How to Automate Gong Call Reviews with AI (3 Methods)

Most sales leaders know the problem: your team runs 50+ calls a week, but you can only listen to a handful. The rest? You hope they went well.

What if every call got graded automatically? What if you knew which reps needed coaching before the deal slipped?

This playbook shows you three ways to automate Gong call reviews — pick the level that matches your technical comfort and time investment.

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What You’ll Walk Away With

Level	What You Get	Complexity
Good	On-demand call analysis when you need it	Low — no technical setup
Better	Pull and grade transcripts without touching Gong’s UI	Medium — requires API credentials
Best	Every call auto-graded, weekly digest in your inbox	Higher — multiple components to configure

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Good: Manual Export + Claude Analysis

Best for: Sales leaders who want quick insights without any technical setup.

What You’ll Get

• Graded transcripts with coaching notes
• Batch analysis of any calls you choose
• Patterns across a set of calls (objection handling, discovery quality, etc.)

The Process

1. Export from Gong: Filter by date, rep, or team → select calls → export as CSV
2. Save locally: Drop files in a consistent folder (e.g., ~/Documents/Gong Transcripts/)
3. Run analysis: Use Claude Code with a grading skill to analyze the batch

How to Build the Grading Skill

Create a Claude Code skill that:

• Reads transcript files from your local folder
• Scores each call against your criteria (discovery quality, talk ratio, next steps, etc.)
• Outputs a summary with grades and coaching notes

Example grading criteria:

• Discovery quality (1-5): Did the rep uncover pain, timeline, budget, decision process?
• Talk ratio: What percentage did the rep talk vs. the prospect?
• Next steps: Clear commitment or vague “let’s circle back”?
• Objection handling: Addressed directly or glossed over?

What You’ll Need

• Gong account with export permissions
• Local folder for transcripts
• Claude Code skill for grading (see workshop materials for skill creation walkthrough)

The Trade-off

You get insights, but you have to remember to do it. No automation means it’s easy to fall behind when things get busy.

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Better: API Integration + On-Demand Pull

Best for: Sales leaders comfortable with API setup who want to skip the Gong UI entirely.

What You’ll Get

• Transcripts pulled directly into Claude Code
• Graded and saved as structured markdown
• No manual exports — just run a command when you want new calls

The Process

1. Get API credentials: Gong Admin → Company Settings → API → Generate credentials (requires admin access)
2. Build the skill: Create a Claude Code skill that calls the Gong API and grades results
3. Run on-demand: When you want to review calls, run the skill — it pulls, grades, and saves everything

How to Build It

Your skill needs to:

• Accept a date range (or default to “since last run”)
• Call POST /v2/calls/transcript with the date filter
• Parse the response and save each transcript locally
• Run your grading logic on each one
• Output a summary of all calls with grades

Folder structure recommendation:

~/Documents/Gong Transcripts/
├── 2026-01/
│   ├── call_12345_grades.md
│   ├── call_12346_grades.md

What You’ll Need

• Gong API credentials (admin access required)
• Claude Code skill for API calls + grading
• Familiarity with API basics (or willingness to learn)

The Trade-off

More powerful than manual exports, but you still have to remember to run it. No notifications when new calls are ready.

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Best: Fully Automated Pipeline

Best for: Sales leaders who want every call graded automatically with zero ongoing effort.

What You’ll Get

• Every call graded the moment it’s processed
• Transcripts + grades synced to Google Drive
• Weekly digest: “12 calls ready for review” in Slack or email
• One-command review to surface patterns and coaching opportunities

How It Works

New call recorded
       ↓
Gong processes transcript
       ↓
Webhook fires → n8n catches it
       ↓
Pull transcript via API
       ↓
Claude grades against your criteria
       ↓
Save locally + sync to Drive
       ↓
Weekly reminder: "Calls ready"
       ↓
Run /review-calls for patterns

How to Build It

Step 1: Set up the Gong webhook

• Gong Admin → Integrations → Webhooks
• Create webhook for “Call Processed” event
• Point to your n8n webhook URL

Step 2: Build the n8n workflow for new calls

• Webhook trigger node (receives Gong event)
• HTTP Request node: POST /v2/calls/transcript with call ID
• Claude node: Grade transcript against your criteria
• Write File node: Save transcript + grade to local folder
• Google Drive node: Sync to shared folder

Step 3: Build the weekly digest workflow

• Schedule trigger (Monday 8am)
• Read local folder for last 7 days of graded calls
• Compile summary stats (avg grade, flagged calls, top performers)
• Slack/Email node: Send digest with link to review

Step 4: Create the review skill

• /review-calls pulls the week’s graded transcripts
• Aggregates patterns across calls
• Flags coaching opportunities
• Allows drill-down into specific calls

What You’ll Need

• Gong API credentials
• n8n instance (cloud: ~$20/mo, self-hosted: free)
• Google Drive (optional but recommended for team access)
• Claude Code skills: grading criteria + review
• Slack or email for notifications

The Trade-off

More components to maintain, but once it’s running, you never think about it. Calls get graded whether you remember or not.

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Sample Grading Criteria

Here’s a starting point — customize based on what matters for your team:

Criteria	What You’re Measuring	Scale
Discovery quality	Did rep uncover pain, timeline, budget, decision process?	1-5
Talk ratio	Rep vs. prospect speaking time	%
Next steps	Clear commitment or vague follow-up?	1-5
Objection handling	Addressed directly or glossed over?	1-5
Personalization	Generic pitch or tailored to prospect?	1-5
Prospect engagement	Were they leaning in or checked out?	1-5

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Why This Matters

For sales leaders: You can’t listen to every call. But now you don’t have to. Weekly reviews show exactly where reps need coaching — before deals slip.

For agency owners: This is productizable. Build the system once, deploy it for clients. “We grade every call your team runs” is a compelling service add-on.

For RevOps: Systematized call review means consistent data. You can finally answer “why are we losing to Competitor X?” with evidence, not hunches.

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Choose Your Path

If you want…	Start with…
Quick insights, no setup	Good: Manual export + Claude analysis
Skip the Gong UI, run on-demand	Better: API integration
Set it and forget it	Best: Fully automated pipeline

Pick one. Get it working. You can always level up later.

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FAQ

Do I need Gong admin access?

For the API methods (Better and Best), yes. For manual exports (Good), you just need export permissions.

What if I use Chorus instead of Gong?

The concepts are the same — Chorus also has API access for transcripts. The specific endpoints will differ, but the workflow structure works.

How accurate is AI grading compared to a human?

It’s consistent, not perfect. AI won’t catch everything a seasoned manager would, but it catches patterns across volume that humans miss. Use it as a first filter, not the final word.

Can I customize the grading criteria?

Yes — that’s the point. The criteria listed here are starting points. Your team’s criteria should reflect what actually matters for your sales motion.

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Related Playbooks

• Product Feedback Loop Pipeline — Turn call insights into product feedback
• Competitive Messaging Audit — Use call patterns to inform competitive positioning

Related Blog Posts

• Claude Code for RevOps: 7 Workflows — More AI-powered workflows for revenue operations teams
• What Is a GTM Engineer? — The role that builds automated sales intelligence systems