Quick Answer

AI-powered lead qualification scores every lead in seconds using frameworks like BANT or MEDDIC, enriches them with company intel, and routes the hot 20% to sales while nurturing the rest. Done right, it lifts win rate 30-50%.

Auto-score based on firmographic + behavioral + intent signals
Enrich with Clearbit, Apollo, or Clay in real time
Route hot leads to sales SLA < 5 minutes

What You'll Need

CRM with lead object (HubSpot, Salesforce, Attio)
Enrichment tool (Clearbit, Apollo, Clay)
AI scoring layer (HubSpot AI, MadKudu, or custom GPT)
Clear ICP + buying signals
SLA rules for routing

Steps

Write the ICP scoring rubric. Assign points: industry (0-20), employee count (0-15), title seniority (0-15), budget signals (0-20), engagement (0-30).
Pick a framework. BANT (Budget, Authority, Need, Timeline) for SMB; MEDDIC (Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion) for enterprise.
Connect enrichment. When a lead hits your CRM, trigger Clearbit/Apollo to auto-fill firmographic data.
Feed behavior into AI. Prompt Claude or a custom GPT: "Given this lead's firmographics + last 30 days of site behavior + form responses, score 0-100 and explain why."
Auto-route by score. 80-100 → AE now. 60-79 → SDR within 24 hrs. 40-59 → nurture. <40 → drip.
Feedback loop. Every 30 days, compare AI scores vs actual deal outcomes. Retrain rubric.

AI Qualification Prompt

code

You are a B2B lead qualifier. Score this lead 0-100 using BANT.

Lead data:
- Company: {{company}}
- Industry: {{industry}}
- Employees: {{headcount}}
- Title: {{title}}
- Form answers: {{form_responses}}
- Site behavior (last 30d): {{pageviews, content downloaded, pricing visits}}

Output JSON:
{
  "score": 0-100,
  "band": "hot" | "warm" | "cold",
  "budget_signal": "strong" | "weak" | "unknown",
  "authority": "decision-maker" | "influencer" | "user",
  "need": "explicit" | "implicit" | "unclear",
  "timeline": "<3mo" | "3-6mo" | ">6mo" | "unknown",
  "next_action": "1 sentence"
}

Common Mistakes

Scoring only on firmographics (ignores intent) — misses ready buyers
Over-engineering the rubric — 5-7 factors beats 20
No feedback loop — AI learns nothing from won/lost deals
Treating all leads equally — 20% of leads = 80% of revenue
Ignoring dark funnel signals (G2 visits, review reading)

Top Tools

Tool	Best For	Pricing
HubSpot AI Predictive Scoring	All-in-one	Included in Pro $100/mo
MadKudu	Advanced predictive	$999/mo
Clearbit Reveal	Anonymous visitor ID	Custom
Apollo.io	Enrichment + scoring	$49/user/mo
Custom GPT + Zapier	Budget stack	$40/mo