8 Knowledge Platforms That Make Past Client Calls Searchable

Eight platforms that make past client conversations searchable, divided by what happens after the search. The deciding test is citations: write ten questions you already know the answers to, then open every citation the tool returns. Permissions should constrain what a user can ask, not only what they can open, and free tiers cap retention precisely where the useful history lives.

This article is for informational purposes only and does not constitute financial, tax, or legal advice. Consult a qualified professional for guidance specific to your situation.

Reviewed for financial accuracy by the Startup Finance Guide editorial team. Our editors cross-reference all claims against platform documentation, pricing pages, and primary regulatory sources. Last reviewed: November 2, 2026.

Eight platforms make past client conversations searchable, and they divide by what happens after the search. Gong, Chorus and Jiminny return conversation context inside a revenue platform. Avoma, Otter.ai and Grain are notetakers with question-answering on top, and they are the only ones here with usable free or low-cost entry points: Otter's Basic plan is free with a 30-minute cap per conversation, Grain is free for individuals, Avoma starts at $19 per recorder seat a month billed annually. Jazyl SAL is the private-cloud option for organisations that cannot send transcripts anywhere. Quivly puts the answer next to the account facts and the next action.

A customer insists someone promised a custom pricing tier eighteen months ago. The email is unfindable, the recording sits in a folder nobody has opened, and the rep who made the promise left in spring. That is not a search problem, it is an evidence problem, which is why the question that matters is whether every answer links back to the exact moment behind it.

Key takeaways

These platforms ingest calls, emails and transcripts and answer plain-English questions using retrieval, so an answer can point back to its source. An uncited answer about a pricing promise is a liability, not an insight.
Test citations before features. Write ten questions you already know the answers to, then open every citation the tool returns.
Free entry points exist at the notetaker end only. The revenue platforms all quote privately.
Permissions should apply to questions, not just to documents. Ask every vendor whether a user can ask about a record they cannot open.

The eight compared

Platform	Entry price	Free option	Deployment	CRM sync
Quivly	Quoted	Demo only	Cloud	Salesforce, HubSpot and 1,000+ integrations
Jazyl SAL	Not published	Demo only	Private cloud	Imports from enterprise repositories
Gong	Quoted	Demo only	Cloud	Native CRM integrations
Chorus by ZoomInfo	Quoted	Demo only	Cloud	Syncs contacts and communications
Jiminny	Quoted	14-day trial	Cloud	Salesforce, HubSpot
Avoma	$19 per recorder seat a month, billed annually	Trial, plus unlimited free view-only seats	Cloud	Salesforce, HubSpot, Pipedrive, Copper, Zoho
Otter.ai	$8.33 per user a month, billed annually	Free Basic plan	Cloud	Salesforce, HubSpot on higher plans
Grain	Not published on its pricing page	Free forever for individuals	Cloud	HubSpot, Salesforce, Pipedrive
Prices came from vendor pricing pages in November 2026. Two caveats worth carrying into a negotiation: Avoma's pricing cards and its comparison table disagree on the middle tier, and Grain's page shows a per-seat figure that is not clearly attached to any plan.

The revenue platforms

Gong

The most established option here, and the one with the strongest third-party validation: Gong was named a Leader in the 2026 Gartner Magic Quadrant for Revenue Action Orchestration, its second consecutive year, in a report dated 13 October 2026 that evaluated 13 vendors and named four Leaders.

Its Revenue Graph connects captured interactions across the business, so a search returns conversation context next to deal data. Gong Agents handle follow-ups, pipeline edits and forecast corrections. Engage, Forecast and Enable extend it well beyond search.

Where it stops: this is a revenue suite. Buying it to make conversations searchable means buying a lot of other product alongside it.

Chorus by ZoomInfo

ZoomInfo acquired Chorus in 2021 and it now sits inside the go-to-market platform. It captures calls, meetings and emails, measures deal momentum, flags churn risk from what customers say, and syncs contacts and communications to the CRM automatically. The relationship history for a contact appears next to ZoomInfo's own data.

Where it stops: the case for it rests on already licensing ZoomInfo.

Jiminny

Ask Jiminny answers questions about a single call or across a multi-call deal, AI CRM filling pushes details from calls and emails into CRM fields, and call libraries group key moments for training.

Where it stops: built for mid-market teams running Salesforce or HubSpot. Outside those, less compelling.

The notetakers

Avoma

Transcribes live in more than 70 languages, writes notes and updates CRM fields. Ask Avoma answers questions across conversations and offers an MCP connection for other AI tools, and smart trackers use semantic matching to flag topics like pricing or churn language without keyword lists.

Pricing starts at $19 per recorder seat a month billed annually, or $29 monthly. View-only seats are free on every plan, which matters when the people who need to read a transcript outnumber those who record.

Where it stops: the modular buying is a strength and a trap. Conversation and revenue intelligence are add-ons, so compare the configuration you will actually use, not the base price.

Otter.ai

Joins Zoom, Teams and Meet, transcribes live, identifies speakers and writes summaries with action items. AI Chat answers questions within a meeting or across many, and the Pro plan adds search by speaker and date range.

The free plan is genuinely free and genuinely limited: 30 minutes per conversation, 300 minutes per user a month, three lifetime file imports, and access to the 25 most recent conversations. Pro is $8.33 per user a month billed annually.

Where it stops: a notetaker that answers questions is not an account intelligence tool. There is no deal or health context.

Grain

Records video calls, Slack huddles and in-person meetings. Its desktop capture transcribes without a bot joining, which some customers prefer and some compliance teams require. Answers across the meeting library come with citations.

Where it stops: the pricing page only publishes the free tier clearly, so budget conversations require a quote.

The private-cloud option

Jazyl SAL

A conversational intelligence module that acts as an assistant over an organisation's own documents, audio transcripts and images, in Arabic and English, answering only from retrieved content with citations attached. Everything stays inside the organisation's private cloud.

The access model is the interesting part: role-based access limits users to the documents for their role, and attribute-based rules add department, sensitivity and transaction-value limits, so permissions constrain what can be asked as well as what can be opened. The vendor reports roughly 20% faster internal retrieval, though that figure is their own.

Where it stops: call recordings must be uploaded or imported as transcripts rather than captured, and this is a niche fit outside regulated organisations with Arabic-English requirements.

The account-context option

Quivly

Turns what customers say on calls, in email, Slack and support tickets into searchable context sitting next to the account facts, with connections to CRM, billing, product usage and support data. Ask Quivly takes a question the way you would type it in Slack and answers across past conversations and connected data. Agents draft onboarding, expansion and renewal follow-ups from what customers actually said, held for a person to approve. Radar adds outside signals, such as a customer acquiring another company.

Where it stops: it does not record calls, so it needs a capture tool upstream. As a search layer alone it is more than you need; the argument for it is the step after the search.

How to choose

Map where the conversations live. Call recordings, email, Slack, support tickets. Check each vendor's integration list against that exact set, not against a general promise.
Test citations on questions you can already answer. Ten questions, known answers, and open every citation to confirm it lands on the right moment. This is the only test that separates these products.
Ask who can ask what. Do permissions apply to questions as well as documents? Does your data train shared models? Will the vendor share a current security audit report?
Write the review rule before rollout. Decide which AI-drafted messages need human approval. The NIST AI Risk Management Framework is a free voluntary checklist for the oversight questions, and our guide to safe AI agents in customer conversations covers which controls to ask about.
Pilot on one team for two weeks. Twenty past calls, three people, and a log of every question that still sent somebody digging through recordings.

Related: our comparisons of AI customer intelligence platforms for SaaS and conversation intelligence platforms cover the capture layer these tools read from.

Limitations

Prices and capabilities come from vendor pricing pages and documentation in November 2026, and two of those pages contradict themselves, which we have flagged rather than resolved. We have not tested retrieval quality, citation accuracy or transcription quality on any platform, and those are the dimensions that decide whether one of these is useful. Jazyl SAL's performance figure is the vendor's own and we found no independent verification. Gartner's evaluation of Gong is reported from Gong's own announcement, as the report itself sits behind Gartner's paywall.

Frequently asked questions

What makes an answer trustworthy?

A citation that opens the exact moment in the exact call. Everything else is a summary you cannot check, and in a dispute about what was promised, an uncheckable summary is worth nothing.

Can we just use general enterprise search?

For documents, often yes. Slack and similar tools search connected business apps broadly. For calls, the specialised platforms understand speakers, timestamps and deal context in ways general search does not.

How far back can these search?

As far as the data you import. Most teams discover their real limit is the retention policy on the recording tool rather than anything the search platform imposes.

Does a free notetaker cover this?

For an individual, often. For a team that needs to answer "what did we promise this account in 2024", no, because free tiers cap retention and conversation counts precisely where the useful history lives.

What about recording consent?

It varies by jurisdiction, and some require all-party consent. Settle this before rolling out capture, not after, and treat vendor defaults as a starting point rather than as compliance.

Conclusion

Start with the conversations that already cost you money. Pull the last five lost or at-risk accounts and mark the first moment a call hinted at trouble: a pricing worry, a missing feature, a champion going quiet.

Turn those phrases into saved searches or topic trackers in whichever platform you choose. If a tool cannot find the warning you already know is there, it will not find the next one either, and that single test is worth more than any feature comparison.

Prices and capabilities come from vendor pricing pages and documentation in November 2026, and two of those pages contradict themselves, which we flag rather than resolve. We have not tested retrieval or citation accuracy on any platform.

How we built this comparison: prices come from each vendor's own pricing page, vendor performance claims are labelled as such, and the Gartner result cited is reported from the vendor's announcement because the report itself is paywalled.