Gong calls itself the only Revenue AI OS that turns insight into action. The homepage puts Engage, Forecast, Enable, and Agents on a Revenue Graph that captures and connects every interaction across the business. Gong’s pricing model depends on a few factors specific to your team. Licenses are priced per user, and there is a platform fee based on how many users are supported. A dollar amount was not verified on the pricing page reviewed here.
Official website · www.gong.io
Gong fits a revenue team that already produces calls, emails, and CRM records and wants those traces to drive follow-up, forecast review, and coaching. The documented way in is a demo and a proposal form, not a public rate card. The form asks how big the team is, from 1–50 through 10,000+, then offers a customized proposal. That is a poor fit if you need a dollar figure before talking to sales, or if you only want a personal transcript. Deal predictors, role-play, and CRM writeback sit in the same system. Customer percentages on these pages are vendor stories, not a result this profile measured.
The homepage says Gong captures every interaction, analyzes what is working, and automates what happens next. It names four jobs: turn customer interactions into revenue outcomes, power every agent and insight with trusted revenue context, close the loop from insight to action with governed agentic execution, and put humans and agents on operating surfaces purpose-built for revenue teams. The Revenue Graph is a living network of revenue data that automatically captures and connects every interaction across the business. Gong Engage prioritizes and personalizes every sales engagement and keeps communications targeted and efficient. Forecast accuracy and org-wide action become second nature with unbiased insights and centralized analytics. Gong Enable is the enablement solution grounded in real customer interactions, meant to turn every rep into a top performer. Gong Agents automate follow-ups, pipeline edits, enablement triggers, and forecast corrections.
Official documentationAI Data Extractor listens to calls and emails, identifies key deal and account details, and automatically fills out CRM fields with no rep input required. The page says that produces clean, complete, structured data ready for analysis. AI Activity Mapper maps activities to the right CRM fields. AI Transcriber transcribes customer conversations to deliver clear insights and visibility across the revenue team. AI Translator translates key insights into a preferred language. AI Briefer turns scattered data into structured briefs for every contact, call, deal, or account, using conversation, CRM, and web data. AI Composer composes personalized emails meant to advance deals. AI Tracker tracks revenue-critical signals for rep behavior and customer needs. AI Theme Spotter uncovers top pain points, common business goals, new competitive threats, or emerging objections, then turns those themes into reports.
Official documentationDeal agents are separate workers. AI Deal Reviewer evaluates deals based on your sales methodology so you can qualify pipeline. AI Deal Monitor notifies you of hidden deal risks. AI Deal Predictor predicts the likelihood of each deal closing. AI Revenue Predictor predicts revenue based on real customer conversations. Those lines do not publish a formula, a threshold, or the fields behind the score. AI Call Reviewer evaluates rep call performance so managers can surface coaching feedback. AI Trainer uses past conversations for role-play matched to personas, situations, and industries, then gives tailored feedback. AI Tasker surfaces high-impact tasks. AI Builder turns insights into enablement content and assets such as scorecards. For a local process, you make an agent in natural language, run it manually whenever, or automate it based on defined events, conditions, and actions. Agent Studio configures pre-built agents with no technical resources required. Each agent is governed by the Gong Revenue Harness, with business context, permissions, oversight, and auditability.
Official documentationThe agents page says there are 300+ integrations in the Gong Collective and names Microsoft Teams, Salesforce, Zoom, Microsoft 365 Copilot, Slack, and Okta. The Teams line is complete: it is the Microsoft 365 hub that integrates people, content, and tools. The pricing page says you can integrate your existing tech stack for free. That line waives a connection charge. It is not a free Gong license. The homepage groups technology, financial services, healthcare, and manufacturing, and says healthcare teams stay compliant, without naming a rule. The agents page adds enterprise-grade security, globally recognized compliance standards, and strict privacy controls, but it does not name a statute or a retention window. An uptime figure is not readable in the public digits. The Collective URL itself returned no readable page.
Official documentationAfter a customer conversation, AI Data Extractor listens to calls and emails, identifies deal and account details, and fills CRM fields with no rep input. AI Activity Mapper places activities on the right fields. Is to let those agents draft the update, then have a person check sensitive fields before the forecast meeting.
A weekly forecast can start from Gong Forecast’s unbiased insights and centralized analytics. A suggested agenda is to open deals AI Deal Monitor flagged, read AI Deal Predictor’s close likelihood, and set AI Revenue Predictor’s figure beside the number a leader will commit. The pages do not say the predictor replaces a manager’s number.
AI Theme Spotter uncovers repeated objections or competitive threats, AI Call Reviewer surfaces call feedback, and AI Trainer turns past conversations into role-play. Is one objection, the calls that show it, then practice before the next live conversation. For the handoff, AI Briefer builds a structured brief for a contact, call, deal, or account from conversation, CRM, and web data. Sending that brief instead of a raw transcript is a suggested handoff.
On the pricing page, pick a team-size band from 1–50 through 10,000+ and submit the form. Gong says it will prepare a customized proposal.
The pricing page says you can integrate your existing tech stack for free. Named connections include Microsoft Teams, Salesforce, Zoom, Slack, and Okta.
The homepage says Gong captures every interaction. AI Transcriber transcribes customer conversations, and the Revenue Graph connects those interactions across the business.
Start with a pre-built agent such as the data extractor or deal monitor, or make an agent in natural language and run it manually or on events.
A price was not verified on the pages reviewed here. Gong’s pricing model depends on a few factors specific to your team. Licenses are priced per user. There is a platform fee based on the number of users supported. Integrating an existing tech stack is described as free. The page asks for a form so Gong can prepare a customized proposal. The first question is team size: 1–50, 51–1,000, 1,001–9,999, or 10,000+.
No plan name, seat minimum, billing period, or currency amount appears in the public pricing text. The only free wording is the integration line, which is not a free product tier.
You want another sales-conversation product instead of Gong’s revenue OS.
Gong’s pages describe Engage, Forecast, Enable, a revenue graph, and a per-user license plus a platform fee. Choose Chorus when that revenue OS is the wrong fit.
You want a Productivity-catalog tool rather than a quoted revenue platform.
Gong’s pages cover CRM writeback, deal prediction, and a sales-quoted platform fee.
You are shopping a Productivity entry, not Gong’s deal agents.
Gong documents transcription plus CRM, forecast, and coaching agents, with licenses priced per user. The public pages say nothing about Otter.ai.
The immediate task is sales email, not the whole revenue graph.
Gong’s AI Composer writes email inside the same system that transcribes calls and updates CRM fields. Choose Lavender when the job is that email, not the revenue graph. Lavender's price was not verified here.
No amount is shown on the public pricing page. Licenses are priced per user, and there is a platform fee based on the number of users supported. The next step is a form for a customized proposal, not a checkout total.
Source“You can integrate your existing tech stack for free” refers to integrations. Licenses are still priced per user, and the page still asks for team size before a proposal.
SourceAI Data Extractor listens to calls and emails, identifies key deal and account details, and fills CRM fields with no rep input required. AI Activity Mapper maps activities to CRM fields.
SourceYou make an agent in natural language, run it manually whenever, or automate it based on defined events, conditions, and actions. Agent Studio configures pre-built agents, and the page says that does not require technical resources. No template list is published.
SourceAI Deal Reviewer uses your sales methodology. AI Deal Monitor notifies you of hidden deal risks. AI Deal Predictor predicts the likelihood of closing. AI Revenue Predictor predicts revenue from customer conversations.
SourceThe agents page mentions enterprise-grade security, globally recognized compliance standards, and strict privacy controls. It does not name a law, a retention period, or a recording-consent step. The public pages also do not state who is notified when a conversation is transcribed, or how long audio is kept.
SourceThe public pages show Sign in, Book a demo, and a pricing form that starts with team size and ends in a customized proposal. They do not describe a self-serve trial or a card checkout.
SourceOct 6, 2026 · NavHunt editorial
NavHunt did not run Gong, did not book a demo, and did not open a live workspace. This profile only restates behavior described on the public homepage, pricing page, and agents page on 6 October 2026. This description is based on Gong's official materials reviewed on 2026-10-06, including Gong - Revenue AI OS, Gong Revenue AI Pricing, AI Agents for Revenue Teams | Gong Agents.
The pricing page asks for team size and offers a customized proposal instead of a checkout rate.