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Best AI Tools for Analyzing Sales Calls and Meetings (2027 Guide)

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Nida Khan

Content Marketing Strategist

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11

min read

Best AI Tools for Analyzing Sales Calls and Meetings (2027 Guide)

For analysis after the call, the strongest options heading into 2027 are Gong and Chorus for enterprise conversation intelligence, HubSpot for HubSpot CRM teams, and Avoma, Fireflies.ai and tl;dv for lower-cost notes with analytics. Live help during the call now comes from Avoma's Real-time Answer Assistant add-on, Fireflies.ai Live Assist, Convin's Real-Time Assist Agent and Proshort (our product). Pick by the job, not the brand.

Sales call analysis software transcribes sales calls and uses AI to measure what happened: questions asked, objections raised, talk ratio, next steps and methodology coverage.

Key takeaways

  • Good call analysis measures behaviors you can coach: questions asked, buyer questions left unanswered, objections handled, next steps agreed and methodology coverage.

  • Score calls against your own rubric, not a vendor default. Three to five skills per call is enough to coach from.

  • In our grouping, the tools fall into three types: meeting notetakers with analytics (Avoma, Fireflies.ai, tl;dv), contact-center quality tools (Convin) and sales conversation intelligence (Gong, Chorus, HubSpot and Proshort, our product).

  • Forecasting comes from the sales platforms: Gong Forecast, HubSpot Sales Hub Professional and Enterprise, and Avoma's Revenue Intelligence add-on; Chorus describes deal intelligence for forecasting. The notetakers here do not describe forecasting.

  • Post-call analysis tells you what went wrong. Live help during the call stops it going wrong, so decide which problem you are solving first.

How we compared these tools

  • Tool type: sales conversation intelligence, meeting notetaker or contact-center quality platform.

  • Analysis strengths: scoring, objections, sentiment, summaries or QA audits, as each vendor describes them.

  • Help during the call: whether the vendor claims live guidance, and for whom.

  • CRM integrations: which CRMs the vendor names on its own site or help center.

  • Forecasting: whether the vendor offers forecasting from deal and call data.

  • Pricing transparency: whether the vendor publishes prices, and the entry price where it does.

Disclosure: Proshort makes Aria, one of the tools below. We list it last and describe every tool from its own website, and we say where each one is the better choice. Pricing, CRM integrations, live help and forecasting were re-checked on each vendor's site on 11 November 2026. We did not test competitor products hands-on.

What should sales call analysis measure?

Start with metrics that point to a coachable behavior. Volume metrics (calls made, minutes recorded) tell you activity, not quality. These are the signals worth extracting from every sales call transcript:

Metric

What it tells you

What to look for

Talk-to-listen ratio

Whether the rep is pitching or discovering

The buyer doing more of the talking in discovery calls

Questions asked by the rep

Depth of discovery

Open questions about impact, process and decision, not only yes/no

Buyer questions left unanswered

Gaps in product knowledge or proof

Fewer each month; recurring ones become battlecards

Objections raised and handled

Where deals stall and how reps respond

The same objection answered the same, winning way across reps

Competitor mentions

Who you are really up against

Which rival comes up by segment and what buyers say about it

Next step agreed

Whether the call moved the deal

A dated next step with an owner on the buyer side

Methodology coverage

Qualification quality (MEDDICC, BANT or your own)

How many of the seven MEDDICC elements (or your own framework's fields) the buyer confirmed in their own words, not filled in by the rep afterwards

Sentiment shifts

Moments the buyer cooled or warmed

What the rep said just before the shift

How to build a call scoring rubric AI can apply

AI can score every call against a rubric, but only if the rubric is written so a reader with no context could apply it. Five steps:

  1. Pick three to five skills that decide your deals, for example discovery depth, objection handling, value articulation and next-step commitment.

  2. Define each skill as observable behavior. "Asked how the buyer measures the problem today" is scorable; "good rapport" is not.

  3. Write what a 1, 3 and 5 look like, using lines from your own won and lost calls as examples.

  4. Calibrate on ten calls. Have two managers and the AI score the same calls, then tighten any criterion where scores disagree.

  5. Close the loop. Every low score should come with the moment, the timestamp and a better line, plus a drill to practice it.

The 8 best AI tools for sales call analysis

Tool

Type

Analysis strengths

Gong

Revenue AI platform

Topics, sentiment, talk ratio, scorecards

Chorus by ZoomInfo

Conversation intelligence

Call analysis, coaching, deal intelligence

HubSpot conversation intelligence

CRM-native

Transcripts, tracked terms, comments, AI summaries

Avoma

Meeting assistant plus CI

AI notes, call scoring, deal-risk alerts

Fireflies.ai

Meeting notetaker

Transcripts, talk time, sentiment, AI search

tl;dv

Meeting notetaker

Summaries, multi-meeting reports, coaching clips

Convin

Contact-center platform

QA audits, multilingual analysis

Proshort (our product)

Sales AI platform

Playbook scoring, objections, deal signals, role-play

The list is not a ranking: tools are grouped by type, with Proshort (our product) last.

Gong: best for enterprise-scale analysis

Gong records and transcribes calls, detects keywords, topics and sentiment, measures talk ratio, and runs coaching scorecards tied to deals and pipeline (Gong). It integrates natively with Salesforce, HubSpot and Microsoft Dynamics (Gong help center), and Gong Forecast adds an AI Deal Predictor and AI Revenue Predictor for the forecast call. Gong prices per user plus a platform fee and does not publish rates (Gong pricing). It suits large teams with managers who have time to review calls.

Chorus by ZoomInfo: best ZoomInfo product for analyzing calls

Chorus is ZoomInfo's conversation intelligence product, covering call recording and analysis, onboarding and coaching, deal intelligence with CRM sync, and market and competitive intelligence (Chorus). ZoomInfo sells Chorus on custom plans with no published price. It fits teams already on ZoomInfo.

HubSpot conversation intelligence: best for HubSpot CRM teams

HubSpot records and transcribes calls inside the CRM, supports comments for coaching and writes AI call summaries. Transcription analysis needs Sales Hub or Service Hub Professional or Enterprise, and tracked terms need Enterprise (HubSpot knowledge base). Sales Hub Professional lists at $90 per seat per month billed annually, plus a one-time $1,500 onboarding fee, and includes forecasting (HubSpot pricing).

Avoma: best for mid-market teams that want notes and scoring together

Avoma pairs an AI meeting assistant with conversation intelligence: AI notes, AI call scoring and coaching, and deal-risk alerts. Plans start at $19 per seat per month billed annually; the Conversation Intelligence add-on ($29) includes a Real-time Answer Assistant, and the Revenue Intelligence add-on ($29) adds forecasting and two-way CRM field updates (Avoma pricing). The same page lists Salesforce, HubSpot, Pipedrive, Copper, Zendesk Sell and Zoho CRM integrations.

Fireflies.ai: best low-cost transcripts and search

Fireflies.ai transcribes meetings in 100+ languages and adds talk-time and sentiment analytics and meeting search; it has a free plan, and Pro is $10 per seat per month billed annually (Fireflies.ai pricing). Live Assist gives real-time suggestions during meetings, and calls sync to HubSpot, Salesforce and 25+ CRMs (Fireflies.ai). It is a notetaker first and does not describe forecasting.

tl;dv: best for collaborative recaps across meetings

tl;dv calls itself an AI notetaker built for team collaboration. It records and summarizes meetings in 100+ languages, syncs notes to HubSpot, Salesforce, Pipedrive and Zoho (tl;dv integrations), and produces multi-meeting reports and clips for sales coaching. Pro is €18 per seat per month billed annually (tl;dv pricing). Processing happens after the call.

Convin: best for contact-center quality assurance

Convin positions itself as an AI agent platform for customer interactions, aimed at contact centers (Convin). It offers conversation intelligence and QA audits in 70+ languages and a Real-Time Assist Agent with live prompts for human agents. Plans are customized and prices are not published (Convin pricing). Choose it for high-volume support or inside-sales floors rather than field sales.

If you want a training platform built around call analysis, enablement suites such as Mindtickle and Allego list AI role-play, coaching and conversation intelligence among their products; see our guide to AI sales training software.

Proshort (our product): turning call analysis into better calls

Proshort scores every call against your own playbook: reps see the moment, the timestamp and the better line, then rehearse it in AI role-play against a buyer that pushes back. The AI playbook refreshes every 24 hours from the questions and objections buyers actually raise, and the best answers reach reps live through Aria.

How do these call analysis tools compare on live help, CRM and price?

Beyond analysis, three things separate these platforms: whether they help during the call, which CRMs they write to, and whether they forecast. This table shows what each vendor states on its own site, checked 11 November 2026. If you are replacing Chorus specifically, see our Chorus alternatives guide.

Tool

Live help during the call

CRM integrations (as named by the vendor)

Forecasting

Entry price

Gong

Gong app for Zoom: notes, key moments, how the call is going

Salesforce, HubSpot, Microsoft Dynamics

Yes (Gong Forecast)

Not published

Chorus by ZoomInfo

Not described

Syncs to your CRM (none named on the product page)

Deal intelligence ("Forecast with confidence")

Not published

HubSpot

Not described

Native to HubSpot CRM

Yes (Professional and Enterprise)

$90/seat/mo (Professional, annual)

Avoma

Real-time Answer Assistant (add-on)

Salesforce, HubSpot, Zoho, Pipedrive, Copper

Yes (Revenue Intelligence add-on)

$19/seat/mo (annual)

Fireflies.ai

Live Assist

HubSpot, Salesforce and 25+ CRMs

Not described

Free plan; Pro $10/seat/mo (annual)

tl;dv

Not described

HubSpot, Salesforce, Pipedrive, Zoho

Not described

€18/seat/mo (Pro, annual)

Convin

Real-Time Assist Agent (contact center)

CRM updates (none named on the home page)

Not described

Not published

Proshort (our product)

Aria Live, private to the rep

Salesforce, HubSpot, Microsoft Dynamics 365, Zoho CRM, Pipedrive, Freshsales

Not a forecasting tool; pipeline review shows deal probability, 14-day momentum and MEDDICC

$75/rep/mo, Aria Live $3 per call hour

If forecasting matters most, Gong, HubSpot and Avoma's add-on cover it. If reps lose deals on questions they cannot answer live, look at the tools that suggest answers during the call, not only the ones that show call progress.

Real-time or post-call analysis: which do you need?

Post-call analysis is a review tool. It shows managers patterns across hundreds of calls and gives reps feedback a day later. Real-time help is a performance tool. It puts the answer, the proof point or the next question in front of the rep while the buyer is still talking.

Most teams need both, in this order of urgency: if deals stall on questions reps cannot answer, start live; if reps answer fine but discovery is shallow, start with post-call scoring and role-play. Proshort covers both, with Aria Live on the calls you choose and scoring on every call.

For the wider category, see what conversation intelligence is.

How does call analysis software increase sales revenue?

It increases revenue only through behavior change. The mechanisms are concrete:

  • More coaching per manager hour. AI finds the moments worth coaching, so managers stop scrubbing recordings. Harvard Business Review reported Sales Executive Council research concluding that "no other productivity investment comes close to coaching" (HBR).

  • Fewer repeated losses. Objections that sink deals become answers every rep can use.

  • Better qualification. Methodology gaps show up while the deal is still open.

  • Sharper win/loss reviews. Decisions rest on what buyers said, not on rep recollection.

Recording consent and privacy

Call analysis depends on recording, so consent comes first. Google Meet notifies participants when recording starts or stops (Google Meet Help). Microsoft Teams admins can require explicit consent before a participant is recorded or transcribed (Microsoft Learn). Under UK GDPR, the ICO says organizations must tell people they are recording a call and why. Proshort handles consent per region and is SOC 2 Type 2 and ISO 27001 certified and HIPAA compliant.

Which sales teams need Proshort's in-flow coaching?

In-flow coaching reaches the rep inside the work, not in a weekly review: on the call through Aria Live, and right after it through playbook scoring and role-play. Gong, Chorus and HubSpot are the stronger fit when managers coach from recordings and forecast from pipeline data. Proshort fits three kinds of teams:

  • Teams that lose deals on live questions, such as technical, security or pricing questions, where a sourced answer in under a second changes the call.

  • Teams ramping new reps who need the winning objection answer before their manager has time to review the recording.

  • Teams whose managers are stretched, where reps rehearse the better line with Aria instead of waiting for a coaching slot.

"It's effectively giving them on demand coaching without having to seek out Brian or myself to help them out with that." Elias Reynoso, Head of Revenue Operations, Vitable Health (read the Vitable Health case study)

Objections are tracked by objection and intent intelligence, Ask Aria answers questions such as "Who needs coaching this week?" with sources, and existing Gong, Chorus or Fireflies recordings migrate during onboarding.

Pricing is $75 per rep per month, with Aria Live at $3 per call hour on the calls you choose. It is not the right tool for every team. If you only need transcripts and summaries, a notetaker such as Fireflies.ai or tl;dv costs less; contact-center floors that need QA audits are better served by Convin; and if Gong is already in place and you are weighing a move, see our Gong alternatives guide.

Frequently asked questions

What is sales call analysis?

Sales call analysis is the practice of reviewing recorded or transcribed sales conversations to measure what reps and buyers said and did. AI tools now do this on every call, scoring behaviors such as discovery, objection handling and next steps so managers can coach from evidence.

What metrics should I track in sales call transcripts?

Track talk-to-listen ratio, questions asked by the rep, buyer questions left unanswered, objections raised and handled, competitor mentions, whether a next step was agreed, and methodology coverage such as MEDDICC. Each one should map to a behavior you can coach.

Which sales call analysis tools integrate with Salesforce and HubSpot?

HubSpot's conversation intelligence is native to HubSpot CRM. Gong, Avoma, Fireflies.ai and tl;dv name Salesforce and HubSpot on their own sites, Gong adds Microsoft Dynamics, and Avoma puts two-way field updates in its Revenue Intelligence add-on. Proshort (our product) connects to Salesforce, HubSpot, Microsoft Dynamics 365, Zoho CRM, Pipedrive and Freshsales.

What is the cheapest AI call analysis software?

Meeting notetakers suit teams that mainly need transcripts and summaries: Fireflies.ai Pro is $10 per seat per month, Avoma starts at $19 and tl;dv Pro at €18, all billed annually. Sales-specific platforms cost more but add coaching and deal insight; Proshort (our product) is $75 per rep per month plus $3 per Aria Live call hour.

Which ZoomInfo product analyzes sales calls?

Chorus is ZoomInfo's conversation intelligence product. It records and analyzes calls and meetings, supports onboarding and coaching, and syncs deal insights to the CRM.

Is real-time call analysis better than post-call analysis?

They solve different problems. Post-call analysis finds patterns and coaching moments; real-time help changes what the rep says while the buyer is listening. Teams that lose deals on live questions should start with real-time help.

To see your own calls scored against your playbook, book a Proshort walkthrough.

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