AI Summary Generation Guide

Learn how to use LeadMachine's AI to automatically generate summaries of leads, interactions, and notes.

What is AI Summary?

AI Summary uses Gemini AI to analyze all information about a lead and create concise, actionable summaries:

• Overview of the lead and their company
• Key points from all notes and interactions
• Current status and next steps
• Qualification assessment
• Recommended actions

When to Use AI Summary

Perfect for:

• Preparing for a call or meeting
• Taking over a lead from another team member
• Reviewing leads you haven't touched in weeks
• Quickly qualifying incoming leads
• Briefing management on lead status

Saves time:

• No need to read through dozens of notes
• Get context in 30 seconds instead of 10 minutes
• Understand lead history at a glance

Generating a Summary

Single Lead Summary

1. Open lead detail page
2. Click Generate Summary button
3. Wait 5-10 seconds for AI processing
4. Summary appears at top of lead profile

What's Analyzed

AI reviews all available information:

Lead data:

• Name, company, industry
• Job title and role
• Contact information
• Lead source and type

Enrichment data:

• Company size and revenue
• Technologies used
• Recent news
• Social profiles

Interaction history:

• All notes and comments
• Status changes
• Email history
• Call logs
• Meeting notes

Current state:

• Current status
• Assigned user
• Last contact date
• Next follow-up

Summary Content

A typical summary includes:

Overview Section:

• Who the lead is
• Their company and role
• Why they're in your CRM

Key Points:

• 3-5 most important facts
• Main pain points or needs
• Budget/decision authority
• Timeline

Interaction History:

• Summary of past conversations
• What was discussed
• What was promised
• Any concerns raised

Status & Next Steps:

• Current pipeline stage
• Recommended next action
• Priority level
• Potential obstacles

Example:

John Smith - Senior Marketing Director at TechCorp
OVERVIEW:
TechCorp is a 150-person SaaS company in the marketing automation space.
John is evaluating lead management solutions to replace their current
spreadsheet-based system. Budget approved for Q4.
KEY POINTS:
• Primary pain point: losing leads between marketing and sales
• Timeline: Decision by end of Q3, implementation Q4
• Budget: $15K annually approved
• Decision maker: John + VP of Sales approval needed
• Competitor: Currently evaluating HubSpot
RECENT ACTIVITY:
• 8/15: Initial demo completed, positive feedback on workflow automation
• 8/20: Sent pricing proposal, no response yet
• 8/25: Follow-up email sent
• Current: Waiting for response, should follow up 9/1
RECOMMENDATION:
HIGH PRIORITY - Follow up immediately. John mentioned needing decision by
end of month. Offer to set up call with VP of Sales. Emphasize workflow
automation advantages over HubSpot.

Bulk Summary Generation

Generate summaries for multiple leads:

1. Navigate to Leads list
2. Select leads (checkboxes)
3. Click Bulk Actions → Generate Summaries
4. Confirm generation
5. Processing begins (5-10 seconds per lead)

When to use bulk:

• Preparing for weekly pipeline review
• Cleaning up stale leads
• Transferring leads to new team member
• Quarterly lead audit

Auto-Summary

Automatically generate summaries:

On-Demand Auto-Summary

Configure when summaries generate:

1. Settings → Company → AI Settings
2. Auto-Generate Summary:

1. Click Save

Smart triggering:

• AI knows when summary would be helpful
• Doesn't generate if nothing has changed
• Refreshes when significant updates occur

Manual Refresh

Update an existing summary:

1. Open lead detail page
2. Click Refresh Summary
3. New summary replaces old
4. Incorporates latest notes and changes

Refresh when:

• After important call or meeting
• Status change (e.g., Demo → Proposal)
• New enrichment data added
• Taking over lead from teammate

Using Summaries

Quick Review

Before calling a lead:

1. Open lead
2. Read AI Summary first
3. Scan recent notes for details
4. Make the call informed

Benefits:

• Never caught off-guard
• Reference specific past conversations
• Sound prepared and professional

Team Handoffs

When reassigning a lead:

1. Generate fresh summary
2. Assign to new team member
3. They read summary for context
4. Smooth transition, nothing lost

Include in handoff:

• AI Summary
• 2-3 most recent notes
• Any upcoming deadlines

Management Reporting

Use summaries for pipeline reviews:

1. Generate summaries for top deals
2. Export to share with management
3. Discuss based on AI recommendations
4. Make informed decisions

Summary Settings

Customize Summary Format

1. Settings → Company → AI Settings
2. Summary Preferences:

1. Save

Length options:

• Brief (50-100 words) - Quick snapshot
• Standard (150-250 words) - Balanced
• Detailed (300-500 words) - Comprehensive

Focus options:

• Overview - Who they are, what they need
• Next Steps - What to do now
• Full History - Complete interaction timeline

Summary Privacy

Control who sees summaries:

1. Settings → Company → Privacy
2. AI Summaries:

1. Save

Recommendations:

• Most teams: "Lead owner"
• Small teams: "All team"
• Sensitive data: "Admins only"

AI Summary Credits

Each summary uses AI credits:

Check balance:

• Settings → Billing → AI Credits
• View summaries generated this month
• See reset date

Credit usage:

• Generate summary = 1 credit
• Refresh summary = 1 credit
• Failed generation = 0 credits

Best Practices

When to Generate Summaries

High value:

• ✓ Complex deals with long history
• ✓ Before important calls/meetings
• ✓ Leads with 10+ notes
• ✓ When taking over from teammate
• ✓ Stale leads you're revisiting

Low value:

• ✗ Brand new leads (nothing to summarize)
• ✗ Leads with 1-2 notes (just read them)
• ✗ Dead/lost leads
• ✗ Test/spam leads

Optimize for Quality

Better summaries with:

• Detailed notes (not just "Called, no answer")
• Status changes documented
• Next steps clearly stated
• Pain points recorded
• Decision criteria noted

Poor summaries result from:

• Sparse notes
• No interaction history
• Missing key details
• Inconsistent documentation

Review and Edit

AI summaries are helpful but:

• May miss nuance
• Could misinterpret sarcasm
• Might emphasize wrong points
• May be outdated quickly

Always:

• Read the full summary
• Verify key facts
• Add manual note if AI missed something
• Refresh after major updates

Combine with Notes

Best workflow:

1. Read AI Summary for overview
2. Review 2-3 most recent notes
3. Check enrichment data
4. Make informed outreach

Don't rely on summary alone for critical decisions.

Troubleshooting

Summary is Generic

Problem: Summary doesn't help, too vague

Cause: Not enough information to work with

Solutions:

• Add more detailed notes to lead
• Enrich the lead first
• Wait until more interactions logged
• Accept some leads can't be well-summarized

Summary is Wrong

Problem: AI misunderstood something

Solutions:

• Add clarifying note
• Edit incorrect information
• Regenerate summary
• Report issue to improve AI

Summary Won't Generate

Problem: Button spins but no summary appears

Solutions:

• Wait 30 seconds
• Refresh page
• Try again
• Check if out of credits
• Contact support if persists

Out of Credits

Problem: "No summary credits available"

Solutions:

• Wait for monthly reset
• Upgrade plan
• Purchase additional credits
• Prioritize most important leads

Advanced Tips

Summary + Enrichment

Best results using together:

1. Enrich lead - Get company data
2. Add your notes - Document interactions
3. Generate summary - AI combines everything

Export Summaries

Include summaries in exports:

1. Leads → Export
2. Check Include AI summaries
3. Download CSV

Use for reporting or importing to other tools.

Summary in Email

Reference summary when emailing:

1. Generate summary
2. Copy key points
3. Personalize your email
4. Send informed outreach

Example email:

Hi John,
Following up on our demo from 8/15 where we discussed
automating your lead handoff between marketing and sales...
I know you mentioned needing to decide by end of Q3.
Would you be available this week to bring your VP of Sales
into the conversation?
Looking forward to hearing from you.

Privacy & Data Use

What AI Analyzes

AI reads:

• Lead basic information
• All notes and comments
• Enrichment data
• Interaction history
• Public information

Never includes:

• Other leads' data
• Other companies' data
• Private/confidential notes (if marked)

Data Security

• Summaries generated in real-time
• Not stored permanently (regenerated on demand)
• Follows same permissions as lead data
• GDPR compliant

Accuracy

AI summaries are:

• Generally accurate for facts
• Helpful for quick context
• Time-saving for busy teams

But may:

• Miss subtle nuances
• Misinterpret ambiguous notes
• Emphasize less important details
• Become outdated

Always verify before making important decisions.

Getting Help

Email: [email protected]

Include:

• Lead name/ID
• Summary generated (copy/paste)
• What's wrong or missing
• Your current credit balance

Last Updated: October 2025