Conductor Introduces AgentStack for AI-Driven Search Visibility

Conductor Unveils AgentStack to Enhance AI Search Capabilities

Conductor has introduced AgentStack, a platform that enables brands to scale AI-driven search visibility using turnkey agents and custom workflows, according to Demand Gen Report. The tool supports Answer Engine Optimization (AEO), a practice aimed at ensuring brands appear in AI-generated answers on platforms like ChatGPT and Claude. This launch includes a new enterprise suite of native Large Language Models (LLM) apps, developer infrastructure, and turnkey agents designed to help brands build, manage, and scale their visibility across AI-driven search experiences.

The Rise of AEO in AI Search

The shift to AI search has created AEO as a new discipline, where brands must ensure their presence in AI-generated answers, as traditional searches are increasingly consolidated into single interactions. Brands are reallocating budget and resources toward AEO to maintain visibility, with those failing to invest risking obsolescence. Conductor’s AgentStack allows B2B marketers to deploy agentic workflows for AEO at enterprise scale through integrations like APIs, the MCP server, and LLM apps in ChatGPT, Claude, and Copilot.

Why AgentStack Addresses Current Marketing Needs

Conductor’s new suite emerges as AI reinvents marketing technology, offering AI-powered agents that can be customized and deployed on demand, allowing teams to build agentic systems tailored to specific needs. According to Demand Gen Report, Seth Besmertnik, Co-Founder and CEO of Conductor, stated that connecting Conductor’s MCP to AI platforms can reduce reporting time significantly while enhancing the production of AI search-optimized content across various channels. This infrastructure provides access to unified intelligence, enabling automation of marketing tasks based on intent, content, and technical signals from a single software stack.

Capabilities and Adoption by B2B Teams

B2B marketing teams can use AgentStack to generate automated presentations from AI visibility data, track brand sentiment in real time, and optimize content to address competitor gaps quickly, according to Demand Gen Report. Technical teams can monitor AI crawler access to pages to ensure discoverability and resolve issues promptly. Leading agencies and providers such as Optimizely, Razorfish, Havas, and IBM are already building on AgentStack, with IBM’s Alexis Zamkow noting it provides the data foundation for real-time adaptation in AI-driven experiences. AgentStack also introduces turnkey agents that enable content teams to move from insights to optimized, published content in under three minutes without requiring technical expertise.