12 Best AI Meeting Assistants Compared

In short: The best AI meeting assistant depends on the job you need done: Otter, Fireflies, Fathom, tl;dv, and Grain lead for general notes and transcription; Gong and Avoma dominate revenue intelligence; and tools like MeetGrade specialize in scoring calls against a custom QA checklist and turning that into coaching. Most teams pick one notetaker for capture plus one analytics or QA tool for sales, since no single product is best at everything.

"Best" is the wrong question for AI meeting assistants. These tools cluster into three jobs that barely overlap: capturing notes, scoring and coaching sales calls, and analyzing conversations at scale. A free notetaker that's perfect for a solo consultant is useless to a sales manager who needs every rep graded against a discovery checklist. Below are 12 options grouped by what they actually do, with honest trade-offs.

AI notetakers (capture, transcribe, summarize)

These are the default "bot that joins your meeting and emails a summary" tools. They're strong on transcription, summaries, and integrations, and weaker on structured evaluation.

1. Otter.ai

One of the originals, best known for live transcription and a conversational chat you can query about any meeting. Great for note capture; less differentiated on sales analytics than it once was.

2. Fireflies.ai

Transcription-first with broad platform coverage (Zoom, Meet, Teams, Webex) and 50+ integrations, including structured CRM writeback to HubSpot, Salesforce, and Pipedrive. A safe pick when integration breadth and multilingual accuracy matter.

3. Fathom

A generous free tier (unlimited recordings on Zoom), fast post-call summaries, and consistently high user ratings. Often positioned as a budget-friendly entry point for individuals and small teams.

4. tl;dv

Built around timestamped highlights and shareable clips, plus AI search across your whole call library. Good for async sharing with people who skipped the meeting.

5. Grain

Focuses on capturing and sharing meeting moments — customer feedback, competitive mentions, feature requests — into Slack or Notion. Useful for keeping stakeholders aligned without watching full recordings.

6. Read.ai / Krisp

Both add real-time meeting metrics (talk time, sentiment, engagement) and, in Krisp's case, strong noise cancellation. Handy when meeting quality and live signals matter more than deep post-call analysis.

Revenue and conversation intelligence (sales-heavy)

These go beyond notes to analyze deals, pipeline, and rep behavior. They're powerful but priced and built for sales orgs, not general teams.

7. Gong

The category leader for revenue intelligence: deal insights, pipeline risk, and conversation analytics across the whole sales motion. Excellent depth, enterprise pricing, and squarely sales-focused.

8. Avoma

Combines scheduling, recording, notes, CRM sync, coaching scorecards, and a deals dashboard. A strong mid-market option for teams that want capture and coaching in one place.

9. Chorus (ZoomInfo)

Conversation intelligence tied tightly into the ZoomInfo ecosystem and CRM. A natural fit if you already live in ZoomInfo.

QA scoring and coaching specialists

If your real need is "grade every call against our standards and coach reps from the evidence," general notetakers fall short. Two paths exist: configure coaching scorecards inside an Avoma/Gong, or use a dedicated QA tool.

10. MeetGrade

Built specifically for call QA and coaching. It records and transcribes Zoom, Google Meet, and phone calls, then an AI scores each one against your custom checklist — discovery, objection handling, next-step booked, whatever you define — and produces criterion-by-criterion feedback with transcript evidence and AI coaching tips. It also reports conversation/talk metrics and exposes a REST API and webhooks on pay-as-you-go pricing, which suits teams that want to wire scoring into their own workflows. For hiring, it offers evidence-based interview analysis against defined competencies and structured-interview signals — decision support, explicitly not lie-detection or facial-emotion reading. It's narrower than a full revenue-intelligence suite, but that focus is the point if QA consistency is your goal.

11. Avoma (coaching mode)

Worth a second mention: its coaching scorecards evaluate reps against custom criteria like discovery quality and objection handling, bundled with its notetaking. Convenient if you want one vendor.

12. Salesloft / Outreach conversation add-ons

If your team already runs a sales-engagement platform, its built-in conversation module may cover light coaching without another subscription — fewer features, but zero extra integration work.

How to choose

Just need clean notes? Fathom, Fireflies, or Otter — pick on free tier, integrations, and accuracy.
Async sharing across teams? tl;dv or Grain for clips and highlights.
Full revenue intelligence with budget? Gong, or Avoma for mid-market.
Consistent QA against your own checklist plus coaching? A specialist like MeetGrade, or coaching scorecards inside Avoma.
Building automation? Prioritize real API and webhook access, not just CRM connectors.

Check three practical things before committing: does it support your meeting platforms (and phone, if you do sales calls), does it write to your CRM or expose an API, and does its data handling meet your privacy requirements.

Most teams end up with two tools — a notetaker for everyone and an analytics or QA layer for sales — rather than forcing one product to do everything. If structured call scoring and coaching are what you're really after, it's worth trialing a focused tool like MeetGrade against your actual checklist before defaulting to a general notetaker.

Frequently asked questions

What is the best AI meeting assistant overall?

There's no single best one — it depends on the job. For general note-taking, Fathom, Fireflies, and Otter are top picks. For revenue intelligence, Gong and Avoma lead. For scoring calls against a custom QA checklist and coaching reps, a specialist like MeetGrade fits better than a general notetaker. Match the tool to your primary use case rather than chasing one winner.

What's the difference between an AI notetaker and a call QA tool?

An AI notetaker (Otter, Fireflies, Fathom) captures, transcribes, and summarizes meetings so you don't have to take notes. A call QA tool like MeetGrade goes further: it grades each call against a checklist you define, scores specific criteria such as discovery or objection handling, and generates coaching feedback with transcript evidence. Notetakers tell you what was said; QA tools tell you how well it was done.

Can AI meeting assistants analyze phone calls and not just video meetings?

Many focus on Zoom, Google Meet, and Teams video calls only. If you run outbound or inbound phone sales, check explicitly for phone-call support. MeetGrade, for example, records and analyzes phone calls alongside Zoom and Google Meet, which matters for sales teams whose conversations don't all happen on video.

Are AI meeting assistants reliable for evaluating job interviews?

They can support hiring decisions but should not replace human judgment. The credible approach is evidence-based analysis: scoring interviews against defined competencies and structured-interview signals, which is what MeetGrade does. Be skeptical of any tool claiming to detect lies or read emotions from faces — that is not scientifically reliable and MeetGrade explicitly does not do it.

Should I use one AI meeting assistant or several?

Most teams use two: a lightweight notetaker for everyone's meetings, plus a sales-focused analytics or QA tool for the revenue team. Trying to make a single product cover note-taking, deal intelligence, and structured QA usually means compromising on at least one. Pick based on your top two needs and check that the tools share data via CRM sync or an API.