Turn Curiosity Into Conversion with Breeze AI Buyer Intent

Most buying journeys start long before a form gets filled. Prospects visit your site, read your content, engage with campaigns, and evaluate solutions in the background. These invisible signals such as what a person looks at, how often they return, what content they consume, are indicators of interest.

Breeze AI Buyer Intent, HubSpot’s new embedded AI feature, brings those signals into the light. It uses large language models and behavioral data to surface the contacts most likely to be in-market, even if they haven’t made direct contact yet. But like any AI signal, its value depends entirely on how you act on it. 

What Is Breeze AI Buyer Intent?

At its core, Buyer Intent in HubSpot Breeze identifies which contacts are showing active consideration, based not just on basic engagement metrics like email opens, but on a more nuanced understanding of behavior over time.

HubSpot uses AI to assess recent page views, campaign engagement, product interest, and CRM context, generating a dynamic score that reflects a contact’s likelihood to convert. These signals appear directly in the HubSpot contact record, along with summaries of recent behaviors and suggested next steps.

Don’t focus on who clicked, what, but about surfacing which prospects are demonstrating meaningful, actionable curiosity.

Why Buyer Intent Isn’t Just About Scoring

It’s easy to mistake Buyer Intent for another scoring metric. But unlike a static lead score based on activity count, Breeze AI uses machine learning to interpret context, timing, and historical engagement.

This gives sales teams a richer signal, one that reflects buyer mindset, not just motion. But it also means that organizations need to think beyond scoring and ask: What will we do with this information?

The insight alone won’t close deals. It needs to be operationalized into the systems, workflows, and messaging that sales and marketing teams rely on. 

How ManoByte Helps You Activate Buyer Intent

Breeze AI surfaces intent. ManoByte helps you build the systems that respond to it. It’s that simple.

Rather than treating AI intent like a disconnected data point, we integrate it into your lifecycle stages, pipeline definitions, and team playbooks. For example, we may map high-intent behaviors to existing MQL triggers—or build new ones entirely based on richer behavioral insights.

We also create workflows that act on intent in real time. That might mean routing contacts to specific sales reps, delivering targeted follow-up content, or enrolling them in sequences based on inferred interest, not just form data.

Just as importantly, we support the ‘people side’ of adoption. Our team trains RevOps, marketing, and sales to interpret these insights confidently, so they can act faster and with greater relevance. And we close the loop with attribution models and reporting frameworks that show whether intent-driven engagement is turning into a pipeline.

A Look at Use Cases

The real power of Breeze AI Buyer Intent lies in how it’s embedded in HubSpot. Teams don’t need to toggle between tools or manually research signals. They get insights right where they already work.

Here’s how organizations can put it to use:

These are how mid-market businesses are already using Breeze AI today.

Why Integration Is the Differentiator

Without structured workflows, intent signals get lost. The AI might tell you who’s warm, but unless your CRM is ready to respond, and ready on hand with aligned routing, sequences, and lead scoring logic, all of that built-up momentum disappears. Multiple teams might engage the same lead. Or worse, no one follows up at all.

At ManoByte, we build the connective tissue between AI insight and human action. We make sure your systems, teams, and metrics are aligned so that when intent surfaces, your business knows exactly what to do and does it.

Let’s build something that works. Contact ManoByte to start activating Buyer Intent with purpose.