Sales & CRM / Conversation Intelligence Software

Attention Review, Pricing, Pros & Cons

Attention is an AI-native revenue platform that analyzes sales conversations, scores calls, automates CRM updates, and supports coaching and deal workflows.

Research by Global Tool Radar Research SystemEvidence checked: Aug 7, 2026AI-assisted · No Global Tool Radar hands-on testView research methodology

Buying snapshot

Quick buying snapshot

A compact view of who this tool fits, what it costs, and what to confirm before choosing it.

Best for
  • Sales leadership wants every call evaluated against its own methodology: Attention supports standard and custom scorecards, multiple scorecards per call, post-call recommendations, and analytics across reps and teams.
  • Revenue operations needs conversation data written into Salesforce or HubSpot: Attention can extract configurable conversation-level and deal-level fields and sync them automatically or through a user action.
  • Managers need evidence-linked answers across many sales calls: Ask Attention searches transcripts, CRM notes, and connected knowledge sources and links answers to relevant call moments.
  • The organization needs conversation-grounded deal and pipeline inspection: Attention uses call content, rep behavior, buyer engagement, and conversation patterns to produce deal scores and pipeline signals.
  • A global team needs multilingual sales-call capture: The official recording page states transcription and translation support for more than 100 languages.
Not for
  • The buyer requires transparent self-service pricing before speaking with sales: No current public numeric price, pricing page, billing schedule, or contract term was verified.
  • Meeting policies prohibit a recording bot or require every recorder to operate without joining as a participant: Attention documentation describes a notetaker participant and Recording seats whose bot joins live meetings.
  • The primary need is general-purpose, non-sales meeting notes: The reviewed official product is consistently positioned around sales calls, revenue teams, coaching, CRM data, deals, and forecasting.
Pricing
  • Sales-led custom quote. Official documentation identifies Recording and Listener seat types, but no public prices or commercial rules were verified.
  • Attention · Requires quote · Sales inquiry required · custom quote
Free or trial access
  • No current public free trial was verified. Get started, Book a call, and demo-style calls to action are not treated as trials.

Product scope

Product functionality and purchase scope

An AI-native sales conversation intelligence platform for recording and transcribing calls, evaluating rep performance, finding cross-call insights, inspecting deal risk, and acting on conversation data through connected sales systems.

Product checked: Aug 7, 2026

Functionality reviewed
  • Sales meeting and call recording, transcription, summaries, speaker identification, search, sharing, and multilingual translation
  • Custom AI coaching scorecards, post-call recommendations, rep comparisons, and team analytics
  • Cross-call questions, evidence-linked insights, win-loss patterns, deal scores, and conversation-grounded pipeline inspection
  • Real-time sales guidance described for enterprise deployments
  • Supporting CRM, meeting-platform, telephony, Slack, API, and workflow integrations where officially documented
Non-target functionality excluded from scoring
  • Standalone evaluation of Attention AI Sales Agents, Super Agent, Claude Connector, MCP server, and the general workflow builder beyond their relationship to conversation data
  • General CRM administration, email automation, or forecasting capabilities not grounded in captured conversations
  • Customer-specific implementations, custom integrations, professional services, and contractual security terms
  • Unpublished plan entitlements, prices, usage allowances, implementation charges, and commercial terms

Pricing plans

Attention pricing table

Pricing checked: Aug 7, 2026

Official factConfidence 46%2 linked sources

Attention does not publish a verified numeric price on the reviewed current product, documentation, or security pages. Currency, seat prices, payment timing, commitment term, minimum quantity, usage allowances, implementation fees, renewal terms, and prices for adjacent modules remain unstated.

Pricing cautions
  • Seat types are documented without prices: Recording and Listener seats have different operational permissions, but their rates, allocation rules, and packaging are not public.
  • Adjacent module packaging is unclear: Attention markets AI Sales Agents, Super Agent, CRM automation, forecasting, follow-up automation, API access, and workflow tooling, but public sources do not establish whether each is included, separately priced, or usage-limited.
  • Implementation and integration costs are not disclosed: Official enterprise material describes custom setup and personalized CRM configuration without publishing charges or minimum commitments.
PlanPriceKey differencesBest for
AttentionSupporting pricing evidence
  • Requires quote · Sales inquiry required · custom quote
  • Recording seat: Can have the Attention bot join and record live meetings; The public documentation does not state its price or commercial entitlement rules.
  • Listener seat: Can view, search, and analyze existing recordings but cannot start recordings; The public documentation does not state its price or commercial entitlement rules.
Sales and revenue organizations needing configurable conversation capture, coaching, cross-call analysis, deal inspection, and connected workflows.

Product scope

What is included, connected, or sold separately

Material capabilities are separated by their verified relationship to the target product.

Automatic call recording, transcription, and summariesIncluded capability

The official product page presents these as core Attention capabilities.

Custom AI coaching scorecards and performance analyticsIncluded capability

Official product and documentation sources describe configurable scorecards, automatic scoring, and analytics.

Deal scores and pipeline signals derived from conversationsIncluded capability

The reporting product states that deal scores analyze call content, rep behavior, buyer engagement, and conversation patterns.

Evidence-linked questions and analysis across conversationsIncluded capability

Attention searches transcripts and connected knowledge and links answers to call snippets.

Real-time sales coaching using the buyer's methodologyIncluded capability

Enterprise and security pages describe real-time coaching, battlecards, and live talk tracks; public packaging is not stated.

Transcription and translation in more than 100 languagesIncluded capability

The official page states support for more than 100 languages.

HubSpot field mapping, call data, and workflow integrationNative integration

Official documentation and the integration page describe mapped CRM updates and conversation-data synchronization.

HubSpot
Microsoft Dynamics CRM call and deal data integrationNative integration

The official integration page describes call logging, transcription, coaching data, and deal-status updates.

Microsoft Dynamics CRM
Salesforce two-way sync and configurable field updatesNative integration

Official documentation provides setup, permissions, mapping, and update workflows.

Salesforce
Slack summaries, questions, and workflow actionsNative integration

Official sources describe querying sales data through Slack and sending generated call summaries through workflow actions.

Slack
Zoom Phone recording ingestionNative integration

Official setup documentation explains automatic recording and access requirements.

Zoom Phone
AI Sales Agents, Super Agent, MCP, API, and general workflow automationRelationship not verified

These are marketed within the broader Attention platform, but public sources do not establish their pricing, entitlement, or whether each module is included in every conversation-intelligence purchase.

Plan: Attention: Not verifiedAttention AI Sales Agents and Super Agent

Scoring method

How the score is calculated

The score uses the category-specific buying dimensions below and their displayed weights.

This page is based on public product information, official sources, structured feature data, and multi-model AI evaluation. It is not a hands-on lab test unless explicitly stated.

Evidence confidence
82%
AI claim confidence
79%
Required-field evidence status
100%
Evidence freshness
88%
Field traceability
100%
Model agreement
95%
Why this confidence level
  • Evidence confidence uses source level and claim-to-source support; AI claim confidence is shown separately.
  • Required-field evidence status measures whether weighted required claims have evidence links; it does not mean every product behavior was independently verified.
  • 8 of 8 weighted claims have evidence links.
  • 5 A1 documentary official sources and 6 A2 official product sources are linked.
  • 1 independent review sources are retained, including 0 professional sources with an explicit hands-on method.
  • No weighted claim is past the review window.
  • No blocking evidence conflict was identified.
Conversation insight quality20%
87

Cross-call questions over transcripts, CRM notes, and connected knowledge sources, plus summaries and conversation analysis, let teams retrieve answers and patterns across many calls rather than reviewing recordings one by one.

Coaching workflow effectiveness15%
89

The product supports custom AI coaching scorecards, post-call recommendations, call tags, team comparisons, and role-based access, which fits structured coaching programs; the score is kept below the top range because the supplied facts do not show full workflow automation for every coaching step.

Transcription and speaker accuracy15%
84

The product supports transcription, speaker identification, and translation across more than 100 languages, which points to broad transcription utility; the score is moderated because the supplied facts do not state measured accuracy results or quality benchmarks.

Conversation capture coverage12%
86

Supports automatic meeting recording across Zoom, Google Meet, and Microsoft Teams, though the commercial entitlement rules and pricing differences between Recording and Listener seats are not publicly disclosed.

Deal signal usefulness12%
86

Derives pipeline scores and identifies deal risk based on conversation content and buyer engagement patterns, aiding forecasting accuracy.

Privacy and recording compliance10%
77

The product provides recording notices, permission settings, encryption, audit logging, and public compliance claims, which supports privacy-oriented review; the score is limited because the buyer must still confirm legal consent obligations, BAA needs, retention rules, and contract terms for its own environment.

CRM and meeting workflow sync8%
81

Verified Salesforce and HubSpot field mapping and sync, configurable conversation-level and deal-level extraction, described Microsoft Dynamics CRM support, and Slack workflow actions connect calls to CRM and collaboration tools, while Salesforce setup requires elevated administrative and API permissions.

Search and collaboration8%
82

Searchable recordings with comments, snippets, secure sharing, and links to exact call moments let managers and peers review specific passages and share coaching examples without circulating full recordings unnecessarily.

Public review signals

Attention has a 4. 6/5 exact-product rating on G2 from 67 reviews.

The retained current aggregate is G2's exact Attention listing at 4. 6/5 from 67 reviews. Visible G2 review synthesis and recent review text emphasize time savings, automated CRM and follow-up workflows, call summaries, coaching insights, customization, and responsive support. Reported friction includes complex workflow setup, occasional search or processing delays, transcription or entity-recognition errors, CRM logging issues, and AI outputs that sometimes need tuning.

Public review signals updated: Aug 7, 2026

Commonly reported strengths

  • Automated CRM updates, follow-up drafting, and background workflows reduce sales administration.
  • Call summaries, cross-call questions, scorecards, and coaching insights help reps and managers act on conversations.
  • Customization, integrations, and responsive support are praised in multiple visible recent reviews.

Commonly reported concerns

  • Complex workflows and initial implementation can require careful setup or specialist help.
  • Some reviewers report slow processing, search friction, or delays before recordings and insights appear.
  • Transcription, names, CRM logging, scorecards, and generated insights can occasionally need correction or tuning.
G24.6/5
Review count
67 reviews
Source context
Attention on G2Exact product
View sourceHistory baseline established: Aug 7, 2026
Score85
Pricing modelSales-led custom quote. Official documentation identifies Recording and Listener seat types, but no public prices or commercial rules were verified.
Use caseSales call coaching, Meeting transcription and analysis
Company sizeEnterprise
Structured tags

Attention tag profile

Company size
  • Enterprise
Business function
  • Sales enablement teams
  • Sales leadership
  • Account executives
  • Revenue operations
Use case
  • Sales call coaching
  • Meeting transcription and analysis
  • Deal risk inspection
  • Rep training and onboarding
Industry
  • Healthcare and life sciences
Integration ecosystem
  • Salesforce
  • HubSpot
  • Slack
  • Microsoft Dynamics
  • Telephony and VoIP
Compliance requirement
  • Call recording consent
  • SOC 2 or ISO 27001 security
  • HIPAA
  • GDPR and CCPA customer privacy
Key features

Attention core capabilities

  • Automatic call recording, transcription, summaries, speaker identification, and searchable recordings
  • Transcription and translation across more than 100 languages
  • Comments, snippets, secure sharing, and links to exact call moments
  • Custom AI coaching scorecards, post-call recommendations, and rep and team analytics
  • Cross-call questions over transcripts, CRM notes, and connected knowledge sources
  • Conversation-grounded deal scores, pipeline reporting, and forecasting signals
Detailed strengths and purchase cautions
Pros

Why it is worth considering

  • Automatic bot recording, transcription, speaker identification, summaries, and searchable archives across Zoom, Google Meet, and Microsoft Teams reduce manual note-taking for account executives after live meetings.
  • Teams can define custom AI coaching scorecards with their own criteria, weights, call tags, score ranges, or established frameworks, then use post-call recommendations and rep and team analytics for structured coaching.
  • Conversation content, rep behavior, buyer engagement, and activity patterns feed deal scores, pipeline reporting, and forecasting signals that help leaders inspect risk and trend direction.
  • Configurable extraction can map conversation-level and deal-level fields into Salesforce and HubSpot, with Microsoft Dynamics CRM, Slack actions, meeting-platform, telephony, API, and workflow connectivity also described for revenue operations.
Cons

What to confirm before buying

  • Pricing requires a custom quote with no verified public seat rates, billing cadence, commitment term, minimum quantity, implementation fees, or renewal terms, so total cost cannot be benchmarked from public materials.
  • Recording seats can join and record live meetings while Listener seats can only review and analyze existing recordings, yet rates and allocation rules for both seat types remain undisclosed.
  • Customers remain responsible for complying with applicable call-recording laws even though the product supplies recording notices and permission settings.
  • Salesforce setup requires Attention administrative access plus substantial Salesforce permissions including API access and elevated configuration rights, which can extend security review and implementation effort.

Multi-AI review

Cross-model buying perspectives

Multiple AI models assess this tool against the same buying criteria, so you can compare scores, confidence, fit, cautions, and final views.

AI assessment updated: Aug 8, 2026

Score comparisonGeminiGPTxAIRange
Conversation insight quality8591866
Coaching workflow effectiveness9089882
Transcription and speaker accuracy90847812
Conversation capture coverage8590846
Deal signal usefulness8587852
Privacy and recording compliance8076764
Search and collaboration8579836
CRM and meeting workflow sync8082812
Where models differ
  • Transcription and speaker accuracy: 7890 (12-point range)
  • Conversation capture coverage: 8490 (6-point range)
  • Conversation insight quality: 8591 (6-point range)
GeminiAI-assisted buyer perspective85

Attention is an AI-native conversation intelligence platform best suited for revenue organizations that want to automate CRM field mapping, configure coaching scorecards, and extract deal risks from sales calls, provided they can accommodate a custom-quoted pricing model and high-permission Salesforce integration.

Review confidence
85/100
Model details
Strengths
  • Supports multi-language operations with transcription and translation capabilities spanning more than 100 languages.
  • Enables performance management through configurable coaching scorecards, custom call tags, and rep analytics.
  • Automates CRM maintenance by allowing configurable extraction of conversation-level and deal-level fields for Salesforce and HubSpot.
Cautions
  • Maintains an opaque commercial structure with zero public pricing, undisclosed seat rates, and unstated commitment terms.
  • Requires administrative setup and elevated configuration permissions to establish Salesforce integration.
  • Leaves packaging and usage limits for adjacent modules like AI Sales Agents, forecasting, and follow-up automation unstated.
GPTAI-assisted buyer perspective85

Attention fits sales and revenue teams that want call capture, transcript-based coaching, cross-call analysis, deal inspection, and connected CRM workflows, but it is a quote-based purchase with unpublished seat economics and contract terms.

Review confidence
85/100
Model details
Strengths
  • It supports recording, transcription, summaries, speaker identification, and searchable recordings for sales conversations.
  • It supports custom coaching scorecards, post-call recommendations, and rep and team analytics for coaching workflows.
  • It supports conversation-grounded deal scores, pipeline reporting, and forecasting signals for deal review use cases.
  • It supports Salesforce, HubSpot, Microsoft Dynamics, Slack, meeting-platform, telephony, API, and workflow connectivity for revenue operations.
Cautions
  • It does not publish verified numeric pricing, contract duration, billing cadence, minimum quantity, implementation fees, or renewal terms.
  • Recording-seat and Listener-seat pricing and allocation rules are not public.
  • Salesforce setup requires Attention administrative access and substantial Salesforce permissions, including API access and elevated configuration permissions.
  • Customers remain responsible for complying with applicable call-recording laws despite the product's notices and permission settings.
xAIAI-assisted buyer perspective83

Attention fits sales and revenue teams that need bot-based capture of Zoom, Google Meet, and Microsoft Teams calls with custom coaching scorecards, conversation-grounded deal scores, and Salesforce or HubSpot field sync, provided the buyer can complete a custom quote and accept recording-bot join behavior plus ongoing consent compliance responsibility.

Review confidence
83/100
Model details
Strengths
  • Automatic bot recording, transcription, speaker identification, summaries, and searchable archives across Zoom, Google Meet, and Microsoft Teams reduce manual note-taking for account executives after live meetings.
  • Teams can define custom AI coaching scorecards with their own criteria, weights, call tags, score ranges, or established frameworks, then use post-call recommendations and rep and team analytics for structured coaching.
  • Conversation content, rep behavior, buyer engagement, and activity patterns feed deal scores, pipeline reporting, and forecasting signals that help leaders inspect risk and trend direction.
  • Configurable extraction can map conversation-level and deal-level fields into Salesforce and HubSpot, with Microsoft Dynamics CRM, Slack actions, meeting-platform, telephony, API, and workflow connectivity also described for revenue operations.
Cautions
  • Pricing requires a custom quote with no verified public seat rates, billing cadence, commitment term, minimum quantity, implementation fees, or renewal terms, so total cost cannot be benchmarked from public materials.
  • Recording seats can join and record live meetings while Listener seats can only review and analyze existing recordings, yet rates and allocation rules for both seat types remain undisclosed.
  • Customers remain responsible for complying with applicable call-recording laws even though the product supplies recording notices and permission settings.
  • Salesforce setup requires Attention administrative access plus substantial Salesforce permissions including API access and elevated configuration rights, which can extend security review and implementation effort.

Research transparency

How this page was researched

A compact record of the evidence used, what was not tested, and which conclusions still need verification.

Official sources
11
Broad product review sources
1
Marketplace and app-store sources
0
Editorial sources
0
Latest evidence check
Aug 7, 2026
Research basis

Global Tool Radar generated this assessment from structured facts linked to public sources. No Global Tool Radar hands-on test is recorded in this page's research data. Any external hands-on assessment is identified separately and does not affect the Global Tool Radar score.

Conflict handling

No unresolved evidence conflict is currently recorded.

View research methodology
Verified findingsAutomatic call recording, transcription, summaries, speaker identification, and searchable recordings Transcription and translation across more than 100 languages Comments, snippets, secure sharing, and links to exact call moments Custom AI coaching scorecards, post-call recommendations, and rep and team analytics Cross-call questions over transcripts, CRM notes, and connected knowledge sources Conversation-grounded deal scores, pipeline reporting, and forecasting signals Configurable extraction of conversation-level and deal-level CRM fields Recording and Listener seat types with role-based Sales Rep, Manager, and Admin access Salesforce, HubSpot, Microsoft Dynamics, Slack, meeting-platform, telephony, API, and workflow connectivity Recording notices, permission settings, encryption, audit logging, and public compliance claims
  • No current public free trial was verified. Get started, Book a call, and demo-style calls to action are not treated as trials.
  • Sales-led custom quote. Official documentation identifies Recording and Listener seat types, but no public prices or commercial rules were verified.
  • Requires quote
  • Attention does not publish a verified numeric price on the reviewed current product, documentation, or security pages. Currency, seat prices, payment timing, commitment term, minimum quantity, usage allowances, implementation fees, renewal terms, and prices for adjacent modules remain unstated.
Verification notes and unresolved itemsVerified on 2026-08-08 using current official product, documentation, security, privacy, enterprise, integration, and status sources.
  • No accessible official pricing page or public numeric amount was found.
  • The resulting quote-plan classification and Requires quote starting price follow the supplied research rule
  • currency, billing, commitment, minimum seats, implementation fees, usage charges, renewal terms, and adjacent-module packaging remain unverified.
  • No current free trial was verified, and sales calls to action were not treated as trials.

Sources checked

Attention source links

FAQ

Attention FAQ

What does Attention do?

It records and transcribes sales conversations, analyzes calls, scores rep performance, answers questions across conversations, surfaces deal signals, and can send extracted data into connected systems.

Does Attention record and transcribe meetings?

Yes. It integrates with platforms including Zoom, Google Meet, and Microsoft Teams to record, transcribe, and summarize meetings, with speaker identification and support for more than 100 languages.

Can teams create custom coaching scorecards?

Yes. Teams can define their own scoring criteria, weights, teams, call tags, and score ranges, or use established sales frameworks.

Does Attention support deal-risk inspection?

Yes. Its reporting product uses conversation content, rep behavior, buyer engagement, and activity patterns to produce deal scores and show how deals are trending.

Which CRM integrations are verified?

Current official sources verify Salesforce and HubSpot field mapping and sync. Official integration pages also describe Microsoft Dynamics CRM, while workflow documentation supports Slack actions.

What is the difference between Recording and Listener seats?

Recording seats can have Attention join and record live meetings. Listener seats can review, search, and analyze existing recordings but cannot initiate recordings.

Is there a free trial?

No current public trial was verified. A demo, Book a call, or Get started lead form is not treated as a free trial.

How much does Attention cost?

A public numeric amount was not verified. Pricing requires a custom quote, and public sources do not state billing cadence, commitment, minimum seats, or implementation charges.

Popular comparisons

Common Attention comparisons

Only high-scoring and nearby tools from the same subcategory are shown, avoiding comparisons between unrelated use cases.