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ByHeather MacAvelia·Independently reviewed·Published Mar 19, 2026·Updated Jul 16, 2026
Independently verified against live vendor data on Jul 16, 2026.

AI agents that learn from sales conversations to automate follow-ups, next steps, CRM updates, and coaching. 4.6 stars G2. Custom enterprise pricing, typically $25K-$200K+/year.

How we scored it

Autonomy

4/5

Integrations

4/5

Pricing clarity

2/5

Evidence

4/5

Setup

2/5

The facts

From

Custom

custom

GitHub

Stars

G2

4.6 / 5

67 reviews ↗

MCP

⚡ Server

Exposes server

Reviews

Be the first →

Attention is the AI agent platform purpose-built for sales conversation intelligence, capturing every sales touchpoint (calls, emails, meetings) and using AI to automate follow-ups, next steps, CRM updates, and coaching workflows. Founded with a focus on sales conversation automation, Attention has grown into a competitive specialized brand in the sales conversation intelligence and AI agent category alongside Gong, Chorus, and Clari Copilot, with positioning around AI agents that learn from your best sales conversations. The platform has an official MCP Server that connects Claude, ChatGPT, and other LLM clients directly to Attention workspace data for natural language access to call search, deal analysis, scorecard configuration, and team management. Pricing is enterprise-only with no public self-serve tier. Public benchmarks place Attention deployments in the $25,000-$200,000+ per year range depending on team size, integration scope, and feature selection. Implementation typically runs 2-6 weeks including CRM integration (Salesforce, HubSpot, Microsoft Dynamics), conversation capture setup, AI agent configuration, coaching workflow design, and revenue team rollout. Attention's differentiation versus Gong, Chorus, and Clari Copilot is the AI agent positioning combined with workflow automation depth. Rather than positioning around conversation analytics (Gong, Chorus pattern) or pipeline insights (Clari Copilot pattern), Attention is built around AI agents that take action on sales conversations: automating follow-ups, generating next steps, updating CRM fields, and providing coaching. This produces materially better workflow productivity for sales reps than analytics-only tools that require humans to act on insights. Attention is not the right fit for SMB sales teams that cannot justify $25K+/year, teams that need fully public pricing for budget approval workflows, or organizations that want simple conversation recording without the agent automation layer. Attention capabilities include sales conversation capture across calls, emails, and meetings; AI-powered automation of follow-ups and next steps; AI CRM updates eliminating manual data entry; AI coaching with conversation patterns from top performers; integration with major CRMs and sales engagement platforms; and revenue team analytics. Attention is SOC 2 Type II certified, HIPAA compliant, and GDPR compliant. Current state Q3 2026: Attention sells on enterprise quote-only contracts with no public self-serve pricing, with reported deployments from roughly $25,000 to over $200,000 per year. Its differentiator is action-taking AI agents that draft follow-ups, extract next steps, and update the CRM from every sales conversation, rather than the analytics-only posture of Gong and Chorus. Attention publishes an official MCP server that lets Claude, ChatGPT, and other clients query call, deal, and scorecard data directly. It holds SOC 2 Type II, HIPAA, and GDPR and carries a 4.6 out of 5 rating across 67 G2 reviews.

Pricing

custom

Segment

b2b

Setup

easy

Verified

Jul 16, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Trained

Human in loop

Optional

Capabilities

conversation-intelligencecrm-syncreportingoutbound-automationforecasting

Pros & Limitations

Editorial assessment

Pros

  • AI agent positioning with workflow automation is genuinely differentiated: Attention takes action on conversations (follow-ups, next steps, CRM updates) rather than just analyzing them, materially better productivity than analytics-only tools like Gong or Chorus.
  • 4.6-star G2 rating across 67 verified reviews provides strong customer validation: high satisfaction signals real-world utility across diverse sales operations, stronger validation than newer alternatives without comparable review depth.
  • Documented coaching efficiency outcomes: the Abridge case study showing 5x coaching efficiency boost provides procurement confidence, stronger than abstract capability claims for risk-averse sales operations buyers.

Limitations

  • Enterprise-only pricing inaccessible to SMB sales teams: Attention deployments at $25K+/year exclude smaller B2B teams that need lighter-weight conversation tools like Gong starter tiers or free conversation recording add-ons.
  • Smaller installed base than Gong or Chorus: Attention has solid niche positioning but lags broader sales conversation intelligence brand recognition, with fewer community resources and reference customers than category leaders.
  • AI agent autonomous workflows require sustained change management: Attention's value depends on sales reps trusting AI agents to update CRMs and generate follow-ups, meaning meaningful adoption investment beyond technology deployment.

Technical Details

Deployment
web
Model architectureProprietary
Avg setup time2-6 weeks (sales-led discovery, CRM integration, conversation capture setup, AI agent configuration, coaching workflow design, revenue team rollout)
Autonomous rateAgentic: Attention AI agents handle autonomous follow-ups, next steps, CRM updates, and coaching within configured guardrails; sales reps approve all customer-facing communications
Integrations
SalesforceHubSpotOutreachGongApolloDialpadAircallCalendlyZoomGoogle MeetSlack
Security
SOC 2 Type IIHIPAAGDPR

Similar agents

Rating

3.8/ 5

Editorial score

How we score this →

Recognition

MCP Server VerifiedListed 2026
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Industries

B2BSaaSEnterprise

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