You spend hours each week on sales calls, standups, and client check-ins. The details that matter most slip away the moment the meeting ends. You need a platform that captures every word, finds the insights buried inside, and pushes them into the tools your team already uses.
Fireflies.ai is an AI meeting assistant that transcribes, summarizes, searches, and analyzes voice conversations across every major conferencing tool.
It records meetings on Zoom, Google Meet, Microsoft Teams, and Webex, transcribes them in 100+ languages with over 95% accuracy, generates AI summaries and action items, and layers conversation analytics on top. This breakdown covers every feature, how it works, who it serves, and which plan unlocks it.
Fireflies.ai's feature set has you covered if:
You need automatic transcription and AI summaries for every meeting without manual note-taking
You want a searchable archive of past conversations where you can find exactly what was said and when
You run a sales team that needs talk-to-listen ratios, sentiment tracking, and topic monitoring across calls
You want real-time coaching and contextual answers during live meetings, not just post-call documentation
You need meeting intelligence pushed into your CRM, project management tools, or collaboration apps automatically
You want API access to meeting data for custom workflows or AI-native integrations via MCP
You'll reach the edges of its capabilities if:
You need a B2B contact and company database to identify who you should be meeting with in the first place
You want buyer intent signals showing which companies are researching your category before you ever speak with them
You need to identify anonymous website visitors and connect them to verified business contacts
You want multi-channel sales execution, outreach sequencing, or pipeline orchestration beyond meeting capture
You need account-based marketing, display advertising, or campaign management alongside conversation intelligence
For those needs, the reference point is ZoomInfo: an AI GTM platform built on 500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business email addresses, a GTM Context Graph that processes 1.5B+ data points daily by combining B2B data with CRM records, conversation intelligence, and behavioral signals into a single intelligence layer, and access through APIs, MCP, GTM Workspace, and GTM Studio.
After the feature breakdown, this article covers where Fireflies.ai stops and how ZoomInfo fills those gaps.
Fireflies.ai Platform Overview
Fireflies.ai targets anyone whose work runs on meetings: sales teams, recruiters, product and user researchers, marketers, engineers, and leadership across organizations from startups to the Fortune 500.
The platform reports 20+ million users across 500,000+ organizations and has processed over 2 billion meeting minutes. On G2, Fireflies holds a 4.7/5 rating with badges including Leader in AI Meeting Assistants and Fastest Implementation.
The platform is organized around five capability areas:
Capability | What It Does | Plan Availability |
|---|---|---|
Multi-platform meeting capture, 100+ language transcription, speaker recognition | All plans (storage varies) | |
Natural language Q&A across meetings, custom summary templates, cross-meeting analysis | All plans (AI credits vary) | |
Talk-to-listen ratios, sentiment analysis, topic trackers, team analytics | Business and Enterprise | |
Real-time suggestions, coaching, and contextual answers during meetings | All plans (AI credits vary) | |
200+ pre-built automation templates, CRM/PM sync, API, MCP server, Rules Engine | All plans (Rules Engine: Enterprise) |
Fireflies operates on a per-seat subscription across four tiers: Free ($0), Pro ($10/seat/month billed annually), Business ($19/seat/month annually), and Enterprise ($39/seat/month annually). Each tier includes a monthly allocation of AI credits (20, 30, 30, and 50 respectively) that power advanced AI features. Here is the full tour.
Fireflies.ai Transcription and Recording
Transcription is the foundation everything else rests on. Fireflies captures audio from six sources, transcribes it with over 95% accuracy in 100+ languages, identifies speakers, and produces timestamped transcripts that feed every downstream feature.
The most common capture method is the AI notetaker bot. You invite fred@fireflies.ai to a meeting or configure auto-join rules that send the bot based on criteria you set: internal-only, external-only, or meetings with specific teammates.
The bot joins as a participant on Zoom, Google Meet, Microsoft Teams, Webex, and 10+ other video conferencing platforms, plus dialers like Aircall and RingCentral. One tradeoff: every participant sees "Fireflies Notetaker" in the attendee list, which some users find intrusive.
The Chrome extension solves that visibility problem for Google Meet. It captures calls directly in the browser with real-time transcription and operates without a bot in the meeting. A desktop application (Mac and Windows) records in-person meetings and system audio, detecting and capturing meetings across platforms automatically.
Source: Fireflies.ai
A mobile app handles on-location recording. For pre-recorded content, you can upload audio and video files in MP3, M4A, WAV, and MP4 formats for processing.
Once audio is captured, Fireflies' speech recognition engine generates speaker-labeled transcripts with timestamps. Google Meet and Zoom provide accurate speaker labels with participant names, while other platforms label speakers as Speaker 1, Speaker 2.
Source: Fireflies.ai
You can edit speaker labels after transcription to correct misattributions. The system also generates customizable AI summaries with industry-specific templates from 100+ options, extracting key topics, action items, and conversation highlights automatically.
Storage limits are the main tier differentiator for this capability:
Free: 800 minutes per seat, 2-hour max recording length
Pro: 8,000 minutes per seat, 2-hour max
Business: Unlimited storage, 3-hour max
Enterprise: Unlimited storage, 4-hour max
One accuracy caveat: while Fireflies claims 95% accuracy, independent testing found accuracy closer to 78.9% with non-native English speakers, and in meetings with cross-talk or overlapping dialogue, the system sometimes merges speaker lines. For clean audio with native speakers, the accuracy holds. Noisy or multilingual environments produce weaker results.
Fireflies.ai AI Summaries and Search with AskFred
Once a meeting is transcribed, the next question is what you can extract from it without replaying the entire recording. That is AskFred's job.
AskFred is the AI assistant built on top of your meeting transcripts. You ask natural language questions in a conversational thread ("What were the main discussion points?", "What action items were assigned to Sarah?", "What pricing did the client mention?") and receive answers drawn from the transcript, with timestamps.
Source: Fireflies.ai
Follow-up questions in the same thread keep context, so you can drill into specifics without restating scope.
AskFred goes beyond single-meeting retrieval. It supports cross-meeting analysis through filters for date ranges, participant email addresses, and other criteria. A question like "How has customer sentiment about our onboarding changed over the last quarter?" searches across all qualifying conversations and returns an aggregated answer.
The platform also handles content generation from meeting data: you can extract key details or generate follow-ups, tweets, or summaries from what was discussed.
AskFred consumes AI credits per query. Monthly allocations are:
Free: 20 AI credits
Pro: 30 AI credits
Business: 30 AI credits
Enterprise: 50 AI credits
Credits do not roll over and carry no cash value. Teams that rely on AskFred for cross-meeting research should watch consumption closely. The credit system has confused users, with multiple reports of unexpected costs when features require additional credit purchases.
The broader search layer beneath AskFred makes the entire meeting archive searchable by exact phrase, topic, or keyword. You can locate what was said about a specific feature request, a pricing objection, or a candidate's qualifications across months of conversations and jump to the exact timestamp.
Fireflies.ai Conversation Intelligence
Conversation intelligence turns raw transcripts into quantitative data that managers and team leads use for coaching, performance tracking, and pattern recognition. This capability is available on Business and Enterprise plans.
Source: Fireflies.ai
At the individual meeting level, Fireflies analyzes every speaker's participation: total speaking time, word count, speaking rate in words per minute, longest monologue duration, and total monologue count. These metrics surface imbalances immediately. A discovery call where the rep spoke 80% of the time tells a coaching story no summary can capture.
Sentiment analysis calculates the percentage distribution of positive, neutral, and negative sentiment throughout the conversation. For sales teams, sentiment shifts during pricing discussions or competitive comparisons are the signals worth watching.
Custom topic trackers let administrators define keywords or phrases the system monitors across all meetings. A sales team might track competitor mentions, objection patterns, or specific product features. A recruiting team might track compensation discussions or candidate concerns. The trackers run automatically on every eligible meeting and feed into the aggregate analytics view.
Question tracking counts the questions asked by each participant, both at the individual meeting level and in aggregate. For sales organizations, this metric measures discovery depth directly: are reps asking enough questions to qualify opportunities, or are they pitching before they understand the problem?
The team-level view aggregates these metrics across meetings within a set period, calculating averages for talk-to-listen ratios, silence duration, filler word usage, questions asked, and monologue patterns.
Period-over-period comparisons show percentage changes, so a manager can see whether a team's discovery question count improved after coaching without reviewing recordings. Individual performance tracking breaks these metrics down per team member, with the same period-over-period comparisons, letting managers identify who is improving and who needs attention.
Fireflies.ai Live Assist
Most meeting tools react after the conversation ends. Live Assist, launched November 13, 2025, reacts during it.
Source: Fireflies.ai
Live Assist operates across three meeting phases.
Before the meeting, it surfaces prospect information, company details, and preparation materials from previous conversations.
During the meeting, it delivers real-time note generation, live transcription with speaker identification, and instant suggestions. The "Ask Fred" function lets you query the AI mid-call without breaking the conversation. A sales rep facing an objection about pricing can pull up what was discussed on the last call in seconds. A recruiter can surface candidate details from a screening call while conducting the panel interview.
After the meeting, Live Assist generates instant summaries for immediate distribution, removing the wait for post-call processing.
The feature is powered by a partnership with Perplexity for real-time web search. The "Talk to Fireflies" capability lets users interact with the AI during meetings using voice ("Hey Fireflies!") or text ("/ff") commands in over 60 languages. It can pull in external information, not just meeting history, which helps when a prospect references a competitor or a market trend you need context on immediately.
Source: Fireflies.ai
Live Assist works across browser-based meetings, the desktop app, the Chrome extension (for Google Meet), and the mobile app. It supports Zoom, Microsoft Teams, Webex, and Google Meet.
The feature creates structured notes with headings, timestamps, and bullet points as people talk and offers four default suggestion buttons that generate mid-meeting summaries without waiting for post-call processing.
Live Assist consumes AI credits based on usage. It is available to all users including free tier customers, though credit limits on lower tiers constrain how often it can be used.
Fireflies.ai AI Skills, Integrations, and Developer Platform
Recording and analyzing meetings is one half of the value. The other half is getting that intelligence into the systems where work happens. Fireflies addresses this through its AI Skills framework, native integrations, and a developer platform.
AI Skills are pre-built automation templates that extract domain-specific information from transcripts. The Skills Store contains 200+ templates organized across nine verticals: Sales, Recruiting, Marketing, User Research, Engineering, Finance, Healthcare, Media & Podcasting, and Venture Capital.
Source: Fireflies.ai
A recruiter running phone screens can automatically generate candidate scorecards with ratings per dimension. A sales rep can extract deal signals, competitive mentions, and next steps without reviewing the transcript. A VC can pull market size estimates and competitive positioning from founder calls. Once activated, skills run automatically on eligible meetings.
The native integration ecosystem spans 100+ apps. CRM integrations with Salesforce, HubSpot, Pipedrive, Zoho CRM, Close, Copper, Freshsales, and Microsoft Dynamics 365 push meeting notes, call logs, and custom fields into contact and opportunity records.
Project management integrations with Asana, Trello, ClickUp, Jira, Monday.com, and Linear create tasks from action items automatically. Collaboration tools like Slack, Notion, Confluence, and Google Docs receive meeting summaries and notes. Applicant tracking systems including Greenhouse, Lever, Ashby, Workable, and Gem ATS connect interview intelligence to the hiring pipeline.
For developers, Fireflies provides a GraphQL API with a single endpoint at https://api.fireflies.ai/graphql. API access is available on all plan tiers, including the Free plan, though rate limits differ:
Free: 50 requests per day
Pro: 500 requests per day
Business/Enterprise: 60 requests per minute
Source: Fireflies.ai
The API supports uploading audio for transcription, retrieving transcripts and summaries, querying analytics, managing soundbites, and starting or continuing AskFred threads programmatically.
Webhooks V2 supports three events (meeting.transcribed, meeting.summarized, meeting.bot_joined) with HMAC-SHA256 signature verification for payload integrity. Zapier, n8n, and Make are all supported for custom workflow automation.
The Fireflies MCP Server connects meeting intelligence to AI coding assistants and LLM-based tools like Claude, Devin, and ChatGPT. It provides eight read-only tools for searching transcripts, retrieving summaries, analyzing team activity, and accessing contact history through natural language queries in the developer's existing environment.
The Rules Engine (Enterprise only) adds conditional automation: meetings containing specific keywords can be routed to designated Slack channels, tagged for review, or processed with specific AI Skills based on content triggers, participant roles, or extracted entities.
The platform also includes a Voice Agents capability on Pro tier and above, and a Developer Program that provides three months of free Business tier access to approved applicants building integrations.
Fireflies.ai Security and Compliance
Fireflies maintains SOC 2 Type II certification, GDPR compliance, and HIPAA compliance with Business Associate Agreements available on the Enterprise tier. Data protection includes 256-bit AES encryption for meeting notes and transcripts at rest and TLS encryption for data in transit.
Enterprise plans unlock private, dedicated cloud storage, custom data retention policies, a super admin role, SSO via Okta, OneLogin, JumpCloud, Azure AD, and Google Workspace (all through SAML), and SCIM provisioning for automated user management.
The platform enforces a zero-day data retention policy ensuring meeting data is never used for model training. A Trust Center is available at trust.fireflies.ai, and development practices follow OWASP alignment with a bug bounty program.
Source: Fireflies.ai
The transcript-and-summary-only mode on Enterprise restricts what the platform stores, giving organizations that handle sensitive conversations more control over their data footprint.
Where Fireflies.ai Stops: The Gaps
Fireflies.ai does one job well: capturing, transcribing, analyzing, and distributing meeting intelligence. That focus makes it strong within its scope, but it also means the platform does not extend into several capabilities that meeting-heavy revenue teams eventually need.
No B2B contact or company database. Fireflies records and analyzes the meetings you already have. It does not help you find the people you should be meeting with. There is no contact database, no company intelligence, no org chart data, and no way to discover new prospects. The platform starts after the meeting is booked.
No buyer intent signals. Fireflies captures what happens during your conversations, but it does not track which companies are researching your category across the web before you speak with them. Engagement signals from your own meetings tell you who is responding; intent signals tell you who is in-market before you reach out.
No website visitor identification. Fireflies has no pixel, no reverse IP lookup, and no mechanism for identifying anonymous website visitors. Teams that want to connect web traffic to pipeline need a separate tool.
No outreach or sales execution capabilities. Fireflies does not sequence emails, make calls, manage cadences, or run multi-channel outreach. It integrates with tools that do (via CRM and Slack integrations), but the platform itself stops at intelligence. It captures what happened on the call; it does not help you generate the next call.
No marketing orchestration or ABM. Fireflies does not include display advertising, audience management, account-based marketing, or campaign orchestration. Marketing teams using conversation intelligence to inform campaigns need a separate platform for execution.
AI credits create usage ceilings. The credit system (20 to 50 credits per month depending on tier) gates access to AskFred, Live Assist, and other AI features. Credits do not roll over, and teams with heavy AI usage can hit limits mid-cycle.
The auto-upgrade feature, enabled by default, charges the prorated difference to a higher tier when credit usage exceeds plan limits, which has caused unexpected billing for some users.
How ZoomInfo Covers the Gaps
The gaps above share a common thread: Fireflies.ai captures intelligence from conversations already happening, but does not help teams find the right conversations to have, identify who is in-market, or act on the signals it surfaces. ZoomInfo is an AI GTM platform that supplies those upstream and downstream layers.
ZoomInfo's B2B Data Platform: The contact and company intelligence Fireflies.ai does not include
ZoomInfo operates the largest B2B data platform in the industry: 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses. The data flows through a verification pipeline backed by 300+ human researchers and automated ML scanning 28 million site domains daily, reaching up to 95% accuracy on first-party data.
Source: ZoomInfo
Where Fireflies captures what your contacts say during meetings, ZoomInfo identifies who those contacts should be. It delivers department org charts with decision-makers' direct dials and emails, 300+ company attributes for market segmentation, contact tracking with job-change alerts, and technographic profiles covering 30,000+ technologies across 200+ categories for 30+ million companies.
Source: ZoomInfo
Global coverage extends to 34M+ company profiles outside North America and 200M+ professional profiles outside NA.
In a Fortune 500 competitive RFP analyzing 25 million contacts across vendors, an independent consultant concluded that "no other competitor came even close."
ZoomInfo Intent and WebSights: Identifying who is in-market before any meeting happens
ZoomInfo Intent tracks signals from 210 million IP-to-Organization pairings and 6 trillion+ new keyword-to-device pairings sourced monthly. This reveals which companies are researching topics related to your product across the web, before you have spoken with them. Guided Intent, exclusive to ZoomInfo, identifies the topics historically correlated with deal success rather than requiring manual topic selection.
Source: ZoomInfo
On the website side, WebSights resolves anonymous website traffic to companies with Automatic Traffic Filtering that distinguishes real visitors from bots. ZoomInfo Marketing goes further with contact-level site visitor identification, identifying who visited (not just which company) and triggering personalized outreach.
Source: ZoomInfo
Fireflies tells you what happened during a conversation. ZoomInfo Intent tells you which conversations are worth having before you pick up the phone.
ZoomInfo's GTM Context Graph and Chorus: Conversation intelligence fused with account context
Fireflies captures meeting audio and generates analytics from the conversation itself. ZoomInfo's GTM Context Graph takes a different approach: it processes 1.5B+ data points daily, combining ZoomInfo's B2B data with a customer's CRM records, conversation intelligence from Chorus (backed by 14 technology patents), email interactions, and behavioral signals into a single intelligence layer.
Source: ZoomInfo
Chorus records and transcribes sales calls, surfaces AI-generated insights (talk ratios, sentiment, objection detection), auto-syncs deal intelligence to the CRM, and provides coaching scorecards and clip sharing. Where Fireflies' conversation intelligence stands alone, Chorus feeds into a graph that connects all data sources to explain why deals move or stall.
Source: ZoomInfo
The CFO joining a late-stage call and asking ROI-focused questions is not just a transcript event; the GTM Context Graph connects that signal to patterns across closed-won deals in the same segment, links it to third-party data showing the company is hiring and researching a competitor, and surfaces what to do next.
ZoomInfo GTM Workspace and GTM Studio: Execution layers for the intelligence Fireflies surfaces
GTM Workspace is ZoomInfo's seller front-end, built on the GTM Context Graph. It provides a complete Book of Business view across CRM, ZoomInfo data, conversation history, and market intelligence, with AI agents automating account research, outreach, CRM updates, and signal monitoring. An Action Feed streams in-market buyers matched to target criteria with pre-drafted actions on every signal.
Source: ZoomInfo
GTM Studio addresses the marketing orchestration gap directly. Marketers, RevOps teams, and GTM engineers can build audiences using natural language, enrich with first- and third-party data, define triggers, and activate plays across channels without engineering support.
Source: ZoomInfo
Pre-built GTM plays cover inbound acceleration, champion tracking, competitive displacement, and ICP targeting. Expansion plays that used to take 3 weeks now launch in 30 minutes.
ZoomInfo APIs and MCP: The same intelligence accessible in any tool or AI agent
ZoomInfo delivers its intelligence through APIs and MCP, so the same data and GTM Context Graph powering ZoomInfo's own products is accessible inside any third-party tool or custom AI agent. The MCP server connects AI models to ZoomInfo's B2B data as a native tool, currently supporting Claude and ChatGPT.
Source: ZoomInfo
API access is included in all relevant plans, and the Enterprise API covers Search, Enrich, Copilot (AI intelligence), Marketing (audience management), and Engagements endpoints.
Source: ZoomInfo
ZoomInfo's Free Entry Points: A way to explore the platform before any commitment
ZoomInfo Lite is a permanent free tier with access to ZoomInfo's B2B database, 10 monthly export credits, individual and company searches, a Chrome extension, and WebSights Lite with up to 10 website visitor reveals per day. A separate 7-day free trial provides broader access with no credit card required.
Source: ZoomInfo
Seismic's sales team attributed 39% of active pipeline to opportunities identified or influenced by ZoomInfo signals, boosted productivity by 54%, and saved 11.5 hours per week per seller. (Seismic Case Study)
Final Summary
Fireflies.ai is a thorough meeting intelligence platform: 100+ language transcription with over 95% accuracy, AI summaries and search across your entire conversation archive, conversation analytics with team-level benchmarking, real-time coaching through Live Assist, and 200+ AI Skills pushing meeting insights into CRMs, project management tools, and collaboration platforms.
It covers the meeting lifecycle from recording through analysis and distribution, with API access on every tier and an MCP server connecting meeting data to AI development tools.
It does not cover the layers around meetings: no B2B database, no buyer intent signals, no website visitor identification, no outreach execution, and no marketing orchestration.
If your bottleneck is upstream of the meeting (knowing which accounts are in-market and who the right contacts are) or downstream (executing multi-channel outreach on the signals your meetings surface), that is the ground ZoomInfo covers.
Its 500M-contact, 100M-company database identifies the buyers worth meeting with. ZoomInfo Intent surfaces accounts researching your category from 6 trillion+ keyword-to-device pairings monthly. Chorus captures conversation intelligence and feeds it into the GTM Context Graph, which combines all of it to explain why deals move, not just that they moved.
And GTM Studio gives marketing teams multi-channel orchestration and ABM capabilities that meeting tools do not include. Fireflies captures what happens in your meetings. ZoomInfo helps you fill the room with the right people and act on what you learn.
See what that intelligence layer adds to your meeting workflow: start with ZoomInfo Lite for free, or request a demo to see verified contacts and intent signals flow into your pipeline.
FAQ
Does Fireflies.ai support transcription in languages other than English?
Fireflies supports transcription in over 100 languages and dialects. However, the platform's interface remains English-only, which users have flagged as a limitation for global teams. There is no automatic language detection; you set a default language or specify it per meeting. Transcription accuracy also drops with non-native English speakers and in multilingual environments.
Which Fireflies.ai plan includes conversation intelligence?
Conversation intelligence (talk-to-listen ratios, sentiment analysis, custom topic trackers, and team analytics) requires the Business plan ($19/seat/month annually) or Enterprise ($39/seat/month annually). The Free and Pro plans include transcription, AI summaries, and basic analytics but do not unlock the full conversation intelligence suite.
Can Fireflies.ai record meetings without a visible bot?
Yes, through two methods. The Chrome extension captures Google Meet calls directly in the browser without a bot. The desktop app records system audio and in-person meetings without joining as a participant. For Zoom, Microsoft Teams, and Webex, the standard method still uses a visible bot that joins as an attendee.
How do Fireflies.ai's AI credits work?
Each plan includes a monthly allocation: 20 credits (Free), 30 credits (Pro and Business), or 50 credits (Enterprise). AI credits are consumed by advanced features including AskFred queries, Live Assist, and certain AI Skills.
Credits do not roll over between billing periods. If usage exceeds the allocation, the auto-upgrade feature (enabled by default) charges the prorated difference to the next tier. You can disable this through account settings.
Does Fireflies.ai integrate with CRMs?
Fireflies has native integrations with Salesforce, HubSpot, Pipedrive, Zoho CRM, Close, Copper, Freshsales, Microsoft Dynamics 365, and several others. These integrations push meeting notes, call logs, and AI-extracted insights into contact and opportunity records. Zapier, Make, and n8n are also supported for custom CRM workflows not covered by native integrations.
Can Fireflies.ai identify website visitors or provide buyer intent data?
No. Fireflies is a meeting intelligence platform with no website tracking pixel, no reverse IP lookup, and no buyer intent signal collection. It analyzes conversations you already have but does not identify who is visiting your website or researching your category.
ZoomInfo's WebSights identifies anonymous website visitors at the company and contact level, while ZoomInfo Intent tracks in-market accounts from 210 million IP-to-Organization pairings and 6 trillion+ keyword-to-device pairings monthly.
What is Fireflies.ai's MCP server?
The Fireflies MCP Server connects meeting intelligence to MCP-compatible AI tools like Claude, Devin, and ChatGPT. It provides eight read-only tools for searching transcripts, retrieving summaries, analyzing team activity, and accessing contact history through natural language queries. Developers can query meeting data within their development environment without building custom API integrations.
Does Fireflies.ai include a B2B contact database for prospecting?
No. Fireflies captures and analyzes conversations but does not include a database of contacts, companies, phone numbers, or email addresses. It starts after the meeting is booked, not before. Teams that need to identify and reach prospects before conversations happen pair their meeting intelligence with a data platform.
ZoomInfo's database of 500M contacts, 100M companies, and 120M direct dials supplies the contact intelligence upstream of any meeting.
