What do users say about Gong?

I like that all of our conversations with our clients and prospects are in one place. We can quickly analyze trends, find gaps in our deals, and see how our outbound messaging is working. I love the prompt-based emails that use previous conversations to help tailor our cross-sell messaging. Review collected by and hosted on G2.com.

Credits. I hate the credit system. The system is unpredictable. Gong rolled out credits before their product was built to support them. There are so many gaps in the application of the credits that I am in a constant battle with my CSM and support to try to understand how they are used and why. Gong has been working retroactively to build controls and visibility to credit consumption. However, they should have had all this in place before rolling out the credit system. Review collected by and hosted on G2.com.

Gong brings a lot of work we were doing across separate tools under one hood. We had call recordings, transcripts, Notebook LM, spreadsheets, and engagement work happening in different places. Now the team can use Gong for call prep, follow-up recaps, deal boards, scorecards, flows, and account context without all the manual effort of stitching information together.

It has also been easy to get useful workflows up and running. We built new business and expansion deal boards, automated lead follow-up flows, handoff briefs, scorecards, and forecasting boards during implementation. The visibility is a big upside. It is much easier to see whether reps are following up on leads and to coach from specific moments in calls instead of listening to full recordings. Compared with Chorus, Gong feels much more usable across the broader go-to-market organization, not just as a place where calls get recorded. Review collected by and hosted on G2.com.

The biggest gap we're hitting right now is getting transcripts or structured notes from meetings that cannot be recorded into Gong. We can work around it with recap emails or the mobile app, but the workflow isn't optimal. Being able to ingest transcript text or separate notes directly would be ideal. Review collected by and hosted on G2.com.

The option to give me a summary with AI. The option to send the info to emails. Review collected by and hosted on G2.com.

I really like all the features of the software Review collected by and hosted on G2.com.

In Gong, you can set rules and settings that notify you if x,y,z were or were not said or addressed during a call. It's a great training tool to help show where we can improve our talk tracks.

There are pipeline reports that make it easier for me to see deals coming my team's way. I appreciate the transparency, it allows me to be more prepared for deal assignments. Review collected by and hosted on G2.com.

Under a specific client, I'd like to be able to see the entire call history instead of the last recorded call and emails (this might be a lack of platform knowledge on my side) Review collected by and hosted on G2.com.

I absolutely love GONG. It's intuitive and easy to use, but what really stands out to me are its AI features and agents. Review collected by and hosted on G2.com.

This isn't exactly a dislike, but more of a suggestion. GONG has recently introduced several new AI-related features, and when I browse my GONG settings page, it can feel overwhelming with all the announcements and new options. It's easy to get lost among the updates. Review collected by and hosted on G2.com.

What I like best is that Gong gives us useful insight from customer conversations and lets us put it into real workflows. New hires use it a lot to listen to demos and learn from colleagues. We also use Gong data through MCP with Claude across sales, product and marketing, so Gong has become both a call library and a source of insight.

More recently, we have built our own qualification playbook around things like decision maker, ICP fit, size and confirmed commitment. Gong can pick this up from calls, show it in the deal view, and push it to HubSpot. That is super handy because it reduces manual CRM work and gives sales leadership a clearer view of demo quality. The team has also been very helpful in building this with us live, which made it easy to get started. Review collected by and hosted on G2.com.

We have a lot of data in Gong, but people have sometimes used it more through Claude than directly in Gong. The opportunity is making the more advanced workflows, especially forecasting, coaching and agents, easier to discover and adopt so Gong becomes part of everyone’s regular work, not only a library for calls. Review collected by and hosted on G2.com.

Gong’s AI notetaking has been a game-changer for me. With several external calls a day, it’s easy to lose track of what was said, but having every call recorded and transcribed means I can always go back and reference the details. The search functionality makes it simple to find exactly the part of a conversation I need, and I love being able to share snippets with internal teams for product feedback. It also makes it easy to send call recordings to clients when they want to revisit a discussion. Overall, it saves me time, keeps me organized, and ensures nothing slips through the cracks. Review collected by and hosted on G2.com.

Sometimes it can be tricky to ensure the recording joins when the call is initiated by the client, especially if the meeting is on Teams versus Zoom. Review collected by and hosted on G2.com.

It’s easy to invite to meetings, very easy to find calls and the tools it offers to view and analyze the calls are top-notch.

It’s one of the few good good use cases for AI. It’s transcription capabilities are very good and with the chatbot you can ask it anything and get a fairly accurate response with sources for you to manually verify.

Finally, their MCP server makes it even more capable. Review collected by and hosted on G2.com.

It’s a bit cumbersome to navigate and some features are weirdly fragmented across different menus. It’s also got a bit of a learning curve Review collected by and hosted on G2.com.

Call Analysis, Conversation Intelligence, and Sales Reports are indispensable in my role as an Outbound Sales Agent because they help me understand customer needs, identify objections, and improve my sales performance. Call Analysis helps me evaluate my calls and identify areas for improvement. Conversation Intelligence helps me understand customer behavior, recognize buying signals, and handle objections more effectively. Sales Reports let me track key performance indicators, measure my conversion rate, and identify trends in successful and unsuccessful calls. I also found the recordings and conversation summaries mostly reliable for capturing main points like needs, objections, and follow-up actions. Review collected by and hosted on G2.com.

Speech-to-Text, Natural Language Processing, and Access Controls/Permissions can be challenging. Transcription accuracy can be affected by different accents and mixed languages, and it can miss details when customers speak quickly or switch between languages, which can lead to misleading insights and makes it harder to catch and correct mistakes. Understanding the full context and intent of customer conversations is not always easy. Managing access to sensitive customer information also requires clear and reliable permissions to ensure data privacy and security. Review collected by and hosted on G2.com.

I like Opportunity Scoring because it uses AI and revenue signals to assess how likely a deal is to close successfully. It analyzes customer interactions, engagement levels, sales activity, and other deal signals to highlight which opportunities deserve the most attention, which helps with prioritization and allocating resources more effectively. The AI also helped by automatically summarizing a sales call and highlighting key risks and next steps, and recordings and transcripts were mostly reliable and useful for reviewing calls. Review collected by and hosted on G2.com.

Interactive Dashboards can sometimes feel cluttered, which makes it difficult to quickly spot the most important insights. Data Segmentation is time-consuming since creating, adjusting, and managing filters can be complex. Budgeting/Forecasting requires frequent updates and validation, especially when underlying data changes. AI recommendations also still need human review and context, and there were times it flagged a deal as risky even though recent customer interactions were positive. Transcripts had occasional errors that required manual verification. Review collected by and hosted on G2.com.