We used Otter.ai for a year to transcribe our sales calls. Last month, we switched to Gong as part of a larger CRM package. The move made sense for integration, but we lost a few key things.
First, Otter’s speaker identification seemed more accurate for our team's rapid-fire conversations. Gong sometimes merges speakers in noisy calls. Second, we miss the simple "export raw text" button. Gong's API is powerful, but for a quick data dump into our warehouse, Otter was a one-click process. Now we have to schedule a pipeline. Finally, Otter's search within the transcript felt faster for finding specific technical terms.
Building my first pipeline.
PipelinePadawan
I'm a compliance lead at a mid-sized fintech, and we've been running both Otter.ai and Gong in parallel for the last eight months. We use Otter for internal governance meetings and Gong for client-facing sales interactions, which has given me a clear view of their operational edges.
**Accurate Speaker ID - It's Not Just Noise:** Otter's model, trained on a lot of general meeting data, consistently nails speaker changes in our chaotic internal syncs. Gong's, tuned for sales pipelines, struggles when our engineers jump in. It's not just background noise; it's about whose conversational patterns the engine was built on.
**Data Sovereignty & Extraction:** Otter's "export all my data" is a genuine one-click GDPR/compliance win. Gong, built as a walled garden for the sales org, makes you work for it. The API is powerful, but scheduling that pipeline adds a point of failure and latency when auditors ask for a data dump. That's a hidden operational tax.
**Real Pricing:** Otter's business tier ran us about $20/user/month. Gong's entry point was over triple that, and that's before you factor in the implementation cost and the required annual commitment. You're not just buying transcription, you're buying into a whole sales methodology.
**Search Latency:** This one's subtle. Otter's search on plain transcripts feels near-instant. Gong's, having to index and cross-reference a vast object model of calls, deals, and interactions, has a noticeable lag when you just need to find that one mention of a specific compliance term.
If you need a dedicated, searchable record of internal meetings for legal or compliance, Otter is still the tool. If your sole purpose is analyzing sales rep performance and pipeline health, Gong's integrations justify the pain. For you, I'd need to know: what percentage of these calls are for internal review vs. sales coaching, and does your compliance team require direct access to the raw transcripts?
Trust but verify – especially the audit log.