A realistic look at HubSpot AI Auto-complete Suggestions in 2025

Let’s be honest, AI features are being bolted onto every platform these days, and HubSpot is no exception. We’ve all heard the pitch: AI will magically streamline your work, get rid of boring data entry, and help you reply to customers in a flash.

But when you actually start using these tools, the reality can be a bit… different.

That’s what this guide is for. We’re going to take a realistic look at HubSpot AI Auto-complete Suggestions. It isn't one single feature, but a whole collection of tools scattered across HubSpot’s different hubs. We'll cut through the hype to show you what it can actually do, where it shines, where it stumbles, and how much it’ll really cost you.

What are HubSpot AI Auto-complete Suggestions?

So, what are we actually talking about here? HubSpot has bundled its AI features under the name "Breeze." It's probably best to think of Breeze as a collection of helpers rather than a single, all-powerful system that runs on its own.

Breeze is built on a few core parts that handle the suggestions and auto-completions:

• Breeze Copilot: This is the little AI assistant that follows you around in HubSpot, popping up to offer help with whatever task you’re working on.

• Breeze Agents: These are more focused AI tools designed for specific tasks, like drafting customer service replies or brainstorming content.

• Breeze Intelligence: This piece of the puzzle works in the background, trying to keep your CRM data up-to-date by pulling in information from various sources.

These different parts show up in different ways depending on whether you're in the Service, Sales, or Marketing Hub. Let's dig into what that means for each team.

A screenshot showing the HubSpot AI Agent interface, relevant to the Breeze Agents feature discussed.

HubSpot AI Auto-complete Suggestions for customer service

For customer support teams, the star of the show is Reply Recommendations. It’s built right into the Help Desk and does pretty much what the name implies: it suggests replies to customer tickets.

How HubSpot AI Auto-complete Suggestions work for reply recommendations

To get this feature, you'll need a Service Hub Professional or Enterprise plan. Once you've got that sorted, you need to connect your knowledge sources. This usually means linking up your HubSpot knowledge base or pointing the AI to specific website pages and blog posts where answers to common questions live.

When a new ticket comes in, the AI gives it a read. If it thinks it found a good match in your knowledge base, it will draft a suggested reply and pop it into the agent's text editor. Your agent can then use the suggestion as is, edit it, or just ignore it and write their own response.

This image displays the ticketing interface in HubSpot's Service Hub, where reply recommendations would appear.

The limitations of HubSpot AI Auto-complete Suggestions

It sounds pretty handy, but when you look closer, there are some big limitations that stop it from being a true game-changer for a busy support team.

It's a helper, not a doer

This is the main thing to understand. The feature only suggests replies; it can't act on its own. A human agent still has to read the ticket, review the suggestion, and hit send. It won’t close tickets, tag them, or handle any part of the conversation by itself. So while it might save someone a few seconds of typing, it doesn't actually reduce the number of tickets your team has to handle.

Your knowledge base has to be perfect

The AI's suggestions are only as good as the documents you give it. If your knowledge base is spotty, incomplete, or out-of-date, the AI will either give bad suggestions or none at all. This just puts more pressure on your team to constantly write and update articles, which is its own kind of busywork.

It can't learn from real conversations

HubSpot’s AI learns from static articles, not from the actual problem-solving conversations your team has every day. It misses out on learning from the thousands of successful resolutions already sitting in your past support tickets. That means it doesn’t pick up on the nuances of your brand voice or the clever, practical solutions your team has already come up with.

It can't take action

Often, a customer needs more than just a quick answer. They might need you to look up an order, escalate a ticket, or add a specific tag for tracking. HubSpot’s Reply Recommendations can’t do any of that. It can only suggest words.

HubSpot AI Auto-complete Suggestions for sales and CRM data

Over on the sales side, HubSpot AI tries to tackle the never-ending chore of keeping CRM data clean. Its main trick is automatically filling in contact properties by pulling information out of emails.

How HubSpot AI Auto-complete Suggestions auto-fill contact properties

Here's the idea: when you log an email from a connected personal inbox, HubSpot's AI scans the email signature and body for details like a person's name, job title, phone number, and address.

If it finds something that's missing from the contact's record in your CRM (like an empty "Job Title" field), it will fill it in for you. The system logs the change as coming from "HubSpot AI," so you have a record of where the new data came from.

A screenshot showing a contact's timeline in HubSpot, where automatically filled properties would be logged.

Where HubSpot AI Auto-complete Suggestions for CRM fall short

This sounds like a nice fix for data hygiene, but in reality, it's pretty limited. As some

users on Reddit have mentioned, getting it to work reliably is a challenge.

Reddit

For one, it only scans the first email from a new contact. If their signature isn't in that specific email, or if it's an old one, you've missed your chance. The AI won't look at later emails in the thread.

It also refuses to update existing data. To avoid messing things up, the feature is programmed to never overwrite information that's already there. So, if a contact gets a promotion and their job title changes, the AI won’t catch it. Your data can still get stale.

On top of that, it can't create new contacts. This feature is only for adding details to contacts you already have. It won't spot a new lead in an email and create a fresh record for them.

Finally, it's managed by individual users, not by a central admin. The feature only works for users who have connected their personal inboxes. This makes it tough to enforce consistent data practices across your whole sales team.

This basic level of automation often leaves you wanting more. A smarter AI should be able to do more than just scrape signatures. Modern tools like eesel AI can connect to other apps through API actions, letting you build much more powerful workflows. For example, you could set up a workflow where the AI checks a tool like Clearbit or Apollo.io for a contact's missing job title and automatically updates the record in HubSpot. That gives you much more control and better data.

HubSpot AI Auto-complete Suggestions for marketing content

HubSpot’s Marketing Hub has AI tools, too, mostly centered around helping you create content. There's an AI writer for blog posts and an AI assistant for writing email subject lines.

Using HubSpot AI Auto-complete Suggestions for marketing content

The tools are simple enough to use. You give the AI a few prompts, and it can spit out a blog post outline, a few subject lines, or a draft for a social media post. It's meant to be a brainstorming buddy to help you get over that initial writer's block.

This screenshot shows HubSpot's AI content generation tool, which is used for creating marketing content.

The challenge with generic HubSpot AI Auto-complete Suggestions

While it can be helpful for getting some words on the page, the content these tools generate often struggles to really connect with anyone.

It sounds a bit generic because it doesn't have a deep understanding of your customers or their problems. The AI isn't trained on your actual customer support conversations, so it's just guessing at what matters to them.

Because of this, the content it generates almost always needs a heavy round of edits to match your brand's voice and style. Sometimes, all that rewriting can take just as long as starting from scratch.

The real promise of AI in marketing isn't just about churning out more content; it's about creating smarter content. Since HubSpot’s marketing AI is walled off from the unfiltered customer feedback in your support desk, it’s missing a huge opportunity. A tool that can pull knowledge from all your sources, including support tickets, can help you write content that answers the questions your customers are actually asking.

The real cost of HubSpot AI Auto-complete Suggestions

It's also worth remembering that most of these AI features aren't available on HubSpot's free or starter plans.

To use something like Reply Recommendations, you need a Service Hub Professional plan, which starts at $800 a month (if you pay annually), or the Enterprise plan, which will set you back $3,600 a month. And that's not all. HubSpot also tacks on a mandatory one-time onboarding fee of $3,000 for Professional and $7,000 for Enterprise. That's a pretty steep price tag just to try out some AI features.

An image showing the different pricing tiers for HubSpot's plans, illustrating the cost of accessing AI features.

A better alternative to HubSpot AI Auto-complete Suggestions: True automation with eesel AI

While HubSpot offers some nice suggestions, a platform like eesel AI is built from the ground up for real, end-to-end automation. It's designed to solve the very problems we've been talking about.

Instead of a long, drawn-out sales process, you can set up eesel AI yourself in a few minutes. It connects to the help desk you already use, like Zendesk or Freshdesk, with one click, so you don't have to migrate anything.

And it doesn't just learn from your public knowledge base. It learns from everything: your past support tickets, internal Google Docs, Confluence pages, Notion wikis, you name it. This gives it a much richer, more complete picture of your business, your brand, and what your customers need.

Before you even turn it on, you can run a simulation to see exactly how it will perform on thousands of your past tickets. This gives you a clear forecast of how many tickets it will be able to resolve, so you can roll it out with confidence, starting with just a few ticket types if you want.

Best of all, the pricing is straightforward. eesel AI plans aren't based on how many tickets it resolves, so your bill won't suddenly jump just because you had a busy month.

HubSpot AI Auto-complete Suggestions vs. eesel AI

Here's a quick side-by-side comparison.

Moving from HubSpot AI Auto-complete Suggestions to solutions

So, what's the verdict on HubSpot AI Auto-complete Suggestions? They’re a decent starting point if your team is already living and breathing HubSpot. They work as advertised: as assistants that can give your agents a little help or fill in a few data fields.

But they don't deliver the kind of automation that actually saves significant time and money. The most powerful features are locked behind expensive enterprise plans, and even then, they're limited in what they can learn from and what they can actually do.

If you're serious about cutting down your ticket volume, making your team more efficient, and giving customers instant answers around the clock, you'll probably need to look beyond built-in suggestions. The choice is whether you want to stick with basic suggestions or move to a platform that can deliver real, autonomous solutions.

Take the next step

Ready to see what true AI automation can do? You can connect your help desk and build your first AI agent in under 5 minutes. Start your free eesel AI trial today.