HubSpot Customer Agent: Review, Pricing & Better Alternative (2026)

The HubSpot customer agent promises to offload common support questions to an AI chatbot right inside your HubSpot website chat. Officially called the HubSpot Breeze Customer Agent, this HubSpot AI agent launched in 2025 as part of HubSpot’s Breeze AI Suite and aims to resolve a large share of customer inquiries automatically.

In this guide, we’ll explain what HubSpot’s customer agent is, review how it works, and cover its pros and cons. We’ll break down pricing (including some unexpected costs) and share best practices on training, security, tone of voice, multi-language support, and analytics.

You’ll also learn where the HubSpot customer agent falls short and in what situations a dedicated alternative like Resolve247 can be a better fit for growing teams. Let’s dive in.

What is HubSpot’s Customer Agent?

HubSpot Breeze is an umbrella name for HubSpot’s AI features introduced in 2025, which span multiple types of “AI agents” across the platform. Breeze includes tools like a Content Agent for marketing content, a Prospecting Agent for sales outreach, a Knowledge Base Agent for auto-creating help articles, and (what we’re focusing on here) the customer agent for support. In simple terms, the HubSpot customer agent is an AI chatbot that integrates into HubSpot’s chat widget and conversations inbox, designed to answer questions from your website visitors or customers automatically.

The customer agent uses large language models (LLMs) (HubSpot notes it runs on GPT-4). Once enabled it can use your existing knowledge base articles, website pages, and other documents to answer users in a conversational way. Some early adopters have reported that the customer agent was able to significantly reduce handling time for queries. Essentially, it acts as a 24/7 virtual support rep that tries to answer FAQs and routine issues instantly.

Breeze vs. Breeze Customer Agent: It’s important to clarify the terminology. Breeze is the broader AI suite in HubSpot, which includes various AI capabilities across HubSpot’s Hubs. The HubSpot Breeze Customer Agent is specifically the AI chatbot component within that suite – often referred to simply as the HubSpot customer agent or HubSpot AI agent.

HubSpot initially rolled out Breeze AI in HubSpot in beta in early 2025, and by June 2025 the customer agent became generally available to all Professional and Enterprise tier customers across HubSpot’s major hubs. HubSpot’s AI features consume HubSpot Credits. The customer agent was previously served by separate credits, but now pulls from the same credit pool as HubSpot’s other AI features.

In summary, HubSpot’s customer agent is an AI-driven chatbot within HubSpot’s platform that can chat with your visitors and customers, answer their questions by drawing on your content, and help route or resolve issues without human intervention. Next, let’s evaluate how well it works in practice and what limitations to be aware of.

HubSpot Customer Agent Review

The Breeze Customer Agent has generated significant interest as a built-in AI support solution. Here’s an in-depth look at its strengths and weaknesses:

Integration with HubSpot Ecosystem

A major advantage of the customer agent is that it’s native to HubSpot. If you’re already using HubSpot’s CRM and Service tools, enabling the AI agent is straightforward – no coding or third-party platforms needed. It plugs into your existing Chatflows (live chat widget) and shared inboxes, so AI-generated answers appear right in the usual conversation threads.

This integration means the AI can also create support tickets or trigger HubSpot workflows when needed, and hand off to your team without friction. The setup is guided by HubSpot’s UI, making it quick to deploy once you have access. Overall, the HubSpot AI agent scores high on convenience for HubSpot users.

Conversational AI, Not Rule-Based

The customer agent is an LLM-based AI (using GPT-4) so it is different to HubSpot’s rule-based chatbot (which is still available for situations that warrant a strict rule-based flow). The benefits of LLM-based AI is that it can interpret free-form questions (not pick-and-choose) and can handle multiple languages. It can pull answers from your website, knowledge base or other documents. Do note that the quality of answers will still depend on having strong content.

Actions

The Breeze Customer Agent supports some light action-taking if you configure this with a bit of coding. For instance, if connected appropriately, it could perform tasks like sending a password reset email or checking an order status. The actions available are dependent on the API endpoints in your existing software. If you already have code to complete these functions at the click of a button, it is likely you would be able to use HubSpot’s Actions feature to allow the customer agent to complete these actions for your customers.

Limited Availability (High Plan Requirement)

The biggest drawback of the HubSpot customer agent is who can use it. HubSpot restricts this feature to customers on Professional or Enterprise plans. If you’re on HubSpot’s Free or Starter plans you cannot enable the customer agent at all (likewise many of the chatflow features are disabled). This puts the native HubSpot AI agent out of reach for many small businesses unless they upgrade to a much more expensive HubSpot tier. In short, the customer agent is geared toward customers already on higher plans; it’s not an all-inclusive feature.

Usage Limits and Credit Costs

Even if you have an Enterprise/Pro subscription, the customer agent isn’t an included resource. HubSpot uses a credit system for AI, and each customer agent conversation consumes 100 credits. On a Professional plan you get 3,000 AI credits per month (Enterprise gets 5,000) – equivalent to just 30 AI chatbot conversations/month on Pro (or 50 on Enterprise).

After those 30 or 50 conversations in a month, you have to purchase more credits to keep the AI responding. Additional HubSpot credits cost $50/month per 5,000 extra credits (or $45 if bought annually), effectively $1.00 per conversation.

This pricing can become expensive for any significant volume of chats. For example, 100 customer chats in a month would cost $70 extra in credit purchases. Heavier usage like 300 chats would mean an extra $270 in credit fees on top of your base subscription. Many teams will find the included limit insufficient, meaning the true cost of the Breeze Customer Agent can escalate quickly (we’ll break down pricing more in the next section).

No Custom Instructions

Another limitation is that HubSpot’s customer agent is a black box when it comes to its behaviour. You cannot easily customise the AI’s underlying instructions or give it additional rules beyond the content it’s trained on. HubSpot lets you set the agent’s “role” (Support, Sales, or Marketing) and tone (e.g. Friendly, Professional) which affects style, but you cannot program custom business logic or priorities into the AI’s reasoning.

For instance, you can’t explicitly tell HubSpot’s bot “if the user asks about enterprise pricing, always offer to connect to sales” or “for troubleshooting questions, ask the user for their account ID first.” The bot will purely rely on your knowledge base content and its built-in model tuning. This lack of fine-grained control is a downside for companies with specific workflows. By contrast, some specialist AI integrations let you add custom instructions or guardrails for more tailored responses.

Insufficient Insights and Analytics

When using an AI, it is important to understand how it is performing and how your customers are interacting with it. The HubSpot customer agent doesn’t provide a way to see your conversations grouped together into Subjects and Categories, so you can’t easily see what your customers are most frequently asking (so you don’t know if important issues need addressing). Also there’s no way to know if your AI hasn’t been able to answer a question (aka a Knowledge Gap), which is crucial to the success of AI customer support.

Quality Depends on Content (Mixed Early Feedback)

The effectiveness of the HubSpot Breeze Customer Agent hinges on the quality of your content and the AI’s training on it. In straightforward FAQ scenarios, it can perform well – providing answers drawn from help articles and even citing the source URL for transparency. However, if your documentation is sparse or the question is nuanced, the AI might stumble. HubSpot has no explicit accuracy guarantee on the AI’s answers; it may occasionally misinterpret things or “hallucinate” an answer not actually supported by your data.

Early user feedback on the customer agent’s answer quality has been mixed. Some users found it “mostly poor”, with reports that “We tried it and it is not worth it” and “they need to do so much better here”, stating that the offering is a “series of compromises”.

That said, others have had great experiences with basic Q&As. Expect to invest time in training and tweaking HubSpot’s AI with quality content and testing it (as we cover in Best Practices) to achieve good results. HubSpot will likely continue to improve the customer agent, but as one feature in a large pool of other features, its responses may still feel rough around the edges.

Breeze Customer Agent Auto-Resolution Rate: What to Expect

HubSpot markets the Breeze Customer Agent with bold claims about auto-resolution rates – the percentage of customer conversations resolved by the AI without needing a human agent. Some HubSpot marketing materials suggest the AI can automatically resolve up to 50% of tier-1 support queries, and you may have seen claims of 90% resolution rates circulating online.

In practice, the actual auto-resolution rate you achieve with the HubSpot customer agent depends heavily on several factors. These include the quality and coverage of your knowledge base, the complexity of questions your customers ask, and whether your content is formatted in the short Q&A style that the Breeze Customer Agent performs best with. Teams with comprehensive, well-structured help docs tend to see higher resolution rates. Those with sparse or long-form documentation may struggle.

Real-world user feedback on HubSpot AI agent auto-resolution paints a mixed picture. Some users on the HubSpot Community and Reddit report reasonable rates on straightforward FAQs, while others find the rate disappointing – particularly for nuanced or multi-step queries. The lack of custom instructions (mentioned above) also limits resolution rates, since you cannot guide the AI’s behaviour for edge cases.

If auto-resolution rate is a key metric for your team, it is worth comparing the Breeze Customer Agent against specialist AI providers. Resolve247, for example, achieves consistently high resolution rates thanks to its anti-hallucination guarantee and custom instruction capabilities, which allow you to fine-tune how the AI handles different types of queries. Better AI accuracy means more conversations are fully resolved without human intervention.

Onboarding Cost

One often-overlooked factor is that upgrading from a lower plan to enable the customer agent not only includes the cost of the plan itself but requires a mandatory onboarding fee of $1,500 – a one-time services fee that HubSpot requires for high-tier plans. This means the true cost of “unlocking” HubSpot’s customer agent could include thousands of dollars in subscription and onboarding costs, even before you consider the per-chat credit fees. We’ll detail pricing next, but it’s clear that for budget-conscious teams, the HubSpot customer agent might be cost-prohibitive.

In summary, the HubSpot customer agent is a powerful AI chatbot for HubSpot users with the right plan, offering seamless integration and strong potential to automate answers to common queries. It’s easy to set up and can deflect a significant portion of repetitive questions when fed good content.

However, the feature comes with notable limitations: it’s restricted to top-tier plans, has limited free usage and pay-as-you-go costs, cannot be deeply customised, and its answer quality is only as good as your knowledge base (with some users reporting underwhelming results).

In the next sections, we’ll break down the pricing in detail, cover setup and best practices, and discuss how an alternative solution might make sense if the customer agent isn’t meeting your needs.

HubSpot Customer Agent Pricing Explained

One of the most important considerations with the Breeze Customer Agent is pricing – which can be confusing due to HubSpot’s credit system and plan structure. We have a dedicated article covering HubSpot AI agent pricing, otherwise keep reading where we clarify what you’ll pay (directly and indirectly) to use the customer agent.

Plan Requirement and Base Costs

• HubSpot Plan Requirement: First, you must be on a Professional or Enterprise plan in at least one of HubSpot’s Hubs to unlock the Breeze Customer Agent. Most commonly, companies would use it as part of the Service Hub (customer service), but the customer agent can be used with any Hub product. Service Hub Pro starts around $450/month (billed annually) for 5 seats (or $90/seat, billed annually).

  Note that HubSpot displays different pricing depending on whether you are logged in. Logged-in users see plans starting at 5 seats ($450/mo paid annually), while incognito visitors see the plan offered with no minimum seats ($90/mo/seat paid annually). After talking with their sales team, there is no minimum number of seats – you have to ask. This means you can save on your monthly cost by paying for the exact number of seats you need.

• Onboarding Fee: If you are upgrading to a Professional or Enterprise tier for the first time, be aware of HubSpot’s required onboarding fee. This is $1,500 (one-time), which HubSpot charges to provide setup support and training for their product. This fee is required regardless of the Breeze AI – it’s part of signing up for a high-tier HubSpot plan.

  It’s an unexpected upfront cost if you’re not already on Pro/Enterprise. There are reports that you can negotiate this down to an Onboarding Foundations course for $600 (one-off). Some have even managed to waive it completely by passing their free Software Certification course. Make sure to push your HubSpot sales rep to let you know all the options available to you.

  Credit System and Per-Conversation Costs

• Includes 1 AI conversation per day: HubSpot includes a small number of AI conversations for free, in the form of included HubSpot credits, then they are charged per conversation with HubSpot Credits. AI Conversations consume 100 credits per conversation. Pro plans include 30 AI conversations per month (3,000 credits per month) and Enterprise plans include 50 AI conversations per month (5,000 credits per month). Most support teams will quickly exceed these volumes, so you need extra credits.

• Extra Credits, a slippery slope: Additional AI conversations are at best $1 per conversation (if you use all your allowance) bought in packages of 1,000 extra credits for $10/month on a committed basis, not pay-as-you-go.

  • There is a discount if you commit to annual credit bundles (e.g. you can pay $45/month for 5,000 credits per month on an annual basis, instead of $50 month-to-month), which brings the cost to $0.90/conversation.
  • Unused credits expire at the end of each month. So cost per conversation can sky rocket if you have unused capacity.
  • If you use all of your free credits (without having bought any extra credits) then the AI functions that use credits will stop working until your next reset date.
  • If you use all of your purchased extra credits in a month, HubSpot will auto-add another Credit Pack which will auto-increase your monthly subscription moving forward.
  • Downgrades are only allowed at your next renewal by signing a new order form, to take effect at the end of your contractual commitment.
  • There is a careful balancing act between buying enough credits to handle months that have peak demand, while accepting that you will need to pay for that unused capacity for the rest of the year.

  Real-World Cost Examples

• Example Scenarios with extra credits: In real-world use cases, the pricing model can make the extra costs uneconomical if you aren’t aware of what to look out for. To illustrate, here are a few scenarios of the costs of extra credits:

  • If you generally have 8-10 conversations per day (240-300 conversations/month):
    • you might have committed to 300 AI conversations for $300/month.
    • if you have a quiet month and only have 240 conversations that month, your cost per conversation increases by 25% to $1.25/conversation.
    • if you have a busy month and have 360 conversations that month, HubSpot will auto-increase your ongoing monthly extra credits to $360/month for 360 conversations/month (and prorate the charge for that month). In the following months, this would increase your costs to $1.20-1.50/conversation.
  • If you generally have 60-80 conversations per day (1,800-2,400 conversations/month):
    • you might have committed to 2,400 AI conversations for $2,400/month.
    • if you have a quiet month and only have 1,800 conversations that month, your cost per conversation increases by 33% to $1.33/conversation – or an overspend of $600.
    • if you have a busy month and have 2,700 conversations that month, HubSpot will auto-increase your ongoing monthly extra credits to $2,700/month for 2,700 conversations/month (and prorate the charge for that month). In the following months, this would increase your costs to $1.13-1.50/conversation.

Watch out: To prevent credit costs spiralling out of control, monitor any month you go over your credit allowance. Contact your HubSpot Sales Rep to remove the extra credits that would have been auto-added. We have put together an in-depth article to help you reduce your HubSpot credit costs.

Bottom Line: Using the HubSpot Breeze Customer Agent is not cheap. This HubSpot AI agent costs orders of magnitude more than many alternative high-quality AI chatbot services that can reduce your support costs.

If you’re already on Enterprise or Professional plans, the included 30-50 chats/month are a nice freebie to do some testing with. But any serious usage will incur meaningful extra costs. Companies should project their expected chat volume and budget for the inevitable auto-increase that will occur. This might be fine for a large company, but isn’t practical for a small business.

In later sections, we’ll discuss alternatives that can be more cost-effective, or you can see our full article on HubSpot AI chatbot alternatives.

HubSpot AI Agent Setup: Step-by-Step & Best Practices

Ready to give the HubSpot Breeze Customer Agent a try? This section walks you through how to enable and configure this HubSpot AI agent, then outlines a best-practice checklist to get the most out of your new AI helper.

Setting up the basics can be done in 10-15 minutes. If you need to upgrade your plan, the required onboarding will add time on top of this. Tuning HubSpot’s AI for optimal performance is an ongoing process – HubSpot’s case studies refer to the process taking weeks to get quality results. We’re going to help you keep this as short as possible and recommend alternatives that don’t require a lengthy process (hint: AI doesn’t have to be that hard).

How to Set Up the Customer Agent

Setting up the HubSpot Breeze Customer Agent involves creating an agent in your HubSpot portal, choosing content sources to train it on, assigning it to a chatflow, configuring handoff rules, and testing before going live. You’ll need admin access on a Professional or Enterprise account with Breeze AI enabled.

We’ve written a detailed step-by-step walkthrough in our HubSpot chatbot builder guide, which covers the full setup process including content source selection, channel assignment, and testing.

Once your agent is live, the real work begins. The best practices below will help you get the most out of it.

Best Practices for Customer Agent Success

Enabling the feature is just the start. To truly succeed with HubSpot’s customer agent, keep these best practices in mind:

• Only train on data you want to be shared: When activating the customer agent, you grant it access to certain data (like conversations or files). Be mindful of what content you allow – only include sources that you’re comfortable having the AI use in responses. Do not upload sensitive internal documents that you wouldn’t want shared with customers. If a topic is off-limits, make sure that info isn’t in the training set.

• Maintain Your Knowledge Base: The AI is only as good as your content. So effort put into adjusting and improving the knowledge base will result in better results from the AI.

  • Keep it up-to-date: If you push a new product release or policy change, update those help articles promptly – and re-train or refresh the customer agent’s content if needed. HubSpot’s agent will automatically pick up changes to included sources.
  • Occasional Audits to catch missing data: With HubSpot, it’s wise to periodically review what it’s trained on – HubSpot’s case studies include information going missing and they recommend conducting audits to make sure information hasn’t dropped out of your AI’s knowledge. This shouldn’t happen, and may have been resolved by HubSpot now.
  • Re-write content to suit HubSpot’s AI: It’s recommended that content is amended/added in a format to suit HubSpot’s AI to maximise benefit from the customer agent. Such as creating short Q&A articles for any common questions that you discover the AI couldn’t answer. It has been said that short answers are essential to success with the Breeze Customer Agent.
  • Fill knowledge gaps: The customer agent flags unanswered questions for you, which is a great way to identify knowledge gaps, so that same question can be answered automatically in the future. By continuously grooming your knowledge base, you’ll improve the AI’s accuracy and usefulness.

• Test (with real questions): The questions you might think to use to test a chatbot might be skewed because you know your company well – you might use different wording or phrasing to your customers. A customer might be unclear, they might be frustrated, or they might not provide full context – all of which are real situations that will affect the results from the chatbot, and need to be handled appropriately. To ensure the AI is properly trained, take a variety of your recent real conversations and see how the AI would respond. Make sure to test for the following situations:

  • Common questions: Start with frequently asked questions, to make sure the AI responds exactly how you need it to. As these are frequent questions, it’s worth making sure the AI responds accurately.
  • Unanswerable questions: Ask a question that you know it doesn’t currently have the information for.
  • Frustrated customers: If a customer is unhappy, we want to make sure the AI doesn’t do anything to make the situation worse! For example, sending them round in circles or not providing a way forward.
  • Similar but not quite the same: There might be some loosely related topics, that might have different answers. Test this by asking a specifically unclear question, or intentionally omitting some context to see if the AI appropriately responds without confusing the similar topics.
  • Known tricky situations: If there are delicate or complicated situations that you need to handle, it is worth testing these out to make sure the AI can handle these in a robust way – in line with your business requirements.
  • Try alternative words: A modern AI (an LLM) should handle this fine (as it should understand the context of the words) but check that any common alternative words still capture the topic.
  • Known confusing/sales-y topics: Some of your content might be intentionally written in a positive or non-specific way in order to generate leads/interest. This kind of “implied” language can confuse some AI. Think about any parts of your business where you might be glossing over any missing features or work-arounds and check that the AI responds in a way that is factually accurate, but also matching how you would want to answer the question.

• React to Test results: Based on the findings of the above, the solution with HubSpot’s AI is to amend the knowledge base to catch that situation, and retest.

  • Missing information: If the missing information is a missing piece of knowledge, you can add Short Answers instead of needing to amend webpages (but still make sure that all your information is consistent).
  • Behavioural/business logic: If the issue is behaviour based, HubSpot does not currently provide a custom instructions feature. A work around within HubSpot is to simply force the AI to handover to a human in the situation (by using triggers). However, there is another way: you could consider using an alternative AI provider that allows providing Custom Instructions to the AI. This would allow you to tell the AI how to handle certain topics/situations – whether that be to handle certain type of customers differently or any other business logic specific to your company. We’ll touch on this again later in this article.

• Human Oversight: Don’t set and forget the AI. Especially in the early phase, have your support team keep an eye on live chats. They can intervene if the AI goes off track. Also, encourage your team to proactively update content based on what they observe. A best practice is to have a feedback loop: support agents should flag if they see the AI give a wrong or suboptimal answer, so you can correct it. Over time, as confidence in the AI grows, you can let it handle more on its own. There should always be an easy path for customers or agents to reach a human when needed. Ensure the chat widget offers an option like “connect me to an agent”.

By following these best practices you’ll set up HubSpot’s customer agent for success. Some early adopters learned that launching the HubSpot customer agent is not a one-and-done task, but an iterative process. So, if you are already on HubSpot’s higher plans, not cost-sensitive, and have time to shape your knowledge base to suit HubSpot’s AI, then the HubSpot AI agent can provide highly efficient support assistance to help your Customers, and your Team!

Next, let’s address where even a well-tuned customer agent might still fall short of your needs – and how an alternative solution can fill those gaps.

Where the Customer Agent Falls Short (and How Resolve247 Helps)

HubSpot’s customer agent is a convenient solution, but as we’ve seen, it has notable shortfalls. For many growing businesses, these limitations become pain points. Here we recap the main issues with the customer agent and explain how Resolve247 (a specialist in AI that integrates directly into HubSpot) addresses each:

• Limited to Enterprise/Pro Plans: The HubSpot AI agent is not available on Free or Starter HubSpot plans. This excludes smaller businesses from using it unless they upgrade to expensive tiers. On the other hand, Resolve247’s AIChatbot works with any HubSpot plan. You don’t need to change your HubSpot subscription at all. Resolve247 integrates directly into your existing HubSpot chat widget regardless of tier, so startups and small teams can have an AI support agent without enterprise software costs.
• High Cost per Conversation: HubSpot’s pay-per-chat credits (~$1 per conversation) can blow up your budget quickly. In contrast, Resolve247 offers cost-effective flat rate pricing with generous allowances included. For example, their Starter plan at $35/month includes 2,000 AI responses (roughly 600-800 conversations) – which works out to only around $0.04 per conversation. Even higher plans drive the cost per chat down to 2-3 cents. No confusing credits; you just pick a plan with enough responses. This model can save 93-97% of the costs you’d incur with HubSpot’s customer agent.

• No Custom Instructions: HubSpot doesn’t let you tweak the AI’s behaviour with custom rules or training beyond your content. Resolve247 was built to work out-the-box but also be customisable to suit your specific business needs – it allows you to set Custom Instructions for your chatbot on all plans. You can define business-specific guidelines, special prompts, or fallback behaviours easily.

  For example, you can instruct Resolve247’s AI to tell customers about special promotions, direct Enterprise customers to schedule a call, or gather feedback if someone asks for a refund. These instructions give you fine-grained control to align the AI with your unique processes. This kind of customisation is not possible with the Breeze Customer Agent.

• Insights & Analytics: The HubSpot AI agent doesn’t provide a way to analyse your conversations, which is an important feature to enable you to succeed with your AI. It is useful to see conversations grouped together into Subjects and Categories, so you can see your most frequently asked questions (so you can address those items accordingly) and it is crucial to know where your Knowledge Gaps are, which HubSpot cannot provide. An alternative such as Resolve247 will analyse your conversations to help you spot patterns and importantly to fill gaps in your knowledge base.

• AI Quality and Focus: HubSpot’s customer agent is one feature among hundreds in their platform – it works decently for FAQs but has no special accuracy guarantees and might lag behind the latest AI tech. Resolve247 is a specialist in AI support, which results in higher response quality. They use the latest AI models and techniques and provide an Anti-hallucination Guarantee – meaning their bot is designed not to make up answers that aren’t supported by your content.

  Resolve247 uses a multi-step process to double-check the AI’s response against your knowledge sources, ensuring it stays factual. HubSpot’s customer agent has no such guarantee. For companies where answer accuracy is paramount, this quality focus is a big advantage. See what our customers say about the difference.

• Support & Guidance: With HubSpot, you generally configure the AI yourself and rely on standard support channels or community if you need help – there’s no specialised assistance for the AI chatbot. Resolve247, by contrast, has AI experts on hand to help get your AI chatbot exactly how you want it and working to its full potential.

  Resolve247 also offers ResponseAssistant – an agent-facing tool that drafts replies in your inbox, giving your team a head start on every conversation. It’s built to be completely self-serve, so you can get going quickly. But if you do need help, their team can assist via screen-share or email for one-on-one guidance. For small teams, having vendor support like this can be invaluable – and there’s no hefty onboarding fee. Their help is included for free, rather than charging $1,500 as HubSpot does.

In essence, Resolve247 was created as a high-quality specialist AI solution with a quick setup process to get great results with no effort, and without changing your existing systems. It fixes the issues that many HubSpot users encounter with the customer agent: AI chatbot on any plan, at a fraction of the cost, with greater customisation and dedicated support.

Importantly, it plugs into your existing HubSpot chat widget – so your end-users see no difference in the chat interface, and all conversation logs still reside in HubSpot. The difference is all under the hood: a more flexible and cost-effective “brain” powering the chatbot.

To decide which way to go, consider your specific situation. Let’s talk about when using HubSpot’s included customer agent makes sense, and when you might be better off opting for Resolve247’s solution.

When is the Customer Agent a Good Fit?

Despite its limitations, HubSpot’s customer agent can be a suitable choice in certain scenarios – particularly if you’re already an ideal HubSpot customer for it. Here are the criteria where using it would make sense:

1. You’re on HubSpot Enterprise or Pro: If your company is already paying for a HubSpot Professional or Enterprise subscription, then you have the AI agent available (without this, it’s not worth upgrading for the sake of the customer agent).
2. You have Low Volume: The customer agent works best for basic Q&A support at low volume. If your website only gets a handful of support questions per day you might be able to make use of the limited free credits HubSpot provide (Beyond which, costs of credits become uneconomical).
3. You have Simple Queries: If the questions you receive are mostly straightforward (like “How do I reset my password?”), the HubSpot AI can handle them well to save your team a bit of time.
4. You have Basic Needs, Little Customisation Required: If your goal is simply to provide a FAQ bot and you don’t have any complex logic or niche requirements, the customer agent could do the job. As long as you’re fine with the chatbot’s generic behaviour.
5. Budget Isn’t a Concern: In some large companies, the high cost of HubSpot credits might be within the allowed budget, and the potential savings might not be worth combating your internal policies to use a specialist third party integration. In the case where bureaucratic-convenience outweighs cost saving and quality improvement, the Breeze Customer Agent will be the appropriate choice.

If you meet all the above criteria, then HubSpot’s customer agent would be a good fit for you.

However – and this is a big however – growing teams might find the customer agent hindering their support quality and budget. This tends to happen as your usage grows or your needs become more advanced. That’s when looking at alternatives like Resolve247 becomes worthwhile. In the next section, we’ll outline when you should strongly consider Resolve247 as a more suitable solution.

When is Resolve247 More Suitable?

For many organisations, a third-party integrated solution like Resolve247’s AI Chatbot will be more aligned with their needs. Consider opting for Resolve247 in these situations:

• You’re on HubSpot Free/Starter: This is a no-brainer – if you aren’t on an eligible plan for the customer agent, Resolve247 gives you an AI chatbot without forcing a costly HubSpot upgrade. Even if you are on Pro/Enterprise, maybe you’d prefer not to pay HubSpot’s credit fees. Resolve247 works on any plan via a simple integration, so it’s the clear choice for those on lower tiers or those avoiding HubSpot’s upsell.
• High Chat Volume or Rapid Growth: If you anticipate a large number of AI conversations (hundreds or thousands per month), Resolve247’s pricing model will save you a lot of money. For example, handling 500 chats via the HubSpot customer agent would cost $500 in credits alone; but with Resolve247, the $35 plan would cover that. For a growing support team, these savings compound. It’s more predictable pricing too – you’re not getting a surprise bill because usage spiked one month.

• Need for Custom AI Behaviour: When your chatbot needs to do more than regurgitate FAQs (like follow certain business rules, promote specific offers, or handle different customers differently) then Resolve247 is more suitable for you. The ability to add custom instructions means you can easily tailor the chatbot to your business specifics.

  This is ideal if you want the bot to treat VIP customers differently, handle certain subjects in specific ways, or capture an email on certain queries. If you’re thinking “I just want the bot to do X when Y happens,” that’s a sign the customer agent’s out-of-the-box approach might be too rigid, and Resolve247 could easily take care of that for you.

• Quality and Accuracy are Paramount: Perhaps you operate in an industry where incorrect answers can be harmful (finance, healthcare, etc.), or you just have a low tolerance for the AI messing up. Resolve247’s emphasis on accuracy (with features like the anti-hallucination guarantee) makes it a safer bet when you need trustworthy answers. Also, because Resolve247 is a specialist AI provider, our sole priority is high-quality AI responses, staying ahead of other providers and delivering more nuanced and context-aware responses. If your testing of the HubSpot AI agent showed too many “off” answers, an alternative like Resolve247 could likely perform better with the same data.

• Desire for Hands-On Support: Smaller companies might not have the time or expertise to optimise an AI bot. If you want a partner to help ensure the chatbot succeeds, Resolve247 provides that white-glove support if you want it. This can make a big difference in achieving value from the AI – it’s like having an AI consultant on call. If HubSpot’s self-serve approach feels daunting or if you simply don’t want to be alone in troubleshooting the bot, a provider like Resolve247 is more suitable.
• Integration with Private Knowledge Sources: If your crucial support information isn’t all on public webpages (such as if you’ve got your internal policies in Notion) then consider Resolve247. It can connect directly to your private Notion pages, whereas with the customer agent you’d have to copy that info into another source. For companies with extensive internal knowledge bases, this capability is a huge time-saver (and keeps sensitive info internal).

To sum up, Resolve247 is more suitable when you outgrow the customer agent’s confines or you’re not in its target demographic to begin with. It brings the power of an AI support agent to any HubSpot user, with more flexibility and usually at a much lower total cost. Many teams start with the Breeze Customer Agent and then realise they need more – more conversations, more control, more support – which is exactly where Resolve247 shines.

Below is a quick comparison highlighting the key differences between HubSpot’s customer agent and Resolve247’s AI chatbot solution:

Aspect	HubSpot Breeze Customer Agent	Resolve247 AI Chatbot Integration
Plan Availability	Only on Service Hub Professional/Enterprise plans (not available on Free or Starter)	Works on any HubSpot plan (Free, Starter, Pro, Enterprise) – no HubSpot upgrade required.
Cost per Conversation	$0.90-$1.00 per conversation. Plus requires high-tier HubSpot subscription and $1.5k onboarding fee.	$0.02-$0.05 per conversation (e.g. $35 for ~800 conversations). Much larger allowances, scales affordably.
Custom Instructions	Not supported. Behaviour and logic of AI can’t be fine-tuned by user – it only learns from provided content.	Supported. You can set custom AI instructions and business rules on all plans, tailoring the bot’s behaviour.
AI Response Quality	Uses AI as a generalist platform feature. No explicit accuracy guarantee; quality depends on your content and HubSpot’s default model tuning. Early user feedback on answer quality has been mixed.	Specialised AI provider focused on support quality. Uses latest models with an Anti-hallucination Guarantee for accuracy. Continuously optimised for customer service use-cases.
Support & Onboarding	Standard HubSpot support (help articles, community). No AI-specific coaching; it’s self-serve configuration. Also requires a $1,500 onboarding fee for Pro/Ent plans (for general HubSpot onboarding).	Personalised support from AI Specialists included. Resolve247’s team can help with setup, and troubleshooting (even one-on-one screen share). Can be entirely self-serve or with free expert help as needed.
Knowledge Sources	Can index any public website content, HubSpot knowledge base articles, and uploaded documents. Cannot natively connect to private data sources like Notion without making them public or manual upload.	Can index public websites and connect to certain private sources (e.g. Notion) securely. More flexible in training on your existing knowledge repositories without exposing them.
Setup Effort	Fairly quick to enable if you have HubSpot Pro/Ent – integrated in UI using the Chatflow builder, no coding. But limited customisation in setup.	Quick integration (Click to connect to HubSpot). No code needed, no Chatflow changes needed. Works out-of-the-box with the HubSpot chat widget.

In summary, the Breeze Customer Agent is an easy add-on for those already in HubSpot’s ecosystem at the highest tiers, handling basic support queries with minimal setup. But for many businesses, Resolve247’s solution will be more cost-effective, accessible, and powerful – especially if you’re not on Enterprise, have higher volumes, or need more control over your AI assistant.

The right choice depends on your situation: if the customer agent fits your current needs and you have it available, it’s worth trying first. If you hit its limits or can’t use it, know that alternatives like Resolve247 are readily available to supercharge your HubSpot chat with AI on your terms. For a detailed side-by-side breakdown, see our HubSpot AI vs Resolve247 comparison.

HubSpot Customer Agent FAQ

Q: Is the HubSpot customer agent available on all HubSpot plans?

A: No – the customer agent (officially the HubSpot Breeze Customer Agent) is only available on Professional and Enterprise tiers of HubSpot. This applies to Service Hub Pro/Enterprise (and as of 2025, also to Pro/Ent of other Hubs). It is not included on Free, Starter, or Basic plans. If you’re on a lower plan, you would have to upgrade to at least Professional to use the native AI chatbot (Alternatively, you can use a third-party integration like Resolve247 to get an AI chatbot without upgrading your HubSpot plan).

Q: How much does the HubSpot customer agent cost?

A: The feature itself doesn’t have a fixed price tag – it’s included if you have the required HubSpot plan. However, usage is metered by credits, where 100 credits equals 1 conversation. You get 30 conversations per month on Pro (50 on Enterprise). Beyond that, each additional conversation (100 credits) costs about $1 in credits. So, if you have a lot of conversations, costs can add up quickly. Remember you’re also paying for the HubSpot Pro/Enterprise subscription itself (hundreds or thousands per month) and a one-time $1,500 onboarding fee to upgrade in the first place.

Q: How do I set up the HubSpot customer agent?

A: You need to be on a qualifying plan first. Then, in HubSpot, go to Breeze AI > Customer Agent and click Create Agent. You’ll name your bot, choose a role (Support/Sales/Marketing) and tone, and then provide content sources (knowledge base articles, webpages, PDFs) for it to train on. After creating it, assign the agent to your chatflow or inbox (so it’s live on your site). Configure any handoff rules (what the bot should do if it can’t answer). Finally, test the bot using the preview tool and tweak content as needed. Once satisfied, turn it on in your website chat. For a full walkthrough, see our HubSpot chatbot builder guide.

Q: Can I customise the HubSpot customer agent’s behaviour?

A: Not beyond your content and basic settings. You have some control via the tone/persona setting and by what content you provide for training, but HubSpot’s platform does not allow custom prompts or instruction tuning for the customer agent. You can’t, for example, explicitly tell it “always upsell Product XYZ if the user asks about XYZ.” It will only infer answers from your knowledge base and its built-in model training. If you need a highly customised chatbot behaviour, you might need to consider other solutions (either a custom-built bot or a third-party like Resolve247 which does allow custom instructions). See our roundup of the top AI chatbots for HubSpot for more options.

Q: What auto-resolution rate can I expect from the Breeze Customer Agent?

A: The auto-resolution rate – the percentage of conversations resolved without human intervention – varies widely depending on your knowledge base quality, question complexity, and content format. HubSpot suggests the AI can resolve a significant share of tier-1 queries, but real-world results are mixed. Teams with comprehensive, well-structured Q&A content tend to see higher resolution rates. If auto-resolution is a priority, specialist AI providers like Resolve247 often achieve better rates thanks to features like custom instructions and anti-hallucination guarantees that improve accuracy.

Q: If I’m on HubSpot Starter/Free, can I still add an AI chatbot to my site?

A: You can’t use HubSpot’s native customer agent on those plans (since it’s locked to Pro+), but you can integrate a third-party AI chatbot into your HubSpot chat widget even on Free/Starter. Resolve247 is one such solution – it connects to your HubSpot chat widget and powers the same chat interface with AI responses.

From a visitor’s perspective, it looks and feels like any other HubSpot chat, but the intelligence behind it is from Resolve247’s AI. All the chats still log in your HubSpot inbox as normal. See our guide on how to add AI to your HubSpot chat widget for a full walkthrough.

Final Thoughts

The HubSpot customer agent is a solid option if you’re already on a Professional or Enterprise plan and need basic AI support at low volume. But for many growing businesses, the limitations quickly add up.

Here are the key takeaways from this guide:

1. Plan access is limited. The Breeze Customer Agent requires HubSpot Professional or Enterprise – it’s not available on Free or Starter plans.
2. Costs escalate fast. At $1 per conversation (plus credits that auto-increase and expire monthly), the pricing model is unpredictable and expensive at scale.
3. Customisation is minimal. You can’t add custom instructions or business logic to the HubSpot AI agent, which limits how well it handles nuanced scenarios.
4. Quality varies. Early user feedback is mixed, and there’s no accuracy guarantee. Success depends heavily on the quality and format of your knowledge base.
5. Alternatives exist that solve these problems. Resolve247 offers AI chatbot support on any HubSpot plan, at a fraction of the cost, with custom instructions, better analytics, and dedicated support.

If you’re evaluating whether the HubSpot customer agent is right for your team, or if you’ve tried it and hit its limits, give Resolve247 a try. There’s a 30-day free trial, no credit card required, and it works with your existing HubSpot chat widget – setup takes minutes, not weeks.