HubSpot has announced a new AEO tool and a set of AI-powered updates as part of its Spring Spotlight product showcase, positioning context-aware AI as the next major battleground in CRM and marketing software.
The decline in visibility across traditional channels has created gaps across marketing, sales, and support, leaving teams lacking clear insight, spending increased time on manual work, and struggling to scale efficiently.
By helping go-to-market teams improve visibility and streamline sales activity, these updates enable teams to act on customer context more effectively.
Duncan Lennox, Chief Product and Technology Officer at HubSpot, argues that workflows should deliver relevant, outcome-driven results rather than generic outputs for deeper customer understanding.
"Most AI tools have access to data. What they don't have is context," he said.
"Context is much more complex. If data is what happened, context is why. It's deep knowledge of your customers, your market, and how your team works. That knowledge grows with every interaction, delivered with precision at the moment it's needed.
“Without it, AI gives you generic output. With it, you get real outcomes. And that's what we're building at HubSpot."
The Context Gap in AI Tools
HubSpot’s latest updates are designed to address the underlying problem of how AI tools often lack business context, limiting their usefulness in real workflows.
These limitations can show up across marketing, sales, and customer support, with teams often lacking the tools that connect customer data, behavior, and workflows into AI decisions.
In marketing, AI tools that lack business context often results in loss of visibility and increased guesswork for teams.
HubSpot has recorded a 27% year-over-year decline in organic traffic from its customers while industry reports signal AI referral traffic has now tripled.
As a result, generic tools are unable to inform marketers about what prompts customers are using or how their brand appears in AI, relying on assumptions rather than real customer data, which means many brands struggle to stay visible and relevant in the era of AI-driven search.
In sales, generic AI tools can result in too much manual work for teams, decreasing the amount of time for selling.
With sales reps spending time researching accounts, updating CRM records, and writing follow-ups, important buyer intent signals are easily missed, resulting in outreach that is often generic and poorly timed.
Spending more time on administrative tasks instead of closing deals can significantly reduce conversion rates for enterprises, likely resulting in unnecessary financial losses.
For customer support, limited or low-context tools increase support costs because they can fail to reduce workload meaningfully, leaving teams still needing to grow headcount as volume rises.
When tools do not have access to the full customer history, agents are required to search across systems for past emails, purchases, or issues, meaning responses take longer to prepare and reduce how many tickets each agent can resolve.
As a result, most AI tools lack the business context needed to be useful in real operations, meaning they can process data but do not understand real customer intent, team workflows, or deal history, leading to generic outputs.
HubSpot’s latest updates aim to solve these generic AI issues by building awareness, growing revenue, and scaling customer sport, powered by an enterprise's customer data context.
This also includes updates to the Breeze Assistant, helping teams build ICPs, brand guides, and campaign briefs, and now has access to website analytics, campaign data, and customer records, also becoming role-aware, allowing marketers to get campaign help and sales teams to get deal guidance.
HubSpot AEO
The Answer Engine Optimization tool aims to build awareness in marketing for AI answer engines to help teams adapt to AI-driven discovery.
This tool aims to track and improve how brands appear in engines such as ChatGPT, Gemini, and Perplexity, using prompt tracking powered by real CRM data, so businesses can optimize the questions their actual customers are asking, rather than just performing guesswork.
