Conductor Launches AgentStack to Help Marketers Win in AI Search
Conductor released AgentStack, a suite of AI agents and developer tools designed to help B2B marketing teams secure visibility in AI-generated search results. The platform addresses a shift in how search works: instead of users clicking through multiple results, AI systems like ChatGPT and Claude now answer questions directly, often citing specific sources.
Brands that don't appear in those AI-generated answers risk invisibility. Conductor calls this challenge Answer Engine Optimization (AEO)-ensuring your company gets cited and trusted when AI systems answer customer questions.
What AgentStack Does
The platform combines three components: native generative AI and LLM applications, APIs, and turnkey agents that run on ChatGPT, Claude, and Copilot. Marketing teams connect Conductor's infrastructure to their AI platform and build custom workflows in a single day.
Conductor's CEO Seth Besmertnik said the approach cuts reporting time by 90% and increases content production speed by 100x across emails, blog posts, and product pages.
The turnkey agents require no prompt engineering or technical expertise. Teams move from identifying gaps in AI visibility to publishing optimized content in under three minutes using a point-and-click interface.
What Marketers Can Actually Do
B2B teams can now generate board-ready presentations based on real AI visibility data. They can track how their brand appears in AI-generated answers in real time and identify which topics competitors are winning on.
Once gaps are identified, teams optimize content to fill them. Technical teams can also monitor whether AI crawlers can access key pages and fix access issues before they hurt visibility.
Early Adoption
Optimizely, Razorfish, Havas, and IBM are already building on AgentStack for their clients. IBM's Alexis Zamkow said the unified data foundation lets marketers build systems that adapt across AI experiences in real time.
Conductor spent four years building the underlying data engine that connects intent signals, content signals, and technical signals across both AI systems and traditional search.
The shift reflects a broader change in how marketing technology works. Instead of adapting workflows to pre-built software, teams now build custom agents tailored to their exact needs. AI for marketing increasingly means working with systems that adjust automatically rather than static tools.
Your membership also unlocks:
