Fireflies.ai alternatives: Gong, Otter.ai, and Avoma

Alternatives compared with Fireflies.ai

1. 

   Gong compared with Fireflies.ai

   Verdict: Choose Gong when the program is owned by revenue leadership and must connect customer interactions to engagement, forecasting, enablement, pipeline action, and account or deal intelligence. Keep Fireflies.ai when the primary job is accessible meeting capture and automation with public subscription tiers and a more granular meeting-data developer surface.

   Choose Gong when

   • A CRO, RevOps, sales enablement, or sales leadership team is buying a shared revenue operating system rather than a general meeting assistant.
   • Forecasting, sales engagement, rep enablement, and deal inspection must use the same interaction data.
   • The organization accepts a sales-led commercial process and can provision technical-admin access for API and MCP integrations.
   • Gong extends beyond conversation records into named applications for engagement, forecasting, enablement, and automated revenue work.[6]
   • Its account and deal MCP tools are shaped around revenue review questions rather than raw transcript management.[9]

   Keep Fireflies.ai when

   • Fireflies.ai offers a simpler commercial entry for teams that need meeting capture, summaries, search, and automation without adopting a wider revenue platform.
   • Its GraphQL and MCP documentation exposes more direct meeting-level retrieval and management operations for a custom workflow.

   Limitations to account for

   • Gong does not list a public subscription amount on its pricing page. It prices licenses per user, adds a platform fee based on supported users, and asks buyers to request a customized proposal.[10]
   • Gong's MCP server is read-only, returns synthesized insights instead of raw transcripts, excludes private calls, and requires a manually created OAuth client.[9]

   Gong compared with Fireflies.ai

   Criterion	Fireflies.ai	Gong	What it means
   Operating scope	Fireflies.ai centers on capturing meetings, producing summaries and action items, searching past conversations, analyzing talk patterns, and moving notes into work tools.[1]	Gong presents Engage, Forecast, Enable, Agents, and Revenue Graph as parts of a Revenue AI OS built on customer-interaction data.[6]	Fireflies.ai fits a meeting-operations purchase. Gong fits a larger revenue-transformation purchase in which calls and emails feed sales execution and management decisions.
   Commercial entry	Fireflies.ai publishes a Free tier plus annual Pro at $10 per seat per month, Business at $19, and Enterprise at $39, with month-to-month options shown for Pro and Business.[5]	Gong publishes its pricing structure as per-user licenses plus a user-scaled platform fee, but provides the actual proposal after a buyer submits the sales form.[10]	Fireflies.ai supports an earlier budget estimate from public information. Gong requires proposal data before a buyer can compare total commercial cost.
   API integration	Fireflies.ai documents bearer-token authorization against a shared GraphQL endpoint and supplies queries and mutations for meeting data and actions.[2][3]	Gong documents a REST API for calls, users, activity statistics, settings, libraries, call uploads, privacy operations, and CRM imports. Access uses Basic Auth or OAuth, and each company receives its own base URL.[7][8]	The decision is not API versus no API. It is a meeting-centric GraphQL model versus a broader revenue-data REST surface with company-specific provisioning.
   MCP behavior	Fireflies.ai documents MCP tools that retrieve transcripts, summaries, analytics, channels, and soundbites and can also share meetings, revoke access, rename meetings, move meetings, and create soundbites.[4]	Gong's MCP server exposes ask_account, ask_deal, and generate_brief. These tools synthesize account or deal insights from calls and emails but do not return raw activity data or write back to Gong or the CRM.[9]	Fireflies.ai fits an assistant that must work directly with meeting artifacts. Gong fits an assistant that must answer revenue-review questions without exposing raw interactions.

2. 

   Otter.ai compared with Fireflies.ai

   Verdict: Choose Otter.ai when real-time transcription, searchable meeting knowledge, and connected note workflows are the central requirements. Keep Fireflies.ai when the buyer also needs documented conversation analytics, a published GraphQL integration path, and granular MCP operations across meetings, summaries, analytics, channels, and soundbites.

   Choose Otter.ai when

   • Individuals or teams want live notes, summaries, action items, and AI Chat across meetings with a straightforward free entry.
   • Meeting knowledge should flow into Slack, Salesforce, HubSpot, Jira, Notion, Asana, or another connected work application.
   • A desktop recording path is useful alongside bots that join Zoom, Microsoft Teams, or Google Meet.
   • Otter.ai keeps its buyer story tightly focused on live meeting capture, meeting knowledge, AI Chat, and downstream work-app automation.[11][12]
   • Its free plan can test the core transcription and MCP-assisted knowledge workflow before a paid commitment.[12]

   Keep Fireflies.ai when

   • Fireflies.ai is the more explicit choice for teams building their own meeting-data workflow because its official material documents both GraphQL authorization and individual MCP tools.[3][4]
   • Fireflies.ai exposes conversation intelligence and team analytics in its Business tier, which can reduce the need for a separate call-analysis layer.[5]

   Limitations to account for

   • Otter.ai's Basic plan includes 300 monthly transcription minutes and a maximum of 30 minutes per conversation. Pro raises those limits to 1,200 minutes and 90 minutes per conversation.[12]
   • Otter.ai includes Custom AI workflows on Business. Enterprise increases this to Unlimited custom AI workflows and adds custom integrations, SSO, SCIM, and a HIPAA compliance add-on.[12]

   Otter.ai compared with Fireflies.ai

   Criterion	Fireflies.ai	Otter.ai	What it means
   Meeting capture	Fireflies.ai can join calendar meetings as a bot, record Google Meet through a Chrome extension, capture in-person conversations through mobile, use a desktop app, and process uploaded audio or video files.[1]	Otter.ai provides automatic real-time transcription for Zoom, Microsoft Teams, and Google Meet, plus Mac and Windows desktop apps and mobile applications.[11][12]	Both cover common virtual-meeting workflows. Evaluate the exact capture method your users will tolerate rather than treating either product as bot-only.
   Meeting knowledge and analysis	Fireflies.ai combines meeting search and AskFred with talk-time, sentiment, topic tracking, and team conversation analytics.[1][5]	Otter.ai combines AI Chat within and across meetings with summaries, key takeaways, action items, advanced search, and AI meeting workflows.[11][12]	Choose Otter.ai for a notes-and-knowledge center. Keep Fireflies.ai when participation and conversation-pattern analysis is part of the expected output.
   Published plan capacity	Fireflies.ai lists 400 minutes of team storage on Free, 8,000 minutes of storage per seat on Pro, and unlimited storage on Business and Enterprise.[5]	Otter.ai lists 300 monthly transcription minutes on Basic, 1,200 on Pro, and unlimited meeting and recording transcription on Business and Enterprise, with separate per-conversation limits.[12]	The two meters are not directly equivalent. Build the cost model from meeting volume, recording length, import needs, and storage behavior instead of comparing the free-plan numbers as if they measured the same thing.
   Automation and developer path	Fireflies.ai publishes bearer-token GraphQL documentation and a named MCP tool catalog for meeting search, retrieval, analytics, sharing, access, channels, and soundbites.[3][4]	Otter.ai advertises connections to tools including Slack, Zoom, Salesforce, Claude, Google Drive, HubSpot, Jira, Notion, Asana, and Glean. Its pricing page also includes the Otter MCP server on Basic.[11][12]	Otter.ai is compelling when native app connections cover the workflow. Fireflies.ai supplies a clearer public contract when engineers must compose custom meeting-data operations.

3. 

   Avoma compared with Fireflies.ai

   Verdict: Choose Avoma when the sales workflow should join meeting assistance, scheduling, lead routing, coaching, deal risk, forecasting, and MCP write actions. Keep Fireflies.ai when the team wants a broader cross-functional meeting assistant, a lower-cost published paid entry, and a documented GraphQL surface without assembling several sales-intelligence add-ons.

   Choose Avoma when

   • Sales is the primary user group and scheduling, call coaching, and revenue intelligence belong in the same buying project.
   • An AI assistant should be able to classify meeting purpose, outcome, or privacy through MCP instead of only reading records.
   • The buyer can evaluate base recorder seats and intelligence add-ons separately and still prefers one vendor for the combined workflow.
   • Avoma unifies pre-meeting scheduling and routing with post-meeting coaching, pipeline analysis, and forecasting.[14][18]
   • Its MCP connector supports three concrete write operations as well as meeting-data retrieval.[17]

   Keep Fireflies.ai when

   • Fireflies.ai has a simpler meeting-first product shape for teams outside revenue and for buyers who do not need routing or forecasting.
   • Its official developer documentation states the authentication method, endpoint, and granular meeting operations, reducing ambiguity for an integration evaluation.[3][4]

   Limitations to account for

   • Avoma sells Conversation Intelligence and Revenue Intelligence as add-ons at $29 per seat per month billed annually, in addition to its recorder-seat plans.[18]
   • Avoma's current MCP write operations are limited to meeting purpose, outcome, and privacy classification. CRM record updates remain a separate native-integration workflow.[17]

   Avoma compared with Fireflies.ai

   Criterion	Fireflies.ai	Avoma	What it means
   Sales workflow breadth	Fireflies.ai covers recording, summaries, action items, meeting search, conversation analytics, CRM note capture, and task creation across sales and other team functions.[1]	Avoma combines an AI Meeting Assistant with Scheduler and Lead Router, Conversation Intelligence, and Revenue Intelligence functions including deal risk and forecasting.[14][18]	Avoma is the stronger candidate for a sales-specific consolidation project. Fireflies.ai is the more neutral meeting layer when several departments share the system.
   Pricing architecture	Fireflies.ai includes conversation intelligence and team analytics in Business at $19 per seat per month billed annually, with Enterprise at $39 annually.[5]	Avoma lists annual recorder-seat prices of $19 for Startup, $29 for Organization, and $39 for Enterprise. Conversation Intelligence and Revenue Intelligence each add $29 per seat per month billed annually.[18]	Avoma lets buyers assemble a broader revenue stack, but the useful comparison is the complete configured bundle, not the base recorder-seat price.
   MCP action model	Fireflies.ai's MCP server can read meeting data and perform meeting operations such as sharing access, revoking access, changing a title, moving a meeting, and creating a soundbite.[4]	Avoma's OAuth MCP connector retrieves meeting intelligence and adds three write operations: set_meeting_purpose, set_meeting_outcome, and set_meeting_privacy.[17]	Choose by the write action the agent must perform. Fireflies.ai manages meeting artifacts and access; Avoma classifies sales-meeting metadata.
   Evaluation path	Fireflies.ai offers a permanent Free plan and self-serve paid Pro and Business tiers, while Enterprise routes through contact sales.[5]	Avoma provides a 14-day trial of Organization with all add-ons enabled and no credit card, after which the account changes to a Viewer role unless seats are purchased.[18]	Fireflies.ai supports an ongoing low-cost sandbox. Avoma gives a time-boxed way to test the broader paid bundle, so the evaluation plan should cover the add-ons before the trial ends.