Marketing

HubSpot AEO Review: An Honest Walkthrough for Healthcare and B2B Marketing Teams

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HubSpot AEO launched on April 14, 2026, and it's HubSpot's answer to the question every marketing team is quietly panicking about: how do we show up when buyers stop Googling and start asking ChatGPT?

I've been building websites for almost a decade. At MMG Studio, we run conversion-focused Webflow builds for B2B and healthcare companies, and over that time I've watched well over a hundred sites get rebuilt for whatever the algorithm of the moment was. SEO. Webflow. Now AI search.

Before I get into the review, one thing you need to know.

Nobody has cracked AI search yet. It's a black box. Anyone telling you they've got it figured out is selling you something. So the question I'm trying to answer in this post isn't whether HubSpot solved AEO. They didn't. The question is whether they built something useful enough to give your marketing team a baseline you can actually track.

I've spent the last few weeks running HubSpot AEO on a fresh trial account and on our paid agency account. Here's what I found.

What is HubSpot AEO?

HubSpot AEO is an answer engine optimization tool that tracks how your brand appears in AI-generated answers across ChatGPT, Gemini, and Perplexity. It surfaces a visibility score, sentiment analysis, competitor share of voice, citation data, and prioritized recommendations to help marketing teams improve how AI describes their business.

It launched on April 14, 2026 as part of HubSpot's Spring 2026 Spotlight release. The product is built on HubSpot's Q4 2025 acquisition of XFunnel, an Israeli AEO startup whose co-founder Beeri Amiel now leads the AEO product line at HubSpot.

The strongest differentiator is CRM-powered prompt suggestions. Most AEO tools force you to guess what your buyers are asking AI. HubSpot uses your CRM data to suggest the prompts that match your actual ICP. That's a real advantage, and no standalone AEO tool currently matches it out of the box.

How much does HubSpot AEO cost?

HubSpot AEO has two pricing paths. It's bundled into Marketing Hub Pro and Enterprise plans at no extra cost. For non-HubSpot customers, the standalone product is $50 per month with a 28-day free trial that doesn't require a credit card.

A few catches worth knowing before you sign up.

The free trial only lets you track 10 prompts, and only inside ChatGPT. The standalone $50 plan opens that up to 25 prompts across ChatGPT, Gemini, and Perplexity. To track more than 25 prompts, you have to schedule a custom call with HubSpot's sales team. There's no public pricing above that tier.

HubSpot AEO does not currently track Claude or Google AI Overviews. For B2B teams that's a real gap. Claude is the dominant AI assistant for business audiences, and Google AI Overviews are embedded directly inside Google search results, which makes them the most-seen AI surface for any brand that depends on organic traffic.

Why does AEO matter for healthcare and B2B companies?

Healthcare and B2B buyers are increasingly using ChatGPT, Gemini, and Perplexity to research vendors before they land on a website. When a marketing director asks AI what to look for in a healthcare website partner, your firm either appears in that answer or you don't. There's no second page to scroll to.

For healthcare specifically, AEO is more than a visibility play. It's a credibility and compliance play. AI engines pull from third-party sources, peer-reviewed content, and structured data on your site. If your healthcare brand is scattered, inconsistent, or thin on technical content, AI will fill in the gaps with whatever it can find. That's a problem in a regulated industry where misrepresentation has downstream consequences for sales, referrals, and trust.

The teams I see winning here treat AEO as a continuous monitoring layer, not a one-time audit. HubSpot AEO is one of the more accessible ways to start.

How do you set up HubSpot AEO?

Setup takes about ten minutes. You enter your brand name and domain, and HubSpot scans the web to identify how your brand currently appears across AI engines. From there it walks you through five quick steps:

  1. Confirm the brand name variations the tool finds online.
  2. Select your business type (B2B, B2C, or both).
  3. Review the competitor list HubSpot generates and refine it.
  4. Define your products, services, ICP, and industry.
  5. Approve or edit the prompts HubSpot recommends based on your CRM and ICP data.

A few tips from running this on multiple accounts.

Be picky with competitors. HubSpot will suggest companies that aren't actually in your market, and tracking irrelevant competitors waters down your data. For MMG, the tool initially surfaced a handful of Webflow agencies that don't serve healthcare. I trimmed those out.

Limit your products to one on the free trial. You only get 10 prompts, so building all of them around a single product gives you a cleaner signal.

Be clear, not clever, with your ICP names. The names don't have to be marketing-friendly. They just have to be recognizable to you when you come back later.

The CRM-powered prompt suggestions are genuinely good. The ones HubSpot generated for our agency ("why do healthcare companies struggle with generic website design platforms," "what causes B2B healthcare websites to underperform on lead generation") were close to the actual questions our ICP types into AI. That alone makes the tool worth a 28-day trial.

What does the HubSpot AEO dashboard actually show?

The HubSpot AEO dashboard shows five core data views: brand visibility over time, a visibility score from 0 to 100, competitor share of voice, citing domains, and citations by channel. Inside the prompts tab you can drill into how often your brand surfaces for each individual prompt.

Here's what each view actually tells you.

Brand visibility over time plots how often your brand variants appear across the three AI engines, broken out by date. Different brand mentions get different colors so you can see which version of your name AI is leaning on.

Visibility score is a 0 to 100 percentage showing how often you appear in the prompts you're tracking. Think of it like a speedometer for your AI presence.

Share of voice shows your competitors and how much of the answer surface they're owning compared to you.

Citing domains lists which sites are being referenced in answers about your brand or your competitors. If you have an SEO background, this will feel familiar. Citations and backlinks play a similar role in AI answers as they do in traditional search.

Citations by channel breaks down where the cited content lives: owned, earned, peer, review sites, UGC, and competitor content. This is one of the most useful views because it shows you which content types AI is actually pulling from for your category.

The most powerful tab in the platform is the recommendations tab. HubSpot ranks recommended actions by priority, gives you a content type to create, an example title, a target audience, and instructions for execution. For our agency, the tool surfaced specific Reddit threads where contributing a thoughtful answer would likely improve citation rate. That's a level of specificity I haven't seen in other AEO tools.

How accurate is HubSpot AEO data?

HubSpot AEO data is directionally accurate, but volatile. Visibility scores can shift significantly inside a single day depending on how AI engines respond to identical prompts at different times. Don't make business decisions off any single snapshot.

This isn't a HubSpot problem. It's a category problem. The underlying AI engines are non-deterministic. Two identical prompts run an hour apart will often surface different sources, different competitors, and different sentiment. The right way to read this data is by looking at trends over weeks, not days.

There's also a meaningful structural difference between AI search and traditional search. With Google, you can track exact keyword volume. With AI, prompts are longer, more conversational, and more specific to the user. The odds that two of your buyers type the exact same long-form prompt into ChatGPT are low. That's why HubSpot AEO and every other AEO tool report visibility as a percentage instead of a search volume number. It's a trade-off you have to get comfortable with.

Should your team use HubSpot AEO?

Use HubSpot AEO if you're already on Marketing Hub Pro or Enterprise. It's bundled in at no extra cost, the CRM-powered prompts are the strongest in the category, and the recommendations tab is worth turning on by itself. For standalone buyers at $50 a month, the answer depends on what you actually need.

Turn it on if:

  • You're a B2B or healthcare team looking for a low-friction baseline of how AI describes your brand.
  • You want CRM-quality prompt suggestions without manually building them.
  • You need an actionable recommendations layer to give your content team direction.

Look elsewhere if:

  • You need to track Claude or Google AI Overviews. HubSpot doesn't cover either yet.
  • You're an agency managing multiple client brands. HubSpot AEO is single-brand, single-portal.
  • You need deep aggregate citation data, influence scores, or share of voice broken down by individual AI engine.

For most healthcare and B2B marketing teams, HubSpot AEO is the easiest entry point into AEO without committing to a heavier tool.

The bottom line

HubSpot AEO is one of my favorite AEO tools right now, and I don't say that lightly. The onboarding is seamless, the CRM-powered prompts are a real differentiator, and after a few weeks of use I've seen meaningful change in how our brand appears in AI. The recommendations tab alone is worth the price of admission.

It's not a finished product. The engine coverage is too narrow, the prompt cap is too low, and the agency use case isn't there yet. But for a v1 from a company that hasn't been in this category before, it's a credible start.

If your marketing team has budget to play with and you're serious about AEO, sign up for the free trial and see your baseline. Then decide.

How MMG Studio is using HubSpot AEO

We use HubSpot AEO internally at MMG Studio to track how our agency surfaces in AI answers, and we're rolling it out as part of our website visitor intelligence engagements with healthcare clients. The data tells us which content gaps to fill, which Reddit and LinkedIn surfaces to engage on, and which competitors are pulling ahead in AI share of voice.

If you're a healthcare or B2B marketing team and you want a partner who can connect AEO data back to a website that's actually built to convert, that's the work we do at MMG Studio. Book a call here.

Frequently Asked Questions

Is HubSpot AEO free?

HubSpot AEO offers a 28-day free trial with no credit card required. The trial limits you to 10 prompts inside ChatGPT only. The paid standalone plan is $50 per month and unlocks 25 prompts across ChatGPT, Gemini, and Perplexity. It's also bundled into Marketing Hub Pro and Enterprise plans at no extra cost.

What's the difference between SEO and AEO?

SEO (search engine optimization) is the practice of ranking in traditional search results like Google. AEO (answer engine optimization) is the practice of appearing in AI-generated answers from tools like ChatGPT, Gemini, Perplexity, and Claude. SEO drives clicks. AEO shapes how AI describes your brand when buyers skip search entirely.

Does HubSpot AEO work for agencies?

Not yet. HubSpot AEO is single-brand and single-portal, which means agencies managing multiple client brands have to set up separate accounts for each one. There's no consolidated agency view. For solo brand tracking it works well. For multi-client tracking, look at tools built for that use case.

Does HubSpot AEO track Claude or Google AI Overviews?

No. As of May 2026, HubSpot AEO tracks ChatGPT, Gemini, and Perplexity only. It does not track Claude (the leading AI assistant for business audiences) or Google AI Overviews (the AI summaries embedded directly in Google search results). For B2B teams especially, those omissions are worth knowing about before you commit.

How long does it take to see results from HubSpot AEO?

You'll see baseline visibility data within minutes of completing setup. Meaningful trend data takes two to four weeks because AI engines are volatile day to day. The recommendations tab starts surfacing prioritized actions almost immediately, but the value compounds the longer you run the tool and the more prompts you track.