HubSpot Outlines AEO Priorities for Demand Generation Teams

Demand generation teams may need to account for an earlier stage of buyer research as people increasingly turn to AI interfaces for information about products and categories, according to a HubSpot Marketing guide. The guide argues that a brand’s presence in AI-generated answers can influence whether it is considered before a prospect visits its website.

Traditional demand generation often focuses on channels where a business can observe and influence prospects, including search, advertising and content. In an AI-assisted research journey, a buyer can ask a question, receive a synthesized response and develop an initial view of the market before interacting directly with a vendor. That puts part of the discovery process outside the interactions a company typically measures.

HubSpot recommends extending the existing funnel to address this stage rather than replacing established demand generation activities. Its approach to answer engine optimization, or AEO, combines research into brand visibility with content that supports buyer research. It also calls for teams to connect AEO performance to marketing-qualified leads, known as MQLs, and pipeline.

Mapping visibility in AI answers

The first step is to understand where a brand appears during AI-assisted research and where competitors appear in its place. Teams can examine category-level prompts, identify the answer engines relevant to their buyers and review the context in which their brand is cited. They can also look at the topics and questions that repeatedly shape vendor recommendations.

This mapping can reveal gaps that are not apparent from a conventional inbound program. A company may be able to measure and optimize activity after prospects reach its channels while having less visibility into the research that helped those prospects form their opinions. HubSpot identifies its AEO Brand Visibility Dashboard and citation analysis as features intended to address that visibility gap.

What this means for marketers

Demand generation teams can begin by testing the questions buyers ask about their category and reviewing how AI answers present their brand alongside competitors. Those findings can guide content work around the research journey, while MQL and pipeline measures help teams assess AEO alongside their existing demand generation efforts.