Best Tools to Search Across All Sales Call Transcripts (2026)

Most sales managers we talk to already record every call. The trouble starts when leadership or product asks "what are customers saying about pricing?" You have two options: interview your reps and get anecdotes, or scrub recordings you don't have time to watch.

"Search across all our call transcripts" sounds like one feature. It's actually three jobs:

1. Find the calls where something was said.
2. Ask one question across many calls at once.
3. Track a mention as a trend over time.

Every tool in this roundup is strong at one or two of these and capped at the third. Here's the short answer:

• Gong has the deepest conversation analytics, and its topics jump to the moment in a call.
• Fathom has fast keyword search that jumps straight to the moment a word was said.
• Attention is the most open option for teams building their own AI on top of their calls.
• Avoma suits smaller teams on any CRM, with public prices.
• Clari fits teams already on Salesloft.
• Weflow suits Salesforce teams that want to ask one question across many calls and get an answer tied to the deal. Ask Weflow AI is included in the seat and isn't metered.

We're Weflow, so you should know who wrote this. Weflow is the Revenue AI Orchestration platform for sales, customer success, and RevOps teams, built for Salesforce teams. We name our own ceilings in the same terms as everyone else's: our recording search returns calls rather than moments, and we only work with Salesforce.

How Weflow, Gong, Clari, Avoma, Attention and Fathom compare

Every tool here has cross-call search of some kind. The differences are in the caps, who can run it, and what it costs to ask often.

Each tool's section below gives the detail behind its column.

Three jobs hide behind "search all our call transcripts"

Every vendor says "AI search" because each of them does one version of it well. Name the job you need first, and the shortlist sorts itself.

Here's how one prospect described the gap on a call with us:

"…we do have a gap because right now sellers have the meetings and we need to interview sellers in order to get that perspective. So it becomes a little bit anecdotal."

Finding every call where something was said

Job one is keyword search over transcript text. You type a competitor's name and want every call where it came up.

Two things separate tools here:

• Reach: whether search covers what was said inside the transcript, not just call titles.
• Result: whether you get the moment, or only the call.

The second one matters more than it sounds. Fathom's library search and Gong's topics jump straight to the moment it was said. Weflow's recording search gives you a ranked list of calls, and you open each one to find the mention. Keep that distinction in mind, because the rest of this article leans on it.

Asking one question across many calls at once

Job two is the one leadership actually wants: "What are customers saying about pricing this quarter?" with one answer back.

The arithmetic is why this job exists. Ten reps on three to four hours of calls a day is 30 to 40 hours of conversation, every day. Nobody listens to that.

The ceilings live here. Ask three questions of every tool:

• How many calls does one question cover?
• How far back does it reach?
• Does the answer tell you what it left out?

The caps in this group run from 15 hand-picked calls, to 25 per request, to the top 100 matching calls, to two weeks of team history, to one million tokens per query. A confident answer from a slice of your calls is worse than no answer if you don't know it's a slice.

Tracking a mention as a trend over time

Job three turns anecdote into evidence. Instead of "a manager heard a competitor is coming up more," you show leadership a number climbing in one region.

We hear the need behind this one on almost every voice-of-customer call:

"What I'd love to be able to do is identify the trends. Why did we lose? What did customers say was the problem? How often is it price?"

Two things decide whether trackers deliver:

• Backfill: whether a new tracker scans your history or only calls recorded after you create it.
• Cost: whether running a tracker broadly draws metered credits, which pushes you to narrow it.

What to check in each tool before you trust its answers

Judge each capability by its ceiling, not its presence. Take this list into your vendor calls:

• Ask AI chat: Ask how many calls one question covers, how far back it reaches, and whether the answer says how much it read. Look for hand-picked call limits, fixed slices, history windows and preset-only questions.
• Call library and clips: Search a competitor name and see whether you land on the moment or a list of calls. Check whether clips are public by default.
• Keyword and competitor trackers: Ask whether a new tracker scans past calls, whether you can carry over the set you've built, and whether broad trackers draw credits.
• Transcription and languages: Count the languages you sell in against the supported list. Transcription is table stakes now, so weight this lightly unless you sell in many languages.
• Integrations: Check the meeting platforms and dialers your team actually uses, and whether answers reach the CRM where your reps live.
• Access from AI assistants (MCP): Ask whether the connector returns transcripts or only the vendor's summaries, and whether each request costs credits.
• Raw data access: Ask whether transcripts export through an API, and whether warehouse delivery is a separate purchase.
• Pricing: Ask for the seat price, the add-ons needed for cross-call AI, and whether asking often costs more.

Weflow: one question across many calls, answers on the deal

Weflow Conversation Intelligence + AI Field Updates records your meetings, writes the outcomes into Salesforce, and lets you ask questions across every call you've recorded. It's built for Salesforce teams.

What Ask Weflow AI and trackers do across your calls

Ask Weflow AI handles job two. You ask once across a set of calls instead of asking about each call separately.

You can point it at different scopes:

• a single call or deal
• a filtered deal board, so "which deals are blocked" applies to exactly the deals in view
• an account, which pulls every email, meeting and transcript on it into the question
• the whole system

The answer draws on transcripts, captured emails and Salesforce records together. So "what do our closed-lost deals in the last 90 days have in common?" comes back from what was said, not from what a rep remembered to type in a picklist.

Ask Weflow AI inherits your Salesforce permissions and adds its own guardrails on top. A rep only gets answers from data they can already see.

And every answer traces back to its source. That's what our customers notice first:

"I love being able to go right to the call, transcript or email and see where something was said that the AI is referencing."

— Scott Jones, SVP of GTM Revenue Intelligence & Enablement, KORE Wireless

Here's what that looks like: the answer, with every source it used listed underneath.

Trackers handle job three. You set them on competitor names, pricing, objections or product mentions, and Weflow counts every hit across every recorded call, by rep, team and region. A competitor whose mention rate is climbing in one region shows up as a number. If you're switching from another recorder, your existing tracker set comes with you, so keyword reporting doesn't restart from zero.

The answers also live where your team already works. Transcripts sit on a native Salesforce recording object, queryable alongside the deal. The Weflow Chrome extension puts Ask Weflow AI on Salesforce record pages, so a rep doesn't open a second app to ask a question.

Where Weflow stops: calls not moments, Salesforce only

• Recording search shows which calls mention a term, not where in each call it was said. To get mention-level results, you open the recording or set up a tracker and read its hits in Insights.
• Recording search indexes transcript text only. Linked Salesforce record names, such as the account or opportunity, aren't searchable from the recording search.
• Ask Weflow AI has a one-million-token ceiling per query. Questions that sweep your whole book of business belong in Weflow Agent Builder, which has no per-run ceiling.
• There's no live in-call search or real-time battlecards. Everything arrives after the call is processed.
• Individual calls can't be marked private. Visibility follows the Salesforce hierarchy.
• Weflow works only with Salesforce. If you're on HubSpot or another CRM, look at Avoma or Fathom.

Best for: Salesforce teams whose manager wants answers across many calls tied to deals, with trackers for trends and Ask AI that nobody has to ration.

Gong: the deepest call analytics, with capped AI answers

Gong is a conversation intelligence platform that records and analyzes calls in its own cloud, sold as a Gong Foundation core license with applications on top.

What Gong does better than anyone on call analytics

Gong invented this category, and its conversation analytics are the deepest in this group. If your manager lives in call review, that matters.

Gong's topics are the standout for job one. Each call shows its topics below the recording, and clicking one jumps to the point where it was discussed. That's mention-level navigation without setting anything up.

The breadth is real too. Gong's marketplace lists about 450 integrations and partner solutions, it imports calls from about thirty dialers, and it transcribes 70+ languages. Its public API returns transcripts, which gives a builder raw material to work with.

Where Gong's Ask Anything and credits cap your questions

• Ask Anything answers from capped slices: the top 100 matching calls per search, or 60 calls and 500 emails per deal or account. The answer doesn't say what was cut, and on a long-running account the cut material is usually the older context.
• Gong Assistant, which is replacing Ask Anything, runs on the call page only. Portfolio questions across accounts and deals stay single-shot.
• AI Trackers, the MCP server and API workflows draw from a pooled credit balance: 2,000 credits per paid core seat a year, about one credit per call over ten minutes. The same brief is free in the interface and costs credits through MCP or the API.
• The MCP server returns Gong's AI insights, never raw transcripts, and works on one account or deal at a time.
• Free Collaborator accounts can view calls but get no Ask Anything and no MCP access.
• Warehouse export needs Data Cloud, a separate application.
• Gong publishes no prices.

Best for: teams that want the most mature conversation analytics and are willing to pay for it.

Clari: Ask Salesloft goes broad, Copilot stays narrow

Clari and Salesloft merged in December 2025. Clari Copilot is the conversation intelligence layer, replacing Salesloft Conversations, and Ask Salesloft is the platform's AI assistant. Copilot access needs an Advanced or higher Salesloft tier.

What Ask Salesloft and Clari Copilot cover well

If you're already on Salesloft, Ask Salesloft is the broad assistant. It's included in every package, on by default, and answers only from records the asking user is allowed to see. It reads calls, meetings, emails and opportunities alongside documents you upload, such as battle cards and case studies.

The Copilot library is good at job one in its own way. You filter calls by competitor mentioned or pricing detected, save the filter, and get notified when a new call matches.

Copilot also splits calls into AI Smart Chapters, collects clips from many calls into Gametapes for onboarding reels, and offers real-time battlecards during calls. It transcribes 28 languages with automatic detection.

Where Clari Copilot limits your cross-call questions

• Ask Copilot answers across at most 15 calls, each picked by hand, all recorded on or after 1 January 2026. Anything spanning a quarter on a large account exceeds that.
• AI Themes analyzes up to 1,000 calls per run, but answers only one of seven preset questions, such as Objections or Pricing Reactions. You can't ask your own.
• AI Themes needs at least 100 calls in scope, runs on a monthly quota, and only admins and managers can generate it. Everyone else views reports through a shared link.
• The Salesloft MCP server no longer returns transcripts, and it requires the paid Agentic add-on.
• Each rep onboards individually: sign up, connect a calendar, record a voice fingerprint, install the desktop app.
• Pricing is quote-only.

Best for: teams already on Salesloft or Clari.

Avoma: Global Ask Avoma for smaller teams on any CRM

Avoma is a meeting-first conversation intelligence tool that records, transcribes and summarizes calls, works with six CRMs, and publishes its prices.

What Avoma gives a small team on any CRM

Avoma covers all three jobs at a published price, on whatever CRM you run.

Global Ask Avoma answers questions across transcripts, emails and deals. You can save a prompt and schedule it to run on a cadence, with results delivered to Slack, Microsoft Teams or email. That's a practical way to get a weekly objection summary in front of leadership without anyone opening the tool.

Smart Trackers catch the same idea in different words and can scan up to 12 months of past conversations, so a new tracker starts with history. Snippets appear automatically after every meeting, and viewer seats are free and unlimited, which helps when product or marketing wants to listen in.

Where Avoma's add-ons stack up and permissions go unstated

• Global Ask Avoma needs the Conversation Intelligence add-on at $29 a seat, on top of the base seat. Deal questions also need Revenue Intelligence, another $29.
• Avoma's documentation doesn't say how Global Ask answers respect meeting privacy or CRM permissions.
• Very broad MCP queries spanning thousands of meetings can be slow or time out.
• The API and MCP connector need the Organization plan or above.
• Avoma built outward from the meeting and sells mainly to small businesses, so its center of gravity stays on the call rather than the CRM.

Best for: smaller, budget-conscious teams on any CRM.

Attention: raw transcripts for teams building their own AI

Attention is an AI-native conversation intelligence tool built around agents, with the widest MCP server in this group.

What Attention opens up for teams building their own AI

If you're building your own AI layer, Attention hands you the most raw material.

Its MCP server full-text searches inside transcripts and returns the matching snippets showing who said what. That's job one at the moment level, reachable from Claude or ChatGPT. It also returns raw transcripts, where Gong returns only insights and Salesloft removed transcripts altogether.

For job two, the ask_attention tool runs analysis server-side across up to 25 calls in one request, or every call on a deal, and returns an answer with references back to specific calls. There's no credit meter on any of this, only rate limits.

Inside the app, the Super Agent searches Salesforce and HubSpot accounts, runs pipeline queries and reads imported email threads. Attention also ships real-time battlecards in its desktop app.

Where Attention keeps in-app questions to one deal

• The in-app Insights tab answers about one call or one deal. Account scope sits in the menu, greyed out.
• Through MCP, transcript search can't be combined with CRM, rep, participant or title filters. You run a second search and cross-reference.
• Snippet links are open to anyone who holds them unless the sharer ticks the restriction box.
• Getting the most from Attention means building: workflows with code steps are software, and someone has to maintain them.
• Attention publishes no pricing.

Best for: teams building their own AI layer on top of their calls.

Fathom: fast keyword search that jumps to the moment

Fathom is a mass-market AI notetaker, used by more than 300,000 companies and owned by Superhuman since September 2026.

What Fathom's shared call library does well

Fathom is excellent at job one. Search the Team Calls library for a keyword, phrase or name, and each result jumps to the moment it was said.

Its trackers match meaning rather than exact words, so "customer considering a competitor" catches it however they phrase it. Playlists collect clips from several calls into a best-of reel.

The price is hard to argue with: a free tier, published plans from $15 a user, no platform fee and no usage credits. Every plan gets the MCP connector and the API.

Where Fathom limits team history and Salesforce depth

• Since 1 September 2026, team-wide AI search beyond two weeks needs the Business plan.
• Trackers scan only calls recorded after you create them, so a new tracker starts with no history.
• Salesforce writes are shallow: summaries land as a logged-call Task on a matched Contact, and field writes on Business fill only text fields and overwrite on each meeting.
• Meetings link to Salesforce only through an external attendee's primary email. Leads are never matched.
• Fathom's roadmap is set by Superhuman's productivity suite, with nothing announced on deeper Salesforce writes or deal context.

Best for: price-sensitive teams that want a simple shared library and mostly need to find moments.

What each tool costs when you search your calls often

Three of the six tools publish seat prices: Weflow, Avoma and Fathom. Gong, Clari and Attention don't.

Metering changes how your team behaves. When every broad question draws down a shared credit pool, managers ration questions and narrow trackers. That kills the ask-on-demand habit you bought the tool for.

We built Weflow pricing the other way on purpose. Ask Weflow AI, summaries and AI field updates sit in the seat. The only metered product is Weflow Agent Builder, the one place where scheduled agents genuinely consume open-ended volume.

Which call search tool fits your team

Start with the job your team asks for most, then narrow by CRM, team size and budget.

Pick by the job your team asks for most

Pick by your CRM, team size and budget

• If you're not on Salesforce, shortlist Avoma or Fathom. Both work with HubSpot and other CRMs.
• If you're already on Salesloft, Clari Copilot and Ask Salesloft sit inside the platform you run.
• If you're on Salesforce with ten or more seats, Weflow puts cross-call answers on the deal at a published seat price.
• If you want the deepest analytics regardless of price, Gong is the established choice.
• If you have a team of two to nine on a tight budget, Fathom's Team or Business plan gets you a shared library fast.

Run one real question across a quarter of your calls

Every vendor demo uses a question the tool answers well. Use yours instead.

1. Pick a question someone outside sales actually asked you, such as "why did we lose deals to [competitor] last quarter?"
2. Scope it to a full quarter of your team's calls, not a handful you pick.
3. Ask it in every tool you're trialing, worded the same way.
4. Look at whether the answer says how many calls it read.
5. Click each point in the answer and see whether it takes you to the call, transcript or email where it was said.
6. Run the same question again a week later and see whether it drew credits or quota.

Those three outcomes, coverage, traceability and cost, tell you more than any feature grid. A tool that answers from a slice without saying so, or makes you think twice before asking again, won't become the habit you need.

Walk through the product yourself, no call required.

What changed in call transcript search during 2026

• Weflow shipped a desktop app that records without a notetaker, including softphone calls such as Aircall and RingCentral, and added automatic meeting type detection.
• Gong introduced AI credits on top of seat pricing, with allocations emailed to customers in late May 2026, and began replacing Ask Anything with Gong Assistant on the call page.
• Clari started replacing Salesloft Conversations with Clari Copilot after the December 2025 merger, launched Ask Copilot and AI Themes, and the Salesloft MCP server dropped transcript retrieval.
• Avoma now offers an MCP connector for Claude and ChatGPT that reads transcripts.
• Attention gave its Super Agent access to Salesforce and HubSpot accounts and imported email in April 2026, and added live battlecards to its desktop app in June 2026.
• Fathom limited team-history AI search by plan from 1 September 2026 and was acquired by Superhuman later that month.

How we compared these tools, and where we stand

We took competitor detail from each vendor's public documentation, help centers, pricing pages and release notes as of 2026. Weflow detail comes from our own documentation and pricing.

We're a vendor in this list, so we held ourselves to the same standard: every tool gets the same eight capabilities, and we state Weflow's ceilings in the same terms as everyone else's. Where Gong or Fathom is better at a job, we've said so.

Questions sales managers ask about searching call transcripts

How much does searching sales call transcripts cost per seat?

Weflow Conversation Intelligence is $39 per user a month, billed annually, with Ask Weflow AI included and a 10-user minimum. Avoma runs $19 to $39 per recorder seat, plus $29 add-ons for cross-call AI. Fathom's paid plans run $15 to $25 per user, with full team-history search on Business at $25. Gong, Clari and Attention publish no prices.

Is cross-call AI search included or charged as credits?

It depends on the tool:

• Weflow: Ask Weflow AI is included in every plan and seat, not metered.
• Gong: AI Trackers, MCP and API workflows draw pooled credits.
• Clari: AI Themes runs on a monthly quota of analyses.
• Avoma: Global Ask needs the Conversation Intelligence add-on.
• Fathom: team history reach is gated by plan.
• Attention: no consumption charge on MCP.

Can I search calls we already recorded in Gong, Chorus or Jiminny?

Yes, in Weflow. We import existing recordings from Gong, Chorus, Jiminny and others with just an API key and re-link them to the right Salesforce records. If the provider's API doesn't carry the Salesforce association, we run our own lookup matching. A Gong migration takes about a week. Attention's API also imports recordings from other tools.

Can I search Teams, Zoom or Outreach dialer calls we already record?

Weflow records Zoom, Microsoft Teams, Google Meet and Webex meetings, and pulls in Outreach dialer calls with audio, transcript and summary. The Weflow desktop app records any softphone call that runs through your computer, started by the rep.

Elsewhere: Gong imports from about thirty dialers, Avoma connects to dialers including Outreach and pulls Teams cloud recordings without a bot, and Attention imports Zoom Phone and Aircall calls. Fathom lists no dialer.

Who can see whose calls, and can product get answers without a seat?

In Weflow, recording access follows your Salesforce hierarchy by default, and admins can override it with a custom hierarchy or Teams. People outside Salesforce, like product or marketing, can get a View-Only license to review recordings, summaries and transcripts. Individual calls can't be made private.

Gong's free Collaborators can view calls but get no Ask Anything or MCP. Avoma includes free, unlimited viewer seats. Clari AI Themes reports reach non-managers only through a shared link.

Can I see where in a call something was said, or only which calls?

Fathom's library search and Gong's topics jump to the moment. Attention's MCP search returns who-said-what snippets. Weflow's recording search returns a ranked list of calls; for mention-level results, you set up a tracker and read its hits in Insights, or open the call and use its AI chapters.

Can I carry over the trackers we already built?

Yes, in Weflow. An existing tracker set carries over when you replace another recorder, and new trackers apply retroactively to past recordings. Avoma's Smart Trackers scan up to 12 months back depending on license. Fathom's trackers only scan calls recorded after you create them.

How far back does search reach, and how many calls fit one question?

Here are the ceilings in one place:

• Clari Ask Copilot: 15 hand-picked calls, recorded since 1 January 2026.
• Attention MCP analysis: 25 calls per request, or one whole deal.
• Gong Ask Anything: top 100 matching calls, or 60 calls and 500 emails per deal or account.
• Clari AI Themes: 100 to 1,000 calls per run, seven preset questions.
• Fathom Team plan: two weeks of team calls.
• Weflow Ask Weflow AI: one million tokens per query, with whole-book sweeps handled by Weflow Agent Builder.

Do reps have to install anything or change how they work?

In Weflow, an admin connects calendars server-side, and the notetaker joins external meetings from the calendar automatically. Each rep signs in once, which starts recording for them. The desktop app is optional.

Clari Copilot asks each rep to sign up, connect a calendar, record a voice fingerprint and install a desktop app. Attention asks each user to link their own calendar.

Is our call data used to train AI models?

No. Weflow never uses customer data to train AI models and runs Zero Data Retention for AI processing. We're SOC 2 Type II certified and GDPR compliant. You choose where your recordings and transcripts live: Frankfurt, New York or Sydney.

Which languages do these tools transcribe?

Weflow transcribes 96 languages with automatic detection. Attention covers 100+, Gong 70+, Avoma 60+, Fathom 38 and Clari Copilot 28.

Can I get answers into Slack, Claude, ChatGPT or a data warehouse?

Weflow integrates with Slack, and our read-only MCP connector reaches Claude, ChatGPT and other assistants, with full transcripts behind a separate admin toggle. Our REST API bulk-exports transcripts as JSON or CSV into your warehouse or BI tools.

For the others:

• Gong's MCP returns insights only, and warehouse export needs Data Cloud.
• Salesloft's MCP needs the Agentic add-on and returns no transcripts; Salesloft syncs to Snowflake and Databricks.
• Avoma sends scheduled prompts to Slack and has its own MCP connector.
• Attention works with Slack both ways and offers the widest MCP server.
• Fathom has MCP and an API on every plan, and posts to public Slack channels only.