Demandbase AEO Agent Makes AI Agents Discover Brands

B2B marketing is getting a new audience — and that audience is not human. Demandbase announced on October 20 at its GO customer conference in New York City that it is launching three new AI agents built for what the company calls business-to-agent (B2A) marketing: the practice of making brands discoverable, understandable, and credible to the AI agents that increasingly research and recommend vendors to human buyers.

According to the company's press release carried by Business Wire, the centerpiece of the launch is the AEO Agent, designed to track and influence how AI assistants portray brands — down to specific members of the buying group. The other two additions are a Campaign Agent and an Audience Agent, all layered on top of Demandbase's recently launched Mojo agent and its headless architecture.

What the Demandbase AEO Agent Actually Does

The Demandbase AEO Agent is aimed at a new kind of search problem: not how a brand ranks in results, but how it is described in the answers that AI assistants give to prospective customers. According to the announcement, marketers can use the agent to compare how major AI assistants describe and recommend their company to each individual buying-group member, assess visibility across relevant questions, and identify the sources informing AI-generated answers.

The data foundation behind it is sizable. The release states that the AEO Agent draws on more than 342 million contacts across 13 million companies to ground those comparisons. When teams spot outdated information or content gaps, they can activate Demandbase agents to launch campaigns aimed at improving their AEO positioning without leaving the platform.

The Demandbase AEO Agent also tackles a measurement blind spot. According to the company, marketers can identify anonymous AI-driven traffic at the account and contact level, informing sales outreach based on where buyers are in their journey — a capability aimed at making machine-driven research visible to revenue teams rather than invisible.

Two More Agents for Campaign and Audience Work

The launch also introduced two additional agents aimed at day-to-day go-to-market execution. According to the announcement, the new Campaign Agent connects campaigns to revenue goals, identifies performance gaps, recommends adjustments, and can coordinate with specialized agents to address issues across campaign planning and execution.

The new Audience Agent builds and maintains audiences based on ideal customer profiles, buying groups, and account activity. The company says it keeps audiences current, identifies missing buying-group members, and helps ensure readiness for activation — continuous maintenance work that would otherwise consume marketer hours.

All three agents build on Demandbase's Mojo, the B2B marketing agent launched in September that develops campaign briefs, builds audiences, and executes campaigns across connected marketing tools. According to MarTechVibe's coverage of that launch, Mojo monitors campaign performance, flags problems like broken tracking or audience errors before they affect results, and brings corrective actions back to the marketer for approval. The company positions Mojo as the foundation of its agentic marketing suite: the agents reduce manual work while keeping marketers in control, freeing human teams for the strategic and creative decisions that require their judgment.

Why Demandbase Is Betting on B2A

The strategic bet rests on a striking projection. According to the release, Gartner predicts that 90% of B2B buying will be intermediated by AI agents by 2028, representing more than $15 trillion in enterprise spending. As businesses increasingly rely on AI agents to research products, compare vendors, and recommend solutions, marketers face a new challenge: influencing purchasing decisions before making any direct contact with prospective customers.

Demandbase's chief executive argued in the announcement that marketing to people alone is no longer enough, because buyers no longer start with a search — they start with an agent. The company's contention is that those agents are deciding which brands get seen and which get overlooked, so marketers must shape what AI agents say about their brands, and be able to do it from where they already work.

The technical vehicle for that ambition is Demandbase's headless architecture, which brings its intelligence and AI capabilities directly into the tools where marketers already work. According to the announcement, teams can access Demandbase intelligence through their existing AI assistants, custom agents, and collaborative work apps using APIs and Model Context Protocol (MCP) connections, rather than switching between platforms or moving data across systems.

At the core of the agent suite sits what the company calls the Marketing Brain, a shared intelligence engine that combines 20 years of B2B expertise with each customer's unique business context. The company says the engine powers every agent and gets smarter with every interaction and result, continuously improving marketing performance over time.

What to Watch Next

The announcement landed at Demandbase's GO conference, the company's twice-yearly customer gathering in New York City where industry experts and leaders discuss the future of AI-driven go-to-market strategies. The launch frames a broader question for the B2B world: as agents become the first screen on every purchase, does brand strategy need to be written for machines as much as for people?

Demandbase is not the only company exploring that question — the full announcement from Business Wire positions AEO as a distinct discipline, while the recent Mojo launch covered by MarTechVibe shows the company has been building toward an agent-native marketing stack for months. Whether B2A becomes an industry-wide practice or stays a vendor category will depend on whether marketers can measure what agents say about their brands — and change the answer.