The Best Conversation Intelligence Software for 2026

Go-to-market teams need data-driven insights to optimize their sales performance and revenue outcomes. Every sales call, customer interaction, and deal conversation contains valuable signals that can significantly impact revenue targets when properly analyzed and acted upon.

Conversation intelligence tools offer these features, and much more. Here's how to determine the best tools for your team, the right features and capabilities, and the ROI you could achieve with the right conversation intelligence tool.

Bottom line: Every conversation is a goldmine of insights. Relying on rep notes misses a massive amount of data that can fuel your sales flywheel for years to come.

What Is Conversation Intelligence Software?

Conversation intelligence software uses AI to analyze sales calls and customer interactions, extracting actionable insights that improve deal outcomes and revenue performance. The technology applies natural language processing, speech recognition, and machine learning to transform unstructured audio into structured, searchable data.

Modern conversation intelligence platforms go beyond transcription. These systems use artificial intelligence to deliver core capabilities including:

• Speech pattern and sentiment analysis: Understand customer engagement levels and emotional responses during conversations

• Sales behavior identification: Surface successful talk tracks and techniques that can be replicated across teams

• Real-time signal detection: Spot buying signals, objections, and competitor mentions as they happen

• Automated coaching insights: Generate recommendations based on top performer behaviors and deal outcomes

• Market intelligence tracking: Aggregate competitor mentions and market intelligence from customer conversations

Why Revenue Teams Need Conversation Intelligence

Revenue leaders face a fundamental problem: most of what happens on sales calls never makes it into the CRM. Reps summarize, forget details, and miss signals. The result is incomplete deal records, inconsistent coaching, and pipeline forecasts built on guesswork instead of evidence.

Conversation intelligence fixes this by capturing every word, analyzing every interaction, and surfacing the patterns that separate winning deals from losses. Teams gain specific benefits:

• Sales leaders: Visibility into deal health without sitting on every call

• Managers: Coaching with specificity instead of intuition

• RevOps teams: Clean data to measure what actually drives revenue

The business case breaks down into four outcomes:

• Deal inspection at scale: Review 100% of customer conversations to identify risks, stalled deals, and expansion opportunities without manual call listening

• Coaching that compounds: Build libraries of winning calls, score reps against playbooks, and cut ramp time by showing new hires exactly what good looks like

• CRM data you can trust: Auto-capture next steps, contact roles, and deal intelligence directly from conversations to eliminate manual data entry and improve forecast accuracy

• Pipeline visibility: Track talk ratios, question patterns, and engagement signals across your entire pipeline to predict which deals will close and which need intervention

Here's how the top conversation intelligence platforms compare:

8 Best Conversation Intelligence Software Tools

1. Chorus by ZoomInfo

Chorus by ZoomInfo is an AI-powered conversation intelligence platform that captures and analyzes customer engagements across calls, video meetings, and email to improve coaching and deal execution. Chorus centralizes recordings, transcripts, and highlights in one searchable library while connecting conversation insights directly to ZoomInfo's B2B intelligence platform and GTM Workspace.

Teams track keywords and talk ratios, review call snippets, and build structured coaching programs with scorecards. Deep CRM integrations help attribute conversations to opportunities and stages, so managers can inspect deal health with context instead of anecdote.

Integration with ZoomInfo Copilot surfaces account-level intelligence and buying committee insights during calls, helping reps prioritize follow-up with decision-makers tied to each account.

Chorus aligns insights with go-to-market workflows through alerting on tracked topics, competitor mentions, and next steps. Managers and reps get timely signals to progress deals. ZoomInfo customers report faster ramp times for new hires and more consistent adherence to sales playbooks. The platform maintains enterprise-grade security with GDPR, CCPA, and SOC 2 Type II compliance.

• Automatic recording and transcription across phone and video meetings with speaker identification

• Topic trackers and libraries for building coaching programs with call snippets and scorecards

• Deal and pipeline views with risk alerts tied to CRM opportunities and stages

• CRM synchronization with Salesforce, HubSpot, and governance controls for data hygiene

• Integration with ZoomInfo GTM Workspace for account intelligence and buying committee insights

• Role-based permissions and enterprise-grade security with GDPR and CCPA compliance

• AI-powered insights from ZoomInfo Copilot to guide rep actions in real time

Learn More About Chorus by ZoomInfo

2. Gong

Gong provides conversation and deal intelligence that transforms sales calls and follow-ups into structured, searchable insights. The platform captures meetings and calls, generates transcripts, and analyzes talk patterns and topics to power coaching workflows.

Managers use deal boards and trackers to review next steps, objections, and competitive mentions, while reps access call snippets for faster recap and stakeholder alignment. Integrations with leading CRMs enable activity sync and opportunity-level reporting. Gong's analytics identify which behaviors correlate with closed deals across the organization.

The platform scales to support large sales organizations with multiple teams, geographies, and product lines. Gong includes forecasting capabilities that tie conversation data to pipeline health and deal progression metrics.

• Call and meeting capture with searchable transcripts and speaker identification

• Deal boards and topic trackers for pipeline inspection and risk identification

• Coaching scorecards and snippet sharing for training and onboarding

• CRM integration for activity and opportunity sync with Salesforce and other platforms

• Talk pattern analysis to identify winning behaviors and replicate across teams

• Forecasting tools that connect conversation signals to pipeline health

Learn More About Gong

3. Clari Copilot

Clari Copilot brings conversation insights into Clari's revenue platform to connect call analysis with pipeline and forecast workflows. The platform provides real-time and post-call guidance to help reps handle objections and identify next steps during customer conversations.

Reps receive live coaching cues based on conversation context, while managers monitor trackers that indicate risk across deals. Copilot ties directly into Clari's broader revenue operations platform, enabling teams to link conversational signals to forecast changes and inspection routines. This integration helps RevOps teams detect revenue leak and prioritize deals that need attention.

The platform focuses on pipeline management and forecast accuracy by surfacing conversation-level insights within the context of overall deal health. Clari Copilot supports teams that need conversation intelligence tightly coupled with revenue operations workflows.

Key Features:

• Real-time and post-call insights with coaching cues and objection handling support

• Topic trackers that map conversation risk to deal health and pipeline stages

• Integration with Clari's pipeline and forecast views for unified revenue operations

• Alerts that identify at-risk deals based on conversation patterns and engagement signals

• Revenue leak detection that connects call analysis to forecast accuracy

• Deal inspection workflows that combine conversation data with opportunity metrics

Learn More About Clari Copilot

4. Avoma

Avoma is a meeting lifecycle platform that combines AI-powered conversation intelligence with collaborative note-taking and coaching features. The platform captures calls and video meetings, generates transcripts and summaries, then analyzes conversations to surface key moments and action items.

The platform integrates with CRMs to sync meeting notes, action items, and deal intelligence automatically. Collaborative features let teams comment on transcripts, share call highlights, and build coaching libraries. Advanced conversation intelligence features, including real-time answer assistant that provides reps with guidance during calls by pulling from knowledge bases and previous successful conversations, are available through the Conversation Intelligence add-on.

Avoma positions itself as an accessible option for mid-market teams that need robust conversation intelligence without enterprise pricing. The platform supports agenda templates, automated scheduling, and meeting preparation workflows alongside core CI capabilities.

Key Features:

• Meeting lifecycle management from scheduling to follow-up with automated workflows

• Real-time answer assistant available with Conversation Intelligence add-on for knowledge base access during calls

• AI-generated summaries with action items, key topics, and deal intelligence extraction

• Collaborative notes and transcript commenting for team alignment and coaching

• CRM integration with automatic sync of meeting outcomes and next steps

• Agenda templates and meeting preparation tools to standardize customer interactions

• Coaching scorecards and call libraries available with Conversation Intelligence add-on for training programs

Learn More About Avoma

5. Jiminny

Jiminny offers conversation intelligence with AI-powered analysis and coaching features for sales and customer success teams. The platform captures calls and meetings, then scores conversations against playbooks while highlighting coachable moments for manager review.

Teams use libraries and playlists to scale best practices across the organization. Managers build curated collections of successful calls organized by topic, objection type, or deal stage, then share these playlists with reps for self-guided learning. CRM integrations align recordings and insights with opportunities and accounts for cleaner reporting and deal inspection.

Jiminny focuses on playlist-based coaching workflows that help managers train teams at scale. The platform includes scorecards that measure rep performance against defined criteria, making it easier to identify skill gaps and track improvement over time.

Key Features:

• AI analysis with coaching scorecards that measure rep performance against playbooks

• Playlists and libraries for organizing successful calls by topic and deal stage

• Searchable call library with snippets and highlights for faster coaching

• CRM synchronization with Salesforce, HubSpot, and other platforms for deal tracking

• Coachable moment detection that surfaces key conversation points for manager review

• Dashboards that track team performance and adherence to sales methodologies

• Governance controls for access and sharing across teams and regions

Learn More About Jiminny

6. Fireflies

Fireflies is an AI assistant that records, transcribes, and summarizes meetings to help teams document calls and identify action items. The tool integrates with major web-conferencing platforms, captures voice conversations, and generates outlines with highlights.

Sales teams use Fireflies to streamline note-taking and share follow-ups without manual documentation. The platform supports smart search across past meetings to retrieve exact quotes, decisions, or action items using keywords or speaker names. Collaboration features let teams comment on transcripts, tag colleagues, and create soundbites from key moments.

Fireflies emphasizes cross-platform capture and searchable conversation history. The platform works with Zoom, Google Meet, Microsoft Teams, and other conferencing tools, making it accessible for distributed teams using multiple communication channels.

Key Features:

• Cross-platform meeting capture and transcription for Zoom, Google Meet, Microsoft Teams, and more

• AI summaries with action items, key topics, and highlights extracted automatically

• Searchable meeting repository with smart search by keyword, speaker, or topic

• Integrations with calendars, CRMs, and collaboration tools for workflow automation

• Speaker identification and tagging for multi-participant conversation tracking

• Soundbites and clip creation for sharing key moments with team members

• Collaboration features including transcript comments and team channels

Learn More About Fireflies

7. Fathom

Fathom is a free meeting assistant that records, transcribes, and summarizes Zoom, Google Meet, and Microsoft Teams sessions. The platform focuses on quick setup and automated note generation so participants can stay present in the conversation without manual documentation.

Sales and customer teams use summaries and timestamps to align on next steps without manual note-taking. Lightweight integrations help route summaries to productivity tools and CRMs for follow-up workflows. Fathom emphasizes speed and simplicity over advanced analytics, making it accessible for individual reps and small teams.

The free tier provides unlimited recordings and transcription with instant call summaries, though advanced AI features (action items, follow-up emails, Ask Fathom conversational assistant) are limited to 5 meetings per month, and CRM sync is limited to 3 users per email domain. This makes Fathom a practical option for individuals testing conversation intelligence or small teams who need basic meeting documentation without enterprise features.

Key Features:

• Free tier with rapid onboarding and no credit card required (advanced AI features limited to 5 meetings/month)

• Automated summaries and timestamps for quick meeting recaps

• Support for Zoom, Google Meet, and Microsoft Teams with one-click recording

• Export and workflow integrations for routing summaries to CRM and productivity tools (free tier CRM sync limited to 3 users per domain)

• Summary templates for consistent meeting documentation across teams

• Highlight and clip creation for sharing key moments from conversations

Learn More About Fathom

8. Outreach

Outreach is a sales engagement platform with embedded conversation intelligence that unifies sequence automation, meeting scheduling, and call analysis in one workflow. The platform captures calls and video meetings, then analyzes conversations to surface deal intelligence and coaching opportunities.

Outreach connects conversation insights directly to sequence performance and opportunity scoring. Reps see which messages drive meetings, which calls advance deals, and which engagement patterns correlate with closed business. This unified approach eliminates context switching between separate tools for outbound automation and conversation analysis.

The platform focuses on outbound-heavy teams that need conversation intelligence tightly integrated with multi-channel engagement workflows. Deal management features connect call outcomes to sequence steps, email opens, and opportunity stage progression for complete visibility into what drives pipeline.

Key Features:

• Sales engagement platform with embedded conversation intelligence for unified workflows

• Sequence automation that connects email, phone, and social outreach to call outcomes

• Deal management with opportunity scoring based on engagement signals and conversation data

• Call recording and transcription with AI-powered insights and coaching recommendations

• Integration with CRMs for bi-directional sync of activities, opportunities, and conversation intelligence

• Analytics that tie conversation patterns to sequence performance and pipeline progression

• Meeting scheduling and preparation tools integrated with conversation capture

Learn More About Outreach

How to Choose Conversation Intelligence Software

The right conversation intelligence platform fits your team's workflow, captures the channels that matter, and delivers insights where managers and reps already work. Start by mapping your coaching and deal-inspection goals to platform capabilities, then validate integration depth with your CRM and conferencing stack during trials.

Match CI to Your Sales Motion

Different sales motions demand different conversation intelligence capabilities. Outbound-heavy teams need real-time guidance and sequence integration. Enterprise sales organizations prioritize deal inspection and forecast accuracy.

Coaching-focused managers want playlist libraries and scorecards. Your sales motion determines which features actually drive adoption versus which create unused data.

Key considerations:

• Inbound vs. outbound focus: Does your team need real-time battle cards or post-call deal analysis?

• Deal complexity: Are you selling transactional products or multi-stakeholder enterprise deals?

• Coaching vs. inspection priority: Do managers spend more time developing reps or reviewing pipeline risk?

• Team size and structure: Will you roll out to individual teams or deploy across the entire revenue organization?

Evaluate Integration Depth

Conversation intelligence only works if insights flow into the systems your team already uses. Surface-level integrations that require manual exports create friction. Deep integrations that bi-directionally sync activities, update opportunity fields, and trigger workflows based on conversation signals drive actual behavior change.

Key considerations:

• CRM field mapping: Can the platform auto-populate custom fields, update opportunity stages, and log activities to Salesforce or HubSpot?

• Sales engagement connectivity: Does conversation data flow back to sequence performance in Outreach, Salesloft, or similar platforms?

• Workflow automation: Can you trigger alerts, task creation, or follow-up sequences based on conversation events?

• Conferencing platform support: Does the tool capture your team's primary meeting channels without requiring process changes?

Assess AI Accuracy and Outputs

Transcription accuracy and insight quality vary significantly across platforms. Poor transcription creates noise, weak topic detection misses critical moments, and generic summaries provide no more value than rep notes.

Test platforms with actual customer calls to validate whether AI outputs are accurate enough to trust for coaching and deal decisions.

Key considerations:

• Transcription accuracy: How well does the platform handle industry terminology, accents, and poor audio quality?

• Speaker identification: Can the system distinguish between multiple participants and tag speakers correctly?

• Topic detection quality: Does the platform surface genuinely important moments or flag generic keywords?

• Summary usefulness: Are AI-generated summaries specific enough to replace manual notes or too generic to be actionable?

Consider Total Cost of Ownership

Pricing models vary from per-seat subscriptions to usage-based fees. Implementation costs include CRM configuration, user training, and ongoing administration.

Free tiers work for individuals but lack enterprise features. Calculate total cost of ownership by factoring in setup time, training requirements, and the ongoing effort needed to maintain adoption.

Key considerations:

• Pricing model: Per-seat, per-recording, or tiered plans based on feature access?

• Implementation timeline: How long until your team is fully onboarded and using the platform daily?

• Training requirements: Can reps self-serve or do you need dedicated enablement resources?

• Admin overhead: What ongoing effort is required to maintain integrations, governance, and user adoption?

Who Should Use Conversation Intelligence Software?

Conversation intelligence delivers value across revenue teams, but different roles use the platforms for distinct outcomes. Sales leaders inspect deals and forecast accuracy, RevOps teams improve CRM data quality, and enablement builds training programs from real customer conversations.

Understanding which personas benefit most helps you target rollout and measure ROI.

Sales Leaders and Managers

Sales leaders and managers use conversation intelligence for:

• Deal inspection: Review pipeline health without sitting on every call

• Coaching efficiency: Build call libraries and scorecards for systematic skill development

• Performance visibility: Identify which behaviors correlate with closed business

• Risk identification: Spot at-risk deals and coaching opportunities

• Best practice replication: Share winning talk tracks across teams

Revenue Operations Teams

RevOps teams leverage conversation intelligence to:

• Improve CRM data quality: Auto-capture meeting outcomes and next steps

• Enhance pipeline accuracy: Validate deal stages against actual conversation content

• Support forecasting: Surface conversation-level signals that indicate deal health and progression likelihood

Sales Enablement

Enablement teams use conversation intelligence to:

• Accelerate onboarding: Show new hires examples of successful discovery calls and demos

• Build call libraries: Organize content by topic and objection type for self-guided learning

• Measure playbook adherence: Score actual conversations against defined methodologies and talk tracks

Frequently Asked Questions

What Is the Difference Between Conversation Intelligence and Call Recording?

Call recording captures audio or video of conversations for later playback. Conversation intelligence adds AI analysis, transcription, sentiment detection, topic tracking, and coaching insights extracted automatically from those recordings to turn raw audio into actionable data.

How Accurate Is AI Transcription in CI Software?

Transcription accuracy varies by vendor and audio quality, with factors like background noise, accents, and technical terminology affecting results. Test platforms with your actual customer calls during trials to validate accuracy for your specific use case.

Does Conversation Intelligence Software Integrate with My CRM?

Most conversation intelligence platforms integrate with major CRMs including Salesforce and HubSpot. Integration depth varies from basic call recording sync to bi-directional updates of opportunity fields, activity logging, and workflow triggers based on conversation events.

How Long Does CI Implementation Take?

Implementation timelines range from same-day setup for lightweight tools like Fathom to several weeks for enterprise deployments that require CRM configuration, user training, governance policies, and integration with existing sales engagement platforms.

Is Conversation Intelligence Software Compliant with Privacy Regulations?

Enterprise conversation intelligence platforms typically support GDPR, CCPA, and other privacy regulations through features like consent management, data retention policies, and recording disclosure. Confirm specific compliance requirements and consent workflows with vendors during evaluation.

Turn Conversations Into Revenue Signals

The right conversation intelligence platform transforms how revenue teams coach, inspect deals, and forecast outcomes. Your selection comes down to four factors:

• Sales motion fit: Does the platform support your team's specific coaching and deal inspection needs?

• Integration depth: Will conversation insights flow into the CRM and engagement tools your team already uses?

• AI accuracy: Are transcripts and summaries reliable enough to trust for coaching and deal decisions?

• Total cost: Does pricing align with your budget when factoring in implementation and ongoing administration?

Chorus by ZoomInfo connects conversation intelligence directly to B2B data and GTM workflows, giving revenue teams the context they need to prioritize accounts, coach with precision, and turn every customer interaction into pipeline intelligence. Talk to our team to see how Chorus fits your revenue motion.