Lead Discovery

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name: lead-discovery description: "AI-driven lead discovery for B2B export. Searches web for potential buyers matching ICP, evaluates fit, and creates CRM records for follow-up."

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Lead Discovery — AI-Powered Prospecting

Automatically search, filter, and evaluate potential buyers based on your ICP profile.

Triggers

Cron scheduled execution (Daily 10:00)

Manual command from owner: "Search for leads in [market/industry]"

Search Strategy

Search Dimensions (rotate daily, pick 1-2)

1. Target Market Procurement - "{{product}} buyers [target country] 2026" - "[target country] fleet expansion logistics company" - "[target country] construction equipment procurement"

2. Trade Shows & Procurement Signals - "{{product}} buyers exhibition Africa Middle East 2026" - "transport logistics tender [region]"

3. Company Research (read website) - After discovering a target company, read their website for detailed info

4. Customs / Trade Data - "[target country] {{product}} import statistics" - "{{product}} import demand [region] 2026"

Search Execution

Jina Search (find potential buyers)

curl -s 'https://s.jina.ai/QUERY_URL_ENCODED' \
  -H 'Authorization: Bearer $JINA_API_KEY' \
  -H 'Accept: application/json'

Jina Reader (read company website)

curl -s 'https://r.jina.ai/https://target-company.com' \
  -H 'Authorization: Bearer $JINA_API_KEY' \
  -H 'Accept: application/json'

JINA_API_KEY in .secrets/env. Get one free at https://jina.ai/

3-Layer Enrichment Pipeline

Layer 1: Website Extraction

Read company website via Jina Reader → extract:

Company size, employee count

Product lines, services

Certifications (ISO, etc.)

Contact info (email, phone, WhatsApp)

Office/warehouse locations

Layer 2: Purchase Signal Search

Jina Search for:

"[company name] procurement tender"

"[company name] fleet expansion"

"[company name] import export"

Layer 3: Information Integration

Combine all findings into enrichment profile

Calculate ICP score based on USER.md criteria

Store research notes in Supermemory with tag "customer_research"

Evaluation Flow

For each discovered prospect: 1. Extract: company name, country, industry, size, contact info (email/WhatsApp/phone) 2. Read company website via Jina Reader for deep understanding 3. Score per USER.md ICP criteria (1-10) 4. ICP >= 5: Write to CRM (source=web_discovery, status=new) 5. ICP >= 7: Also mark as hot_lead, create research note 6. Email found: Mark next_action=email_outreach 7. WhatsApp found: Mark next_action=whatsapp_outreach

Output Format (report to owner)

Today discovered X potential leads:
1. [Company] - [Country] - ICP [X]/10
   Industry: [industry] | Size: [size]
   Source: [search query]
   Contact: [email/website/whatsapp]
   Recommendation: [Send cold email / WhatsApp contact / More research / Enter nurture pool]
Added to CRM: X | Pending email outreach: X | Pending WhatsApp: X

Search Frequency & Quota

Max 20 searches per day (API quota management)

Weekly coverage: Africa 2 days, Middle East 2 days, SEA 1 day, LatAm 1 day, Other 1 day

Duplicate companies auto-skipped (check CRM first)

Search Templates by Market

Africa (Mon/Tue)

"{{product}} importers Nigeria Lagos"

"logistics company Tanzania fleet"

"construction company Kenya equipment procurement"

Middle East (Wed/Thu)

"{{product}} dealers Saudi Arabia"

"logistics fleet UAE Dubai"

"construction equipment Oman transport"

Southeast Asia (Fri)

"{{product}} importers Philippines Manila"

"logistics company Vietnam fleet"

"construction Indonesia heavy vehicles"

Latin America (Sat)

"{{product}} importers Brazil"

"logistics company Chile fleet"

"mining transport vehicles Peru"