Gong alternatives for European teams: nine checks before you switch

“Gong alternative” is three different searches: some teams need conversation intelligence with a smaller invoice, some have outgrown Gong’s forecasting and want deeper pipeline analytics, and some have realized their real gap was never the recording but what happens to the deal after the call.

Quick answer: the best Gong alternative depends on what you’re replacing. For conversation intelligence, compare tools such as Chorus, Avoma, Modjo, and Jiminny. For revenue analytics and forecasting, look at Ebsta, Kluster, or Clari. If your problem is also what happens after the call rather than analyzing the call itself, evaluate deal execution tools and AI sales co-workers instead. Whichever lane you land in, compare eight things: the job to be done, coexistence, data residency and security, CRM depth, output delivery, post-insight execution, total cost, and recording architecture.

Most of these searches start the same way: renewal is approaching, the invoice has grown with the team, the stack around it has grown too, and someone in RevOps experiencing tool fatigue is asked whether the spend still matches the value. Sometimes it does. Gong is genuinely good at what it built its name on: recording conversations and turning them into coaching insight. The question is rarely “is Gong bad.” It’s “is this the job we still need done, at this price, with this stack.”

• Conversation intelligence. Recording, transcription, talk ratios, coaching analytics. If this is the scope of the job, your alternatives are other call-recording platforms, and the evaluation is mostly about transcript quality and price.
• Revenue analytics and forecasting. Pipeline visibility, deal warnings, forecast categories. Here you’re comparing revenue-intelligence platforms, and CRM depth will matter when making the decision.
• Deal execution. The work that moves a live deal forward between conversations: the follow-up written, the business case built, the mutual action plan kept current, the CRM updated to match what was actually agreed. In most teams that work waits for the rep’s spare time, which is why it shows up as the follow-up that doesn’t get written, the CRM that doesn’t get updated, and the plan nobody maintains. Recording platforms are adding agent features at the edges, but doing this job end to end, proactively rather than on request, is a different category (AI sales co-workers) that happens to consume the same calls and emails.

Some teams looking for a Gong alternative actually mean the third job: they bought insight and expected work. If that’s you, an alternative that does the same job cheaper will disappoint you at a lower price.

Unranked, and by category only; the nine checks below are how you rank them for your own case.

• Conversation intelligence: Chorus and Avoma are the familiar names, and for European buyers, the Europe-built options matter here: Modjo (France, with Paris-region data hosting) and Jiminny cover the same lane with EU-friendlier answers to check 3.
• Revenue analytics and forecasting: Europe is better represented here than the usual lists suggest. Ebsta (London, revenue intelligence) and Kluster (London, revenue forecasting) are both Europe-built. Clari, now merged with Salesloft, is the US enterprise reference point, typically priced a tier above mid-market. And Gong’s own forecasting module remains the staying-put option as well.
• Deal execution: the AI sales co-worker category is new, and we are building in it, so the one name we’ll put forward is our own: Optivian, compared against the same nine checks in the “Where Optivian fits” section at the end.

1. Which job are you replacing?

Write down the three moments you most wish the current platform had helped in the last quarter. If they’re coaching moments, you need conversation intelligence. If they’re “the deal stalled, and nobody noticed,” you need execution. The shortlist shapes from the answer, not from the category the vendor claims.

2. Can it coexist before it replaces?

Switching costs are highest when you lose the history. Ask whether the new platform can import your existing call transcripts so the history carries over. A vendor that requires a clean break is asking you to pay the switching cost up front; one that can coexist lets you evaluate with your real data before any contract ends.

3. Where does your data live, and who certifies it?

For European buyers, this check ends evaluations. What your legal team will actually verify is terms, not geography: which certifications the vendor holds today (a completed ISO 27001 or SOC 2 Type II; “in progress” is not a certification), how sub-processors are documented and under what transfer mechanisms, and whether the contract commits that your data never trains anyone’s models. If your organization additionally requires EU-only processing, establish that up front, because it shortens every shortlist. Either way, ask these questions first; evaluations move faster when legal isn’t the last stop.

4. How deep is the CRM integration, really?

“Integrates with Salesforce and HubSpot” covers everything from a browser widget to true bidirectional integration. The questions that make the difference: what it can read (deals, contacts, emails, and notes, or only the calls it records), what it can write back, and how much control you have.

5. Where does the output land?

A dashboard reps must remember to visit competes with their inbox and loses the race for attention. Sales reps describe the failed version identically everywhere: tools that demand input and never deliver output. Ask to see exactly what a rep receives on an ordinary Tuesday. Unprompted, in the tools they already use, whether that’s Slack, Teams, email, or the CRM itself. If the answer is “they log in,” adoption will be your problem, and adoption is probably one of the reasons why the current platform is being questioned now.

6. What happens after the insight?

This is the check that separates categories. Check 5 is about distribution: does the intelligence reach the rep? This check is about execution: does the system prepare and do the work, or only report that there is work to do? “This deal is at risk” is an insight asking for work. The re-engagement email drafted and waiting for the rep is doing the work. Ask the vendor to walk through one full loop: signal detected, then what, produced by whom, delivered where. If your problem is execution rather than visibility, AI that only surfaces the work leaves the original bottleneck in place.

7. What does it actually cost, all in?

Pricing models in this market vary: per-seat licenses, platform fees, onboarding, usage tiers, and combinations of all four. Model the real number at your team size and usage today, and again at next year’s. Then ask the harder question: what does the price actually buy? Seat-based pricing bills for access whether or not the seat produces anything, which is worth weighing against check 5, because a paid login nobody uses is the most expensive kind of shelfware. After that, run the math from the opposite direction: what does the new platform let you cancel? The honest consolidation math counts only tools it fully replaces on day one.

8. Native recorder, or someone else’s?

Easy to forget in a Gong evaluation: the recorder is part of what you would be cancelling. Whatever comes next has to answer where your call recordings and transcripts come from, and the answers differs: some platforms record meetings themselves, others assume you to have a tool for that or buy a separate recorder and import from it. Neither is wrong, but the second quietly adds a line item back into check 7’s math. If the vendor’s answer to “how do you capture calls” is another vendor, your consolidation story becomes harder to justify.

9. What happens when the AI is wrong?

Any platform in this space will sometimes get something wrong on a call. The difference is what that costs you. Scores should come with reasons a human can inspect, and anything that writes to your CRM should show its proposed change for approval before the record moves. If errors write silently, the first wrongly moved deal costs you the team’s trust in everything the tool does, and you’re back to managing by hallway conversation.

If your job is coaching a large team on call quality, your deals are high-volume and call-centric, and the cost meets the value, staying put is a legitimate outcome of this evaluation.

We build for the third job. What follows is our answer to the same nine checks.

Optivian gives your team Ollie, an AI sales co-worker for complex B2B deals, built in Helsinki, Finland, on a persistent deal intelligence layer. As each email, call, and meeting lands, Optivian reads it and keeps a live picture of every deal; Ollie acts on that picture: drafting follow-ups, business cases, and mutual action plans, flagging deals going quiet, and proposing CRM updates (stage, amount, close date, each with the reason) in Slack or Teams for the deal owner to approve.

Optivian can record and analyze meetings natively; transcripts from other recorders that are synced to your CRM are imported and processed the same way, so coexistence is the default path, not a migration. On check 3, Optivian is ISO 27001 certified. On check 4, the Salesforce and HubSpot integrations are native; every write has its own admin control.

We’re built for teams of ten or more sellers running multi-stakeholder deals, where the gap isn’t knowing what happened on the call but moving the deal after it. If your evaluation is really about cheaper recording and coaching, check 1 will rule us out: that’s a different job than the one we’re built for.

At Supermetrics, Optivian and Ollie got 96% weekly active users across the sales team soon after roll-out.