Granola vs Fireflies AI, why we still pick Granola

A client with a 12-person sales team asked us last quarter whether they should run Granola or Fireflies on their calls. Two good tools, two different answers depending on what you're optimizing for. We use Granola every day at the agency. We've also run Fireflies.ai long enough to know exactly who it's built for. This post is the honest read on which one wins, and when. If you want the single-product take without the comparison layered in, our standalone Granola review covers what it does well and where it falls short.

We're Market Correct, a performance marketing agency that runs Google Ads, paid social, and programmatic for B2B and consumer brands. Our days are stacked with calls. Discovery calls, campaign reviews, creative kickoffs, vendor meetings. The notetaker we run decides whether any of that conversation sticks. We already picked Granola over Otter in our Granola vs Otter comparison and walked through the Fathom matchup in our Granola vs Fathom comparison. This is the Fireflies side, and it's a different kind of comparison.

Here's the short version up top. Granola and Fireflies both capture meetings and write AI summaries, but they're aimed at different buyers. Granola is an operator's notetaker. The notes are for you, the capture is invisible, and the AI layer plugs into Claude Code. Fireflies is a sales platform that happens to take notes. It records with a bot, logs every call to your CRM, and runs conversation intelligence across your team. For our agency work, Granola wins. For a sales org living in Salesforce or HubSpot, Fireflies is the stronger call. The rest of this post is the detail behind that split.

Winner by use case

Not every meeting is the same shape, and the two tools split cleanly by job. Here's how we'd call it across four common scenarios.

Why we run Granola

We installed Granola for one reason. Nobody on the other side of our calls would know it was there. That was the starting criterion and it was enough. Everything else Granola got right, the summaries, the templates, the MCP server, came after we'd already committed on the capture model alone.

Running a service business means the quality of your conversations sets the ceiling on the work. When a prospect on a discovery call sees a third-party bot like Fred sitting in the participant list, the conversation changes. Sometimes obviously, sometimes just a slight tightening. The candid admissions about their current agency, their real budget, what's actually broken in their funnel, come easier when the room feels private. Granola keeps it private. The recording happens, the summary appears, and nobody had to ask what the extra attendee was.

The second reason is the template system. We run a different note structure for a prospect discovery call than for a weekly client review than for an internal campaign audit. Granola lets us define what the AI should pull for each type. Decisions in one section, action items in another, open questions in a third. The output is scannable the second we open it. Over six or seven calls a day, that structure compounds. We're not hunting through a wall of text for what mattered.

The third reason is Claude Code. We covered this in our Granola and Pocket review, but the short version is that Granola publishes an MCP server. Once registered with Claude Code, we can ask Claude to search across every transcript we've ever captured. "Find the call where the client said they wanted to test LinkedIn" stops being a scroll-through-the-archive problem and becomes a one-line question. Fireflies has its own in-app assistant for this. It doesn't open your transcripts to an outside agent the way an MCP server does.

What Fireflies does well

Fireflies isn't a backup pick. For the right buyer it's the better tool, and pretending otherwise would make this post useless. It's built for a job Granola doesn't try to do.

The CRM integration is the headline. Fireflies auto-writes call notes, action items, and fields into Salesforce, HubSpot, Pipedrive, and dozens of other tools. For a sales team that lives in a CRM, having every call logged to the right contact record without anyone lifting a finger is a real productivity win. Granola's integration story is strong on the AI side. Fireflies' is strong on the CRM side, and for revenue teams that's the side that pays.

The conversation intelligence is the other big one. Fireflies tracks talk-time ratios, sentiment, monologues, and topic trackers across calls. A sales manager can review a rep's calls, spot where deals stall, and coach from the data instead of from memory. This is revenue-intelligence territory, closer to Gong than to a plain notetaker. Granola doesn't do any of it, on purpose. It's a notetaker, not a coaching platform.

AskFred is the Fireflies AI assistant. You can ask it questions across your meetings, draft follow-up emails, and pull action items, all inside Fireflies. It also supports 100+ languages and ships a mobile app that records in-person conversations, which is broader device coverage than Granola offers. The product ships fast and the feature set is deep.

• Native Salesforce, HubSpot, and Pipedrive sync, plus dozens of app integrations
• Conversation intelligence, with talk-time, sentiment, and topic trackers for coaching
• AskFred AI assistant for cross-meeting questions and follow-up drafts
• Soundbites, smart search, and a shared team meeting library
• 100+ language support and a mobile app for in-person capture

Summary quality, the actual difference

The transcript is table stakes. Both Granola and Fireflies transcribe accurately enough on clean Zoom, Meet, or Teams audio. Neither is perfect on heavy accents or overlapping speakers. The product isn't the transcript. It's what the AI builds from it. The summary, the action items, the structured output that gets re-read the next morning.

Granola's summaries use a template system. We set up a template per meeting type. A discovery call template tells the model to pull the prospect's current tools, budget range, pain points, and next steps. A weekly client review template pulls decisions, campaign changes, and open blockers. The output matches the meeting because we told the model what to look for. Granola also merges the shorthand you type during the call into the summary, so your own signal survives instead of getting flattened.

The Fireflies AI Super Summaries are strong, but they're shaped around the sales call. Action items, topics discussed, questions, and CRM-ready fields. For a sales team, that structure is exactly right. For an agency running five different meeting types in a day, a fixed sales-call format fits some calls and stretches over others. The split isn't quality, it's shape. Granola lets you define the shape. Fireflies optimizes one shape extremely well.

One thing worth being specific about. Both tools are AI-generated and both miss things sometimes. The difference isn't that Granola is flawless. It's that Granola's mistakes are easier to catch because the template puts information in predictable places. When the action items section is always the second block, you learn to scan it fast.

AskFred vs the MCP and Claude Code story

This section won't matter to everyone. For the people it matters to, it's the entire decision.

MCP is the Model Context Protocol, an open standard from Anthropic that lets AI tools connect to external data sources through a small server program. Granola publishes an MCP server. Claude Code is Anthropic's CLI for working with Claude in the terminal. Register Granola's MCP server with Claude Code and every transcript and summary becomes searchable from inside Claude.

That changes the working pattern. We don't open an app to search meeting history. We ask Claude. "What did the client say about their Q3 budget in last Tuesday's call?" Claude searches the transcripts, pulls the passage, and answers. The notes stop being something you scroll through inside one product and become part of a queryable knowledge base behind every AI workflow you have.

Fireflies answers this with AskFred, its own AI assistant. AskFred is genuinely useful and it lives where your sales data lives, inside Fireflies and your CRM. The distinction is who owns the AI layer. In the Fireflies model, the intelligence stays inside Fireflies. In the Granola model, the transcripts are exposed to your agent, so Claude can reason across them alongside everything else it touches. If your primary interface for knowledge work is already Claude, Granola's model is the one that fits. If it's a CRM, the Fireflies model is.

We wrote up the full MCP setup and the rest of our Claude Code workflow in our Granola and Pocket review. The short version is that the MCP server is a small step to set up and a big change to how you use your meeting history.

Pricing and free plans

Both tools are freemium, and the free tiers are capped differently. The difference matters depending on your volume and what you need from the AI.

The Fireflies free plan gives you a limited number of AI meeting summaries and transcription credits per month plus limited storage. The paid tiers, Pro and Business, open up unlimited transcription, the conversation intelligence suite, and the CRM integrations. You're not paying for notes on the paid tiers. You're paying for a sales platform. For a revenue team, that bundle is the point.

The Granola free plan caps the number of fully-processed meetings per month. If you're in three meetings a day, you'll hit that within the first two weeks. The paid tier opens the full experience, priced as a notetaker rather than a sales suite. For the volume we run, it's worth it.

Here's the honest framing. If you need conversation intelligence and CRM sync, you're comparing a notetaker to a sales platform, and the price gap reflects that. If you just need clean meeting notes for yourself, Granola's paid plan does the job without paying for analytics you won't use. Pricing moves on both, so check fireflies.ai and granola.ai for current numbers.

Where each one falls short

Every tool has gaps. Pretending they don't is the move that makes a comparison piece useless. Here are the honest ones.

Where Granola falls short

• No native CRM auto-sync. It won't write calls into Salesforce or HubSpot the way Fireflies does.
• No conversation intelligence. No talk-time, sentiment, or coaching analytics for a sales manager.
• Free plan caps meetings. Heavy users hit the limit fast.
• Fewer languages than Fireflies and no in-meeting analytics during a live call.
• No native Android app yet. iPhone and desktop only.

Where Fireflies falls short

• The Fred bot joins as a visible participant. Some prospects notice and it shifts the room.
• Summaries are shaped around the sales call and less flexible across other meeting types.
• No MCP server for Claude Code, so transcripts stay inside Fireflies and your CRM.
• Capture depends on the bot. If the host blocks bots, Fireflies doesn't record.
• The full platform can be overkill for a solo operator who just wants clean notes.

If you look at those two lists and the Granola gaps hurt more, Fireflies is your pick. For us, the Fireflies gaps hit harder, because the bot visibility, the summary flexibility, and the Claude Code connection are the three things we care about most. Different teams, different priorities.

The bottom line

For our work, Granola wins. We've run it on every client call since we installed it, we'd pick it on a fresh setup tomorrow, and we'd pick it without the affiliate program.

The reasons, in order. The no-bot capture stays invisible to everyone on the call. The template summaries match the way we actually work and keep our own notes in the mix. The MCP server puts every transcript a Claude question away. None of that is what Fireflies is optimizing for, and that's the point.

Fireflies deserves a serious look from a different buyer. If you run a sales team in a CRM, the auto-logging to Salesforce or HubSpot, the conversation intelligence, and the cross-team call library are worth real money. AskFred is a capable assistant. For a revenue org, Fireflies is the stronger tool and we'd tell you so on a call.

If you're an operator or an agency and you're going to try one, start with Granola's free plan. Run it on three real meetings and read the summaries the next morning. If they read like someone who was in the room organized the notes for you, you'll know. If you want to see how we run Granola alongside a wearable mic for conversations a laptop can't reach, that's in our Granola and Pocket review. For the full field including Otter, Pocket, and Plaud, the AI note taker ranking covers it.

For the client work side, look at Google Ads, paid social, programmatic, or just talk to us.