AI Lead Research
Build qualified prospect lists with research and outreach angles.
$200–$10,000+
$0–$500
5–15 hrs/week
2–5 weeks
6 / 10
Very High
AI tools you'd use
Overview
Research and personalization are the two genuinely repetitive, measurable parts of prospecting — building a qualified list (Apollo, Clay, Perplexity), verifying contacts, and attaching a specific outreach angle per prospect rather than a generic template. Sold as a sample batch first, then a larger project or retainer, to B2B agencies, SaaS and consultants who track how many delivered leads actually convert to meetings.
Why it works
Building a genuinely qualified prospect list means research and enrichment work that's repetitive by nature but also fully measurable — how many delivered leads actually convert to meetings. AI handles the volume; the outreach angle attached to each prospect is what determines whether a list converts or gets ignored.
How it makes money
Project + retainer
How to start
- Pick a specific ideal customer profile (ICP) — industry, company size, role — rather than 'anyone who might buy'.
- Build a test list of 50-100 prospects matching that ICP using Apollo or Clay.
- Enrich each record with firmographic and contact data before any outreach angle is written.
- Verify emails and key facts to keep bounce rates and embarrassing errors low.
- Summarize each prospect's relevant context (recent funding, hiring, product launch) using Perplexity or ChatGPT.
- Add a specific outreach angle per prospect based on that research, not a generic template.
- Send a sample batch of 10-15 enriched, angle-ready leads to the prospective client.
- Sell a larger batch once the sample proves the research quality.
- Track how many of the delivered leads actually convert to meetings.
- Retain the client on an ongoing list-building cadence once conversion is proven.
Tags
- sales
- chatgpt
- claude
- apollo
- clay
- perplexity
- b2b-agencies
- saas
- consultants
- project-retainer
Last verified 2026-08-20
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