# Gong vs Avoma: pricing, features, and which is better > Gong and Avoma compared across pricing, capture, speaker labels, recordings, notes, sharing, automations, integrations, AI-agent access, and administration. - Canonical HTML: https://circleback.ai/compare/gong-vs-avoma - Structured JSON: https://circleback.ai/compare/gong-vs-avoma.json - Comparison directory: https://circleback.ai/compare - Language: en-US - Editorial perspective: Neutral competitor comparison. Circleback appears only as a clearly labeled third option. ## Short answer Both are built for revenue teams. Gong has more mature enterprise coaching and forecasting; Avoma is more modular, starts lower, and lets non-recorders view for free. The useful buying test is to run both products on the same external call, internal planning session, and noisy in-person meeting. Compare the result, the sharing defaults, and the work that still has to happen by hand. ## Gong at a glance Gong captures customer interactions and turns them into sales coaching, deal intelligence, pipeline inspection, forecasting, and engagement workflows. It is much more than a note taker—and that is both its superpower and its cost. **Best for:** Mature go-to-market organizations that want rep coaching, deal inspection, pipeline forecasting, conversation intelligence, and sales engagement in one suite. **Less ideal for:** A whole company looking for a light, shared memory across engineering, product, recruiting, leadership, and internal conversations. **Price:** Custom quote: per-user licenses plus a platform fee Gong does not publish a self-serve price. Its pricing page says cost combines a per-user license with a platform fee, and capabilities such as Forecast, Engage, Enable, and Data Cloud are organized as additional packages. **Free option:** No self-serve free plan or free trial is advertised; request a demo and quote. ### Gong strengths - Mature sales coaching, call libraries, scorecards, deal inspection, pipeline analytics, and forecasting workflows. - Captures calls, meetings, and email in a customer-account context designed for revenue teams. - Native Zoom recording avoids a Gong bot for eligible company-hosted Zoom calls, while iOS and Android cover face-to-face conversations. - A mature public API, data exports, and a new MCP server give engineering and AI tools useful access to Gong’s revenue context. - Gong Engage has a mature sales to-do system with AI-recommended follow-ups, due dates, completion state, rep and manager views, and direct email or call execution. ### Gong tradeoffs - Pricing is opaque and includes a platform fee; important workflows are split across packages. - Its data model, vocabulary, rollout, and analytics are sales-first, which can create another silo for non-GTM teams. - It is a substantial platform to administer when the actual need is meeting notes, shared context, and reliable follow-through rather than revenue operations. - Standard retention is the shorter of three years or the customer term, but calls placed in the company library are excluded. Shortening retention can also reduce the history behind Gong insights. - The new MCP server is useful but narrow and read-only: it answers questions about one account or deal and generates briefs rather than returning raw transcripts. MCP and some AI APIs also consume a shared pool of Gong credits. - Gong’s meeting-follow-up to-dos require the separately packaged Engage product, are fully supported only in English, and auto-dismiss after seven days if no other completion rule fires. ### Choose Gong when - Forecasting, rep coaching, and deal inspection are the center of the buying decision. - Your organization wants a full revenue platform and can support an enterprise rollout. - Sales leaders need opinionated analytics and manager workflows, not just searchable conversation context. ## Avoma at a glance Avoma spans meeting assistance, CRM hygiene, scheduling, conversation intelligence, and revenue intelligence. Its modular packaging lets sales teams buy depth, while making total cost and cross-company fit more complicated. **Best for:** Customer-facing teams that want notes and CRM sync today, then may add conversation coaching, forecasting, and lead routing without changing platforms. **Less ideal for:** Teams prioritizing in-person capture, simple predictable pricing, or a neutral company-wide memory rather than a revenue workflow. **Price:** Base recording plans from $19/recorder/month annually; intelligence add-ons cost extra Startup is $19/recorder/month with annual billing or $29 month-to-month. Conversation Intelligence and Revenue Intelligence each add $29/selected user/month annually or $35 month-to-month; Lead Router adds $19 annually or $25 month-to-month. Recorder users in a workspace share one base tier. Avoma’s live pricing page currently says Enterprise requires 10 paid seats, while its dedicated minimum-seat help article still says 20, so confirm the minimum in a quote. **Free option:** Free viewer users can consume shared content; recording requires a paid recorder seat. ### Avoma strengths - A broad GTM suite spanning scheduling, recording, CRM updates, coaching, forecast, and routing. - Free viewers let coworkers consume shared meetings without buying a recorder seat. - Strong CRM-oriented workflows, speaker analytics, playlists, scorecards, and enterprise controls. - Action items can be detected with owners and deadlines, tracked in task dashboards, prioritized, and synchronized with CRM and project tools. - Customer meeting data is not used to train AI models; recordings and transcripts can be downloaded in standard formats, and admins can set retention policies. ### Avoma tradeoffs - Conversation Intelligence and Revenue Intelligence are separate add-ons, so the attractive base price is not the full sales-platform price. - Enterprise has a meaningful recorder-seat minimum. Avoma’s current pricing page says 10 while its dedicated help article says 20, so a smaller team should confirm the requirement before evaluating its governance tier. - Avoma’s own help center says it does not fully support in-person meetings the way it supports virtual calls; speaker identification can be limited. - The product model is customer/revenue-centric, which can be awkward for product, engineering, recruiting, and internal meetings. ### Choose Avoma when - You want a modular revenue platform with scheduling and CRM workflow depth. - Free viewer access matters and most recorders are customer-facing employees. - You are comfortable adding paid coaching or forecasting modules as the team matures. ## Feature comparison | What matters | Gong | Avoma | | --- | --- | --- | | Capture options | Broad support — Meeting bot, native Zoom recording, telephony, and mobile capture. Gong captures supported web meetings, calls, and email. Eligible company-hosted Zoom calls can use Zoom-native recording with no Gong bot; other web-conferencing paths generally use the bot. Its mobile app records scheduled or ad-hoc face-to-face conversations. | Broad support — Meeting bot, native cloud options, and bot-free desktop capture. Avoma can use a bot, supported native platform recording, or a desktop path. The bot appearance and consent messages are customizable. | | Desktop and mobile | Available with limits — Web plus iOS and Android; sales workflows are cloud-first. Mobile apps support recording and review. Gong is primarily an enterprise web platform rather than a general-purpose botless desktop recorder; only its Zoom integration offers native provider recording without the Gong bot. | Available with limits — Web and desktop with a mobile app. The platform supports virtual-meeting workflows well. Mobile recording exists, but the company documents caveats for using it as a full in-person substitute. | | In-person capture and speaker labels | Available with limits — Mobile face-to-face audio recording. iOS and Android can capture scheduled or ad-hoc room meetings. Gong separates speakers, but same-room voices may appear as room-name Speaker 1, Speaker 2, and so on until someone edits them; noisy rooms can reduce quality. | Narrow or indirect — Possible, with explicit speaker and quality caveats. Avoma says it does not fully support in-person meetings in the same way as virtual calls. Mobile and conference-device workarounds can record audio, but reliable room speaker identification is a limitation. | | Recordings, playback, and clips | Broad support — Rich call playback, libraries, snippets, and coaching review. Recording review is a core Gong workflow, with synchronized transcript, comments, snippets, libraries, trackers, and manager coaching tools. | Broad support — Audio/video playback, snippets, playlists, and coaching review. Virtual customer conversations get rich playback and revenue-review workflows. Hosts, participants, admins, and host managers can download video, audio, and VTT or TXT transcripts. Retention and access depend on workspace configuration and plan. | | Notes, action items, and search | Broad support — Sales summaries, next steps, account search, and conversation intelligence. Gong excels at finding deal moments, objections, topics, rep behaviors, and next steps. With Engage, recommended meeting follow-ups become due-dated to-dos that can be completed, dismissed, reviewed by managers, and acted on through email or calls. A recommendation can auto-dismiss after seven days if no other completion rule fires. The experience is optimized around customer and revenue questions rather than general company knowledge. | Broad support — AI notes, search, and assigned action-item dashboards. Notes and search are strong. Avoma detects action items with owners and deadlines, tracks them in default task dashboards, suggests priority from meeting and deal context, and flags overdue or at-risk work. Additional topic, scorecard, and coaching intelligence is available through the Conversation Intelligence add-on. | | People, companies, and context | Broad support — Deep account and deal history for GTM teams. Calls, meetings, and email roll into account and deal context. This is powerful for revenue work but is not positioned as a shared memory for every internal and external company conversation. | Available with limits — Customer-account and deal context. Avoma organizes history around meetings, accounts, and revenue workflows. It is less focused on a general person/company memory incorporating email, calendar, and internal context for every department. | | Automatic sharing and workspace defaults | Available with limits — Permissioned call, snippet, and folder sharing. Calls and snippets can be shared internally or externally, and shared folders can grant access to every call they contain. Gong documents automatic capture rules, while post-meeting distribution centers on direct shares, folders, teams, accounts, and coaching libraries. | Broad support — Meeting-type visibility defaults, teams, and free viewers. Internal meetings default to private and external meetings to organization visibility, with Primary Team and Public options available. Organization admins can instead choose internal/external defaults for participants, specific teams, or the organization and lock the rule against user changes. Free viewer seats, snippets, and playlists make broad consumption practical. | | Automations | Broad support — Purpose-built revenue workflows and engagement sequences. Gong automates CRM activity, deal signals, alerts, coaching, and sales engagement. Engage flows and AI-recommended to-dos centralize rep work and let managers inspect team queues. It is highly capable inside revenue operations, but this task system is package-gated and less open-ended for arbitrary company workflows. | Broad support — Conditional CRM, task, privacy, scheduling, and routing workflows. Avoma has a real organization-level trigger/condition/action system. It can react to calendar, transcript, or note events; filter by title, team, participant domain, keyword, or meeting type; then set privacy or purpose, detect outcomes, update CRM data, and create tasks from action items. Manual rules start on the Startup plan and AI-powered rules require Organization or higher; coaching, forecasting, and lead routing remain separate modules. | | Integrations | Broad support — Deep CRM, calendar, conferencing, and sales-stack integrations. The integration strategy is strong where revenue teams live: CRMs, dialers, calendars, meeting platforms, and sales engagement systems. | Broad support — Deep CRM and sales-stack integrations. Avoma emphasizes CRM, conferencing, calendar, dialer, and sales tools. Action items can sync into HubSpot, Salesforce, ClickUp, Asana, and other destinations, with Zapier extending the catalog. It remains oriented around GTM rather than being a neutral engineering-workflow platform. | | API, MCP, CLI, and data portability | Broad support — Mature APIs, exports, data cloud, and a focused MCP server. Gong exposes calls, full speaker-segmented transcripts, users, CRM-linked objects, exports, and data-warehouse tables. Its 2026 MCP server supports personal or organization-wide authorization for ChatGPT, Claude, Copilot, and custom agents, but is read-only and limited to account/deal questions and generated briefs—not raw meeting retrieval. Those MCP tools and some AI APIs consume Gong credits. There is no documented first-party CLI. | Available with limits — API for recordings, transcripts, notes, and coaching data. Avoma documents API access to recordings, transcripts, summaries, notes, and coaching insights on selected plans. Keys are admin-created, requests are user- or organization-scoped, and the documented rate limit is 60 requests per minute. | | Security, privacy, and admin | Broad support — Mature enterprise administration and governance. Gong supports large deployments, granular access, SSO/SCIM, retention configuration, deletion, and compliance workflows. Standard retention is the shorter of three years or the customer term and data is deleted 30 days after the relationship ends; company-library calls sit outside the standard rule. | Broad support — Strong enterprise controls on upper tiers. Admin, configurable retention, SSO, and compliance features are available as plans increase. Avoma says customer meeting data is never used to train AI models, and its DPA commits to deletion or return within 30 days after termination, subject to backups and legal obligations. The same-base-tier requirement for recorder users reduces mix-and-match flexibility. | | Languages | Broad support — More than 70 languages; some AI features remain English-only. Gong documents more than 70 transcription languages plus AI translation. Email labels, red-flag alerts, Gong-recommended to-dos, and example-based smart trackers are still English-only, so global teams should verify the exact workflow rather than relying on the headline count. | Broad support — More than 60 documented languages and dialects. Avoma’s help page says it supports more than 60 languages and dialects, while its page title advertises 75+. Buyers should verify the exact language and whether the coaching or revenue-intelligence feature they need supports it. | Ratings describe documented breadth rather than overall product quality: - **Broad support:** Broad native support across the product or relevant paid plans. - **Available with limits:** Documented support with meaningful scope, mode, or plan limits. - **Narrow or indirect:** Narrow, indirect, beta, or substantially plan-gated support. - **Not documented:** No current first-party documentation for a native option. ## Detailed analysis ### Capture options **Both products document broad support for capture options, with different scope and plan limits.** **Gong:** Meeting bot, native Zoom recording, telephony, and mobile capture. Gong captures supported web meetings, calls, and email. Eligible company-hosted Zoom calls can use Zoom-native recording with no Gong bot; other web-conferencing paths generally use the bot. Its mobile app records scheduled or ad-hoc face-to-face conversations. Evidence: [Gong web-conferencing capture](https://help.gong.io/docs/web-conferencing-integrations), [Gong mobile recording](https://help.gong.io/docs/record-meetings-on-mobile). **Avoma:** Meeting bot, native cloud options, and bot-free desktop capture. Avoma can use a bot, supported native platform recording, or a desktop path. The bot appearance and consent messages are customizable. Evidence: [Avoma recording](https://www.avoma.com/ai-meeting-assistant/meeting-recording-software). ### Desktop and mobile **Both products support desktop and mobile, with different scope and plan limits.** **Gong:** Web plus iOS and Android; sales workflows are cloud-first. Mobile apps support recording and review. Gong is primarily an enterprise web platform rather than a general-purpose botless desktop recorder; only its Zoom integration offers native provider recording without the Gong bot. Evidence: [Gong web-conferencing capture](https://help.gong.io/docs/web-conferencing-integrations), [Gong mobile recording](https://help.gong.io/docs/record-meetings-on-mobile). **Avoma:** Web and desktop with a mobile app. The platform supports virtual-meeting workflows well. Mobile recording exists, but the company documents caveats for using it as a full in-person substitute. Evidence: [Avoma recording](https://www.avoma.com/ai-meeting-assistant/meeting-recording-software), [Avoma in-person meeting support](https://help.avoma.com/can-avoma-help-with-an-in-person-meeting). ### In-person capture and speaker labels **Gong has broader documented support for in-person capture and speaker labels.** **Gong:** Mobile face-to-face audio recording. iOS and Android can capture scheduled or ad-hoc room meetings. Gong separates speakers, but same-room voices may appear as room-name Speaker 1, Speaker 2, and so on until someone edits them; noisy rooms can reduce quality. Evidence: [Gong mobile recording](https://help.gong.io/docs/record-meetings-on-mobile), [Gong speaker identification](https://help.gong.io/docs/how-gong-identifies-speakers). **Avoma:** Possible, with explicit speaker and quality caveats. Avoma says it does not fully support in-person meetings in the same way as virtual calls. Mobile and conference-device workarounds can record audio, but reliable room speaker identification is a limitation. Evidence: [Avoma in-person meeting support](https://help.avoma.com/can-avoma-help-with-an-in-person-meeting). ### Recordings, playback, and clips **Both products document broad support for recordings, playback, and clips, with different scope and plan limits.** **Gong:** Rich call playback, libraries, snippets, and coaching review. Recording review is a core Gong workflow, with synchronized transcript, comments, snippets, libraries, trackers, and manager coaching tools. Evidence: [Gong plans and seats](https://help.gong.io/docs/plans-and-seats), [Gong data retention](https://help.gong.io/docs/data-retention-policy). **Avoma:** Audio/video playback, snippets, playlists, and coaching review. Virtual customer conversations get rich playback and revenue-review workflows. Hosts, participants, admins, and host managers can download video, audio, and VTT or TXT transcripts. Retention and access depend on workspace configuration and plan. Evidence: [Avoma recording](https://www.avoma.com/ai-meeting-assistant/meeting-recording-software), [Avoma meeting downloads](https://help.avoma.com/downloading-a-meeting). ### Notes, action items, and search **Both products document broad support for notes, action items, and search, with different scope and plan limits.** **Gong:** Sales summaries, next steps, account search, and conversation intelligence. Gong excels at finding deal moments, objections, topics, rep behaviors, and next steps. With Engage, recommended meeting follow-ups become due-dated to-dos that can be completed, dismissed, reviewed by managers, and acted on through email or calls. A recommendation can auto-dismiss after seven days if no other completion rule fires. The experience is optimized around customer and revenue questions rather than general company knowledge. Evidence: [Gong plans and seats](https://help.gong.io/docs/plans-and-seats), [Gong recommended to-dos](https://help.gong.io/docs/gong-recommended-to-dos), [Gong team to-do management](https://help.gong.io/docs/working-with-todos). **Avoma:** AI notes, search, and assigned action-item dashboards. Notes and search are strong. Avoma detects action items with owners and deadlines, tracks them in default task dashboards, suggests priority from meeting and deal context, and flags overdue or at-risk work. Additional topic, scorecard, and coaching intelligence is available through the Conversation Intelligence add-on. Evidence: [Avoma pricing](https://www.avoma.com/pricing), [Avoma action-item tracking](https://www.avoma.com/ai-meeting-assistant/action-item-tracking-software). ### People, companies, and context **Gong has broader documented support for people, companies, and context.** **Gong:** Deep account and deal history for GTM teams. Calls, meetings, and email roll into account and deal context. This is powerful for revenue work but is not positioned as a shared memory for every internal and external company conversation. Evidence: [Gong plans and seats](https://help.gong.io/docs/plans-and-seats). **Avoma:** Customer-account and deal context. Avoma organizes history around meetings, accounts, and revenue workflows. It is less focused on a general person/company memory incorporating email, calendar, and internal context for every department. Evidence: [Avoma pricing](https://www.avoma.com/pricing). ### Automatic sharing and workspace defaults **Avoma has broader documented support for automatic sharing and workspace defaults.** **Gong:** Permissioned call, snippet, and folder sharing. Calls and snippets can be shared internally or externally, and shared folders can grant access to every call they contain. Gong documents automatic capture rules, while post-meeting distribution centers on direct shares, folders, teams, accounts, and coaching libraries. Evidence: [Gong call and folder sharing](https://help.gong.io/docs/enable-call-and-folder-sharing). **Avoma:** Meeting-type visibility defaults, teams, and free viewers. Internal meetings default to private and external meetings to organization visibility, with Primary Team and Public options available. Organization admins can instead choose internal/external defaults for participants, specific teams, or the organization and lock the rule against user changes. Free viewer seats, snippets, and playlists make broad consumption practical. Evidence: [Avoma meeting privacy](https://help.avoma.com/meeting-privacy), [Avoma organization privacy policies](https://help.avoma.com/manage-organization-wide-privacy-and-security-settings). ### Automations **Both products document broad support for automations, with different scope and plan limits.** **Gong:** Purpose-built revenue workflows and engagement sequences. Gong automates CRM activity, deal signals, alerts, coaching, and sales engagement. Engage flows and AI-recommended to-dos centralize rep work and let managers inspect team queues. It is highly capable inside revenue operations, but this task system is package-gated and less open-ended for arbitrary company workflows. Evidence: [Gong automation rules](https://help.gong.io/docs/introduction-to-automation-rules), [Gong recommended to-dos](https://help.gong.io/docs/gong-recommended-to-dos), [Gong team to-do management](https://help.gong.io/docs/working-with-todos). **Avoma:** Conditional CRM, task, privacy, scheduling, and routing workflows. Avoma has a real organization-level trigger/condition/action system. It can react to calendar, transcript, or note events; filter by title, team, participant domain, keyword, or meeting type; then set privacy or purpose, detect outcomes, update CRM data, and create tasks from action items. Manual rules start on the Startup plan and AI-powered rules require Organization or higher; coaching, forecasting, and lead routing remain separate modules. Evidence: [Avoma pricing](https://www.avoma.com/pricing), [Avoma automations](https://help.avoma.com/understanding-automations-in-avoma). ### Integrations **Both products document broad support for integrations, with different scope and plan limits.** **Gong:** Deep CRM, calendar, conferencing, and sales-stack integrations. The integration strategy is strong where revenue teams live: CRMs, dialers, calendars, meeting platforms, and sales engagement systems. Evidence: [Gong plans and seats](https://help.gong.io/docs/plans-and-seats). **Avoma:** Deep CRM and sales-stack integrations. Avoma emphasizes CRM, conferencing, calendar, dialer, and sales tools. Action items can sync into HubSpot, Salesforce, ClickUp, Asana, and other destinations, with Zapier extending the catalog. It remains oriented around GTM rather than being a neutral engineering-workflow platform. Evidence: [Avoma pricing](https://www.avoma.com/pricing), [Avoma action-item tracking](https://www.avoma.com/ai-meeting-assistant/action-item-tracking-software). ### API, MCP, CLI, and data portability **Gong has broader documented support for API, MCP, CLI, and data portability.** **Gong:** Mature APIs, exports, data cloud, and a focused MCP server. Gong exposes calls, full speaker-segmented transcripts, users, CRM-linked objects, exports, and data-warehouse tables. Its 2026 MCP server supports personal or organization-wide authorization for ChatGPT, Claude, Copilot, and custom agents, but is read-only and limited to account/deal questions and generated briefs—not raw meeting retrieval. Those MCP tools and some AI APIs consume Gong credits. There is no documented first-party CLI. Evidence: [Gong transcript API](https://help.gong.io/apidocs/retrieve-transcripts-of-calls-by-date-or-callids-v2callstranscript-2), [Gong API overview](https://help.gong.io/docs/what-the-gong-api-provides), [Gong MCP server](https://help.gong.io/docs/about-gong-mcp-server), [Gong MCP setup](https://help.gong.io/docs/create-an-integration-to-connect-to-the-mcp-server), [Gong AI credits](https://help.gong.io/docs/about-gong-credits), [Gong transcript downloads](https://help.gong.io/docs/view-a-call-transcript), [Gong media downloads](https://help.gong.io/docs/download-a-call-or-snippet). **Avoma:** API for recordings, transcripts, notes, and coaching data. Avoma documents API access to recordings, transcripts, summaries, notes, and coaching insights on selected plans. Keys are admin-created, requests are user- or organization-scoped, and the documented rate limit is 60 requests per minute. Evidence: [Avoma API documentation](https://help.avoma.com/api-documentation), [Avoma meeting downloads](https://help.avoma.com/downloading-a-meeting). ### Security, privacy, and admin **Both products document broad support for security, privacy, and admin, with different scope and plan limits.** **Gong:** Mature enterprise administration and governance. Gong supports large deployments, granular access, SSO/SCIM, retention configuration, deletion, and compliance workflows. Standard retention is the shorter of three years or the customer term and data is deleted 30 days after the relationship ends; company-library calls sit outside the standard rule. Evidence: [Gong plans and seats](https://help.gong.io/docs/plans-and-seats), [Gong data retention](https://help.gong.io/docs/data-retention-policy). **Avoma:** Strong enterprise controls on upper tiers. Admin, configurable retention, SSO, and compliance features are available as plans increase. Avoma says customer meeting data is never used to train AI models, and its DPA commits to deletion or return within 30 days after termination, subject to backups and legal obligations. The same-base-tier requirement for recorder users reduces mix-and-match flexibility. Evidence: [Avoma pricing](https://www.avoma.com/pricing), [Avoma seat minimums](https://help.avoma.com/is-there-a-minimum-seat-requirement-for-each-plan), [Avoma AI data handling](https://help.avoma.com/do-you-use-my-data-to-train-your-models), [Avoma data processing addendum](https://www.avoma.com/data-processing-addendum). ### Languages **Both products document broad support for languages, with different scope and plan limits.** **Gong:** More than 70 languages; some AI features remain English-only. Gong documents more than 70 transcription languages plus AI translation. Email labels, red-flag alerts, Gong-recommended to-dos, and example-based smart trackers are still English-only, so global teams should verify the exact workflow rather than relying on the headline count. Evidence: [Gong language support](https://help.gong.io/docs/what-languages-are-supported-in-gong). **Avoma:** More than 60 documented languages and dialects. Avoma’s help page says it supports more than 60 languages and dialects, while its page title advertises 75+. Buyers should verify the exact language and whether the coaching or revenue-intelligence feature they need supports it. Evidence: [Avoma supported languages](https://help.avoma.com/does-avoma-support-other-languages). ## A third option to consider: Circleback Circleback turns online meetings, in-person conversations, and imported calls into one shared company memory. Record with a bot, with the botless desktop app, from an iPhone or Android phone, or on Apple Watch. Every route produces the same speaker-labeled record, detailed notes designed to stand alone, and automatically assigned action items. Sharing rules and automations carry the useful parts into the teams and tools that need them. Circleback is built for people and AI agents: the complete meeting record available to a person is also available programmatically through its API, MCP, and CLI. Circleback can also search connected apps and take action in them. It is built for people and AI agents: the same complete meeting data available to a person is available programmatically to ChatGPT, Claude, other agents, and internal tools through the API, MCP, and CLI. Free; Pro from $15/user/month annually; Business from $25/user/month annually; Enterprise $35/user/month, billed annually. ## Frequently asked questions ### Which is better: Gong or Avoma? Both are built for revenue teams. Gong has more mature enterprise coaching and forecasting; Avoma is more modular, starts lower, and lets non-recorders view for free. ### Which is less expensive, Gong or Avoma? Gong: Custom quote: per-user licenses plus a platform fee. Avoma: Base recording plans from $19/recorder/month annually; intelligence add-ons cost extra. Compare the paid seats, included usage, recording access, and admin features you actually need. ### Can Gong and Avoma record without a bot? Gong: Meeting bot, native Zoom recording, telephony, and mobile capture. Avoma: Meeting bot, native cloud options, and bot-free desktop capture. The useful check is whether your required capture mode keeps video, a recording, and speaker names. ### Which is better for a whole company? First ask who gets each note automatically; otherwise useful context stays with the recorder. Then compare permissions, retention, and enforced defaults. Gong: Permissioned call, snippet, and folder sharing. Avoma: Meeting-type visibility defaults, teams, and free viewers. ### Can I access and move the full meeting data? Gong: Mature APIs, exports, data cloud, and a focused MCP server. Avoma: API for recordings, transcripts, notes, and coaching data. Check the selected plan, authentication model, transcript scope, export format, and retention window for the workflow you need. ### How was this comparison researched? We use first-party pricing pages, product pages, help docs, and release notes for both products. The sources are linked below. ## Methodology Circleback reviews first-party pricing pages, product pages, help docs, and release notes. Prices and capabilities move, so check the linked sources when a detail is important to your decision. Every feature dimension links to the exact first-party documents used for that claim. Ratings describe documented breadth, not an overall score or winner. This page is a neutral competitor-to-competitor comparison. There are no paid placements or affiliate rankings. ## First-party sources ### Gong sources - [Gong pricing](https://www.gong.io/pricing): Custom pricing structure, per-user licenses, platform fee, and package model. - [Gong web-conferencing capture](https://help.gong.io/docs/web-conferencing-integrations): Bot capture across providers and native bot-free recording for eligible Zoom meetings. - [Gong transcript API](https://help.gong.io/apidocs/retrieve-transcripts-of-calls-by-date-or-callids-v2callstranscript-2): Documented call-transcript endpoint, pagination, filters, and authorization scope. - [Gong API overview](https://help.gong.io/docs/what-the-gong-api-provides): Calls, full transcripts, analyzed conversation data, users, activity, and CRM-linked API capabilities. - [Gong MCP server](https://help.gong.io/docs/about-gong-mcp-server): Read-only account/deal questions and brief generation for external AI clients. - [Gong MCP setup](https://help.gong.io/docs/create-an-integration-to-connect-to-the-mcp-server): Paid-seat requirement, personal or shared authorization, OAuth setup, and official MCP endpoint. - [Gong AI credits](https://help.gong.io/docs/about-gong-credits): Shared annual credit pool and consumption behavior for MCP, AI APIs, and continuous AI processing. - [Gong transcript downloads](https://help.gong.io/docs/view-a-call-transcript): Per-call transcript download and synchronized transcript behavior. - [Gong media downloads](https://help.gong.io/docs/download-a-call-or-snippet): Permissioned audio, video, and snippet downloads on any Gong plan. - [Gong plans and seats](https://help.gong.io/docs/plans-and-seats): Foundation platform and Enable, Forecast, Engage, and Data Cloud packages. - [Gong mobile recording](https://help.gong.io/docs/record-meetings-on-mobile): iOS and Android in-person recording behavior and quality considerations. - [Gong speaker identification](https://help.gong.io/docs/how-gong-identifies-speakers): Speaker separation, same-room generic labels, platform behavior, and optional voice identification. - [Gong data retention](https://help.gong.io/docs/data-retention-policy): Standard and custom retention behavior. - [Gong language support](https://help.gong.io/docs/what-languages-are-supported-in-gong): More than 70 transcription languages, AI translation, and the AI capabilities that remain English-only. - [Gong call and folder sharing](https://help.gong.io/docs/enable-call-and-folder-sharing): Company permissions for external call sharing and internal shared folders. - [Gong automation rules](https://help.gong.io/docs/introduction-to-automation-rules): Plan availability, supported triggers and actions, and future-only rule application. - [Gong recommended to-dos](https://help.gong.io/docs/gong-recommended-to-dos): Engage eligibility, AI meeting follow-ups, source timestamps, due dates, completion rules, seven-day expiry, and language limits. - [Gong team to-do management](https://help.gong.io/docs/working-with-todos): Personal and manager task views, filters, due dates, bulk completion, CRM context, and execution controls. ### Avoma sources - [Avoma pricing](https://www.avoma.com/pricing): Base plans, free viewers, minimums, and Conversation/Revenue Intelligence add-ons. - [Avoma seats and add-ons](https://help.avoma.com/avoma-pricing-recorder-seats-free-users-add-ons): Recorder-seat rules, viewer access, add-on prices, and workspace base-tier behavior. - [Avoma seat minimums](https://help.avoma.com/is-there-a-minimum-seat-requirement-for-each-plan): This help article says Enterprise has a 20-recorder minimum, while the live pricing page says 10; verify the current requirement with Avoma. - [Avoma in-person meeting support](https://help.avoma.com/can-avoma-help-with-an-in-person-meeting): Official limitations and workarounds for room conversations. - [Avoma recording](https://www.avoma.com/ai-meeting-assistant/meeting-recording-software): Capture methods, languages, CRM workflow, and retention overview. - [Avoma meeting privacy](https://help.avoma.com/meeting-privacy): Automatic internal and external defaults plus Private, Primary Team, Organization, and Public access levels. - [Avoma organization privacy policies](https://help.avoma.com/manage-organization-wide-privacy-and-security-settings): Locked organization defaults for internal and external meeting visibility across participants, teams, or the whole organization. - [Avoma API documentation](https://help.avoma.com/api-documentation): Recording, transcript, summary, notes, coaching insight, scope, authentication, and rate-limit details. - [Avoma action-item tracking](https://www.avoma.com/ai-meeting-assistant/action-item-tracking-software): Automatic owner and deadline extraction, task dashboards, prioritization, at-risk flags, and CRM/project-tool synchronization. - [Avoma automations](https://help.avoma.com/understanding-automations-in-avoma): Organization-level triggers, conditions, plan gates, privacy rules, AI outcomes, CRM updates, and task creation from notes. - [Avoma meeting downloads](https://help.avoma.com/downloading-a-meeting): Recording downloads and transcript exports in VTT or TXT. - [Avoma supported languages](https://help.avoma.com/does-avoma-support-other-languages): Official multilingual transcription count and language list. - [Avoma AI data handling](https://help.avoma.com/do-you-use-my-data-to-train-your-models): Explicit statement that customer data is not used to train AI models. - [Avoma data processing addendum](https://www.avoma.com/data-processing-addendum): Subprocessor terms, transfer safeguards, and deletion or return within 30 days after service termination.