Take the Buyer Model from Part 1 and turn it into outbound sequences that sound like they were written by someone who actually understands the prospect.

The Custom Artifact — How It Works

I built a Custom GPT specifically for turning buyer research into DM sequences. It's pre-configured with outbound messaging frameworks, objection handling structures, and the right prompting to generate sequences that don't sound like AI wrote them.

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LINK: https://claude.ai/public/artifacts/b1dea211-074c-47f8-baae-208c4431fbfb

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What it generates:

• DM sequences — Multi-step LinkedIn message sequences with natural escalation • Voice note scripts — Short, conversational scripts that sound human when recorded • Objection handling replies — Pre-built responses for the objection archetypes from your Buyer Model • Follow-up angles — Multiple re-engagement paths tied to different buying triggers

How to use it:

1. Open the link above.
2. Paste your Buyer Model from Part 1 as your first message. The GPT needs this as its foundation — without it, you'll get generic sequences.
3. Tell it what you need. Be specific: "Generate a 3-step LinkedIn DM sequence for Series B RevOps leads" or "Write objection handling replies for the top 3 objections in the model."
4. Iterate. If something feels off, tell the artifact what to fix. It responds well to specific feedback like "make step 2 shorter" or "the tone is too formal for LinkedIn."

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■ Don't skip pasting the Buyer Model. The artifact without the model is just another DM generator. The model is what gives it depth.

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