# Enrich and score a B2B lead list

> Turn a raw list of companies into prioritized accounts with context, buying signals, fit scores, and personalized outreach angles.

- Canonical: https://gptnavi.com/workflows/enrich-and-score-b2b-lead-list
- Category: Sales
- Difficulty: Advanced
- Setup time: 2 hours
- Estimated time saved: 5-10 hours
- Last materially updated: 2026-08-24
- Best for: B2B founders, Sales teams, Agencies
- Tools: Clay, Apollo, Perplexity, HubSpot

## Quick answer

This workflow helps small teams focus outbound on the accounts most likely to care, instead of blasting generic emails to unqualified leads.

## When to use it

- B2B outbound campaigns
- Agency prospecting
- Founder-led sales research

## Steps

1. **Create the account list** — Start with a niche, region, job title, company size, or technology signal and export a focused list. Tool: Apollo. Expected output: A raw account and contact list.
2. **Enrich company context** — Add company description, funding, hiring signals, tech stack, recent news, and relevant pages. Tool: Clay. Expected output: A richer account table.
3. **Score account fit** — Ask AI to score each account based on ICP fit, urgency signals, problem likelihood, and reachable contact quality. Tool: ChatGPT. Expected output: A prioritized lead list.
4. **Generate outreach angles** — Create one specific outreach angle per high-fit account using real account context. Tool: Perplexity. Expected output: Personalized opening lines and email angles.

## Prompt templates

### Lead scoring rubric

Score these B2B accounts from 1-5 for ICP fit, urgency, problem likelihood, budget signal, and personalization quality. Explain each score briefly. Accounts: [paste table]

### Outbound angle generator

Create a personalized outreach angle for each account using only the provided company facts. Include trigger, likely pain, relevant offer angle, and first email opener. Accounts: [paste]

## Common mistakes

- Enriching huge unfocused lists
- Using AI to invent personalization
- Not defining scoring criteria before enrichment

## Related workflows

- https://gptnavi.com/workflows/research-prospects-personalized-outreach
- https://gptnavi.com/workflows/sales-calls-to-crm-updates-and-follow-ups
- https://gptnavi.com/workflows/research-a-niche-market-with-ai