Clari Copilot
Clari Copilot (rebranded from Wingman after Clari acquired it in 2022) focuses on recording calls, surfacing deal risks, and feeding insights into Clari's broader forecasting platform. It transcribes meetings, tracks keywords and sentiment, measures talk ratios, and flags next-step ambiguity. The value proposition is tight integration with Clari's revenue platform: conversation signals flow directly into pipeline inspection and forecast models. RevOps teams pick Copilot when they already use Clari for forecasting and want a single vendor for revenue intelligence.
Official site ↗Why it ranks here
- Only conversation intelligence tool that natively feeds Clari's forecasting and pipeline inspection workflows; if you use Clari for revenue operations, Copilot is the obvious choice to avoid stitching together multiple tools.
- Call recording and transcription quality match Gong and Chorus; the AI models reliably flag deal risks, competitor mentions, and coaching moments without excessive false positives.
- Pricing is simpler than Gong or Chorus when bundled with Clari's revenue platform; you avoid negotiating separate contracts and seat minimums for CI and forecasting.
Where it sits
- The platform skews call-focused and does not match Gong on email analysis, multi-channel timelines, or third-party integrations. Email sequences and CRM activity unification lag behind.
- AI depth and revenue intelligence integration surpass standalone tools like Avoma or Jiminny, though those tools offer simpler, lower-cost options for teams without enterprise forecasting needs.
- Bundling strategy dictates the choice between Copilot and Chorus. Chorus pairs with ZoomInfo intent data; Copilot pairs with Clari forecasting. Pick the ecosystem you already use.
How GTM Operations teams use it
- Route conversation signals (sentiment shifts, missing next steps, stalled deals) directly into Clari's pipeline inspection views; managers review at-risk deals with call evidence in hand instead of relying on rep updates.
- Build coaching scorecards that track discovery rigor, objection handling, and multi-threading; enablement teams use these to identify skill gaps and assign targeted training.
- Feed call data into forecast models to improve accuracy: deals with clear next steps, multiple stakeholders engaged, and positive sentiment close at higher rates. Clari uses this to adjust forecast confidence.
- Create libraries of winning call moments (pricing discussions, ROI positioning, champion building) and surface them in onboarding programs or manager 1:1s.
In-depth notes
- Pricing is per-seat annual, typically bundled with Clari revenue platform. Standalone Copilot pricing is rarely disclosed; bundled deals use per-user annual contracts.
- If you do not use Clari for forecasting, the integration advantage disappears. Evaluate Copilot against Gong or Chorus on pure conversation intelligence features before committing.
- The rebrand from Wingman to Copilot in 2023 caused some UI confusion; documentation and help articles still reference old terminology. This will smooth out over time.
- Mobile experience is basic compared to Gong; reps struggle with call playback and note-taking on phones. Copilot is desktop-first.
- Implementation requires tight coordination between RevOps (who own Clari forecasting) and sales enablement (who own coaching workflows). Do not silo the rollout or adoption will suffer.
Best for
Teams already using Clari for forecasting and pipeline inspection who want conversation intelligence tightly integrated with their revenue operations workflows.
Avoid if
You do not use Clari for forecasting (the integration advantage disappears), or you need leading email analysis and multi-channel deal timelines (Gong wins there).
The rest of Conversation intelligence
Gong Leader Records and analyzes calls, emails, and meetings to surface deal risks, coaching moments, and revenue intelligence. #2 
Chorus (ZoomInfo) Leader Conversation intelligence platform (now part of ZoomInfo) that records calls and meetings, transcribes content, and highlights deal risks and coaching moments. #4 
Salesloft Conversations Strong Conversation intelligence module within Salesloft that records calls, transcribes content, and surfaces coaching insights and deal risks. #5 
Avoma Strong Meeting assistant that records, transcribes, and analyzes sales conversations, then auto-generates summaries and action items synced to CRM. #6 
Jiminny Strong Conversation intelligence platform focused on call recording, coaching workflows, and deal pipeline visibility for revenue teams. #7 
Fathom Situational Simple meeting recorder that transcribes calls, generates AI summaries, and syncs notes to CRM; focused on ease of use over deep analytics. #8 
Fireflies.ai Situational AI meeting assistant that records, transcribes, and summarizes calls across Zoom, Google Meet, and Teams; built for general productivity, not sales-specific workflows. #9 
Sybill Situational AI meeting assistant that analyzes calls for sentiment, body language, and engagement signals, then auto-generates CRM notes and follow-up emails. #10 
Momentum Situational AI assistant that captures call notes, auto-drafts follow-ups, creates deal rooms in Slack, and syncs data to CRM to reduce manual work for sellers. #11 
Otter.ai Situational Real-time transcription tool for meetings, lectures, and interviews; built for general productivity and collaboration, not sales-specific workflows. #12 
tl;dv Niche Meeting recorder for remote teams that transcribes calls, timestamps key moments, and integrates with Slack and Notion; optimized for distributed collaboration. Learning guide
Setup
Connect Salesforce and Zoom; configure recording consent; enable the Clari forecasting integration so conversation signals flow into pipeline inspection views.
First thing to build
Build a deal risk tracker that surfaces sentiment shifts and missing next steps in your Clari pipeline inspection dashboard; use this in weekly forecast calls.
What actually matters
- Define conversation signals (sentiment, next-step clarity, stakeholder engagement) that feed Clari forecast confidence scores.
- Set up coaching scorecards for discovery and objection handling; assign these to managers for 1:1 reviews.
- Map call data fields to Salesforce custom fields so pipeline reports can consume conversation insights outside Clari.
- Align access controls with your Clari permissions: forecast owners see team calls, RevOps sees aggregates.
Watch out
Implementation requires coordination between RevOps (who own Clari forecasting) and sales enablement (who own coaching); siloed rollouts lead to low adoption.