Four/Four vs Gong: voice of customer for the whole company vs conversation intelligence for sales

Four/Four and Gong both analyse customer conversations, but for different teams. Gong is conversation intelligence for revenue teams: call recording, deal visibility and sales coaching. Four/Four is a voice of customer platform that turns calls, tickets and chats into evidence for product, CS and engineering. Many teams run both, with Four/Four importing Gong calls.

Four/Four vs Gong at a glance

Gong wins on sales coaching and deal management; Four/Four wins on cross-source evidence for product and engineering and on what its MCP exposes.

Choose Gong if… / Choose Four/Four if…

Choose Gong if:

• Your main goal is coaching sales reps and improving win rates.
• You need deal boards, pipeline risk alerts and forecasting tied to call activity.
• Your buyers of the tool are sales and revenue operations leaders.
• You want one vendor for call recording, engagement and revenue intelligence.

Choose Four/Four if:

• Product, CS or engineering teams need customer evidence, not just sales teams.
• Your feedback lives in tickets, emails and chats as well as calls.
• You want an AI assistant to read full transcripts and insight detail through an MCP.
• You want evidence pushed into product management systems like Jira Product Discovery or Productboard automatically.
• You'd rather pay for content processed than for every seat.

Already on Gong? Keep it for sales and add Four/Four on top.

Which is better for product teams, Four/Four or Gong?

Four/Four is better for product teams, because it is built to turn conversations into product evidence rather than deal intelligence. Four/Four extracts jobs, pains, needs, proposed solutions and feature requests from every call, ticket and chat, then scores them. Topic sets group those insights into themes that product managers can compare across segments and time periods. Evidence then flows into product management systems like Jira Product Discovery or Productboard, so each idea carries the customer quotes behind it. Gong surfaces themes too, but its analysis is organised around accounts, deals and reps. A product manager using Gong alone usually has to search calls one deal at a time.

Does Gong do voice of customer analysis?

Gong does some voice of customer analysis, focused on what customers say in sales conversations. Gong's AI highlights risks, objections and stakeholder concerns for an account or deal, and the Gong Assistant answers questions across its Revenue Graph. That works well for revenue teams. Gong is less suited to company-wide voice of customer work, because support tickets and chats are not its core data, and its insights are framed around closing deals rather than product and strategic priorities. Four/Four covers sales calls, CS meetings, support tickets, emails and chats in one model, so feedback from every stage of the customer journey lands in the same themes.

How do the Gong MCP and Four/Four MCP compare?

The Four/Four MCP gives AI assistants the underlying customer evidence, while the Gong MCP gives them Gong's summary of it. Gong's official MCP server has three read-only tools, ask_account, ask_deal and generate_brief, and Gong states that call transcripts, message bodies and activity lists are not returned. Each question draws down Gong credits. Four/Four's MCP server has 15 tools covering conversations (with transcripts on request), extracted insights, topics, issues, accounts, contacts, leads and opportunities, each result linked back to its source. It can also act: create and attach labels, and start new topic analyses. Read more here.

Which is better for sales coaching?

Gong is better for sales coaching. Gong Enable includes an AI Call Reviewer, an AI Trainer and initiative tracking, and Gong reports a 50% cut in rep ramp time across its customers. Four/Four supports sales teams differently: it finds the objections, pains and competitor mentions that come up across many calls, then turns them into tailored enablement content and outbound messaging. Teams that want both usually keep Gong for coaching and use Four/Four to decide what reps should be coached on.

Can Four/Four analyse tickets, emails and chats as well as calls?

Yes. Four/Four connects to Zendesk, Intercom, ServiceNow, Pylon, Genesys Cloud and NiCE CXone alongside call tools such as Gong, Zoom, Teams, Aircall and RingCentral. Insights from every source share one set of topics, so a theme raised in support tickets and in sales calls shows as one trend.

Which handles security and data privacy better?

Both products offer enterprise security, so check each trust centre against your own requirements. Four/Four offers tiered PII and PCI redaction, role-gated permissions, SSO through Google, Microsoft and Okta, and EU data residency, with details at trust.fourfour.ai. Gong trains AI models per customer to avoid mixing customer data. Gong's MCP excludes private calls and supports personal or organisation-wide access tokens.

Using Four/Four with Gong

You don't have to choose: Four/Four imports Gong conversations, so sales keeps Gong and the rest of the company gets the evidence. Four/Four then adds what Gong and its MCP don't provide:

• Full detail for AI assistants. Claude or ChatGPT can read Gong call transcripts and the insights behind them through Four/Four's MCP, not only Gong's summary.
• One view across sources. Gong calls sit in the same topics as support tickets, chats and CS meetings.
• Evidence for product and engineering. Customer quotes flow into Jira Product Discovery and Productboard, so engineers can check what they build against the customer need, not just the ticket.
• Analysis for every team, without extra Gong seats. Product, CS and marketing get access without each needing a Gong licence.

FAQ

Is Four/Four a Gong alternative? Four/Four is an alternative for teams that use Gong mainly to understand customers rather than to coach reps. If product, CS or marketing teams are the main users, Four/Four covers calls, tickets and chats at a consumption price. If sales coaching and forecasting are the priority, Gong remains the stronger fit, and Four/Four can sit on top of it.

Can I use Four/Four and Gong together? Yes. Four/Four imports conversations from Gong, so sales teams keep Gong for coaching and deal work while product, CS and engineering analyse the same calls in Four/Four. Gong calls are combined with tickets, chats and other meetings in one set of topics.

Does the Gong MCP return call transcripts? No. Gong's help centre states that its MCP server returns AI-generated insights and does not return call transcripts, message bodies or activity lists. It has three read-only tools: ask_account, ask_deal and generate_brief. Four/Four's MCP returns transcripts on request, plus extracted insights, topics and CRM records, each linked to its source.

Can I connect Gong data to Claude or ChatGPT? Yes, in two ways. Gong's own MCP server supports ChatGPT and Microsoft Copilot officially, and Claude through a custom connector, returning summaries. Connecting Gong to Four/Four, then Four/Four to Claude or ChatGPT through its built-in MCP server, gives the assistant full transcripts, insights and themes from Gong and every other source.

Is Four/Four cheaper than Gong? Four/Four's public plans start at £199 a month, billed annually, with no per-seat fees. Gong doesn't publish prices; its pricing page says it charges per user plus a platform fee. The cost difference depends on how many people need access and how much content you process.

Does Gong analyse support tickets? Gong focuses on revenue conversations: calls, emails and messages. It can pull in some support data, for example from Zendesk through its MCP client. Four/Four connects natively to Zendesk, Intercom, ServiceNow, Pylon, Genesys Cloud and NiCE CXone, and analyses tickets in the same topics as calls.

Do I need to replace Gong to use Four/Four? No. Teams that already use Gong can keep it for sales and add Four/Four for voice of customer analysis. Setup means connecting Gong as a source; your existing Gong recordings and workflows are unchanged.