A practical guide to HubSpot AI Agents: Features, pricing, and limitations in 2025

It feels like every time you log into HubSpot, there's a new AI feature popping up. Under their "Breeze" umbrella, they're rolling out everything from "AI Agents" that promise to run entire workflows on their own to a "Copilot" assistant that helps with smaller tasks.

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This guide is here to cut through the marketing fluff. We're going to give you a straight-up, practical look at HubSpot AI Agents. We’ll cover their main features, make sense of the pricing, and talk about the real-world limitations you won't find on their sales page.

What are HubSpot AI Agents?

HubSpot’s AI tools are all gathered under the brand name Breeze. The heavy hitters in this lineup are the Breeze Agents, which are designed to act like specialized, independent members of your team. Think of them as more than just a simple AI assistant that helps with one-off tasks. These agents are built to handle entire multi-step processes across marketing, sales, and service.

For example, the Customer Agent is supposed to manage support tickets from the moment they come in until they’re resolved. The Prospecting Agent is meant to automate all the tedious parts of lead research and outreach. The big idea here is to let AI handle the repetitive grind so your team can focus on big-picture strategy and talking to customers. To do their job, they pull information and context directly from your HubSpot CRM data.

The different types of HubSpot AI Agents

HubSpot has launched a few different agents, each aimed at a specific part of the business. While some are still in beta, they give you a pretty clear idea of where HubSpot is headed. Let's get into what each one actually does, because how well they work can really vary.

Key HubSpot AI Agents and what they do

Here’s a look at the main agents you’ll come across and what they're supposed to handle for you.

• Customer Agent: This is your AI-powered frontline support. It connects to your website, blog, and your HubSpot-hosted knowledge base to answer common customer questions through live chat and email. It’s built to solve simple problems on its own and knows when to pass a more complicated issue over to a human.

• Prospecting Agent (Beta): Meant to be an automated Business Development Rep (BDR), this agent digs through leads in your CRM, looks for signs of interest, and then drafts personalized emails to send them. The goal is to free up your sales team from the time suck of manual prospecting so they can spend more time actually closing deals.

• Content Agent (Beta): This agent is designed to help you generate long-form content like blog posts, landing page copy, and even case studies. It tries to match your brand's voice by pulling from your existing settings and CRM data to create drafts for your marketing campaigns.

• Knowledge Base Agent (Beta): This one acts as an assistant for your help documentation. It scans through support chats and tickets to find common questions that don’t have a good answer in your knowledge base. When it finds a gap, it drafts a new article for your team to polish up and publish.

To make it a bit clearer, here’s how they stack up:

Agent Name	Primary Function	Ideal Use Case	Availability
Customer Agent	Automated customer support	Handling high-volume, repetitive T1 support tickets	Available on Pro/Enterprise plans
Prospecting Agent	Lead research & outreach	Automating initial outreach for sales teams	Beta, Enterprise plans
Content Agent	Content creation	Drafting first versions of blogs and landing pages	Beta, Pro/Enterprise plans
Knowledge Base Agent	Documentation assistance	Identifying and filling knowledge gaps	Beta, Pro/Enterprise plans

The cost of HubSpot AI Agents

Getting a handle on HubSpot's pricing is key, because most of the genuinely powerful AI features are out of reach on the cheaper plans. To get the full power of Breeze Agents, you have to shell out for their Professional or Enterprise subscriptions, which can be a huge hurdle for a lot of businesses.

How plan tiers affect access to HubSpot AI Agents

HubSpot’s AI isn’t a simple add-on you can buy; which tools you get depends entirely on how much you’re already paying them.

• Free & Starter Plans: On these tiers, you get a taste of some very basic AI helpers. Think content generators for blog ideas or email subject lines. You won't find any of the autonomous "Agents" here.

• Professional Plans (Starting at $800/mo for Marketing Hub): This is where you start to see some of the more useful AI features, like the Breeze Customer Agent. But even here, your usage is often capped by a credit system.

• Enterprise Plans (Starting at $3,600/mo for Marketing Hub): This is the top tier where HubSpot puts its most advanced AI tools. This includes the Prospecting Agent, predictive lead scoring, and other high-end customizations.

The credits system explained

Many of the actions HubSpot's AI takes will cost you "HubSpot Credits." If you're on a Professional or Enterprise plan, you get a certain number of credits each month, and you can buy more if you run out. For example, a single conversation with the Customer Agent might use up 100 credits. This pay-as-you-go model can make your monthly bill pretty unpredictable, which is a headache when you're trying to stick to a budget.

The key limitations of HubSpot AI Agents

While the features look great in a demo, real-world use has shown some major limitations. It’s really important to think about these before you go all-in on their ecosystem, because they can have a big impact on how effective the AI is and whether you get your money's worth.

The "walled garden" problem

Honestly, the biggest single drawback of HubSpot's AI is that it can only learn from information that lives inside HubSpot. Its Customer Agent trains on your HubSpot knowledge base, your website, and your blog. But what about all the other places your company's knowledge is stored? For most of us, that crucial info is spread out all over the place:

• Old support tickets in help desks like Zendesk or Intercom.

• Internal wikis built in Confluence or Notion.

• Technical guides and specs living in Google Docs.

• Quick answers and solutions shared between agents in Slack.

HubSpot's AI can't see or learn from any of that. The result? It often gives generic, incomplete, or just plain wrong answers. It has no way of picking up on your team's unique voice from past conversations or grabbing the latest technical detail from a Google Doc.

This infographic illustrates how eesel AI overcomes the walled garden problem by connecting to multiple knowledge sources, a key issue with HubSpot AI Agents features pricing and limitations.

This is a classic issue with AI tools that are baked into one platform. A specialized tool like eesel AI, on the other hand, is built specifically to bring all your knowledge sources together. It connects to your help desk, internal wikis, and document apps, making sure the AI has the full story. The difference is night and day: HubSpot's AI operates in a closed-off system that leads to weak answers, while an open platform like eesel AI connects to everything you use, delivering accurate, context-rich responses.

High costs and restrictive plans

As we touched on earlier, the AI agents that could actually make a difference are locked away in expensive Enterprise plans. This prices out most small and medium-sized businesses from using powerful automation. It creates a frustrating "pay-to-play" situation where you might choose HubSpot because of its AI promises, only to find out the features you really need will set you back thousands of dollars every month.

This is a big contrast to platforms like eesel AI, which have clear and predictable pricing. The plans are based on how much you use them, not on arbitrary tiers, and you don’t have to worry about being charged for every ticket the AI resolves, which basically penalizes you for being successful.

Lack of control and confidence

Letting an AI talk to your customers can be a little nerve-wracking. What happens if it gives out the wrong information? HubSpot’s tools don't give you great ways to test them out in a safe environment. You can't easily run the agent on thousands of your past tickets to see how it would have done before you unleash it on live customers.

This is where a purpose-built platform really stands out. eesel AI comes with a powerful simulation mode. This lets you test the AI on all your historical tickets and gives you accurate predictions on how many issues it can resolve. You can see exactly how it will perform, tweak its behavior, and then roll it out with confidence, maybe starting with just a small percentage of tickets and scaling up from there.

The eesel AI simulation mode allows users to test performance on historical data, addressing a key issue with HubSpot AI Agents features pricing and limitations.

This video demonstrates HubSpot's AI agents in action, providing a visual guide to their features and capabilities.

Final thoughts on HubSpot AI Agents

HubSpot's AI agents definitely show potential, especially for teams who are already deep inside the HubSpot world and have the budget for the top-tier plans. Tools like the Customer Agent and Content Agent can no doubt save some time on repetitive work.

However, the major downsides are hard to ignore. The "walled garden" approach starves the AI of critical information, the costs are high, and the lack of good testing tools can leave you feeling uneasy. The fact that the AI can't learn from your most valuable knowledge sources, like old support tickets and internal wikis, is a huge flaw that leads to unreliable performance.

For businesses that need a truly smart, accurate, and flexible AI for their support team, it's worth looking beyond the tools that are just built into your CRM. A specialized, third-party platform can give you the power and control you need without locking you into a restrictive and costly ecosystem.

Take the next step with an AI that works where you work

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