THE COMPARISON / A CLOSER LOOK
Gong AI vs Grain
Compare the listed plans, useful capabilities, and practical tradeoffs.
Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.
Gong AI
🟢No CodeSales & Marketing AI
Revenue AI platform that records and analyzes every sales call, email, and meeting to surface deal risks, coach reps, and forecast revenue — trusted by 5,000+…
SOURCE-CHECK COVERAGE
No scoped source-check record shown. Check current pricing and vendor terms before buying.
Starting Price
~$1,600/user/year + platform feeGrain
🟢No CodeMeeting Intelligence
AI notetaker built for growing sales and customer success teams with video highlights, CRM sync, and coaching…
SOURCE-CHECK COVERAGE
No scoped source-check record shown. Check current pricing and vendor terms before buying.
Starting Price
FreeFeature Comparison
Focus the table and use arrow keys to scroll when columns extend beyond the screen.
The editorial take
Choose Grain if you're an SMB or mid-market team wanting transparent $15/user/month pricing, fast deployment, and the core 80% of conversation intelligence without enterprise contracts. Choose Gong if you have a dedicated RevOps team, $1,200+/user/year budget, and need deep deal forecasting, pipeline analytics, and AI-driven coaching scorecards across hundreds of reps.
Gong AI - Pros & Cons
Pros
- ✓Category-defining conversation intelligence with the deepest AI analysis of sales calls available — talk ratios, sentiment, competitor mentions, and deal signals automatically extracted
- ✓Revenue Graph unifies calls, emails, meetings, and CRM data into a single intelligence layer that no competitor fully replicates
- ✓Forecast accuracy improves significantly over CRM-based forecasting because it uses actual engagement signals rather than rep self-reporting
- ✓6,200+ G2 reviews with 4.8/5 average rating — consistently the highest-rated platform in the revenue intelligence category, and a Leader in the Forrester Wave
- ✓Trusted by 5,000+ customers including the majority of the Fortune 10, providing strong enterprise validation for risk-averse procurement
- ✓Coaching grounded in real customer conversations is dramatically more effective than generic sales training programs
- ✓Integrates with 100+ tools including Salesforce, HubSpot, Zoom, Teams, Slack, and all major video conferencing platforms
Cons
- ✗Pricing starts around $1,600/user/year plus a $5,000 platform fee — a 10-person team costs ~$21,000/year before add-on modules
- ✗No public pricing page — requires sales conversations, and final costs are often opaque until late in the buying process
- ✗Annual contracts with 2-3 year commitments are standard — limited flexibility for teams that might outgrow or pivot
- ✗Add-on module pricing (Forecast, Engage, Enable, Agents) can double or triple the base cost for full-suite adoption
- ✗Onboarding and implementation fees (~$7,500) add to first-year costs, and the learning curve for administrators is steep
Grain - Pros & Cons
Pros
- ✓Video clip sharing more impactful than text summaries for stakeholders
- ✓Deep HubSpot integration with automatic property enrichment
- ✓MCP server enables AI tools to access meeting data directly
- ✓Coaching and conversation intelligence built for sales team improvement
- ✓Free plan available for individual users to get started
- ✓Trackers provide cross-team visibility into topic trends
- ✓API enables custom integrations beyond standard connectors
Cons
- ✗Sales-focused features less useful for non-revenue teams
- ✗Free plan more limited than Fathom's unlimited free tier
- ✗Video clip approach requires recipients willing to watch clips
- ✗Conversation intelligence less mature than Gong for deal forecasting
- ✗HubSpot integration is deep but Salesforce support is less developed
- ✗Smaller market presence and community compared to Otter.ai or Fireflies
- ✗Pricing per user adds up quickly for larger sales teams
Not sure which to pick?
🎯 Take our quiz →Price Alert Interest
Record the tools you want pricing updates for