A realistic look at HubSpot's Breeze AI agents

It seems like every major tech company is rolling out its own AI suite, and HubSpot is right there in the mix with its Breeze AI platform. These tools are designed to help automate tasks across marketing, sales, and customer service. One of the most interesting parts of this whole setup is the Breeze AI agents, which are pitched as specialized, AI-powered teammates that can handle entire workflows for you.

The idea of having an "AI growth team" built right into your CRM sounds pretty great on paper. But what does that actually look like day-to-day? This guide will give you an honest look at what Breeze AI agents can do, what they’ll cost you, and maybe most importantly, where they fall short, especially if your team’s knowledge isn’t all neatly tucked away inside the HubSpot platform.

What are HubSpot Breeze AI agents?

First off, "HubSpot Breeze" is the big-picture name for all the AI tools scattered throughout its platform. It’s generally broken down into three main pieces:

• Breeze Assistant (formerly Copilot/ChatSpot): Think of this as a helpful sidekick. It’s a conversational AI that can help you with things like drafting content, summarizing data, or pulling up info from your CRM.

• Breeze Intelligence: This is the part of the AI that works behind the scenes, doing things like adding extra detail to your CRM data, figuring out which leads are most interested, and making your forms smarter.

• Breeze AI agents: This is where things get more advanced. An assistant helps you do a task, but an agent is built to be an autonomous digital teammate. The goal is for it to run entire, multi-step processes all on its own.

Each agent is built for a specific job, whether that's finding new leads or closing out customer support tickets. They live and breathe inside the HubSpot world, using your CRM data as their main source of truth. You can find, tweak, and manage them from the Breeze Marketplace and Breeze Studio, which acts as a sort of control center for your AI crew.

This official tutorial provides a comprehensive overview of HubSpot's Breeze AI suite, covering its core tools and functionalities.

What can Breeze AI agents do?

HubSpot is building out a library of these agents to automate work for different departments. Some are still in beta, but they give us a pretty clear picture of where the company is headed with all this.

Here’s a quick rundown of the main Breeze AI agents and what they're supposed to do:

The customer agent

This agent is your new frontline support specialist. You can train it on your knowledge base and website content, and it will handle common customer questions over chat without needing a human to step in. If a question is too tricky, it automatically passes the ticket to a person on your team, along with a summary of the chat so they know what’s going on. The whole point is to let your support team stop answering the same questions over and over again.

The prospecting agent

Built for sales teams, this agent helps automate the often tedious work of finding and reaching out to new leads. It digs through your CRM data to find prospects that fit your ideal customer profile. From there, it does some research and drafts personalized outreach emails in your brand's voice, which can save your sales reps a ton of time.

Content and knowledge base agents

This duo helps with different aspects of content creation.

• The Content Agent is there to help you create long-form content like blog posts, case studies, or new landing pages.

• The Knowledge Base Agent is a bit more clever. It looks at incoming support tickets to find gaps in your help center. If it notices people are asking questions you haven't answered yet, it can draft new help articles based on those real customer conversations.

Other specialized Breeze AI agents

HubSpot keeps adding more specialized agents to the mix, including:

• Closing Agent: Gives you a better look at how buyers are engaging to help speed up your deals.

• Personalization Agent: Spots different audience segments and helps create custom website content and calls-to-action for them.

• Data Agent: Answers business questions by pulling and analyzing data from your CRM, documents, and even the web.

This video demonstrates how HubSpot's specialized AI agents for prospecting, content, and customer support can automate repetitive tasks.

How much do Breeze AI agents cost?

Here’s the catch: you can’t just buy the Breeze AI agents on their own. Their cost is bundled directly into HubSpot's main software plans.

To get access to the agents, you need to be on a Professional or Enterprise plan for one of HubSpot's main products (like the Sales Hub, Service Hub, or Marketing Hub).

Just to give you a ballpark idea, here are the starting prices for the plans that get you access:

HubSpot Hub	Professional Plan (Starts at)	Enterprise Plan (Starts at)
Marketing Hub	$800 / month (billed annually)	$3,600 / month (billed annually)
Sales Hub	$450 / month (billed annually)	$1,500 / month (billed annually)
Service Hub	$450 / month (billed annually)	$1,500 / month (billed annually)

Keep in mind these are just starting points. The price can go up depending on how many users or contacts you have.

On top of that, some of the AI features, especially the ones under Breeze Intelligence, run on a credit system. This is an extra cost you have to factor in. For instance, if you want to enrich your CRM records or track buyer intent, you’ll burn through credits that you might have to buy separately. This makes the total cost a little hard to predict from month to month.

The key limitations of Breeze AI agents (and a more flexible alternative)

While the Breeze AI agents are a nice bit of automation for teams that are already all-in on HubSpot, they have some pretty big limitations that can cause headaches for businesses with a more varied set of tools.

Limitation 1: Breeze AI agents only work with HubSpot

This is the biggest one. As the blog Hublead puts it, Breeze "really only works in HubSpot." It's a walled garden. If your sales reps are finding leads on LinkedIn, your support team is using Zendesk or Freshdesk, or your internal documentation is in Confluence and Google Docs, Breeze just can't connect all those pieces. It’s built to work with HubSpot data, inside of HubSpot. To get the most out of it, you’re pretty much forced to move everything onto their platform.

For a lot of companies that have already found and invested in tools they love for support, sales, or knowledge management, that's a huge ask.

Limitation 2: Breeze AI agents create siloed knowledge

Most support teams today pull information from all over the place: old tickets in a helpdesk, internal guides in Notion, product updates dropped in Slack, and technical documents in Google Drive. Breeze agents are primarily trained on your HubSpot data and knowledge base. They aren't really built to access and understand information from all those other sources. This can lead to your AI giving incomplete answers, which means it has to escalate tickets that an AI with access to all your knowledge could have easily solved.

Limitation 3: A lack of confident, risk-free testing for Breeze AI agents

When you're about to let an AI talk to your customers, you want to be pretty confident it knows what it's doing. HubSpot's platform doesn't really have a strong, sandboxed testing environment. You can't just run your AI agent against thousands of your past support tickets to see exactly how it would have performed, what its resolution rate would have been, and where you need to improve your documentation before you go live. This makes flipping the switch feel more like a leap of faith than a calculated decision.

The alternative to Breeze AI agents: A tool that works with your stack, not against it

For teams that want powerful AI automation without getting locked into one company's world, a more flexible tool is the way to go. This is where a solution like eesel AI comes in. Instead of making you switch all your tools, eesel AI connects directly to your current helpdesk (like Zendesk, Freshdesk, or Intercom) and pulls together all of your scattered knowledge sources.

Here’s a quick comparison of how a platform like eesel AI tackles the limitations of Breeze:

Feature	HubSpot Breeze AI Agents	eesel AI
Integrations	Mostly works inside the HubSpot ecosystem.	Connects to your existing helpdesk (Zendesk, Freshdesk, etc.) and over 100 knowledge sources (Confluence, Google Docs, Slack, Notion).
Setup	Requires a big commitment to the HubSpot platform.	Get started on your own in minutes, no sales call needed.
Knowledge	Learns from HubSpot CRM and knowledge base. Has a hard time with external info.	Instantly brings together knowledge from past tickets, help centers, wikis, and documents from any source.
Testing	Limited ways to see how it will perform before going live.	A powerful simulation mode lets you test on thousands of past tickets to predict performance and ROI without any risk.
Control	Comes with pre-built agents that you can customize a bit.	A fully customizable workflow engine lets you set the AI’s personality, its actions, and exactly which tickets it should automate.
Pricing	Bundled into expensive HubSpot plans with possible add-on costs.	Clear, predictable pricing with no fees per resolution and a monthly plan you can cancel anytime.

By working with the tools you already have, eesel AI offers a much more practical way to get started with support automation, without forcing you to change how your whole team works.

Should you use Breeze AI agents?

So, what's the verdict? HubSpot's Breeze AI agents can be a great tool for businesses that are truly all-in on the HubSpot ecosystem. If your entire process, from marketing and sales to customer service, already lives inside HubSpot, then these agents can offer some really smooth, integrated automation.

However, if your team uses a mix of best-in-class tools like Zendesk, Confluence, or Slack, you’re probably going to feel boxed in by Breeze. Its inability to easily tap into knowledge from outside sources and the fact that it locks you into HubSpot's pricier plans are serious downsides.

For a more flexible and cost-effective approach that plays nicely with the tools you already know and love, it's worth checking out platforms built for integration. With a tool like eesel AI, you can get up and running in minutes, bring all your knowledge together instantly, and see exactly how your AI will perform before it ever chats with a single customer.