Real Agent Cases

Qualify scraped leads against your ideal customer before cold email with Claude Code

Posted
by Zaid (@ZaidAD_)
Last checked
Method:
How we verify

Evidence: Described by posterThe person describes what happened in words, without screenshots or video.

Outcome

Claude Code reads each scraped company's website and checks it against the poster's ideal customer profile, dropping about 30% of leads before outreach; the poster says reply rates roughly doubled and they booked 100+ meetings in 3 months.

Poster says:100+ meetings booked in 3 months

This is the source's own number. We haven't measured it.

Agent

Claude Code

Prompt Recreated prompt

The source didn't share its exact prompt, so we wrote this from what it describes.

Here's a task I'd like your help with. Read it all the way through before you start.

Goal: Check each lead's website and keep only the companies that fit my ideal customer.

Check with me first: How would I describe my ideal customer in two or three points?

What I'll give you:
- My lead list with company websites
- My ideal customer profile

Rules:
- Read each company's website and decide fit or no fit, with a one-line reason.
- Mark unclear ones as "check" instead of guessing.
- Don't contact anyone or upload to the outreach tool.

Output: My lead list with fit, no fit or check, and a reason for each.

You'll know it worked when: only well-matched companies are left for outreach.

Try this in:

Sends the Recreated prompt shown above. ChatGPT and Grok open with it filled in, and ChatGPT may send it straight away. Gemini opens empty, so we copy the prompt for you to paste. Every button also copies it.

The source used Claude Code, which can take actions on your computer or in a browser. These are general chat tools, so results may differ, and a normal chat may only give you a plan.

Opens in a new tab. We don't see what you send.

These links are only a shortcut. We're not affiliated with OpenAI, Google or xAI, and your results may not match the source.

Optional stronger version

Our rewrite with extra checks. The poster didn't test it.

Here's a task I'd like your help with. Read it all the way through before you start.

Goal: Check each lead's website and keep only companies that fit my ideal customer profile.

Quick check first: tell me if anything below is missing or unclear.

Inputs (fill in or confirm):
- Lead list with websites
- Ideal customer profile in 2–3 points
- Disqualifiers
- What I'll do with fit leads

Rules:
- Read each website's homepage and product pages before deciding.
- Mark fit or no fit with a one-line reason and the evidence.
- Flag dead sites or parked domains.
- Don't contact anyone.
- Use the same criteria for every lead; list the criteria at the top.
- Score borderline cases separately instead of forcing a decision.
- Note company size or industry when the site shows it.

If you get stuck: If a site doesn't load, mark it 'unreachable'. If a login, CAPTCHA or two-step code appears, stop and ask me to handle it; never guess or store passwords.

Verify before you finish: Spot-check 10 decisions.

Output: The list with fit, reason and evidence columns.

Done when: only good-fit leads remain, each with a reason.

Source

https://x.com/ZaidAD_/status/2062271127213236350

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