Your sales team has 500 new leads — but no clear picture of who to contact first. Most work alphabetically through the list or go by gut feeling. The result: time wasted on prospects that will never buy, while hot leads go cold.
What is AI lead scoring?
Lead scoring assigns each lead a score — typically 0 to 100 — based on how well they fit your ideal customer profile. Traditional scoring uses static rules: company size, industry, job title. AI scoring goes further: it understands context.
How Claude AI evaluates leads
Instead of rigid rules, Claude AI analyzes each lead holistically:
- Industry fit: Does the sector match your target market?
- Company context: What does the website say about their challenges?
- Size signals: Employee count, location, review volume
- Technology indicators: Which tools does the company likely use?
The result: A score with explanation — not just "78/100" but "Tax advisory firm with 12 employees, still using local software, very good fit for cloud accounting solution."
The difference in practice
Teams using AI scoring report conversion rate improvements from 2% to 8–15%. The reason: instead of contacting 100 random leads, they contact the 20 best ones — and close more deals with less effort.
Implementation with anilead.io
You describe your product in plain language. anilead.io automatically scores each new lead and ranks them by priority. The top 20% get your attention first — the rest wait or are discarded. No manual work required.