Conductor launches AgentStack for AI search visibility

Conductor has launched AgentStack for enterprise customers, a new suite designed to manage brand visibility in AI-driven search services.

The product combines native large language model applications, developer tools and pre-built agents for what Conductor calls Answer Engine Optimisation, or AEO. It is intended to help brands build and run workflows that track how they appear in AI-generated answers and create content in response.

The launch reflects a broader shift in search and discovery as consumers increasingly use tools such as ChatGPT and Claude to research products and services. Conductor argues this is driving demand for software that helps companies monitor citations, sentiment and discoverability across AI platforms as well as conventional search engines.

AgentStack includes APIs, an MCP server and integrations for ChatGPT, Claude and Copilot. Enterprises and partners can use these tools to build applications and agents on top of Conductor's underlying data engine.

Seth Besmertnik, co-founder and chief executive officer of Conductor, highlighted how quickly clients can deploy custom versions of the software. "Once you connect Conductor's MCP to your AI platform or deploy our native connectors, you can build a custom version of our application in a day. Reduce reporting time by 90% while improving output. 100x your ability to produce AI search-optimized content across emails, blog posts, and product pages. You're only limited by your imagination. And even there, we help with use case libraries and skills guides," he said.

According to Conductor, teams can use the system to generate presentation materials based on AI visibility data, monitor brand sentiment across AI platforms and identify topics where competitors are gaining ground in AI-generated answers. Technical teams can also check whether AI crawlers can access key pages and address issues before visibility is affected.

Partner interest

Agencies and technology providers including Optimizely, Razorfish, Havas and IBM are already building on AgentStack for client work, according to Conductor. This suggests the company is positioning the product not only as enterprise software but also as infrastructure for marketing services groups and technology partners.

Alexis Zamkow, global offering lead for marketing transformation at IBM, linked that approach to the growing use of AI agents in marketing operations. "As AI agents become central to how enterprise marketing gets done, access to reliable, unified intelligence becomes essential. Conductor's agent infrastructure provides the data foundation needed to build systems that adapt in real time across AI-driven experiences," Zamkow said.

Conductor says it has spent four years building the data foundations behind the new suite. Its platform brings together intent, content and technical signals that affect how brands surface across both AI systems and traditional search.

That unified data model is central to Conductor's argument that AI agents are useful only when linked to current, structured information. In practice, this means marketing teams can combine search visibility data with content workflows and technical monitoring in one system rather than across separate tools.

Wei Zheng, chief product officer at Conductor, said that data layer is what makes automation useful in this setting. "Agents are only as powerful as the intelligence behind them. Conductor brings together the signals that determine discoverability across AI systems and search engines. That intelligence is what enables agents to automate meaningful marketing work," Zheng said.

Turnkey tools

The launch also introduces Conductor's first turnkey agents. These tools are intended for content teams and are designed to move from insight to published, optimised content in less than three minutes without prompt engineering or technical setup.

Conductor is entering a market in which software suppliers, agencies and in-house teams are all trying to define how brands should respond to AI-generated search results. Its pitch is that marketers will need systems that do more than improve website rankings, instead managing presence across AI answers, brand mentions and machine-driven discovery.

Besmertnik framed the shift as a change in the core task of marketing technology. "We're moving from a world where marketers optimize pages to one where systems optimize presence across AI experiences. Companies need an intelligence layer to power those systems. That's the role Conductor is stepping into," he said.