A comparison of Granola, Fathom, and Otter.ai for independent consultants — what each does well, where they fall short, and how to use them in your proposal workflow.
If you're still taking manual notes during discovery calls, you're leaving valuable proposal material on the table.
The problem isn't note-taking itself — it's that splitting attention between listening and writing means you often capture your interpretation of what the client said, not the exact language they used. And exact client language is the most valuable raw material you have when writing a proposal. Proposify's analysis of 2.6 million proposals found that proposals using specific client language win 3x more often than generic templated ones.
AI meeting transcription tools solve this. You focus on the conversation. The tool captures everything.
Here's how the three tools most commonly used by independent consultants — Granola, Fathom, and Otter.ai — compare for the consulting workflow specifically.
General review articles compare these tools on a dozen dimensions. For a solo consultant whose primary use case is discovery calls and proposal writing, four things actually matter:
Transcript accuracy: How closely does the transcription capture what was said, especially with technical terminology?
Speaker differentiation: Can you quickly identify what the client said vs. what you said? This is critical for pulling out client language for proposals.
Summary quality: Does the tool's AI summary capture the key pain points, stated goals, and timeline signals — or does it surface generic meeting takeaways?
Export and integration: Can you easily get the transcript into your proposal workflow, whether that's copy-paste, a file export, or a direct integration?
Granola takes a different approach from the other tools: it doesn't use a bot that joins your meeting. Instead, it runs locally on your Mac and picks up audio from your system, which means nothing in the meeting changes for your client — no bot notification, no recording disclaimer from the tool.
Transcript quality: High. Granola is particularly strong at capturing natural conversation flow. Where some tools struggle with consultants who speak quickly or use industry-specific terms, Granola's transcription tends to hold up.
Speaker differentiation: Good. The interface makes it reasonably easy to identify who said what, which is useful when you're pulling out client language for a proposal.
Summary quality: Granola generates structured notes that organize highlights by topic rather than just chronologically. This is more useful for proposal prep than a raw time-stamped transcript.
Best fit for: Solo consultants on Mac who primarily use Zoom, Google Meet, or similar video platforms and want a frictionless capture experience without notifying clients.
Limitation to know: Mac-only. If you or your clients primarily use phone calls or non-video channels, the audio capture doesn't work as well.
Fathom is a notetaker that joins your Zoom or Google Meet call as a participant (the client sees a "Fathom Notetaker" in the meeting), records it, and produces both a transcript and a structured summary afterward.
Transcript quality: Very good. Fathom's transcription accuracy is strong, and it handles technical terminology better than most. The searchable transcript interface is clean and makes it easy to jump to specific moments in the call.
Speaker differentiation: Excellent. Fathom identifies speakers clearly, which makes it fast to extract the client's exact statements when building your problem statement.
Summary quality: Fathom's summaries are structured and segment by action items, key topics, and follow-ups. For consultants, the key topics section often maps directly to what you'd put in a proposal's problem statement and scope.
Best fit for: Consultants who primarily use Zoom and don't mind the notetaker joining. The free tier is genuinely useful, which makes it a low-barrier starting point.
Limitation to know: The Fathom notetaker appears in the participant list. Most clients are accustomed to this now, but some are not — worth mentioning at the start of calls.
Otter.ai is the most widely known of the three and has been around the longest. It can join meetings via its own bot or record directly through its mobile app.
Transcript quality: Solid for standard conversation, but can struggle with technical jargon or strong accents. For IT/security consultants who use specific terminology, accuracy varies.
Speaker differentiation: Good in the web interface, though identifying speakers correctly sometimes requires manual assignment, especially if multiple voices are similar.
Summary quality: Otter's AI chat feature (available on paid plans) lets you ask questions about your transcript, which is useful for extracting specific information — "what timeline did the client mention?" or "what were their main concerns?"
Best fit for: Consultants who want a well-established tool with mobile recording capability and a flexible Q&A interface for exploring transcripts.
Limitation to know: The free tier has moved toward more restrictive limits over time. The AI features that make it most useful for proposal prep require a paid plan.
| Tool | Platform | Client-visible bot? | Best for | |---|---|---|---| | Granola | Mac only | No | Frictionless capture, natural conversation | | Fathom | Zoom / Meet | Yes | Structured summaries, speaker clarity | | Otter.ai | Web + mobile | Varies | Established tool, flexible Q&A |
Having a transcript is only useful if you have a system for turning it into proposal content. For a complete walkthrough of this process, see How to Turn Discovery Call Notes Into a Proposal. In brief:
After the call, skim the transcript for the client's voice specifically. Look for the sentences where they described the problem, stated the outcome they wanted, or raised a concern. Copy these into a separate document.
Pull out any numbers. If the client said "this is costing us about 10 hours a week" or "we need to be ready by September," those belong in your problem statement and timeline section verbatim.
Note what they returned to more than once. Repeated themes are signals of genuine priority — not everything discussed is equally important.
Use this as your source material, not your notes. Your notes are filtered through your interpretation. The transcript is what they actually said.
PitchWright connects directly to this workflow. You paste in your transcript (or the exported notes from any of these tools), and it maps the client's language to the right proposal sections — problem statement, scope framing, investment context. The output uses their words, not generic filler.
Do I need to tell clients I'm recording the discovery call? Yes — in the US, recording consent requirements vary by state. In two-party consent states (California, Florida, and others), all parties must consent before recording. Best practice is to mention at the start of every call that you're recording for note-taking purposes and confirm no one objects. Most clients have no issue with this.
Can I use a transcription tool if my client uses their own recording? Yes. If the client is already recording (many Zoom accounts record automatically), you can request the transcript directly. Otherwise, a tool like Fathom or Otter.ai provides your own independent copy.
How long does it take to get a usable transcript after a 30-minute call? With Fathom and Otter.ai, transcripts are typically ready within 2–5 minutes of the call ending. Granola processes locally so it's available immediately after the call. All three are fast enough that you can have the transcript before you start writing the proposal.
If you're on a Mac and want zero friction: try Granola first.
If you're on Zoom and want the best structured summary output: Fathom's free tier is a strong starting point.
If you want mobile recording capability and an AI that can answer questions about your transcript: Otter.ai is worth the paid plan if you're doing more than a few calls per week.
All three are meaningfully better than manual notes for the purpose of proposal writing. Pick one and use it consistently for 30 days. The compounding benefit is in the habit, not the tool.
The PitchWright team writes about the practical side of winning consulting work — proposal structure, pricing strategy, and discovery call workflow.
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