AfrexAI Lead Hunter Pro
Turn your AI agent into a full B2B sales development machine. Discovery → Enrichment → Scoring → Outreach → CRM. Zero manual work.
Architecture
DEFINE ICP ──▶ DISCOVER ──▶ ENRICH ──▶ SCORE ──▶ SEGMENT ──▶ OUTREACH ──▶ CRM
│ │ │ │ │ │ │
▼ ▼ ▼ ▼ ▼ ▼ ▼
Persona Multi-source Email+Phone ICP fit Tier A/B/C Sequences Pipeline
Builder Web Research Company Data Intent Campaigns Templates Tracking
Phase 1: Define Your Ideal Customer Profile (ICP)
Before hunting, know WHO you're hunting. Answer these:
Company-Level ICP
# Copy and customize this ICP template
company:
industries: [SaaS, fintech, legal-tech, prop-tech]
employee_range: [50, 500] # sweet spot for AI adoption
revenue_range: [$5M, $100M] # can afford $120K+ contracts
funding_stage: [Series A, Series B, Series C]
tech_signals: # tools that indicate AI readiness
positive: [Salesforce, HubSpot, Snowflake, AWS, Python]
negative: [no-website, wordpress-only]
geography: [US, UK, Canada, Australia]
pain_signals: # problems they're likely facing
- "manual data entry"
- "compliance overhead"
- "scaling operations"
- "document processing"
Buyer Persona
persona:
titles: [CEO, CTO, COO, VP Operations, Head of Innovation, Director of IT]
seniority: [C-Suite, VP, Director]
decision_authority: true # can sign $50K+ without board approval
linkedin_activity: # signals they're actively looking
- posts about AI/automation
- comments on digital transformation content
- recently changed roles (first 90 days = buying window)
anti-signals: # skip these
- "consultant" in title (not buyers)
- company < 10 employees (no budget)
- already has AI vendor (check for competitors in their stack)
Scoring Weights
scoring:
icp_company_match: 30 # how well company matches
icp_persona_match: 20 # right title + seniority
intent_signals: 25 # actively looking for solutions
engagement_recency: 15 # recent activity online
timing_bonus: 10 # new role, funding round, hiring
thresholds:
tier_a: 80 # hot — outreach immediately
tier_b: 60 # warm — nurture sequence
tier_c: 40 # cool — add to newsletter
disqualify: below 40 # don't waste time
Phase 2: Multi-Source Discovery
Source Priority Matrix
| Source | Best For | How To Search | Data Quality | Cost |
|---|---|---|---|---|
| Web Search | Any industry | "[industry] companies" site:linkedin.com/company | High | Free |
| GitHub | Dev tools, tech companies | Search repos, org pages, contributor profiles | High | Free |
| Product Hunt | Startups, SaaS | Browse launches, upvoters (they're buyers too) | Medium | Free |
| Industry Lists | Targeted verticals | "Top 50 [industry] companies 2026", Clutch, G2 | High | Free |
| Job Boards | Hiring = growing = buying | "AI" OR "automation" site:lever.co OR site:greenhouse.io | High | Free |
| Crunchbase | Funded startups | Recently funded companies in target verticals | High | Freemium |
| Conference Speakers | Active industry leaders | Speaker lists from industry events | Very High | Free |
| Podcast Guests | Thought leaders with budget | Search "[industry] podcast" transcripts | High | Free |
Discovery Search Templates
Find companies by pain signal:
"[industry]" "manual process" OR "time-consuming" OR "looking for solutions" site:linkedin.com
Find companies by hiring signal (they're growing = they're buying):
"[company type]" "hiring" "AI" OR "automation" OR "data" site:linkedin.com/jobs
Find recently funded companies (flush with cash):
"[industry]" "raises" OR "Series A" OR "funding" OR "investment" 2026
Find companies using competitor tools (ripe for switching):
"[competitor tool]" "alternative" OR "switching from" OR "replaced"
Find decision makers directly:
"[title]" "[industry]" "[city/region]" site:linkedin.com/in
Discovery Workflow
FOR each search query:
1. Run web_search with the query
2. Extract company names + URLs from results
3. Deduplicate against existing leads
4. For each NEW company:
a. Visit company website → extract: industry, size estimate, tech signals
b. Search "[company name] CEO" OR "[company name] founder" → get decision maker
c. Search "[company name] funding" → get financial signals
d. Create lead record (see schema below)
5. Rate limit: 2-3 second delay between searches
Phase 3: Enrichment Engine
For each discovered lead, enrich with verified data:
Company Enrichment Checklist
- Website — Load homepage, extract value prop, tech stack (check
<meta>tags, JS frameworks) - Employee Count — LinkedIn company page, Crunchbase, or website "About" page
- Revenue Estimate — Funding amount × 3-5x multiplier, or industry benchmarks
- Tech Stack — Check BuiltWith, Wappalyzer data, or job postings for tech mentions
- Recent News — Last 90 days: funding, launches, executive changes, partnerships
- Pain Indicators — Job postings mentioning problems you solve, blog posts about challenges
- Competitor Usage — Do they use a competitor? Which one? (Check G2 reviews, case studies)
Contact Enrichment Checklist
- Full Name — First + Last from LinkedIn or company page
- Title — Current role (verify it matches your buyer persona)
- Email Pattern — Determine company pattern: first@, first.last@, firstlast@, f.last@
- Email Verification — Test pattern with known format, check MX records
- LinkedIn URL — Direct profile link
- Recent Activity — What have they posted/shared in last 30 days?
- Mutual Connections — Anyone in your network connected to them?
- Content Interests — What topics do they engage with? (Use for personalization)
Email Pattern Detection
Common patterns (test in order of likelihood):
1. [email protected] (most common, ~40%)
2. [email protected] (startups, ~25%)
3. [email protected] (~15%)
4. [email protected] (~10%)
5. [email protected] (~5%)
6. [email protected] (~3%)
7. [email protected] (~2%)
Verification approach:
- Check if company has public team page with email format
- Look for email in GitHub commits from company domain
- Check email format on Hunter.io or similar (if available)
- Search "[person name] email [company]"
- Check their personal website/blog for contact
Phase 4: Lead Scoring Algorithm
Score each lead 0-100 using this rubric:
Company Score (0-30 points)
| Signal | Points | How to Check |
|---|---|---|
| Industry matches ICP exactly | +10 | Compare to ICP config |
| Employee count in sweet spot | +5 | LinkedIn/website |
| Revenue in target range | +5 | Crunchbase/estimate |
| Located in target geography | +3 | Website/LinkedIn |
| Uses compatible tech stack | +4 | Job posts, BuiltWith |
| No competitor currently | +3 | Research, case studies |
Persona Score (0-20 points)
| Signal | Points | How to Check |
|---|---|---|
| Title matches buyer persona | +8 | |
| C-Suite or VP level | +5 | |
| Has decision authority | +4 | Title + company size |
| Active on LinkedIn (posts monthly) | +3 | LinkedIn activity |
Intent Score (0-25 points)
| Signal | Points | How to Check |
|---|---|---|
| Recently posted about relevant pain | +8 | LinkedIn/Twitter |
| Company hiring for roles you'd replace | +7 | Job boards |
| Attended relevant industry event | +5 | Conference lists |
| Downloaded competitor content | +3 | Hard to verify, skip if unknown |
| Searched for solution keywords | +2 | Hard to verify, skip if unknown |
Timing Score (0-15 points)
| Signal | Points | How to Check |
|---|---|---|
| New in role (< 90 days) | +5 | LinkedIn start date |
| Company just raised funding | +4 | Crunchbase/news |
| End of quarter (budget flush) | +3 | Calendar |
| Company growing fast (hiring surge) | +3 | Job postings count |
Engagement Score (0-10 points)
| Signal | Points | How to Check |
|---|---|---|
| Opened previous email | +4 | Email tracking |
| Visited your website | +3 | Analytics |
| Connected on LinkedIn | +2 | |
| Referred by someone | +1 | CRM notes |
Phase 5: Segmentation & Campaign Assignment
Tier A (Score 80-100) — HOT LEADS
Action: Immediate personalized outreach
Sequence: 5-touch hyper-personalized campaign
Timeline: Contact within 24 hours
Channel: Email → LinkedIn → Phone (if available)
Template: "CEO-to-CEO" or "Specific Pain" (see below)
Tier B (Score 60-79) — WARM LEADS
Action: Nurture sequence
Sequence: 7-touch value-first campaign
Timeline: Start within 48 hours
Channel: Email → LinkedIn
Template: "Value Insight" or "Case Study" (see below)
Tier C (Score 40-59) — COOL LEADS
Action: Add to newsletter + long-term nurture
Sequence: Monthly value content
Timeline: Bi-weekly touchpoints
Channel: Email only
Template: "Industry Report" or "Educational" (see below)
Phase 6: Outreach Sequence Templates
Template 1: The Specific Pain (Tier A)
Email 1 — Day 0 (The Hook)
Subject: [specific pain point] at [Company]?
Hi [First Name],
Noticed [Company] is [specific observation — hiring for X role / posted about Y challenge / using Z tool].
That usually means [pain point they're likely feeling].
We built [solution] that [specific result with number]. [Client name] cut their [metric] by [X%] in [timeframe].
Worth a 15-min call to see if it fits [Company]?
[Your name]
Email 2 — Day 3 (The Proof)
Subject: Re: [original subject]
[First Name] — quick follow-up.
Here's exactly what we did for [similar company]: [1-sentence case study with specific numbers].
[Link to case study or calculator]
Happy to walk through how this maps to [Company].
[Your name]
Email 3 — Day 7 (The Angle)
Subject: [industry trend] + [Company]
[First Name],
[Industry trend or stat that's relevant]. Companies like [Company] are [what smart companies are doing about it].
We help [type of company] [specific outcome]. Takes about [timeframe] to see results.
Open to a quick chat this week?
[Your name]
Email 4 — Day 14 (The Breakup)
Subject: Should I close your file?
[First Name],
I've reached out a few times — totally understand if the timing isn't right.
If [pain point] becomes a priority, here's a [free resource] that might help: [link]
Either way, I'll stop filling your inbox. Just reply "yes" if you'd like to chat sometime.
[Your name]
Template 2: The Value-First (Tier B)
Email 1 — Lead with insight, not a pitch
Subject: [number] [industry] companies are doing [thing] wrong
Hi [First Name],
We analyzed [X] companies in [industry] and found that [surprising insight].
The ones getting it right are [what top performers do differently].
Put together a quick breakdown: [link to free resource/calculator]
Thought it'd be useful given what [Company] is building.
[Your name]
Template 3: The LinkedIn Warm-Up
Step 1: View their profile (creates notification) Step 2 (Day 2): Like/comment on their recent post (genuine, not generic) Step 3 (Day 4): Send connection request with note:
Hi [Name] — been following [Company]'s work in [space].
Particularly liked your take on [specific post topic].
Would love to connect.
Step 4 (Day 7, after accepted): Send value message (NOT a pitch):
[Name] — saw you mentioned [challenge] in your recent post.
We put together [free resource] that addresses exactly that.
Thought you might find it useful: [link]
Phase 7: CRM & Pipeline Management
Lead Record Schema
{
"id": "lead-001",
"created": "2026-02-13",
"source": "web-search",
"company": {
"name": "Acme Corp",
"website": "https://acme.com",
"industry": "SaaS",
"employees": 150,
"revenue_est": "$20M",
"funding": "Series B — $15M (2025)",
"tech_stack": ["Salesforce", "AWS", "React"],
"location": "San Francisco, CA"
},
"contact": {
"first_name": "Jane",
"last_name": "Smith",
"title": "VP of Operations",
"email": "[email protected]",
"email_verified": false,
"linkedin": "https://linkedin.com/in/janesmith",
"phone": null
},
"scoring": {
"company_score": 25,
"persona_score": 18,
"intent_score": 15,
"timing_score": 8,
"engagement_score": 0,
"total": 66,
"tier": "B"
},
"enrichment": {
"pain_signals": ["hiring 3 data analysts", "blog about manual reporting"],
"recent_news": ["Raised Series B in Jan 2026"],
"competitor_usage": "None detected",
"content_interests": ["data automation", "operational efficiency"]
},
"outreach": {
"status": "not_started",
"sequence": "value-first",
"emails_sent": 0,
"last_contacted": null,
"next_action": "2026-02-14",
"replies": [],
"notes": ""
},
"pipeline": {
"stage": "prospect",
"deal_value": null,
"probability": 0,
"next_step": "Initial outreach"
}
}
Pipeline Stages
PROSPECT → CONTACTED → REPLIED → MEETING_BOOKED → QUALIFIED → PROPOSAL → NEGOTIATION → CLOSED_WON / CLOSED_LOST
Tracking Metrics
Track these weekly to optimize your machine:
- Discovery rate: leads found per search session
- Enrichment completeness: % of fields filled per lead
- Score distribution: what % are Tier A vs B vs C?
- Response rate: replies / emails sent (target: 5-15%)
- Meeting rate: meetings / replies (target: 30-50%)
- Conversion rate: deals / meetings (target: 20-30%)
- Pipeline velocity: days from discovery → closed deal
Phase 8: Automation & Scheduling
Daily Autopilot Routine
MORNING (agent runs autonomously):
1. Run 3-5 discovery searches (rotate queries)
2. Enrich any un-enriched leads from yesterday
3. Score new leads
4. Send Day-N emails for active sequences
5. Check for replies → flag for human review
6. Update pipeline stages
7. Report: "Found X leads, sent Y emails, Z replies"
WEEKLY:
1. Review Tier C leads — any moved to B/A?
2. Clean dead leads (no response after full sequence)
3. Analyze response rates by template — A/B test
4. Refresh ICP based on closed deals
5. Add new search queries based on wins
Agent Integration
# In your agent's heartbeat or cron:
1. Load ICP config
2. Run discovery for 1 search query
3. Enrich top 5 new leads
4. Score all unscored leads
5. Queue outreach for Tier A leads
6. Log results to daily brief
Output Formats
CSV Export
company,contact,title,email,linkedin,score,tier,industry,employees,pain_signal
Acme Corp,Jane Smith,VP Ops,[email protected],linkedin.com/in/jane,66,B,SaaS,150,hiring analysts
Weekly Report Template
# Lead Hunter Weekly Report — Week of [DATE]
## Pipeline Summary
- Total leads in system: [N]
- New leads this week: [N]
- Tier A: [N] | Tier B: [N] | Tier C: [N]
## Outreach Performance
- Emails sent: [N]
- Reply rate: [X%]
- Meetings booked: [N]
- Pipeline value added: $[X]
## Top Leads This Week
1. [Company] — [Contact] — Score: [X] — [Why they're hot]
2. [Company] — [Contact] — Score: [X] — [Why they're hot]
3. [Company] — [Contact] — Score: [X] — [Why they're hot]
## Insights
- Best performing search query: [query]
- Best performing email template: [template]
- Recommendation: [action to take]
Pro Tips
- The 90-Day Window: New executives are 10x more likely to buy in their first 90 days. Prioritize "new role" signals.
- Hiring = Buying: If a company is hiring for the role your product replaces, they have budget AND pain. These are your hottest leads.
- Competitor's Customers: Search for reviews/complaints about competitors. Unhappy customers switch fastest.
- Conference Lists: Speaker and attendee lists from industry events are gold. These people are actively engaged in the space.
- The "Reply to Anything" Rule: Any reply (even "not interested") is valuable. It confirms the email works and the person exists. Log it.
- Personalization > Volume: 20 hyper-personalized emails outperform 200 generic ones. Always reference something specific about the prospect.
- Multi-Thread: Don't rely on one contact per company. Find 2-3 decision-makers and approach from different angles.
- Timing Matters: Tuesday-Thursday, 8-10 AM local time gets the best open rates. Avoid Mondays and Fridays.
Built by AfrexAI — AI agents that actually sell.