Make.com Gong Integration Competitor Analysis Airtable AI Processing

Conduct competitor analysis from Gong calls and store the data on Airtable

Automatically extract competitor insights from sales calls using AI and organize them in Airtable for strategic advantage

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Automated competitor analysis workflow diagram showing Gong call data flowing to Airtable

What This Workflow Does

This automation transforms raw Gong call recordings into actionable competitive intelligence. It automatically detects when competitors are mentioned during sales conversations, analyzes what customers say about them, and structures these insights in Airtable for easy reference.

The system identifies not just competitor names but also the context: which products/services were discussed, perceived strengths and weaknesses, pricing comparisons, and common objections where competitors come up. This gives sales teams a strategic advantage by revealing patterns across customer conversations.

How It Works

1. Gong call monitoring

The workflow continuously monitors new Gong call recordings through API connections. When a new call is logged, it automatically pulls the transcript and metadata (participants, date, deal stage).

2. AI-powered competitor detection

Using natural language processing, the system scans call transcripts for competitor mentions. It goes beyond simple name recognition to understand context - identifying products discussed, customer sentiments, and comparative statements.

3. Insight categorization

Each competitor mention is analyzed and tagged with relevant categories: product comparisons, pricing discussions, feature differentiators, customer pain points, or strengths/weaknesses. This structured data makes analysis more actionable.

4. Airtable database population

The processed insights are automatically added to an Airtable base with fields for competitor name, mentioned products, sentiment analysis, call context, and timestamps. This creates a searchable competitive intelligence repository.

Who This Is For

This workflow is ideal for B2B sales teams that:

  • Regularly encounter competitor mentions in discovery calls
  • Need to track competitive positioning across multiple accounts
  • Want to identify patterns in how customers perceive competitors
  • Share competitive intelligence across sales/marketing/product teams
  • Seek data-driven insights for objection handling training

What You'll Need

  1. Active Gong account with API access
  2. Make.com account (formerly Integromat)
  3. Airtable account with a base prepared for competitor data
  4. List of competitor names/products to monitor
  5. Optional: AI service API key for enhanced analysis

Quick Setup Guide

  1. Connect your Gong account in Make.com using API credentials
  2. Set up the Airtable connection and map fields for competitor data
  3. Configure the competitor detection parameters (names, products, synonyms)
  4. Test with sample call transcripts to refine analysis rules
  5. Schedule the workflow to run automatically after each new call

Pro tip: Create an Airtable dashboard view filtered by competitor to quickly see all mentions and sentiment trends for each rival.

Key Benefits

Save 5+ hours per week by automating competitor analysis that would otherwise require manual call review and note-taking.

Improve win rates by 15-20% with better-prepared sales teams who understand competitive positioning from real customer conversations.

Spot market trends faster with aggregated data showing which competitor mentions are increasing and why.

Align messaging across teams by sharing structured competitive insights with marketing and product development.

Create training materials automatically from common competitor objections and effective responses captured in calls.

Frequently Asked Questions

Common questions about competitor analysis automation and integration

Competitor analysis helps sales teams understand competitor strengths, weaknesses, and customer perceptions. This enables more targeted positioning, better objection handling, and strategic differentiation in sales conversations.

Automated analysis from call recordings ensures insights are captured consistently without manual note-taking. Sales reps can focus on the conversation knowing key competitive data will be captured and organized automatically.

AI can automatically detect competitor mentions, analyze sentiment around their products/services, and extract key themes from conversation transcripts. This eliminates hours of manual review while providing structured data that's easier to analyze at scale across multiple customer interactions.

Advanced systems can even identify subtle competitive references through contextual understanding, catching indirect comparisons like "your solution handles this better than others" that simple keyword searches might miss.

The most valuable insights include frequently mentioned competitors, customer perceptions of competitor strengths/weaknesses, pricing comparisons, feature differentiators customers care about, and common objections where competitors are referenced.

Tracking these over time reveals market trends. For example, noticing increasing mentions of a specific competitor's new feature can alert product teams to market shifts before they impact win rates.

  • Frequency and context of mentions
  • Customer sentiment trends
  • Emerging competitive threats

Airtable provides a centralized, searchable database of competitor insights that can be filtered by account, competitor, product, or timeframe. Sales teams can quickly reference past findings before calls with similar accounts.

The relational database structure allows connecting competitor insights to account records, opportunity stages, and deal outcomes. This helps identify which competitive factors most impact win/loss decisions in your market.

Gong captures authentic customer conversations where competitors are often mentioned organically. Unlike surveys, these unprompted references reveal what customers truly think about competitors in real buying scenarios.

Gong's transcription and API access enable automated processing at scale. The platform's call metadata (deal stage, participants) adds valuable context to competitor mentions that standalone transcripts lack.

Monthly reviews help spot emerging trends, while quarterly deep dives can inform competitive positioning updates. Real-time alerts for major competitor mentions enable immediate follow-up.

The key is balancing timely awareness with strategic pattern recognition. Sales reps should check recent insights before important calls, while managers analyze aggregated data to guide team training and messaging.

Yes! GrowwStacks specializes in building tailored competitive intelligence systems. We can customize the AI analysis, integrate additional data sources, create dashboards, and set up alerts specific to your competitive landscape.

Our solutions help sales teams act on insights faster. Typical customizations include adding CRM integration, competitive battle cards auto-generation, and win/loss analysis connections. We design systems that fit your existing tech stack and sales processes.

  • Custom competitor monitoring parameters
  • Integration with your CRM
  • Automated reporting and alerts

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