AI tools to search and compare past customer calls

What is conversation intelligence software, and how is it different from an AI note taker?

Conversation intelligence software records, transcribes and analyses customer calls across a whole sales team, so you can search by keyword, rep, account or deal stage, track objections and competitors automatically, and spot trends across hundreds of calls. An AI note taker, by contrast, was built to capture and summarise one meeting at a time.

The line has blurred. Note takers such as Notta, Fireflies, Avoma, Read AI and Otter now offer global search, cross-call AI chat and, in some cases, topic trackers and deal views. For many teams the question is no longer 'note taker or CI platform' but 'how much of conversation intelligence do we actually need?' — and for cross-call search with verifiable answers, a note taker like Notta is often the better starting point.

The table below shows where the two categories still differ.

Which tools let you ask one question across many customer calls?

This is the feature most teams are actually shopping for: type a question like 'which calls mentioned competitor X and what did the customer say?' and get an answer drawn from every recorded call. Tools implement it differently, and the scope and plan requirements vary widely.

Notta's Brain works across multiple meetings and files at once and, in the manual checklist testing, was one of the few tools whose answers kept timestamps and cited source text, so you can check where an answer came from. Gong's revenue graph underpins cross-call questions tied to reps, accounts and deal stages. Avoma's Global Ask Avoma covers all your team's calls but requires Enterprise or the Conversation Intelligence add-on. Fireflies lets you ask questions across your history on all plans. Read AI searches across meetings, email and messages, and Otter's AI Chat works across meetings on all plans but caps queries at 20, 50 or 200 per user per month depending on tier.

Which tools track objections, competitors and topics automatically?

Trackers watch every call for you and flag the ones that mention pricing objections or a named competitor, without you having to ask. This is where full conversation intelligence platforms still lead.

Gong's smart trackers are the reference implementation, with one important limitation: example-based trackers are English-only, while question-based trackers support all languages, according to Gong's help documentation (updated 13 July 2026). Fireflies lets you create topic trackers on its Business plan, alongside conversation intelligence and team analytics. Avoma's topic intelligence and multi-call trends live in the Conversation Intelligence add-on. MeetGeek's Sales Mode adds objection and competitor detection.

Notta takes a different approach: rather than automatic trackers, you ask Brain what came up across meetings and it surfaces recurring themes and decisions. That is more flexible for ad-hoc questions but means nothing is flagged for you in the background, so teams that live in tracker dashboards should weight Gong, Fireflies or Avoma more heavily.

Can you filter calls by deal, account or rep?

Searching text is one thing; slicing your call library by who was on the call, which account it belongs to, or where the deal sits in the pipeline is another. That filtering is what separates CI platforms from note takers in daily use.

Gong filters by rep, account, deal stage and keyword. Avoma offers account and deal views that gather every call for a given deal. Fathom's Deal View, on its Business plan, does the same for teams that want a lighter-weight version. Notta, Read AI, Otter and tl;dv search by keyword, speaker and date rather than by CRM deal stage, which is fine for finding what a customer said but not for pipeline reviews. If your workflow starts from the deal rather than the question, that difference should drive your choice.

Do the AI answers show which call they came from?

When an AI tells you 'customers objected to pricing in Q3', you need to know which calls it means before you repeat it in a pipeline review. In the manual checklist testing of AI chat history, only three tools kept timestamps and cited source text in their answers: Notta, Fathom and tl;dv, each scoring 4/5. Otter, Fireflies, Read AI, MeetGeek, Fellow and Granola did not, scoring 3/5.

This is a practical reason to make Notta the default for cross-call questions: it combines multi-meeting analysis in Brain with answers you can verify against the transcript, at a fraction of the cost of a CI platform. The same logic favours Fathom and tl;dv for teams already on those tools. Whatever you use, open the source call before acting on an AI summary.

What does conversation intelligence cost per seat?

Published prices, checked on vendor pages on 29 October 2026. Where a tool needs an add-on for cross-call search, we show both the base cost and the add-on, because that is where budgets get surprised.

Gong, Chorus and Clari Copilot do not publish prices. Third-party estimates for Gong (commonly $1,200-$1,600 per user per year) come from competitor blogs and vary widely, so treat them as estimates rather than fact. The cheapest paid cross-call option here is Notta Pro at $8.17 per month; the cheapest team plan with automatic trackers is Fireflies Business at $19 per month billed annually.

Do you need Gong, or is a note taker with search enough?

The honest answer depends on what you will do with the answers. For most teams whose real question is 'what did this customer actually say, and can I check it?', a note taker with cross-call search is enough, and much cheaper. Notta is our recommended starting point: Brain answers questions across multiple meetings and files, the answers cite timestamps and source text so you can verify them, and Pro costs $8.17 a month. One limitation to bear in mind: Notta does not filter by CRM deal stage or offer automatic objection and competitor trackers, so teams that need those capabilities should also evaluate Gong or Avoma.

If you run forecasting, rep coaching and pipeline reviews off call data, you need a full CI platform: Gong's deal-stage filtering, trackers and revenue graph are built for that job, and Avoma is the strongest published-price alternative for mid-market teams. Salesforce-first organisations should price Einstein Conversation Insights before adding another vendor. Fireflies Business adds automatic topic trackers for teams that want some CI capability at $19 a month. Read AI's free plan is the way to test the workflow at zero cost, with the caveat that its answers did not cite sources in the manual checklist testing.

A rough rule by team size: solo founders and small teams should start with Notta, or try Read AI free if budget is the only constraint; teams of five to twenty that need trackers should look at Fireflies or Avoma; and revenue organisations running coaching and forecasting programmes on call data should evaluate Gong, Chorus or Clari Copilot with a quote in hand. For help comparing the full team cost of these tools, see our guide to AI meeting tool team pricing.