AI Agent Index

Gong vs Clari (2026)

Side-by-side comparison of Gong vs Clari: pricing, capabilities, integrations, deployment complexity, and ratings. Last updated June 2026.

Data sourced from The AI Agent Index · Updated daily

Editorial Verdict

Gong and Clari address different parts of the revenue stack. Gong owns conversation intelligence -- recording, transcription, and coaching from real calls. Clari owns revenue forecasting and pipeline inspection. Many enterprise teams use both. If forced to choose, pick Gong for sales coaching and Clari for forecast accuracy.

Gong logo

Gong

by Gong

Revenue intelligence platform that records every sales call, surfaces deal risks, and auto-populates CRM from conversation data. Used by 5,000+ companies. Custom enterprise pricing.

Best for

Sales teams that want to improve performance through call analysis and rep coaching

customB2B
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Clari logo

Clari

by Clari

AI revenue orchestration platform combining forecasting, pipeline management, and deal inspection with Salesloft engagement. 5,600+ G2 reviews at 4.6/5. Custom enterprise pricing.

Best for

Revenue leaders who need accurate pipeline forecasting and deal inspection at scale

customENTERPRISE
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Gong
Clari
Pricing model
custom
custom
Starting price
Contact sales
Contact sales
Pricing transparency
quote only
quote only
Contract type
annual only
annual only
Customer segment
B2B
ENTERPRISE
Deployment
web, api
web, api
Setup difficulty
moderate
complex
Avg setup time
1-2 weeks (CRM integration, call recording setup, team onboarding)
2 to 6 weeks (CRM integration, sales data sync, RevDB configuration, sales team onboarding)
Editorial rating
4.5 / 5
4.4 / 5
G2 rating
4.7/5 (6669 reviews)
4.6/5 (5607 reviews)
MCP compatible
Yes
Yes
GitHub stars
N/A
N/A
Data training
not disclosed
not disclosed
Human in loop
optional
optional
Security certs
SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, CCPA
SOC 2 Type II, ISO 27001, GDPR

Capabilities

Gong

conversation-intelligencedeal-analysisforecastingpipeline-managementreportingcrm-sync

Clari

forecastingpipeline-managementrevenue-intelligenceconversation-intelligencedeal-analysisreporting

Pros & Limitations

Editorial assessment

Gong

Pros

  • Conversation intelligence trained specifically on sales interactions: identifies deal risks, competitor mentions, and buyer sentiment from actual calls rather than CRM data entry, giving managers visibility into what is actually happening in deals
  • Auto-populates Salesforce and HubSpot from call and email activity, reducing manual CRM logging and improving pipeline data accuracy without requiring rep discipline to maintain records
  • MCP integration enables external AI systems to access Gong revenue intelligence directly: Microsoft Copilot, Salesforce Einstein, and other AI tools connect to Gong call data and deal signals with enterprise-grade access controls, expanding the platform beyond a standalone tool into a revenue data layer for the broader AI stack

Limitations

  • Custom enterprise pricing with no published rates: requires a sales conversation to get a number, and third-party estimates suggest a 10-person team runs approximately $21,000 per year, making it difficult for SMBs to evaluate without significant time investment
  • Insights are only as good as call coverage: teams that do not record consistently or use channels outside Gong's capture will see incomplete deal intelligence, reducing forecast accuracy
  • Significant onboarding and change management required: value realisation takes weeks to months as the AI calibrates to your team's conversation patterns and sales motion

Clari

Pros

  • Revenue forecasting accuracy driven by real deal signals rather than CRM data entry: Clari's AI analyses pipeline activity, email engagement, and meeting patterns to predict outcomes, reducing the forecast variance that plagues teams relying on rep-submitted pipeline data.
  • Post-Salesloft merger creates the most complete enterprise revenue platform available: engagement, conversation intelligence, deal management, and forecasting under one vendor, reducing integration overhead and vendor management for large revenue organizations.
  • Deepest independent evidence base in the category with 5,600+ G2 reviews at 4.6/5: enterprise buyers can evaluate real user sentiment at scale rather than relying on vendor claims or small sample sizes.

Limitations

  • Custom enterprise pricing with no published rates: requires sales engagement for any commercial discussion, typically out of reach for teams below 50 seats, making it impossible to evaluate cost before committing to a sales cycle.
  • The Salesloft merger creates platform complexity: buyers evaluating Clari are now evaluating a much larger combined product stack, and integration quality between the Clari and Salesloft layers is still maturing post-merger.
  • Requires significant CRM data hygiene to unlock forecasting value: teams with inconsistent Salesforce data, poor opportunity management discipline, or limited activity logging see diminished accuracy from Clari's AI layer compared to teams with clean CRM practices.

Frequently asked questions

What is the difference between Gong vs Clari?

Gong and Clari address different parts of the revenue stack. Gong owns conversation intelligence -- recording, transcription, and coaching from real calls. Clari owns revenue forecasting and pipeline inspection. Many enterprise teams use both. If forced to choose, pick Gong for sales coaching and Clari for forecast accuracy.

Which is best for my team — Gong vs Clari?

Gong is best for: Sales teams that want to improve performance through call analysis and rep coaching. Clari is best for: Revenue leaders who need accurate pipeline forecasting and deal inspection at scale.

How does pricing compare between Gong vs Clari?

Gong uses a custom model. Clari uses a custom model.

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