Build enriched B2B lead profiles from a company URL, company name plus domain, or LinkedIn company URL. Use when the user says "enrich this company", "find decision makers at", "who works at", "build a lead profile", or asks for company enrichment, decision-maker discovery, estimated business email patterns, recent buying signals, funding stage, company size, industry, or tech stack research. This enriches one company at a time; for batch lists, email verification, scoring, and CRM sync, use lead-enricher-pro.
Turn basic company information into a Markdown lead profile for GTM research. This free version uses public web research plus optional free-tier enrichment APIs when credentials are available.
Accept any of these:
If the input is ambiguous, infer the most likely company and flag the identity confidence. Ask a clarifying question only when multiple companies share the same name and no domain or LinkedIn URL is available.
Use the best available source path for the environment:
1. Public web research from the company site, careers page, blog, press page, job posts, Crunchbase-like snippets, LinkedIn snippets, and search results.
2. Clearbit free tier when `CLEARBIT_API_KEY` is available:
- Company size
- Industry/category
- Location
- Social profiles
- Funding or company metadata when available
3. Hunter.io free tier when `HUNTER_API_KEY` is available:
- Email pattern
- Department/person hints
- Verification status when available
4. BuiltWith when `BUILTWITH_API_KEY` is available, or public page inspection when not:
- Analytics, CRM, CMS, ecommerce, CDN, marketing automation, and major frontend/backend technologies
Never invent exact facts. When an API is unavailable or a field is inferred from public snippets, mark it as simulated/free-tier or inferred.
1. Normalize the target:
- Extract canonical domain from a URL or LinkedIn company page.
- Record alternate names, parent/subsidiary signals, and the source used for identity.
2. Build the company profile:
- Company name
- Website/domain
- Industry
- Company size
- Funding stage
- Headquarters or primary market
- One-sentence business description
3. Detect technology stack:
- Prefer BuiltWith if available.
- Otherwise inspect the website and public source hints for CMS, ecommerce, analytics, CRM, ads, email, chat, payment, CDN, hosting, and frontend framework.
- Group unknowns under `Unknown / not detected`.
4. Find decision-maker targets:
- Return at least 3 decision-maker rows every time.
- Prefer actual people from public sources when available.
- If actual people are not confidently found, return likely buyer roles instead and label person/name fields as `Not found`.
- Include title, likely buying role, LinkedIn URL or search URL, estimated email or email pattern, confidence score, and source note.
5. Identify recent signals:
- Hiring: new roles, careers page growth, departments hiring.
- Funding/news: funding announcements, acquisitions, partnerships, executive changes.
- Product launches: blog, changelog, press releases, launches, pricing/package changes.
- If no signal is found, say `No recent public signal found` and assign low confidence.
6. Score confidence:
- High: confirmed by company/API source or multiple recent public sources.
- Medium: supported by one credible public source or consistent pattern.
- Low: inferred, stale, or simulated because no free source confirmed it.
Always include at least 3 titles. For B2B GTM, choose the most relevant titles from the company context. Common defaults:
For each decision maker, include:
Estimated emails must be clearly labeled as estimated unless verified by Hunter.io or another credible source. Prefer patterns such as `[email protected]`, `[email protected]`, or `[email protected]`; do not present guesses as deliverable verified addresses.
Flag a field as low confidence when:
Use `[LOW CONFIDENCE]` inline next to the value and explain why in the source note.
Return one Markdown lead profile:
```markdown
| Field | Value | Confidence | Source |
|---|---|---:|---|
| Website | <domain> | High | <source> |
| Industry | <industry> | Medium | <source> |
| Company size | <range> | Medium | <source> |
| Funding stage | <stage or Unknown> | Low | <source> |
| Headquarters | <location or Unknown> | Medium | <source> |
<1-3 sentence business description.>
| Category | Detected Tools | Confidence | Source |
|---|---|---:|---|
| Analytics | <tools or Unknown / not detected> | Low | <source> |
| CRM / Sales | <tools or Unknown / not detected> | Low | <source> |
| Marketing | <tools or Unknown / not detected> | Low | <source> |
| Website / App | <tools or Unknown / not detected> | Medium | <source> |
| Name | Title | Buying Role | LinkedIn | Estimated Email | Confidence |
|---|---|---|---|---|---:|
| <name or Not found> | <title> | <role> | <url or search URL> | <estimated/verified email or pattern> | <score>% |
| Signal | Detail | Date/Recency | Confidence | Source |
|---|---|---|---:|---|
| Hiring | <detail or No recent public signal found> | <date/unknown> | Low | <source> |
| Funding / News | <detail or No recent public signal found> | <date/unknown> | Low | <source> |
| Product / Launch | <detail or No recent public signal found> | <date/unknown> | Low | <source> |
1. <angle tied to decision maker and signal>
2. <angle tied to tech stack or industry>
3. <angle tied to likely business priority>
```
Before returning the profile, verify:
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# Download SKILL.md from killerskills.ai/api/skills/lead-enricher-free/raw