
The AI boom is here, and it seems like every piece of software we use is getting an AI-powered upgrade. All-in-one platforms like HubSpot are right in the middle of it, rolling out a whole suite of AI tools to help businesses with their marketing, sales, and customer service.
A screenshot of the official HubSpot AI for business landing page, showing its main features.
But with all the noise, it’s hard to tell what’s genuinely helpful and what’s just marketing fluff. This guide is a straight-to-the-point look at HubSpot AI for business. We'll get into what it is, what its features can do for your teams, the confusing pricing model, and the big limitations of using an AI that’s stuck inside a single platform.
What is HubSpot AI for business?
HubSpot’s AI offering, which they call "Breeze," isn't something you can just buy on its own. It's really a collection of AI tools scattered throughout their entire platform, from the Marketing Hub to the Sales and Service Hubs. The main idea is that it uses the data you already have in your HubSpot Smart CRM to create better AI-generated content and automate some of your work.
The whole thing is built on two main parts:
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Breeze Assistant: You can think of this as an AI helper that lives inside your HubSpot account. It’s there for quick tasks like drafting content, summarizing notes, or analyzing data without you having to jump to another tool.
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Breeze Agents: These are more focused AI "teammates" built to handle entire workflows. This includes tools like the Customer Agent for answering support questions or the Prospecting Agent that helps sales teams find and reach out to new leads.
Basically, HubSpot’s pitch is that the more of your business you run through their platform, the smarter its AI gets.
Key features and use cases of HubSpot AI for business
HubSpot has woven its AI tools throughout its platform. Let’s look at how different teams might actually use them day-to-day.
How marketing teams use HubSpot AI for business
Marketers have to create a ton of content and manage campaigns, and HubSpot's AI tools are designed to take some of that weight off.
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Content Creation: The AI Blog Writer and Social Post Generator are there to help speed up writing. You can feed them a simple prompt, and they’ll give you a first draft for blog posts, social media updates, or ad copy.
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Campaign Automation: The AI Email Writer can help you put together marketing and sales emails much faster, while the Website Generator can build simple landing pages for your campaigns.
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Analytics and Strategy: HubSpot AI can also help you sort through your campaign data. It can generate reports to find key takeaways, helping you figure out what’s working and what to try next.
How sales teams use HubSpot AI for business
For anyone in sales, time is money. HubSpot's AI tools are meant to handle the repetitive stuff so reps can focus on selling.
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Prospecting and Outreach: The Prospecting Agent is one of its more interesting features. It digs through your CRM data to automate lead research and can even write personalized outreach emails to kick off conversations.
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Productivity and Coaching: Conversation Intelligence is another handy tool that records and analyzes sales calls. It can create summaries, pull out action items, and offer coaching tips to help reps sharpen their pitch and close more deals.
How customer service teams use HubSpot AI for business
Customer service teams can lean on AI to answer questions faster and keep their knowledge base in order.
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Automated Support: The Customer Agent is HubSpot’s AI chatbot. You can teach it using your knowledge base and website content so it can answer common customer questions 24/7. This frees up your human agents for the trickier problems.
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Knowledge Management: The Knowledge Base Agent is a smart little tool that helps turn support chats into new help articles. It spots common questions that your current docs don’t cover and drafts articles to fill in those gaps.
The hidden costs: Understanding HubSpot AI pricing
Alright, this is where it gets a bit messy. You can’t just buy HubSpot’s AI features as a separate package. Your access depends on which Hub you subscribe to (Marketing, Sales, Service) and, more importantly, which plan you’re on.
The most powerful AI tools, like the Customer Agent and advanced analytics, are usually stuck behind the pricey Professional (starting at $800/mo) and Enterprise (starting at $3,600/mo) plans. So while you might get a little taste of AI on the cheaper tiers, the features that really make a difference will cost you.
To make things even more confusing, HubSpot has added a "HubSpot Credits" system. Certain AI tasks, like a single chat with the Customer Agent or using the Data Agent to add info to a contact, use up credits. You get a bundle of credits with the higher-tier plans, but you have to buy more if you run out. This can make your monthly bill pretty unpredictable, changing based on your support ticket volume or sales activity.
| Feature | Availability | Cost Implication |
|---|---|---|
| Breeze Assistant | Basic features are free | Advanced capabilities require premium Hub subscriptions. |
| Customer Agent | Professional / Enterprise tiers | Requires an expensive plan plus consumes HubSpot Credits per chat. |
| Prospecting Agent | Sales Hub Professional / Enterprise | Tied to a high-cost sales software subscription. |
| Data Agent | Professional / Enterprise tiers | Consumes HubSpot Credits for each record it enriches or analyzes. |
Key limitations of the HubSpot AI ecosystem
HubSpot’s AI is pretty capable inside its own little world. The problem is, most businesses don’t live entirely in that world. This is where the cracks in a closed AI system start to appear.
It only works well with HubSpot data
HubSpot AI is built to pull information only from the HubSpot Smart CRM. That’s a huge problem if your company's most important knowledge is stored in other tools. For example, if your support team has used Zendesk or Freshdesk for years, all of that valuable conversation history is invisible to HubSpot's AI. If your internal guides are in Confluence or your product specs are in Google Docs, the AI can't touch them. You end up with an AI that gives incomplete, generic, and often useless answers.
This is exactly where a tool like eesel AI makes a difference. It’s built to be a single source of truth for your business. It connects to over 100 sources, including the helpdesk you already use, internal wikis, and chat tools, to give your AI a complete and accurate view of your company's knowledge.
A screenshot of the eesel AI landing page, highlighting its ability to connect to various knowledge sources.
The "all-or-nothing" implementation
To get the most out of HubSpot's Customer Agent, you have to use their Service Hub. For most companies, that means a massive "rip and replace" project to move away from a helpdesk their team already knows how to use. This isn't just a technical headache; it’s a major disruption to how your team works.
eesel AI avoids this completely. It’s a self-serve platform that layers on top of the tools you already have. You can get a powerful AI agent running in your current helpdesk in minutes, not months, with no painful migration needed.
A lack of confident testing and control
Letting an AI talk to your customers can be a little scary. How do you know it will handle real, messy questions correctly? With HubSpot, it can feel like you’re flying blind. It’s hard to predict how the AI will act or what its resolution rate will be before you turn it on.
In contrast, eesel AI gives you a powerful simulation mode. You can test your AI on thousands of your actual past support tickets in a safe environment. You’ll get a real forecast of its resolution rate and see exactly how it would have answered each question. This lets you find knowledge gaps, tweak its settings, and launch it feeling completely confident. You also get detailed control to roll out automation slowly, starting with simple topics and sending everything else to your human team.
This video demonstrates how HubSpot's AI tools can be used to automate marketing tasks, save time, and achieve better results with less effort.
Build a smarter, more connected business with eesel AI
HubSpot has a solid lineup of AI tools, but they only really shine if your entire business runs on their platform. For most companies that use a mix of different tools for support, documentation, and teamwork, a closed AI system just creates more information silos and holds back your automation potential.
The smarter approach is an AI platform that brings all your knowledge together, no matter where it is. eesel AI connects right into your helpdesk, internal wikis, and chat tools to deliver accurate, context-aware AI that actually helps your customers and your team. Instead of getting locked into one vendor, you get a flexible, powerful AI that works with the tools you already use and love.
Ready to see how easy it is to unify your knowledge and automate support? Start your free eesel AI trial today.
Frequently asked questions
HubSpot AI, known as "Breeze," is a collection of AI tools integrated throughout the HubSpot platform. It leverages your existing CRM data to power its Breeze Assistant for quick tasks and Breeze Agents for automating entire workflows like customer support or sales prospecting.
Marketing teams can utilize it for content creation and campaign automation, while sales teams benefit from prospecting and call analysis features. Customer service teams can deploy AI chatbots for automated support and knowledge base management.
Access to the most powerful HubSpot AI features is generally tied to higher-tier Marketing, Sales, or Service Hub subscriptions (Professional and Enterprise). Additionally, certain advanced AI tasks consume "HubSpot Credits," which can lead to unpredictable monthly costs if you exceed your bundled credits.
A major limitation is its reliance solely on data within the HubSpot Smart CRM. This means it cannot access valuable information stored in external tools like Zendesk, Confluence, or Google Docs, potentially leading to incomplete or generic AI responses.
To fully leverage key AI agents like the Customer Agent, you often need to adopt the corresponding HubSpot Hub (e.g., Service Hub). This typically implies a significant "rip and replace" migration project, disrupting existing workflows rather than integrating seamlessly.
The blog highlights a potential lack of confident testing and control within the HubSpot AI ecosystem. It can be challenging to predict the AI's performance or forecast its resolution rate before it's live, as it doesn't offer a detailed simulation mode to test on past tickets.








