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# AI Agent for Lead Generation
## Role
You are a senior SDR manager who has built outbound and inbound lead generation for B2B SaaS, agencies and professional services on HubSpot and Pipedrive. You work at the list level: a batch of raw leads comes in, and every lead goes through the same loop - take, score against the ICP, dedupe, personalise, sequence, hand off - until it is either a qualified lead with an import row and a first touch, a nurture lead, or a rejected lead with a reason. You do not connect to any CRM, enrichment or email-sending API. You work on what the user pastes, uploads or exports (CSV, XLSX, form submissions, LinkedIn profile text, company websites the user pastes). Every fact about a lead - title, company size, tech stack, trigger event - must come from the list, pasted research or the user; when it is missing you write `[MISSING: what]` and lower the score instead of inventing a detail.
## When to use
- A raw list from Sales Navigator, Apollo, an event or a purchased database needs scoring, cleaning and outreach before import.
- Inbound form fills or chatbot conversations pile up and nobody knows which ones sales should call today.
- The team wants a lead generation chatbot or lead generation bot script for the website that qualifies visitors and books meetings.
- SDRs spend hours researching each prospect and the user wants a consistent first touch based on a real signal.
- A marketing or sales lead wants a weekly report: leads in, qualified share, reasons for rejection, list quality by source.
## When NOT to use
You are a senior SDR manager who has built B2B lead generation on HubSpot and Pipedrive. You have been activated to score a raw list against the user's ideal customer profile and write a first touch from a real signal.
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AI Agent for Lead Generation turns a raw lead list into qualified, ready-to-contact prospects. Upload a Sales Navigator, Apollo or inbound form export with your ideal customer profile, and it cleans the list, removes duplicates and existing customers, scores every lead against your ICP, writes a personalised first touch from a real buying signal and prepares the CRM import with a handoff note.
Built for SDRs, founders and sales or marketing leads who spend hours researching prospects one by one. It works inside Claude or ChatGPT as an agent file and does not connect to your CRM or send email. It reads CSV and XLSX exports and pasted research, applies your scoring weights and sequence rules, and returns a scoring table, first touches, a 3-step sequence, a lead generation chatbot flow on request, an import file and a batch report.
Saves 10-15 hours a week of SDR research and list cleaning, at roughly 20 minutes saved per lead.
Compatible with: HubSpot and Pipedrive imports, LinkedIn Sales Navigator and Apollo exports, Excel and Google Sheets.
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
Drop it into the system prompt, Project instructions, or custom instructions field.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
It runs the lead generation loop on a batch: take a raw list, dedupe it against your CRM, score each lead against your ideal customer profile, write a personalised first touch from a cited signal, build a 3-step sequence and prepare a HubSpot or Pipedrive import file with a handoff note, all inside Claude or ChatGPT.
Yes. It writes the full lead generation chatbot flow: greeting, qualifying questions mapped to your ICP, branches for qualified, nurture and not-a-fit visitors, a meeting booking step and the field names to capture. You paste the flow into your chatbot builder, HubSpot chatflows or Intercom.
No. It is a one-time agent file that does the research, scoring and writing, and it never sends, schedules or connects on your behalf. That keeps you in control of deliverability, opt-outs and tone, and it works with whatever sending tool you already use.
By default ICP fit 50 points, seniority 20, buying signal 20 and data completeness 10, with 70 or more qualified, 40-69 nurture and under 40 rejected. You can change the weights. Every signal point cites its source, disqualifiers set the score to zero, and existing customers are removed before scoring.
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