Top AI Tools for Sales Call Analysis

Most sales teams review less than 30% of their customer calls. The rest of the objections, buying signals, and rep mistakes go unnoticed every week.

The best AI tools for sales call analysis fix this by automatically recording, transcribing, and scoring every call without anyone having to listen manually. Managers get a full picture of what is happening across their team, based on real data rather than memory or spot checks.

This post covers seven of the best AI call analysis tools available right now, what each one does well, and who it is best suited for. In case you are evaluating your first AI call analysis tool or switching from one you have outgrown, the comparison below covers the full range.

What Good Call Analytics AI Software Should Do

Before comparing tools, here is what any serious call analytics AI software should give you:

Automatic recording and transcription with speaker labels
A quality score per call is calculated by AI, not manually
Sentiment tracking for both the agent and the customer
Detection of talk time ratios, filler words, and loudness
Compliance checks against your internal call standards
Searchable transcripts with keyword filtering
Team-level dashboards showing performance by agent and by day

An Overview of Top AI Tools for Sales Call Analysis

Tool	Best For	Call Type	Real-Time Coaching	Custom Scoring
Runo	Telecalling, mobile-first teams	SIM and cloud	Post-call	Yes
Gong	Enterprise B2B revenue teams	VoIP and meetings	No	Limited
Chorus	ZoomInfo GTM teams	VoIP and meetings	No	No
Clari Copilot	Forecast-linked analysis	VoIP and meetings	Yes	Limited
Salesloft	Cadence-based outbound	VoIP and meetings	No	Limited
Avoma	Small teams, budget-friendly	VoIP and meetings	Yes	Yes
Revenue.io	Real-time in-call coaching	VoIP only	Yes	Yes

1. Runo: Best for High-Volume Mobile Sales and Telecalling Teams

Runo is a SIM-based Call Management CRM with built-in AI call analysis. Unlike other tools on this list that work on top of VoIP or cloud telephony, Runo routes calls through the device’s actual SIM card, which gives it a 78% call connect rate compared to under 30% for cloud-based dialers.

Every call is automatically recorded and analyzed. No bot joins the call; no setup is required per session. Results are ready the moment the call ends.

What the AI analyzes:

AI Call Summaries are generated automatically after every call, covering what was discussed, what the customer shared, and what was agreed upon. Agents do not write notes.

Sentiment analysis tracks the emotional tone of both the agent and the customer separately, assigning a positive, neutral, or negative score to each.

The Call Quality Score assigns every call a number out of 100, calculated from speaking time, compliance, filler words, sentiment, and conduct, without manual grading.

Parameters for compliance verify that the agent used appropriate language when introducing themselves, closing, handling objections, and avoiding slang. You can see which line of the transcript was used as evidence with each check.

Using the Custom AI Scorecard , supervisors can construct their own evaluation questions, specify the meaning of a yes/no response, allocate weights to the scores, and have these criteria automatically applied to all future calls. So, teams can avoid being stuck with generic defaults if they have specific scripts or internal requirements.

The Sales Call Tracking Software and Call Center Monitoring Software provide managers with a live dashboard that shows agent status, connection rates, today’s call totals, and AI insights in real time. All data exports to Google Sheets with every compliance column included.

Best for: Telecalling teams, inside sales, delivery operations, and mobile-first sales teams making high-volume outbound calls.

Also read: What is Call Analytics? Benefits, Features, and Key Metrics

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2. Gong: Best for Enterprise Revenue Teams

The majority of business sales teams use Gong, an artificial intelligence call-tracking software. It records and analyzes all types of communication to reveal potential deal risks, opportunities for coaching, and the pipeline’s state.

Gong’s AI transcribes calls, tags key topics, action items, and risks, and makes everything searchable by rep, account, deal stage, or keyword. It is also among the most established AI call tracking software options for tracking deals across long enterprise sales cycles. According to Gong’s December 2025 State of Revenue AI report, sales teams using AI regularly generate 77% more revenue per representative than those that do not.

Key features: Call transcription and scoring, talk ratio tracking, competitor mention detection, deal risk alerts, and pipeline forecasting.

Limitation: The platform is built for enterprise VoIP and meeting-based sales teams and requires dedicated RevOps support to configure and unlock its full value. It is not designed for mobile-first or high-volume telecalling workflows.

Best for: Large B2B sales organizations with complex deal cycles.

3. Chorus by ZoomInfo: Best for Account-Level Call Intelligence

Chorus connects call recordings to ZoomInfo’s database of 500 million contacts and 100 million companies, giving teams account context alongside conversation data. The platform records calls, tracks objections, competitor mentions, and talk ratios, and auto-logs everything to Salesforce or HubSpot.

Key features: Call recording and transcription, deal risk scoring based on sentiment drops, competitive mention tracking, and CRM auto-logging.

Limitation: Transcription accuracy runs at 80 to 90%, and speaker misattribution in multi-person calls is a recurring complaint across G2, TrustRadius, and Capterra reviews. The platform also has a complex onboarding process that typically takes two to three months for full deployment.

Best for: Revenue teams already using ZoomInfo for prospecting who want call intelligence connected to account data.

4. Clari Copilot: Best for Connecting Call Data to Forecasting

Clari Copilot connects conversation intelligence directly to pipeline forecasting. Managers can see which deals have budget confirmed, executive sponsorship, or objection risk based on what was actually said on calls, not what a rep entered into the CRM.

It also delivers real-time coaching during live calls. When a prospect mentions a competitor or raises a specific objection, a relevant talking point appears on the rep’s screen without interrupting the conversation.

Key features: Real-time battlecard delivery, deal risk detection from conversation patterns, talk time and sentiment tracking, and native Salesforce integration.

Limitation: Works best inside the full Clari ecosystem. As a standalone call analytics AI software , it is more complex than most teams need.

Best for: Mid-market to enterprise B2B teams that want call data tied directly to revenue forecasting.

5. Salesloft Conversations: Best for Teams Running Sales Cadences

Salesloft Conversations ties each recorded call back to the specific cadence step that generated it. Managers can filter by sequence step, deal stage, or outcome to identify where the sales process is breaking down.

Key features: Call recording tied to cadence activity, AI call scoring, moment detection for competitor and pricing mentions, coaching playlists, and CRM sync.

Limitation: Only useful if your team already runs outbound through Salesloft. It is not a standalone AI call analysis tool.

Best for: SDR and AE teams running structured outbound sequences through Salesloft.

6. Avoma: Best for Smaller Teams on a Tighter Budget

Avoma covers call recording, transcription, AI-generated notes, and coaching workflows at a price accessible to smaller teams. It works across Zoom, Google Meet, and phone calls.

Key features: AI-generated meeting notes with action items, talk time and filler word tracking, topic detection, coaching scorecards, and CRM logging to HubSpot and Salesforce.

Limitation: Less depth than Gong or Runo on compliance scoring and custom evaluation criteria. Not built for high-volume telecalling environments.

Best for: Small sales and customer success teams that need solid AI tools for sales call analysis without enterprise pricing.

7. Revenue.io: Best for Real-Time In-Call Coaching

Revenue.io (formerly RingDNA) coaches reps during the call, not after it. The platform listens in real time and surfaces objection-handling prompts, talk-time alerts, and competitor response cards as the conversation unfolds.

Key features: Real-time coaching prompts during live calls, AI call scoring post-call, automated Salesforce logging, talk ratio alerts, and conversation trend reporting.

Limitation: Requires VoIP or softphone calls. Does not apply to SIM-based or mobile calling workflows.

Best for: Inside sales teams on VoIP that want live coaching support alongside post-call analysis.

Which Sales Call Analysis Tool Should You Choose?

If your team makes calls from mobile phones and you need both high connect rates and AI analysis in one platform, Runo is the only tool built for that combination. The SIM-based calling, live dashboard, and fully configurable AI scorecard make it the strongest option for Indian telecalling and sales teams.

For large enterprise B2B VoIP teams, Gong is the most complete option. For conversation data tied directly to deal forecasting, Clari Copilot is worth evaluating. For smaller teams that need solid AI call tracking software without the complexity or cost, Avoma is the most accessible entry point.

The right choice comes down to how your team makes calls, how many agents you manage, and what you plan to do with the analysis once you have it.

FAQs

Do AI call analysis tools work with mobile or SIM-based calls?

Most tools like Gong, Chorus, and Clari are built only for VoIP and web-based meetings. Runo is the exception; it works natively with SIM-based calls and analyzes them the same way.

How is AI call scoring different from manual call auditing?

Manual auditing means a manager listens to a handful of calls per week and scores them subjectively. AI scoring automatically evaluates every call against fixed criteria, talk time, sentiment, filler words, compliance checks, and returns a consistent score out of 100.

Can I set my own scoring criteria, or am I stuck with defaults?

Depends on the tool. Most tools have fixed parameters you cannot change. Runo lets managers write their own evaluation questions, define what counts as a pass or fail, and set scoring weights, so the AI scores calls against your standards, not generic ones.

Also read:

Book a demo with Runo to see the AI call analysis features in action.