B2B sales still happens largely manually in many companies: Google research, copy-paste into Excel, manual HubSpot entry, writing emails from scratch. Every single lead costs 30–60 minutes of work. Multiply that by 100 leads per month — that's 50–100 hours lost.
The full automation stack
A modern B2B sales automation workflow has four steps — and each one can be automated:
Step 1: Automated lead search
Instead of manually Googling and checking directories, use Google Places API to automatically find companies matching your target profile. Search parameters: industry + region + keywords.
Step 2: Email extraction via web crawler
For each found company website, a crawler automatically visits /contact, /imprint, and the homepage to find email addresses. Success rate: 40–70% depending on industry.
Step 3: AI scoring
Claude AI evaluates each lead against your product description. Each lead gets a score and explanation. You review only the top 20%.
Step 4: CRM export
Selected leads go directly to HubSpot as contacts. Lifecycle stage is automatically set to "Lead", source to "anilead.io". A workflow triggers the first follow-up task.
The result
What used to take 50 hours per month takes 2–3 hours with anilead.io: reviewing scored leads and approving the best ones for CRM export. The rest is automatic.
Getting started
Start with a specific search: one industry + one region. Review the results, adjust the scoring criteria, then scale to multiple searches per week. Most teams see their first qualified pipeline additions within the first hour.