AI Lead Qualification Agent
Get qualification agent spec - just enter lead sources, icp, routing rules.
How It Works
Tell it your lead sources, icp and routing rules. This generates a qualification agent spec the way an experienced automation strategist would build it - a real, usable deliverable, not a generic checklist. The output follows the standard: qualification-agent spec: ICP, scoring model, routing/SLA, CRM mapping, KPIs. Replace every [[token]] with your specifics and it is ready to implement.
What to Provide
| Input | What to enter |
|---|---|
| Lead sources | website form, LinkedIn ads, trade shows |
| ICP | 50-500 employee B2B SaaS companies |
| Routing rules | enterprise leads to AE team, SMB to self-serve |
AI Lead Qualification Agent
This is the finished deliverable.
1. ICP and qualification framework
Cover each of these explicitly rather than leaving them implied: [[BANT]], [[MEDDIC]], [[lead-scoring model]]. Define [[the specific rule or default for BANT]] so nothing is left to guesswork.
Signal of expertise this section should show: Speed-to-lead as a conversion driver.
Mistake this guards against: Opaque scoring.
2. Lead sources and enrichment
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for lead sources and enrichment]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: weighted scoring with fit + intent signals.
Mistake this guards against: No routing or SLA.
3. Scoring criteria with weights and thresholds
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for scoring criteria with weights and thresholds]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: round-robin/territory routing.
Mistake this guards against: Treating all leads equally.
4. Routing rules
Cover each of these explicitly rather than leaving them implied: [[territory]], [[round-robin]], [[account ownership]]. Define [[the specific rule or default for territory]] so nothing is left to guesswork.
Signal of expertise this section should show: CRM-grounded with clear SLAs.
Mistake this guards against: No nurture path for not-yet-ready leads.
5. SLA for follow-up speed
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for sla for follow-up speed]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: Speed-to-lead as a conversion driver.
Mistake this guards against: Ignoring speed-to-lead.
6. CRM integration and field mapping
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for crm integration and field mapping]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: weighted scoring with fit + intent signals.
Mistake this guards against: Opaque scoring.
7. Disqualification/nurture paths
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for disqualification/nurture paths]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: round-robin/territory routing.
Mistake this guards against: No routing or SLA.
8. Explainability of scores
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for explainability of scores]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: CRM-grounded with clear SLAs.
Mistake this guards against: Treating all leads equally.
9. Handoff-to-sales criteria
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for handoff-to-sales criteria]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: Speed-to-lead as a conversion driver.
Mistake this guards against: No nurture path for not-yet-ready leads.
10. Conversion-rate and speed-to-lead KPIs
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for conversion-rate and speed-to-lead kpis]]. Base it on your lead sources and adjust as real cases come in.
Signal of expertise this section should show: weighted scoring with fit + intent signals.
Mistake this guards against: Ignoring speed-to-lead.
Worked Examples
Example 1 - B2B SaaS with inbound + paid leads
Inputs: Website form + LinkedIn ads, ICP: 50-500 employees, routed to AE vs SDR
Result: Auto-qualification cut lead response time from 4 hours to 90 seconds for hot leads.
Example 2 - Insurance broker
Inputs: Referral + web leads, routing by policy type and deal size
Result: Routing rules eliminated the 20% of leads previously stuck in the wrong queue.
Format Checklist
| Element | What good looks like |
|---|---|
| ICP and qualification framework | Specific and filled in, not left as a placeholder or generic label |
| Lead sources and enrichment | Specific and filled in, not left as a placeholder or generic label |
| Scoring criteria with weights and thresholds | Specific and filled in, not left as a placeholder or generic label |
| Routing rules | Specific and filled in, not left as a placeholder or generic label |
| SLA for follow-up speed | Specific and filled in, not left as a placeholder or generic label |
| CRM integration and field mapping | Specific and filled in, not left as a placeholder or generic label |
| Disqualification/nurture paths | Specific and filled in, not left as a placeholder or generic label |
| Explainability of scores | Specific and filled in, not left as a placeholder or generic label |
| Handoff-to-sales criteria | Specific and filled in, not left as a placeholder or generic label |
| Conversion-rate and speed-to-lead KPIs | Specific and filled in, not left as a placeholder or generic label |
Common Mistakes to Avoid
- Opaque scoring.
- No routing or SLA.
- Treating all leads equally.
- No nurture path for not-yet-ready leads.
- Ignoring speed-to-lead.
Next Steps After You Generate This
Week 1: pilot with a small internal group or a single channel/segment. Week 2: review real output against the format checklist below and fix the top 2-3 gaps. Weeks 3-4: expand scope and set a recurring review cadence so the workflow stays accurate as your data and process change.
This deliverable gives you a working starting point on day one - keep the [[tokens]] current as your process, tools, and volume change.
Illustrative preview - your actual result is built from your inputs.
How it works.
AI Lead Qualification Agent: provide lead sources, ICP, routing rules and get a complete qualification agent spec in minutes - including enrichment logic, scoring rubric, routing rules. Free AI workflow, no signup required to preview.
Get your qualification agent spec
Qualification-agent spec: ICP, scoring model, routing/SLA, CRM mapping, KPIs.
What good looks like.
Every lead lands in one of two stacks. Maybe is not a stack.
Budget, timing, owner, problem, blocker. Same five, every conversation.
The score is a first pass. A human still reads the top ten before outreach.
What it must include
- 01ICP and qualification framework (BANT/MEDDIC/lead-scoring model)
- 02lead sources and enrichment
- 03scoring criteria with weights and thresholds
- 04routing rules (territory, round-robin, account ownership)
- 05SLA for follow-up speed
- 06CRM integration and field mapping
- 07disqualification/nurture paths
- 08explainability of scores
- 09handoff-to-sales criteria
- 10conversion-rate and speed-to-lead KPIs
Signals of expertise
- ★Speed-to-lead as a conversion driver
- ★weighted scoring with fit + intent signals
- ★round-robin/territory routing
- ★CRM-grounded with clear SLAs
Common mistakes
- ×Opaque scoring
- ×no routing or SLA
- ×treating all leads equally
- ×no nurture path for not-yet-ready leads
- ×ignoring speed-to-lead
Frequently asked.
Is the AI Lead Qualification Agent free to use?
Yes. You can generate a full a qualification agent spec for free with no signup and no credit card. An account is only needed if you want to save the result or download it later.
What do I need to provide to ai lead qualification agent?
3 fields: Lead sources, ICP, Routing rules. Each field has an example placeholder shown in the form, so you always have a model answer to work from even if you're not sure what to type.
How long does it take?
Most people get a finished a qualification agent spec in under five minutes: fill in the inputs, generate, then copy the result into ChatGPT, Claude, or Gemini. Most users reach an 80–90% ready result within 1–3 passes.
Which AI model does it work with?
The output is a portable prompt and template - it works with GPT, Claude, Gemini, or Perplexity. You paste it into whichever model you already use; nothing is locked to one vendor.
What makes a good a qualification agent spec?
It should include: ICP and qualification framework (BANT/MEDDIC/lead-scoring model); lead sources and enrichment; scoring criteria with weights and thresholds; routing rules (territory, round-robin, account ownership); and more. The tool is pre-loaded with these criteria so the generated draft already covers them.
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