Attention
AI sales agents that work your pipeline while you sell
By Attention · 4.9/5 Value-Position score (estimate)
Positioning guardrails
Best for
- B2B sales teams with 20+ reps that want follow-ups, CRM updates, proposals and deal alerts generated from call data
- Revenue operations leaders who need forecasting and deal health built on buyer signals rather than rep-entered fields
- Organizations already on Salesforce or HubSpot that want conversation intelligence layered onto the existing CRM
- Teams that want agentic sales workflows configured in plain language, with no code and no RevOps queue
Ideal size: 20–500 sellers people · Scale-up or enterprise with an established CRM and RevOps function
Not for
- Buyers who need published, self-serve plan pricing before a pilot
- Contact centers and support organizations looking for QA or agent-assist tooling
- Teams needing an on-premises or FedRAMP-authorized deployment
- Companies with no CRM or meeting platform to integrate
Value metrics scorecard
Time-to-Value
about 2–4 weeks
~30 days to first production value
Total Cost of Ownership
On request
Not published on the vendor site; quote-based through vendor sales
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- None
Company & support
Who is behind Attention, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Public product documentation is published at docs.attention.com. No support phone line, support email, live chat, ticket portal or SLA is stated on the pages reviewed.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Attention sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Attention
- Everstage
- Loopio
- Invoca
- Juro
- Prodigal
Add or change companies
Up to 10 companies including Attention. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Attention ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes the platform as AI-native. Evidenced: autonomous Super Agent chat, a plain-language agent builder with triggers/steps/loops, AI scorecards against MEDDIC/BANT, deal-health and escalation prediction, and AI call summaries, follow-ups and proposal drafts. Agent actions are stated to be auditable and traceable.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Not recorded
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Attention is an AI sales-agent platform for B2B revenue teams. It records meetings without a bot, transcribes and analyzes every call, scores reps against MEDDIC/BANT or custom frameworks, and drafts follow-ups, buyer outreach and proposals for rep approval. Deal health and forecasts are derived from buyer signals rather than rep-entered CRM fields. A native MCP server exposes 81 read/write tools to Claude, ChatGPT and other MCP-compatible assistants.
Frequently asked questions
What problem does Attention actually solve?
It captures every sales call, email and meeting, then uses AI agents to draft the next action — follow-up emails, buyer outreach, re-engagement and proposal terms — for the rep to approve before it sends. It also grades calls against MEDDIC, BANT or a custom framework and rolls forecasts up from buyer signals instead of rep-entered fields. It is built for B2B sales organizations, not support, marketing or clinical teams.
Does Attention train AI models on our customer conversations?
The vendor's privacy policy states it does not use data obtained through Google Workspace or Microsoft 365/Outlook APIs — or any other user data — to develop, improve or train generalized AI or machine-learning models. The security page states data is encrypted in transit with TLS 1.2/1.3 and at rest, and that customer data access is limited to authorized employees and logged. Confirm the contractual terms during procurement.
How does Attention fit our existing stack?
The vendor advertises 200+ integrations. It syncs call data into Salesforce and HubSpot, connects to Snowflake and Slack, and works with Microsoft 365/Outlook and Google Workspace data under the vendor's API data policies. Agent actions can push deal alerts to Slack and scorecards to other systems. Deployments typically start with the CRM sync plus meeting-platform capture.
Can we use our own AI assistant, like Claude or ChatGPT, with Attention?
Yes. Attention ships an official MCP server: add the connector, complete the OAuth flow, and any MCP-compatible assistant can search calls, run analysis, review scorecards and take write actions subject to the same permissions as the signed-in user. Write tools require the mcp:write scope and often admin role, and destructive tools are flagged. On Team and Enterprise plans an organization Owner must enable the connector first.
What compliance certifications does Attention hold?
The vendor's security page states SOC 2 Type II compliance, independently audited against the Trust Services Criteria for Security, Confidentiality and Availability, and HIPAA compliance with a Business Associate Agreement available for healthcare customers. Annual penetration tests and company-wide security training are also described. No ISO 27001, FedRAMP, ISO 42001 or CMMC claim appears on the pages reviewed.
How is Attention priced?
Plan pricing is not published on the vendor pages we reviewed; the site routes buyers through a 'Get started' form. Buyers should expect a per-seat or contract quote from sales, and should confirm whether AI agent usage, MCP access or premium integrations carry separate credits before signing.