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AI automation

Lead qualification & follow-up

Level: BeginnerSteps: 6Updated July 2026

In short

Incoming enquiries are scored and answered immediately: ChatGPT rates form leads as hot, warm or cold and drafts the matching first reply. With Tally/Typeform plus Make.com this runs fully automatically – scoring, CRM entry and a personalised first email in seconds instead of hours.

Free

  1. Collect enquiries through a form.
  2. Paste the details into ChatGPT.
  3. Have the lead scored and a first reply drafted.
Example prompt

Here is an enquiry: [DATA]. Score the lead (Hot / Warm / Cold) with reasoning and write a fitting, personal first reply.

Limits: Manual handling per lead.

Premium / Automated

  1. Trigger: new form submission (Tally or Typeform).
  2. AI scores the lead and files it in your CRM or sheet.
  3. A personalised first email is sent automatically.
Example prompt

Here is an enquiry: [DATA]. Score the lead (Hot / Warm / Cold) with reasoning and write a fitting, personal first reply. Output JSON: score, reasoning, reply.

Added value: Automatic scoring, CRM entry and first contact within seconds.

Frequently asked questions

What criteria does the AI use to score a lead?

The criteria you define: budget, timeframe, project size, fit with your offer. Give two or three examples of hot and cold enquiries in the prompt – then the scoring matches your judgement surprisingly well.

Will prospects notice the first reply is automated?

Hardly, if it's personalised: the AI picks up name, request and details from the form. What matters is that the email stays honest ("we'll get back to you in detail by tomorrow") and a human takes over promptly.

Do I need a CRM for this?

No – a Google Sheet as a lead list is completely fine to start. The automation simply writes score and reasoning into the table; a real CRM only pays off at higher enquiry volume.