Granola vs Fathom AI, why we still pick Granola

A client asked us last month which AI meeting tool they should buy for a 12-person sales team. They'd narrowed it to two finalists, Granola and Fathom AI, and wanted an honest read from a team that uses this stuff every day. We told them to pick Granola. This post is the longer version of that answer, with everything we glossed over in a five-minute phone call.

We're Market Correct, a performance marketing agency that runs Google Ads, paid social, and programmatic for B2B and consumer brands. Our working days stack up with calls. Discovery calls, campaign reviews, creative kickoffs, vendor meetings. The AI notetaker we run is the tool that decides whether any of that conversation sticks. We've tried most of the serious ones. We already picked Granola over Otter AI in our Granola vs Otter comparison, and this is the same honest look at the Fathom side.

Fathom is a real product built by a real team. It has a killer free plan, clean design, and a growing user base. But when we put both tools head to head across actual client work, Granola kept winning on the things that matter most to a working agency. The summaries. The capture model. The Claude Code integration. That's the whole story. The rest of this post is the detail behind it.

Winner by use case

Not every meeting is the same shape. 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 the conversations you have determines the quality of the work you produce. When a prospect is on a discovery call and they see a third-party bot in the participant list, the conversation changes. Sometimes obviously, sometimes just a slight tightening. The things they'd say candidly about their current agency, their real budget, what's actually broken in their funnel, those admissions come easier when the room feels private. Granola keeps it feeling private. The recording happens. The summary appears. Nobody had to explain what the extra participant was.

The second reason is the template system. We've got 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 look for in each type. Decisions go in one section. Action items in another. Open questions in a third. The output is scannable the moment we open it. Over six or seven calls a day, that structure compounds. We're not re-reading walls of text trying to find what matters. The template already separated it.

The third reason is Claude Code. We covered this in detail 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 meeting transcript we've ever captured. "Find the call where the client said they wanted to test LinkedIn" isn't a scroll-through-the-archive problem anymore. It's a one-line question. Fathom doesn't offer this. That alone closes the conversation for anyone already running an AI-native workflow.

What Fathom does well

Fathom isn't just a backup pick. It's a legitimate product with real strengths, and pretending otherwise would make this post less useful.

The free plan is the headline. Fathom gives you unlimited recording and transcription on the free tier. That's not a trial. That's the product. For a solo founder or an early-stage team that's recording 20 meetings a week and doesn't want to pay for anything yet, Fathom's free plan is the most generous offer in the AI notetaker space. Granola's free plan caps the number of meetings per month. On volume alone, Fathom wins at $0.

The UX is clean. Fathom's interface is well-designed, the onboarding is fast, and the CRM integrations (Salesforce, HubSpot) are first-class. If your team already runs on one of those CRMs and you want meeting summaries pushed into contact records automatically, Fathom has built that path thoughtfully. Granola's integration story is stronger on the AI side (MCP, Claude Code), but Fathom's integration story is stronger on the CRM side.

The in-meeting highlight feature is something Granola doesn't do. Fathom lets you mark moments during a live call and clip them afterward into a shareable library. For sales teams that use call recordings for coaching, or for companies building an internal library of customer conversations for onboarding, the clip workflow is a real feature. Granola is built around the post-call summary, not the during-call experience.

Fathom also ships fast. The product has improved visibly over the months we've watched it. The team behind it is small, opinionated, and responsive to user feedback. That's worth naming because it means Fathom's current gaps could narrow. We're comparing the tools as they stand today. A year from now the gap might look different.

• Unlimited free recording and transcription
• Native Salesforce and HubSpot integrations
• In-meeting highlight clips and playlists
• Clean, fast UX with quick onboarding
• Active development with visible month-to-month improvements

Summary quality, the actual difference

The transcript is table stakes. Both Granola and Fathom transcribe accurately enough on clean Zoom, Meet, or Teams audio. Neither is perfect on heavy accents or overlapping speakers, but both are good enough to act on. The product isn't the transcript. The product is what the AI builds from the transcript. The summary. The action items. The structured output that gets re-read tomorrow morning.

Granola's summaries use a template system. We set up templates per meeting type. A discovery call template tells the model to extract 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. Six months of templates later, we open a Granola summary and the notes feel like they were written by someone who was paying attention to the right things.

Fathom's summaries are clean and readable. They pull out action items. They organize the conversation into sections. But the structure is closer to a fixed format than a flexible template. The output is competent across all meeting types, but it doesn't adapt to the specific shape of a discovery call vs. a campaign review vs. an internal planning session. For a team that runs one type of meeting, that's fine. For an agency that runs five different types of meetings in a day, the template-based model wins by the third call.

One thing worth being specific about. The summaries from both tools are AI-generated. They both miss things sometimes. They both hallucinate a detail once in a while. The difference isn't that Granola is flawless. The difference is 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. When the output is a generic blob, your eyes have to hunt.

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 tool for working with Claude directly in the terminal. Once you register Granola's MCP server with Claude Code, every meeting transcript and summary becomes searchable from inside Claude.

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

Fathom has integrations. It pushes summaries to Slack, Salesforce, HubSpot, and others. Those are legitimate connections and they're useful for teams running on those platforms. None of them are the same thing as an MCP server registered inside Claude Code. The distinction is who's asking the question. In Fathom's model, the meeting data goes to the CRM and lives there. In Granola's model, the meeting data stays accessible to your AI agent and answers questions on demand. If your primary interface for knowledge work is already Claude, Granola's model is the one that fits.

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 significant change to how you interact with your meeting history.

Free plan reality check

Both tools have free plans. They're structured differently, and the difference matters depending on how many meetings you take.

Fathom's free plan gives you unlimited recording and transcription. That's the real headline. You can record every meeting, every day, for as long as you want, at $0. The free plan doesn't give you the full AI summary experience on every call, but the recording and basic transcription are uncapped. For a solo operator or an early-stage team that's price-sensitive but meeting-heavy, Fathom at free is an easy starting point.

Granola's free plan is more constrained on volume. You get a set number of fully-processed meetings per month. If you're in three meetings a day, you'll bump into that limit within the first two weeks. The paid tier opens up the full experience, and for an agency running the volume we do, it's worth it. But we won't pretend the free plan scales to heavy use the way Fathom's does.

Here's the honest framing. If you're choosing entirely on free-tier generosity, Fathom wins. If you're choosing on what the paid experience looks like once you're past the free tier, Granola wins. Most people who are seriously evaluating AI notetakers for a team are going to end up on a paid plan anyway. The free plan is the starting point, not the destination.

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

• Free plan caps meetings. Heavy users hit the limit fast.
• No in-meeting highlights or clipping during a live call.
• CRM integrations lag behind Fathom's native Salesforce and HubSpot connections.
• Team workspace features are newer and less mature than Fathom's shared library.
• No native Android app yet. iPhone and desktop only.

Where Fathom falls short

• Bot joins as a visible participant. Some prospects and clients notice and it shifts the room.
• Summary structure is less customizable than Granola's template system.
• No MCP server for Claude Code or any equivalent AI agent integration.
• Capture depends on bot joining. If the host blocks bots, Fathom doesn't record.
• Spontaneous calls get missed if you don't invite the bot ahead of time.

If you look at those two lists and the Granola gaps hurt more than the Fathom gaps, Fathom is your pick. For us, the Fathom 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

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 model stays invisible to everyone on the call. The template-based summaries match the way we actually work. The MCP server puts every transcript a Claude question away. The product ships improvements fast enough that the experience keeps getting better without us doing anything.

The reasons Fathom still deserves a serious look. The free plan is the most generous in the space. The CRM integrations are thoughtful. The highlight clips are something Granola doesn't offer. The product team ships fast and the UX is clean. If your primary constraint is budget and your meeting volume is high, start with Fathom's free tier and evaluate from there.

If you're going to try one, start with Granola's free plan. Run it on three real meetings. 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 hardware mic for the conversations a laptop can't reach, that's in our Granola and Pocket review. And if you want the full AI note taker ranking including Otter, Pocket, Plaud, and the rest, we've written that up too.

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