What Attention changed

• Added "AI Sales Agents" that automate follow-ups, buyer outreach, and deal nudges.
• Launched "MCP Server" to give external AI tools (like ChatGPT or Claude) direct access to revenue data.
• Introduced "Botless Recording" to capture meetings without a visible recording bot.
• Added "AI Scorecards" for automated sales coaching based on frameworks like MEDDIC or BANT.
• Published new case studies from customers like Lovable, Abridge, and Preply.
• Added a comparison section targeting competitors like Gong, Fathom, and Sybill.

Attention is moving beyond simple call recording to active sales automation. They now offer tools that draft emails, update CRMs, and allow other AI models to access live sales data, which directly competes with traditional sales enablement and RevOps tools.

• Removed the main headline about AI agents and pipeline management.
• Deleted all detailed product sections including AI Sales Agents, MCP Server, and Botless Recording.
• Removed all customer case studies from companies like Preply, Abridge, and Lovable.
• Deleted the entire navigation menu and footer containing links to features, pricing, and comparisons.
• Replaced the full homepage with a simple "Get Started" form and error messages.

The website has been stripped of almost all information, including product descriptions, case studies, and navigation links. This usually happens during a major brand relaunch, a pivot, or a technical site failure.

• Added "AI Sales Agents" that can draft follow-ups, re-engage stalled deals, and create sales decks.
• Launched an MCP Server to allow tools like Claude and ChatGPT to access revenue data directly.
• Introduced "Botless recording" to capture meetings without a visible recording bot.
• Added a new "Proactive AI" section highlighting automated deal nudges and proposal drafting.
• Updated the homepage with specific use cases for RevOps, Marketing, and Sales Enablement.
• Added a comparison table positioning the product against "Legacy" competitors.

Attention is moving beyond simple call recording to active workflow automation. By adding AI agents that draft emails and an MCP server for developer tools, they are positioning themselves as an "action layer" that executes tasks rather than just a dashboard that reports data.