AI Sales Academy

Enrichment: data and the verification rule

Prospecting 9 min
Business problem

AI is great at guessing emails by pattern (first.last@company.com), but it also guesses when it doesn't know — it returns contacts that don't exist. Sending 500 emails to unverified addresses = 10-30% bounce rate, a burned domain, zero replies. Contact data requires verification at the source.

Proven method

Enrichment in 3 layers:

  1. Basic data (company, website, industry, location, employees) — AI + sources (LinkedIn, website, registries),
  2. Contact data (name, role, email, LinkedIn, phone) — TOOLS + verification (Hunter, Apollo, Snov, Clearbit; SMTP verification), AI is never the only source,
  3. Context data (technology, funding, hiring, revenue, growth, intent) — AI analyzes public data. The rule 'AI = hypothesis, Source = verification': every fact (especially email and phone) must come from a tool or be verified. You use AI for completion and connection, not for creating truth.
Market example
BAD
Unstructured prospecting without ICP filters and generic outreach to random accounts.
GOOD
AI suggests 'jan.kowalski@company.com' (pattern). Verification in Hunter: exists with 90% confidence. But AI also suggests 'anna.nowak@company.com' — verification: nothing, 0 results. You don't send. Contextually AI adds: the company hires 3 salespeople (job posts), uses WordPress (site analysis), traffic grew 40% (SimilarWeb). These context facts are fine from AI — because they don't risk bounces.
Ready-to-use prompt
You are a B2B data consultant.

Context: I'm enriching a lead list. Product: [PRODUCT]. ICP: [SUMMARY].

Task: Design the enrichment process:
1. List the basic, contact and context data worth collecting (3 layers)
2. For each: where to get it (AI / tool / public source / SMTP verification)
3. Point out which data AI can safely guess and which MUST be verified
4. Propose a spreadsheet/CRM structure: columns for a lead with this data

Format: 4 sections, tables where possible.
Model rekomendowany: Claude 3.5 Sonnet / GPT-4o Copy and paste into ChatGPT, Claude or Perplexity
ALTERNATYWNE SCENARIUSZE

Variations & alternative scenarios

Small-budget version: free tools (Hunter free, Google, LinkedIn) + AI research.

Large-scale version: enrichment API tools + dedup + bulk validation.

Practical exercise

Take 10 leads from your list. For each: write down which contact data you have verified and which is 'guessed'. Create a spreadsheet with columns: company, email (status: verified/guess), LinkedIn, phone, technology, hiring, intent.

Zapisano w przeglądarce

Steps to take

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