HubSpot doesn't usually build features speculatively. So when a dedicated answer engine optimisation AEO tool shows up in beta, it's worth reading as a signal about where buyer research is heading. The product measures how often your business appears in answers from ChatGPT, Gemini, and Perplexity, then gives you a roadmap for improving that position.
It's a useful piece of the puzzle, but it works best when paired with the strategy and content production that actually move the needle. Here's a closer look at what HubSpot AEO includes, and where the work still needs to happen outside the platform.
A visibility score for AI search
The headline feature is a brand visibility score. It tracks how frequently your business appears in AI-generated answers across the major answer engines and breaks down whether those mentions are positive, negative, or neutral.
For most businesses, this is the first time they've had a quantified view of their position in the AI ecosystem. You might already be the top recommendation in ChatGPT for your category. You might also be absent entirely. Until now, knowing has required manual prompting and a lot of guesswork.
The score also compares you against competitors, so you can see whether the gap is closing or widening over time.
Our free AI Visibility tool also scores your website and gives you insights on which queries you should be answering to join the conversation.
Prompt tracking that uses your business context
One of the harder parts of answer engine optimisation is deciding which prompts to monitor. Buyers don't search with neat keywords anymore; they ask layered questions in natural language, and the number of variations is enormous.
HubSpot uses what it already knows about your company, your competitors, and your industry to suggest prompts worth tracking. It's a sensible shortcut, especially for businesses without the analyst capacity to build prompt libraries from scratch.

Citation analysis
This is where the platform gets more useful for content teams. HubSpot AEO shows you which domains, pages, and content formats are being cited in AI answers within your category. Once you can see what's being referenced, the question of what to produce next gets much easier. Instead of guessing whether long-form guides, comparison pages, or Reddit threads are driving citations, you can see it in the data.
This insight is genuinely valuable. The catch is that knowing what type of content earns citations is different from producing it consistently and at the quality bar required to compete.
Prioritised recommendations
The platform turns the data into a prioritised list of actions: pages to create, posts to update, outlets to pitch. For internal marketers juggling several priorities, having a clear "do this next" view cuts through the noise. It also makes AEO easier to defend internally, because the activity is tied to specific visibility outcomes rather than abstract ranking goals.
The CRM advantage
HubSpot has positioned AEO to get sharper when connected to Marketing Hub Pro or Enterprise. The more the system understands about your customers, your sales cycle, and your existing content library, the more specific its recommendations become. Content creation tools sit alongside the AEO dashboard, so the gap between insight and execution narrows.
If you're already in the HubSpot ecosystem, this integration is a strong reason to take the tool seriously rather than running parallel platforms that don't talk to each other.

Where the tool stops
HubSpot AEO is a measurement and recommendation engine. It tells you what's happening, where the gaps are, and what to prioritise. What it doesn't do is write the content, manage your social signals across Reddit and YouTube, build out the schema your site needs, or run the technical SEO foundations that answer engines rely on first.
Answer engines pull from a much wider source list than traditional search. They scan video transcripts, review platforms, social discussions, and editorial coverage alongside your website. Earning citations requires presence across all of those channels, produced to a standard that AI systems will treat as authoritative. That's a content and strategy problem, not a dashboard problem.
This is the gap where most internal teams stall. The data is there, the recommendations are there, but the production capacity isn't. Or the technical work needed to make the site readable to AI crawlers sits in the backlog. Or the social presence required to be cited as a recommendation hasn't been built yet.
Pairing the tool with the work
Our AEO services are designed to handle the part HubSpot AEO measures. We cover the technical structuring of your website, schema implementation, content production across blog and video, social signal management, and the reporting that ties visibility back to commercial outcomes.
Used together, the platform tells you where to focus, and our team makes sure the work gets done at the standard required to actually shift your position. For HubSpot customers, the combination is efficient. You're already paying for the visibility data; the question is whether you have the capacity to act on it.
If you're already using HubSpot AEO, or considering it, the next step is making sure the insights become outcomes. Have a look at our AEO services to see how we work alongside the platform to grow your visibility in AI search results.
Frequently asked questions
What is the difference between HubSpot’s AEO tool and AEO services?
HubSpot’s AEO tool helps you measure and monitor your visibility across platforms like ChatGPT, Gemini, and Perplexity. It shows where your brand appears, which prompts matter, and what content is earning citations.
AEO services are the execution layer behind those insights — creating the content, implementing schema, improving technical SEO, building authority signals, and managing the ongoing optimisation required to improve your visibility over time.
Can HubSpot AEO improve my AI search visibility on its own?
The platform provides recommendations and reporting, but it doesn’t automatically produce the work required to improve rankings in answer engines. Businesses still need content production, technical optimisation, authority building, and distribution strategies to earn more citations and recommendations in AI-generated answers.
What types of content help improve AEO performance?
Answer engines pull information from multiple sources, including blog articles, comparison pages, FAQs, videos, Reddit discussions, reviews, and industry publications. Strong AEO strategies focus on building authoritative content across several channels rather than relying only on traditional SEO blog posts.
Why is technical SEO important for AEO?
AI platforms rely heavily on structured, crawlable, and well-organised content. Schema markup, internal linking, page structure, metadata, and website performance all help answer engines understand and trust your content. Without these foundations, even strong content may struggle to be cited in AI responses.
How do your AEO services work alongside HubSpot?
HubSpot provides the visibility data and recommendations, while our AEO services help execute the strategy behind the numbers. We support businesses with technical optimisation, schema implementation, content creation, video and social content strategies, and ongoing reporting — helping turn HubSpot’s insights into measurable visibility growth across AI search platforms.

