Key Takeaways
- Seismic introduced Deal Agent and Library Agent at Seismic Shift 2026 to help revenue teams surface deal risks and keep the content sellers and AI rely on accurate and governed.
- Through Seismic Everywhere and its MCP server, Seismic is bringing its content, workflows and agents into AI assistants from Anthropic, OpenAI, Google and Meta, plus tools like Canva, ServiceNow, Microsoft and Slack.
Seismic unveiled new capabilities at Seismic Shift 2026 to help teams act on trusted go-to-market (GTM) insights across the revenue process.
The company may two additions to Seismic’s portfolio of AI agents, Deal Agent and Library Agent, along with new ecosystem integrations and expanded MCP-powered workflows under Seismic Everywhere, which embeds Seismic into every revenue touchpoint.
Additionally, the company previewed Seismic Context Graph, designed to connect GTM activity with business outcomes in a single view so teams can scale what works.
What Is Seismic’s Vision for Agentic Revenue Execution?
These announcements advance Seismic’s vision for agentic revenue execution at enterprise scale, bringing trusted context, guidance and action into the flow of work for a customer base that includes more than one-third of the Fortune 100, according to Rob Tarkoff, Chief Executive Officer, Seismic.
“AI gives teams speed, but speed without control is not a growth strategy,” said Tarkoff in a statement. “Seismic is bringing trusted content and context, role-based agents and actionable guidance into the systems people already use, with governance built into every step. That’s how we turn preparation into performance and help teams act in the moments that matter.”
How Do Seismic’s New Deal Agent and Library Agent Work?
With Seismic AI, organizations gain greater control over how AI experiences are branded, governed and managed, with support for multiple agents, languages and models. Grounded in each organization’s own governed content, customer interactions and engagement signals, it uses real company context to power AI experiences across the platform.
Seismic’s growing portfolio of role-based agents puts that context to work by automating complex, time-intensive tasks so teams can spend more time engaging customers and execute consistently at scale. At Shift, Seismic introduced two new agents focused on keeping company knowledge accurate and compliant, and improving execution in active deals:
- Deal Agent, now available in both the Highspot by Seismic and Seismic platforms, brings together CRM activity, meetings, emails and buyer engagement to give sellers and managers a complete view of deal context. It surfaces risks, missing stakeholders and next-best actions so teams can make sharper decisions while the opportunity is still in motion.
- Library Agent helps keep the company knowledge that sellers and AI rely on current and governed. It identifies outdated, conflicting or missing messaging and helps teams manage metadata, content controls and expiration. The agent surfaces recommended changes for review and approval before updating content.
How Do Seismic Everywhere and Context Graph Extend AI Across the Revenue Tech Stack?
As for Seismic Everywhere, it is being touted as helping customers get more from their existing technology investments by bringing Seismic content, intelligence, permissions, workflows and agents into the tools revenue teams already use. Seismic’s MCP server and headless architecture make these capabilities available through leading AI models and assistants from Anthropic, Open AI, Google and Meta.
Seismic announced integrations across key points of go-to-market execution that bring its content, guidance and workflows into more of the systems revenue teams use that include Canva, ServiceNow, Microsoft, and Slack
Additionally, there was a demonstration of Context Graph, an intelligence layer that builds on the context customers already have through governed content, agents and Seismic Everywhere. It will connect people, content, customer interactions, behaviors and outcomes in a unified view, so every decision is better informed, teams can scale what’s working, and the system improves continuously.
