What Does Your Brand Look Like in ChatGPT? I Pulled Back the Curtain on Two Tools That Can Answer That
This article explains Answer Engine Optimization (AEO) and compares HubSpot AEO's closed-loop content workflow with Ahrefs Brand Radar's broad seven-engine monitoring, covering pricing, prompt discovery, and a three-part framework for choosing between them.
Something happened recently that's making a lot of marketers nervous.
What kind of thing?
They suddenly realized their customers aren't coming to your website anymore.
And it's not just that traffic is dropping. Customers can't even be bothered to open a search engine. When they have a question, they go straight to ChatGPT, Gemini, or Perplexity.
"Project management software for small teams — any recommendations?"
ChatGPT answers on the spot. The customer reads the answer, and half the buying decision is already made.
So let me ask you: in the answer ChatGPT just gave, did you show up? Did your competitor? How were you described — favorably, or not?
Most people can't answer that.
This is the new reality marketers face in 2026. Buyers bypass search and ask AI directly, and the old SEO playbook is starting to fail. You spent a decade climbing to page one, only to find your customer never looks at rankings — she only listens to that one sentence ChatGPT says.
So a new term was born: AEO, Answer Engine Optimization.
Put simply, it's managing what you look like inside an AI's answer.
Today I'll walk you through two tools that do this work: HubSpot AEO and Ahrefs Brand Radar. Both are called AEO tools, but underneath they're two completely different animals. Which one you pick depends almost entirely on — what you want to do once you have the data.
First, the Quick Version: What Are They Actually Doing
HubSpot AEO watches three AIs — ChatGPT, Gemini, Perplexity — to see how your brand shows up inside them. But that's not the point. The point is, the moment it spots "you're missing from a question where your competitor showed up," it hands you a concrete action: write a blog post, tweak a page, post on LinkedIn — all done inside HubSpot's own house, no window-switching required.
Ahrefs Brand Radar watches seven AIs — four more than HubSpot: AI Overviews, AI Mode, Microsoft Copilot, and Grok. Its playbook is "broad coverage, big data, monitoring first." It holds 406 million real user search prompts, refreshed every month, so you can see exactly what people are actually asking. But once the data is in your hands, what you do next is up to you.
One is like a personal shopper who checks the data and places the order for you. The other is like an analyst who hands you all the data and leaves every decision to you.
Which is better? Depends on what kind of person you are.
The Real Watershed Isn't How Many Engines They Cover
Most people's first instinct when comparing tools is to count features. This one covers three, that one covers seven, seven wins.
Wrong.
How many engines are covered determines what you can see. But seeing something and being able to act on it are two different things.
Let me give you a concrete scenario.
Say you open the tool and find a gap: when customers ask about "project management software for small teams," every one of your competitors shows up — and you're the only one absent.
At this point, inside HubSpot AEO, the tool pushes a prioritized recommendation — "write a blog post for this prompt." One click and you're in the content editor; finish writing and you publish straight to your blog, LinkedIn, Reddit. After publishing, the data flows back, and you can immediately see whether your AI exposure has shifted. That's a closed loop.
And in Ahrefs Brand Radar? The same gap data is sitting right there in front of you, and then —
Nothing.
You have to take that data yourself, go back to your own content system, build a brief, assign tasks, track progress, then switch tools again to check the results. The chain is broken; you have to stitch it together yourself.
This isn't because Ahrefs did a bad job. It's a difference in product philosophy. Ahrefs thinks: you're an SEO veteran, you have your own workflow, I give you the data, you wire it up. HubSpot thinks: you're a marketer, you're slammed, I'll just do the work for you.
So the real question to ask isn't "who covers more." It's this:
Does your team already have a smooth pipeline running from data to publish — or has that pipeline never been built in the first place?
If it's built, Ahrefs is enough. If it isn't, HubSpot builds it for you.
Let's Do the Math
Pricing is where it gets interesting.
HubSpot AEO starts at $50 a month. 28-day free trial, no credit card required, giving you 25 prompts across three engines to take it for a spin first. If you want to plug it into the full marketing stack, the HubSpot for Marketers suite starts at $900 a month, with AEO included.
Ahrefs Brand Radar runs on different logic. There's no free trial, and no discounts — you pay from the moment you walk in. But if you're already in the Ahrefs family, adding Brand Radar is basically an afterthought: the Starter plan starts at $29 a month and already includes it.
What's genuinely expensive is buying it standalone. Brand Radar sold on its own: the base tier is $199 a month, partial platforms $398, all platforms $699. The moment you want full engine coverage, you're paying 14 times what HubSpot charges in a single month.
Let me run that again.
$50 vs $699. Three engines covered vs seven.
Which is the better deal? It comes back to that same question — do you actually need those four extra engines?
If your customers are enterprise IT managers living inside the Microsoft ecosystem, the Copilot line is something you have to watch, and Ahrefs's extra coverage is worth it. If your customers are regular consumers, ChatGPT, Gemini, and Perplexity already cover the bulk of AI search — those four extras may just be inventory you paid for but never use.
Don't pay for coverage you won't use.
The More Hidden Difference: Who Thinks Up the Prompts for You
The hard part of AEO isn't reading the data. The hard part is knowing which prompts to watch.
Watch the wrong ones, and you'll spend half a day staring at useless data.
HubSpot's approach: it auto-recommends prompts based on the customers, orders, and competitor data sitting in your CRM. You're not guessing from zero. It knows what you sell and how customers find you, so the questions it pushes to you are right from the start.
Ahrefs's approach is different. What it hands you is 406 million real search records — you go fishing in there yourself. The upside is the pool is huge and the source is authentic; the downside is, you have to know how to fish. Brand Radar's custom prompt quotas vary wildly across plans: the Lite plan gives you just 5 prompts and 150 queries per month; only the standalone Enterprise plan opens it up to 2,500+.
Put simply: HubSpot thinks for you, Ahrefs makes you think for yourself but gives you a bigger pool.
Which is friendlier depends on whether you have someone on your team who understands both SEO and the business sitting in a seat.
If you do, Ahrefs's pool is a gold mine. If you don't, HubSpot's CRM-driven recommendations are a lifeline.
How to Choose — A Three-Part Test
Stop building feature comparison tables; you won't get an answer that way. Let me locate you with three questions instead.
First: are you buying this tool to "see," or to "change"?
If you just want to know how AI talks about you — pick Ahrefs Brand Radar. Its seven-platform coverage and 406-million-prompt library are the most complete monitoring available today. And if you're already in the Ahrefs family, adding it in costs almost nothing extra.
If after looking, you want to actually close that gap — pick HubSpot AEO. Its closed-loop workflow was built for exactly that.
Second: which AIs do your customers actually hang out in?
This is a real question, not a rhetorical one. Microsoft-ecosystem customers — you can't skip Copilot. Consumer-facing — ChatGPT, Gemini, and Perplexity are enough. Go ask the people around you which AI they use to look things up. It sounds small, but it shapes the choice. Buy without checking, and you're buying blind.
Third: who on your team is going to use it?
An SEO veteran — Ahrefs is faster to pick up. He knows the interface, he knows the logic, he's running in minutes. A content marketer or a marketing generalist — HubSpot is faster to pick up; the CRM-driven prompts mean she can do the job without having to understand SEO. For most teams, you'll see real data inside HubSpot on day two.
What If Neither Is Right — Who Else Is Out There?
I'm not going to pretend these two are the only options.
If you need enterprise-grade, cross-market, executive-reporting depth — Profound goes deeper on that line, with heavier attribution tracking.
If you're already rooted in Semrush and want AI visibility to grow naturally on top of your existing workflow — Semrush AI Toolkit is the easiest integration. The depth is still being filled in, but the ecosystem is there.
If you just want to test the waters and see whether AEO is even worth investing in — a lightweight single-point tool like Otterly.ai has a low barrier; get it running first and decide later.
Tools keep evolving. The features I write down today may be different next quarter. But your judgment about your own business won't change — how busy you are, where your customers are, who's going to use it. Get those three clear, and the tool choice takes care of itself.
Back to the Question at the Beginning
What does your brand look like in ChatGPT?
If you can't answer that, then it's time to start managing it. There are two ways to manage it: wire it together slowly yourself, or find someone who's wired it together for you. Which one saves you more sanity — only you know.
All I can say is this: don't wait until your customers have made their decisions inside AI to realize you never once showed up in that answer.
By then, catching up costs far more than it does right now.