Our small remote team has been evaluating AI notetakers for our weekly syncs and client calls. We've narrowed it down to MeetGeek and Fireflies, but we're hitting a wall on one crucial aspect: summary quality.
For context, we're five people across three time zones. Our meetings blend project updates, brainstorming, and technical discussions. We need summaries that accurately capture action items, key decisions, and technical nuances—not just a generic transcript highlight.
From our testing, MeetGeek seems to structure its summaries with clear sections like "Decisions Made" and "Next Steps," which is helpful. Fireflies, on the other hand, often pulls out what it deems "key points" but sometimes misses the subtle dependencies we discuss.
I'm leaning towards the tool that provides more consistent, actionable, and logically structured summaries for a team our size. Has anyone here conducted a similar comparison, especially for a small remote team? I'm particularly interested in how each tool handles the flow of a conversation with multiple participants and turns it into a useful, concise brief.
Keep it real, keep it kind.
I'm a data engineer at a 15-person remote ecommerce startup, and we've been using MeetGeek in production for about six months to handle summaries for our engineering standups, planning sessions, and vendor calls.
**Summary Structure Consistency:** MeetGeek's biggest win for us is its consistent template. Every summary has sections for Agenda, Key Decisions, Action Items, and Meeting Notes. It's predictable, which saves time. Fireflies felt more random, generating "Key Points" that sometimes missed the main technical decision and instead highlighted a secondary comment.
**Pricing and Hidden Costs:** For a team your size, MeetGeek runs about $15/user/month on its Pro plan, which you'd likely need. Fireflies has a free tier but caps transcription storage. Their paid plan starts around $10/user/month. The hidden cost with Fireflies is the extra curation time needed, as you often have to re-order or re-read its AI-generated bullets to get a logical flow.
**Integration and Setup Effort:** Both are trivial to set up by linking calendar accounts. The difference is in the output location. MeetGeek pushes summaries directly to a Slack channel of our choice automatically, which is where we live. Fireflies can do this too, but in my testing, the Slack notifications were less structured, often just a link to the full transcript.
**Where It Breaks / Limitation:** MeetGeek can sometimes over-summarize very technical, niche discussions, flattening nuances into generic statements. Fireflies, by not forcing a rigid template, can actually capture those oddball terms better, but then fails to prioritize them correctly in the summary. Neither is great at capturing subtle dependencies between action items unless someone states them very explicitly ("Because X is done, we can now start Y").
My pick is MeetGeek for your case, because you specifically value consistent, actionable structure over capturing every single nuance. If your absolute highest priority is preserving unique technical phrases verbatim and you don't mind manually reformatting the output, then Fireflies might be worth another look. To make the call clean, tell us how you plan to use the summaries (e.g., are they for immediate next-day action, or for long-term project documentation?) and which platform your team already uses more, Slack or email.
You're right about MeetGeek's structure. That consistency matters more than raw transcription accuracy for technical teams. The templated output forces a logical flow that matches how you run meetings.
Fireflies is better if you just want a searchable transcript. But for summaries you can immediately turn into Jira tickets or project docs, MeetGeek wins.
One caveat: Neither tool is great at catching nuanced dependencies in real-time brainstorming. You'll still need to manually add those context notes after the summary is generated.
The consistency you noted in MeetGeek's summaries is the primary factor for structured output. However, based on your need to capture technical nuances and dependencies, neither tool's current AI will fully automate that.
For your team size, I'd prioritize MeetGeek's template because it creates a reliable framework. You can then append those missed dependencies as manual notes in the designated "Meeting Notes" section. This creates a predictable, post-meeting workflow.
Fireflies' strength is in search and recall, not synthesis. If your meetings are highly discursive, its "key points" extraction becomes less reliable, increasing your manual editing time versus just filling in a consistent template.
Trust but verify. Then renegotiate.
You're zeroing in on the right differentiator. That predictable structure in MeetGeek isn't just about readability. It creates a forced data model for your meeting output. When you have a section labeled "Action Items," it's trivial to push those via an API to your task tracker.
Fireflies gives you a data dump. MeetGeek gives you a structured data feed, which is far more valuable for a small team that needs to operationalize outcomes without manual re-typing.
Neither will perfectly capture those nuanced dependencies, but a consistent template gives you a reliable place to add them manually post-call. With Fireflies, you're often restructuring the entire summary to add that context.
Integration is not a project, it's a lifestyle.
You're leaning in the right direction, but let's be clear: you're not comparing summary quality, you're comparing output structure. Neither tool's underlying LLM is sophisticated enough to reliably infer technical dependencies from a discursive conversation; that's a hard, unsolved problem.
What MeetGeek sells is a schema. It enforces a fixed template onto the conversation, which forces a form of post-processing. That's why it feels more actionable - the structure aligns with how you document outcomes. Fireflies does summarization as a post-hoc analysis of a transcript, which is inherently less reliable for synthesis.
For a five-person team where time zones make synchronous clarification hard, the forced schema wins. You trade off hoping the AI "understands" for the certainty of a consistent framework you can manually augment. The cost is that you might have to drag a nuanced point from the "Meeting Notes" section into the "Key Decisions" box yourself. With Fireflies, you're often building the entire framework from scratch.
—davidr
You mentioned needing summaries that capture dependencies and technical nuances. I'm in a similar boat, looking at these same tools for my team's project syncs.
When you say MeetGeek's structured sections are helpful, does that actually hold up for your brainstorming segments? That's where I worry a rigid template might force ideas into the wrong boxes, like putting a nuanced technical trade-off under "Decisions Made" when it's still just a discussion point.
Fireflies seems to struggle with picking the right "key points" for you. In your testing, was the issue that it missed dependencies entirely, or that it buried them in a long list of less important points?