Rippit vs. Granola for Conversation Analysis and Agents (2026): Differences, Pricing, and When to Use Both
Short answer: Granola is an AI notepad for capturing meeting transcripts, notes, and actions, without a meeting bot.[1]
Rippit is built for one job: analyzing and acting on every customer conversation at scale.[2] It reads every conversation customers have with your company, across sales, support, success and chatbots, turns what it finds into structured data,[3] and runs AI agents that monitor, analyze and act on that data.[2] Any team can define a new field in plain English, combine it with others and keep drilling until it reaches the root cause.[4]
Many teams use both: they keep Granola for meeting notes and connect it to Rippit with a direct, one-click integration[5] to ask questions across the whole customer journey. Rippit has a free plan.[6] Granola has a free plan too, with paid plans priced per user.[7]
Where Granola and Rippit overlap is in analysis you build on top of meeting conversations.
Rippit vs. Granola at a glance
| CRITERIA | Granola | Rippit |
|---|---|---|
| What is it? | AI notepad for meetings: notes, actions and memory, without a meeting bot[1] | AI conversation analytics and agents for every team[2] |
| Primary team | People in back-to-back meetings, with shared folders for team collaboration[1][7] | CX, support, sales, product and customer success teams |
| Starting point | Meetings on Zoom, Google Meet, Teams, Huddles or in person, captured from your device's audio[1] | The conversations you already have: tickets, calls and chats, including the meetings you capture in Granola, through a direct, one-click integration[5] |
| Conversations covered | Meetings and calls you capture with the app.[1] Granola Chat accesses your meeting data and files you add, not your emails[8] | Granola meetings alongside support tickets, chats, sales and CS calls, in one analysis[5] |
| Best fit | Anyone who wants clean notes, follow-ups and answers from their own meetings | Large-scale analysis and agents across every conversation your company has, for CX, sales, and support leaders |
| Conversation analysis | Transcribes meetings into AI notes, with AI chat within and across meetings[7] | The core product. AI enriches every conversation with fields such as intent, root cause and resolution[4] |
| How teams use the data | Take notes, chat across meetings or folders,[8] and send notes to tools like Notion, HubSpot and Attio[7] | Describe the insight you want, and Rippit adds it as a field across every conversation (root cause, churn risk, resolution).[4] Reuse it in dashboards and follow-up questions, and deploy AI agents to act on findings - leverage MCP connections to send to Linear, Jira, Slack, and any other MCP destination |
| Custom analysis | Custom note templates,[7] and Recipes: saved, static prompts for questions you ask often[9] | AI tags every conversation across 10+ dimensions, such as intent, root cause, churn signal and resolution[4] |
| What gets scanned, analyzed and acted on | Chat can query all your notes, a shared folder or meetings you select;[8] Granola doesn't document how many meetings a single answer draws on | 100% of conversations in scope, with nothing sampled[6][2] |
| How it handles large datasets | Agentic chat works across your meeting notes, including themes across hundreds of calls[10] | Stores every conversation as structured, queryable data[3] that agents and people can enrich and aggregate across the full dataset |
| Traceability | Chat answers include inline citations to the notes they draw on[10] | Every result is a field on a specific conversation,[3] and each analysis step is documented, so any answer can be audited |
| Repeatability | Recipes let you rerun a saved prompt without retyping it[9] | Turn any analysis or action into a repeatable Agent App that runs itself[2] |
| Setup | Self-serve, with a free Basic plan that shows the last 30 days of meeting history[7] | Self-serve. Connect Zendesk, Intercom, Gong and Granola in one click[5] and go live in minutes[2] |
| Works with Granola | Granola is where these meetings are captured | Direct, one-click Granola integration, so meetings sit next to support tickets, chats and sales calls[5] |
| Works with Claude | Official Granola MCP connects Claude, ChatGPT and other AI tools to your meeting notes[11] | MCP Server so Claude, Codex, Cursor, and more can query your conversation data directly |
| Public pricing | Basic $0; Business $14 per user/month; Enterprise $35 per user/month[7] | Free (includes $100 in AI credits); Starter $185/mo; Growth $495/mo; custom Enterprise[6] |
| Best starting question | "What did we agree to in this meeting, and what happens next?" | "Did what we promised in sales show up as friction in support?" |
What's the difference between Rippit and Granola?
Granola helps people capture and use what was said in their meetings. Rippit helps CX, support, product and CS teams understand every conversation a customer has with the company, before and after the sale including chats, emails, surveys and reviews.
Granola calls itself "the AI notepad for back-to-back meetings."[1] It uses your computer's audio instead of a meeting bot, works with Zoom, Google Meet and Teams,[1] and turns each meeting into AI notes you can chat with, share and send to other tools.[7]
Rippit is AI conversation analytics and agents, built for scale.[2] It connects to your helpdesk and conversation tools, analyzes every conversation,[2] and turns what it finds (intent, root cause, sentiment, churn signal, resolution) into fields you can filter, trend and build on.[4] Agents then monitor those fields, analyze them and act on what they find.[2]
Take a customer who hears on a Zoom call that migration takes a week. Granola captures the promise in the account manager's notes. Three months later, that customer filed four tickets about a stalled migration. With Granola meetings and support tickets in one place, Rippit counts how often a promise made in a meeting turns into support friction, which promise causes it, and whether it's getting worse.
- Customer wants to move off their old tool this quarter
- Migration takes a week
- Next step: send the migration guide
How does Rippit analyze every conversation?
Rippit runs an AI engine built to label conversations in bulk: AI enriches every conversation[2] and stores the results as structured, queryable data,[3] so analysis and agents can work across all of it. Rippit says it can analyze 10,000 conversations in one minute for under $1.[2] Questions then run on those stored fields across the full dataset, instead of rereading transcripts each time. For open-ended questions no existing field answers, Rippit also runs ad hoc deep dives[3] on up to 10,000 conversations at a time, and what they find can feed new analysis and agents.
That changes three things:
Can you use Rippit and Granola together?
Yes. Rippit has a direct, one-click Granola integration, and it also connects to Zendesk, Intercom and Gong, so meetings sit next to support tickets, chats and sales calls in one analysis.[5] You keep Granola for note-taking and follow-ups, and use Rippit to ask questions that span the whole customer journey. Rippit does the mass-scale enrichment, analyzing every conversation in scope[2] and storing each judgment as a field on that conversation,[4] and runs ad hoc deep dives on up to 10,000 conversations at a time for questions no existing field answers yet.[3]
Using both fixes two common gaps:
- Meeting notes and support conversations live in different tools. Granola holds what was said in meetings, and your helpdesk holds what happened after. Rippit brings the ticket and chat history into the same analysis as the meetings.[5]
- Churn signals show up after the handoff. Checkr combined Rippit with Snowflake operational data to find churn signals.[12] Brex feeds predicted CSAT and churn signals from Rippit into its customer success workflows.[13]
How is Rippit's analysis different from Granola Chat?
Granola Chat answers questions about your meetings. It can query all your notes, a shared folder or a set of meetings you select,[8] and its agentic chat can analyze themes across hundreds of calls, with inline citations.[10] Recipes save prompts you ask often, as static templates.[9] On the free Basic plan, chat covers the last 30 days of notes.[8]
Rippit starts from a plain description of the insight you want and adds it as a field across every conversation.[3] One pass tags each conversation across 10+ dimensions, including intent, root cause, sentiment, urgency, churn signal and resolution, and a new category applies to past conversations in a single run.[4] Because each result is stored as a field, you can count it, trend it and filter by it instead of asking again. For cross-journey questions, you define a field like "promise made in sales" or "onboarding friction" once and read it across meetings, calls, tickets and chats.
This speed pays off with unplanned questions. When Checkr's CEO asked a late-night question about background check issues in a specific state, the team delivered a detailed report by the next morning.[12]
Do Rippit and Granola have MCP servers?
Yes. Rippit supports MCP, so AI assistants like Claude can query your conversation data directly.[14] You ask in Claude, and Rippit runs the analysis across your full conversation dataset.[15]
This matters at scale. A general-purpose assistant can only hold a limited amount of text in its context window at one time,[16] so on its own it has to sample, split or summarize large sets of conversations. Rippit runs the analysis across every conversation and gives Claude the results, so every number traces back to specific conversations.
Granola also offers an official MCP server that connects Claude, ChatGPT and other AI tools to your meeting notes.[11] Its tools search meetings, read notes and pull transcripts, and on the free plan it covers personal notes from the last 30 days.[11] Use Granola's server for questions about your meetings, and Rippit's for analysis across every conversation.
How much do Rippit and Granola cost?
Rippit publishes its pricing. Paid plans bill AI credits at cost.[6]
Granola also publishes its pricing. Basic is free, with 30 days of meeting history. Business is $14 per user/month, with unlimited history, API access and integrations like Notion, HubSpot, Attio and Zapier. Enterprise is $35 per user/month and adds SSO, usage analytics and Salesforce.[7] Because the products do different jobs, compare each against its own use case: Granola against the number of people taking notes, Rippit against the conversation volume you want analyzed.
What do teams use Rippit for?
- Brex replaced manual QA sampling with AI review of 100% of conversations and found churn risk in 3% of them. It built custom AI classifiers for onboarding friction, product gaps, sentiment and competitors, and feeds predicted CSAT and churn signals into CSM workflows.[13]
- Checkr broke dissatisfaction down into specific "atomic problems" and combined Rippit with Snowflake operational data to find churn signals. Checkr says its time from insight to action went "from weeks to hours."[12]
- Klaviyo went from reviewing fewer than 2% of its 600,000+ annual support incidents to analyzing 2.5 million conversations that had never been looked at. It analyzed a full month of product-launch conversations in two hours and uses Rippit for churn pattern analysis and chatbot performance monitoring.[17]
When should you choose Granola, Rippit, or both?
You want clean notes, follow-ups and answers from your own meetings, without a bot joining the call. For those workflows, Granola is the better choice.
Your best customer signal is in support tickets, chats, sales, and CS calls, and you want business users to ask new questions across every conversation, not one meeting at a time.
Your team takes notes in Granola and wants to know what happens after the meeting: whether promises show up as support friction, which accounts show churn signals, and why.
Frequently asked questions
Is Rippit a Granola alternative?
Not for taking meeting notes. Rippit complements Granola by analyzing meetings alongside support tickets, chats, sales and CS calls.[5]
Does Rippit integrate with Granola?
Yes. Rippit has a direct, one-click Granola integration, so your meetings sit next to Gong calls and Zendesk and Intercom tickets in one analysis.[5]
Can Granola analyze support tickets?
Granola captures meetings and calls through your device.[1] Granola Chat accesses your meeting data and files you add, not your emails.[8]
Is Rippit cheaper than Granola?
Rippit has a free plan and paid plans from $185/month.[6] Granola has a free plan and paid plans from $14 per user/month,[7] so compare against the scope you need.
Do I need to ask the same question meeting by meeting in Rippit?
No. AI classifies conversations across multiple dimensions, and new categories apply to past conversations in one run.[4]
Does Rippit work with Claude?
Yes. Rippit supports MCP, so Claude can query your conversation data directly.[14]
Is Rippit only for support?
No. Rippit's customers use it for churn analysis,[17] product feedback, coaching[13] and chatbot monitoring.[17]
Can I trace a number back to the conversations behind it?
Yes. In Rippit, every result is a field on a specific conversation,[3] so you can audit any answer by opening the conversations and fields behind it.
Is Rippit the same company as MaestroQA?
Yes. MaestroQA is now Rippit: same founders, with a rebuilt AI-first platform. The company moved from maestroqa.com to rippit.com, and existing customer data, rubrics and integrations carried over.[18] Some Rippit help center articles still appear under the MaestroQA name and domain.
Sources
Rippit was formerly MaestroQA. Some sources below are hosted on the MaestroQA help center (help.maestroqa.com).[18]
- Granola, homepage: https://www.granola.ai/
- Rippit, homepage: https://www.rippit.com/
- Rippit, How It Works: https://www.rippit.com/how-it-works
- Rippit, Conversation Taxonomy playbook: https://www.rippit.com/playbooks/conversation-taxonomy
- Rippit, Integrations: https://www.rippit.com/integrations
- Rippit, Pricing: https://www.rippit.com/pricing
- Granola, Pricing: https://www.granola.ai/pricing
- Granola Help Center, Chatting with your meetings: https://docs.granola.ai/help-center/getting-more-from-your-notes/chatting-with-your-meetings.md
- Granola Help Center, Recipes: https://docs.granola.ai/help-center/getting-more-from-your-notes/recipes.md
- Granola, Granola Chat just got smarter (April 21, 2026): https://www.granola.ai/blog/granola-chat-just-got-smarter
- Granola Help Center, Granola MCP: https://docs.granola.ai/help-center/sharing/integrations/mcp.md
- Rippit, Checkr customer story: https://www.rippit.com/customer-story/checkr
- Rippit, Brex customer story: https://www.rippit.com/customer-story/brex
- Rippit, The Complete Guide to Conversation Analytics: https://www.rippit.com/playbooks/the-complete-guide-to-conversation-analytics
- Claude Help Center, Get started with custom connectors using remote MCP: https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp
- Claude Docs, Context windows: https://platform.claude.com/docs/en/build-with-claude/context-windows
- Rippit, Klaviyo customer story: https://www.rippit.com/customer-story/klaviyo
- Rippit, "MaestroQA is now Rippit": https://www.rippit.com/news/maestroqa-is-now-rippit
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