The 10 Best AI Tools for Sales Call Summaries in 2027

1. Gong

Gong ranks first because its summaries are deal-aware rather than meeting-aware, tying next steps, objections, and competitor mentions back to the opportunity record in your CRM. Call Spotlight condenses a 45-minute discovery call into a readout a manager scans in under a minute. Natural-language search runs across thousands of recorded conversations. Talk-ratio analytics and deal boards sit on the same ingested call data.

Built for mid-market and enterprise revenue teams running structured sales motions where coaching and forecasting both depend on call content. Pricing is not public, quoted per seat with a platform fee, which puts it in the premium bracket. Clari Copilot below matches the forecast link but adds live in-call guidance; Gong trades that real-time layer for deeper retrospective analysis across call volume. For meeting notes alone, it is overkill.

2. Clari Copilot

Clari Copilot ranks second because it covers the live call and the forecast in one thread, delivering real-time battlecards and cue cards during the conversation, then a structured summary wired into Clari's forecasting engine. It tracks monologue alerts, competitor mentions, and topic timelines. Recaps push into Salesforce automatically. Formerly Wingman, it now sits inside Clari's broader revenue platform.

Best for teams already practicing forecast discipline who want call summaries feeding revenue projections instead of a separate notes app. Pricing is custom and per-seat, same premium bracket as Gong. Against Gong, the trade is breadth of retrospective analysis for the live-coaching layer; pick this one when forecasting accuracy is the real problem behind the summary requirement.

3. Fireflies.ai

Fireflies.ai ranks third on value density: a notetaker bot joins Zoom, Google Meet, and Microsoft Teams calls, transcribes, and returns summaries with action items and a topic outline. The AskFred assistant answers conversational queries across a single call or the entire meeting history. Paid plans run roughly $10 to $19 per user monthly billed annually, with a free tier carrying limited AI credits.

Aimed at smaller sales teams and individual reps who want strong summaries without enterprise contracts. Integrations reach Salesforce, HubSpot, Slack, and Notion. Smart search, soundbite clipping, and conversation analytics come standard. Compared with Clari Copilot above, it gives up forecast linkage and live coaching entirely; what it keeps is searchable recall across every call at a fraction of the seat cost.

4. Otter.ai

Otter.ai ranks fourth for reliability at low friction: OtterPilot auto-joins calls, writes summaries, and extracts action items, while live transcripts and speaker identification stay dependable. The free plan carries monthly transcription limits, Pro runs roughly $8 to $10 per user monthly annually, and Business sits near $20 per user monthly with admin controls and usage analytics. Real-time captions and collaborative highlighting work during the call itself.

Suited to reps and CS teams wanting one notetaker for customer calls and internal meetings alike. CRM depth is the trade — lighter than Gong, Clari, or Fireflies above it. Treat Otter as a strong general meeting tool that handles sales summaries well, not a revenue platform. Its recognition and price floor make it an easy standardization choice.

5. Avoma

Avoma ranks fifth as the coaching middle ground, generating AI notes organized by topic — discovery, pricing, next steps — plus scorecards that a pure notetaker does not offer. Agenda templates structure discovery calls before they happen. Tiers span roughly $19 to $79 per user monthly depending on whether you need basic notes, conversation intelligence, or revenue features. Connections cover Salesforce, HubSpot, Zoom, Meet, and Teams.

For growing sales and customer success teams that have outgrown Otter's lighter CRM sync but cannot justify Gong's platform fee. The trade is scale: analysis depth across thousands of calls stays below the enterprise platforms. Topic-based summarization is the specific reason to choose it over the flat recaps produced one rank above.

6. Fathom

Fathom ranks sixth and takes best value because its free tier is genuinely useful rather than a crippled trial — recording, transcription, summaries, action items, and timestamped highlights cost nothing. Summaries often land seconds after the call ends. Paid plans run roughly $15 to $30 per user monthly, adding CRM sync to Salesforce and HubSpot plus admin controls at team tiers.

Built for individual reps, founders, and lean teams who want accurate recaps without a budget conversation. What it gives up against Avoma above is coaching scorecards and topic-level analytics. One-click sharing of call snippets covers most internal distribution needs. For anyone evaluating this category cold, it is the lowest-commitment place to start testing on real calls.

7. tl;dv

tl;dv ranks seventh for cross-meeting reporting: it records Zoom, Meet, and Teams calls and produces multi-meeting roll-ups, so several conversations with the same account collapse into one report. Broad multi-language transcription support covers distributed teams. A free plan exists, Pro runs roughly $18 to $29 per user monthly, and a Business tier above that adds CRM automation. Clip-and-share distributes customer quotes internally.

Strongest for global teams that value a searchable call library over forecasting depth. Timestamped highlights and questions asked across multiple recordings are the signature features. Against Fathom above, the free tier is less generous and summaries are not as fast; the payoff is cross-call insight Fathom does not attempt at any tier.

8. Zoom AI Companion

Zoom AI Companion ranks eighth on cost structure alone: it is included at no extra charge with most paid Zoom plans, generating a Meeting Summary and next steps automatically, delivered by email and stored in the Zoom web portal. Being native, no recorder bot joins the call. Recap quality has climbed steadily across releases. Nothing new enters the vendor stack.

For teams running every call on Zoom already, this is the zero-friction option. The trade is real: no deal intelligence, no coaching scorecards, no cross-call search, and limited CRM sync compared with tl;dv above. Choose it when summaries are a convenience rather than a pipeline input, and reassess if managers start asking for coaching data.

9. Microsoft Copilot in Teams

Microsoft Copilot in Teams ranks ninth because governance, not sales features, is what it wins on. Intelligent recap produces a summary and action items after a Teams call, and "what did I miss?" queries return answers grounded in the meeting transcript. Recaps flow into the Teams calendar event and stay searchable alongside other Microsoft content. Microsoft 365 Copilot licenses at roughly $30 per user monthly atop an eligible subscription.

For Microsoft-centric enterprises where data residency, compliance, and keeping everything inside the M365 boundary outrank sales-specific capability. It costs more per seat than Zoom AI Companion above while offering no revenue intelligence. The justification is the compliance boundary — verify retention and residency settings before rolling out in regulated environments.

10. Read AI

Read AI ranks tenth as the engagement-analytics pick, layering talk time, participation, and reaction data onto standard recaps and action items. It works across Zoom, Meet, and Teams and pushes highlights into email and chat. A free plan exists, with paid tiers roughly $15 to $30 per user monthly expanding AI usage and integrations. Summaries stay concise and arrive quickly after the call.

Aimed at managers who want a read on meeting dynamics — spotting one-sided discovery calls or low-engagement demos — rather than deeper content extraction. Against Copilot in Teams above, it lacks the M365 compliance boundary but works across every major platform. Content depth and CRM sync both trail the dedicated revenue tools; the sentiment layer is the reason to run it.

How we ranked these

Ten tools were scored on six weighted criteria: summary accuracy against real sales artifacts (next steps, objections, pricing talk, commitments), CRM sync depth into Salesforce and HubSpot, speaker diarization and topic tracking across long discovery calls, meeting-source coverage across Zoom, Meet, Teams and dialers, coaching and cross-call search, and price-to-value at each published tier. Tools producing an action-ready brief outranked tools producing a tidy paraphrase.

Deliberately ignored: transcription word-error-rate benchmarks run on clean studio audio, since real sales calls carry crosstalk, accents and dead air that vendor demos never show. Also set aside were G2 star counts and review volume, which track marketing spend more than summary quality, and roadmap promises of unreleased features. Enterprise pricing quoted privately was noted as non-public rather than estimated, since per-seat figures vary by contract.

Related questions

What is the difference between a meeting notetaker and revenue intelligence?

A notetaker transcribes and summarizes a single conversation. Revenue intelligence links that conversation to an opportunity record, so objections, competitor mentions and next steps roll up into deal risk and forecast signals. Gong and Clari Copilot sit in the second camp; Otter, Fathom and tl;dv sit in the first. Pay for the second only if summaries actually change pipeline decisions.

Do AI call summaries hold up in a compliance audit?

Only with disclosure and retention controls in place. Copilot in Teams keeps transcripts inside the Microsoft 365 boundary, and Gong offers enterprise retention and residency settings. Verify SOC 2 status, where recordings physically live, and how long they persist before a rollout. A summary is derived data; the underlying recording is what auditors and opposing counsel actually request.

How accurate are AI summaries on calls with heavy accents or crosstalk?

Accuracy drops noticeably, which is why vendor demos use clean audio. Diarization degrades first: the tool merges two speakers or attributes a commitment to the wrong person. Run the same recorded call through two free trials and compare outputs before committing. Tools with strong multi-language support, like tl;dv, generally handle non-native English speakers better than US-tuned defaults.

Should call summaries write directly into CRM fields?

Write summaries and next steps automatically; gate structured field updates behind rep review. AI extraction of close dates, budget figures and stage changes is confident but not reliable enough to overwrite forecast-bearing fields unattended. The common pattern is a summary pushed to the activity timeline plus suggested field values a rep accepts. That preserves data hygiene without recreating manual note entry.

Is Zoom AI Companion good enough to skip a dedicated tool?

For a team running every call on Zoom and needing recaps plus next steps, yes. It is included with most paid Zoom plans, adds no bot to the meeting, and its output quality has climbed steadily. What it will not do is cross-call search, coaching scorecards or deal-risk analysis. Teams needing those outgrow it quickly; teams needing notes rarely do.

How do notetaker bots affect call recording consent?

A visible bot joining an external call is a recording event, and two-party-consent states require explicit permission before it starts. Enable automatic recording disclosures and confirm obligations for every jurisdiction your reps dial into. Native options like Zoom AI Companion and Copilot in Teams avoid the awkward third participant, but they still record and still require the same disclosure.

What does talk ratio actually tell a sales manager?

It flags monologues and one-sided discovery, and that is roughly its limit. A rep at seventy percent talk time on a technical demo is fine; the same ratio on a discovery call is a coaching conversation. Treat it as a trigger to listen to the call, never as a standalone performance metric. Read AI and Gong both surface it alongside engagement signals.

Can one tool cover both sales calls and internal meetings?

Yes, and consolidating usually saves money. Otter, Fathom, Read AI and Copilot in Teams handle internal standups and customer calls equally well. The tradeoff is that general-purpose tools have lighter CRM depth. Teams needing deal intelligence often run a revenue platform for customer calls and accept a cheaper second tool, or nothing at all, for internal ones.

FAQ

Which AI tool gives the most accurate sales call summaries?

For deal-relevant accuracy, capturing next steps, objections and commitments, Gong and Clari Copilot lead because their models are tuned specifically for revenue conversations rather than generic meetings. For general meeting accuracy at a fraction of the cost, Otter.ai and Fathom are excellent. Accuracy claims should be tested on your own recorded calls, not on the clean audio used in vendor demonstrations.

What is the best free AI call summary tool?

Fathom has the most generous genuinely free tier: recording, transcription, summaries with action items and timestamped highlights, without a crippled trial window. Fireflies.ai, tl;dv and Read AI also offer free plans with usage caps. Zoom AI Companion is included at no extra cost with most paid Zoom subscriptions, making it effectively free for teams already paying for Zoom.

How much do these tools cost per user?

Otter runs roughly eight to ten dollars per user monthly on Pro and near twenty on Business. Fireflies sits around ten to nineteen. Fathom lands near fifteen to thirty, Read AI similar, tl;dv eighteen to twenty-nine on Pro. Avoma spans nineteen to seventy-nine by tier. Microsoft 365 Copilot is about thirty on top of an eligible subscription. Gong and Clari quote privately.

Do these tools sync summaries to my CRM?

Gong, Clari Copilot, Avoma, Fireflies and Fathom all push summaries and fields into Salesforce and HubSpot, though Fathom gates CRM sync behind its team tiers. Native tools like Zoom AI Companion and Copilot in Teams have noticeably lighter CRM connectivity. If summaries need to land on the opportunity record automatically, verify the specific object and field mapping during the trial.

Do I need a separate recorder bot to join calls?

Zoom AI Companion and Microsoft Copilot in Teams are native to their platforms and add no visible participant. Fireflies, Otter, Fathom, tl;dv and Read AI typically send a notetaker bot into the meeting, though several now offer bot-free desktop capture as an alternative. Bots are more conspicuous on external calls, which matters for prospect experience as much as for compliance.

Are these tools secure enough for regulated industries?

Copilot in Teams keeps meeting data inside the Microsoft 365 boundary, which is often the deciding factor for financial services and healthcare. Gong offers enterprise-grade compliance controls, retention policies and data residency options. Verify SOC 2 Type II attestation, residency, retention windows and subprocessor lists before rolling anything out. Free consumer tiers are generally the wrong choice in regulated environments.

Can I use one tool for sales calls and internal meetings?

Yes, and it is usually the cheaper path. Otter.ai, Fathom, Read AI and Copilot in Teams handle internal meetings well while still producing solid customer-call summaries, consolidating what would otherwise be two subscriptions. The limitation is CRM depth: general-purpose tools rarely push structured deal fields, so revenue teams often pair one of these with a dedicated platform.

Which tool is best for coaching sales reps?

Gong for scale, because it ingests every recorded call, applies consistent analysis and supports natural-language search across thousands of conversations. Clari Copilot adds real-time battlecards during the live call, which shortens the coaching loop considerably. Avoma is the credible middle option, offering scorecards and topic-based analysis for teams that have outgrown a basic notetaker but cannot justify enterprise pricing.

What is deal-aware summarization?

A deal-aware summary ties call content back to the opportunity record rather than treating the conversation as a standalone meeting. Instead of a flat recap, it surfaces identified risks, competitor mentions, pricing discussion and committed next steps linked to a pipeline stage. Gong's Call Spotlight is the clearest example, condensing a long call into a readout a manager scans in under a minute.

How should I evaluate these tools during a trial?

Run the same recorded call, ideally a messy one with crosstalk and a difficult prospect, through two contenders simultaneously and compare summaries side by side. Check whether each caught the actual next step and the pricing objection. Then verify CRM sync writes to the field you expect. Vendor demos use pristine audio and staged conversations, so their output tells you very little.

Sources

• https://www.gong.io/
• https://www.clari.com/products/copilot/
• https://fireflies.ai/
• https://otter.ai/
• https://www.avoma.com/
• https://fathom.video/
• https://tldv.io/
• https://www.zoom.com/en/ai-assistant/
• https://www.microsoft.com/en-us/microsoft-365/copilot
• https://www.read.ai/

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