pain. I A/B test the top 2 before scaling any sequence.
Turns raw call notes or a transcript into a clean CRM entry. I run this as part of my HubSpot AI pipeline — every call gets a structured note pushed to the deal record automatically.
When automated enrichment fails, I use this to manually research a contact from a company domain. It tells the AI exactly what to look for and in what order — mirrors how I set up Clay waterfalls.