So you've done the AEO work. You've structured your content to answer questions directly, added the schema, built the topic clusters, kept your best pages fresh. If you haven't, start here, that's the foundational playbook. This piece picks up where it ends.
Here's the question nobody really answers: how do you know if any of it worked?

With old-school SEO, you had Google Search Console, ranking trackers, and traffic graphs. You can watch a keyword climb. AEO is murkier. The "win" is your brand getting named inside an answer that a buyer reads without ever clicking through to your site. No click means no traffic spike to point at. So how do you measure a result you might never see happen?
That's what this piece is about. The tools, what the numbers mean, and - the bit most people get wrong - how much to trust them.
First, Accept that AEO Measurement is Genuinely Harder
Let's say the thing nobody selling AEO tools will say out loud: measuring AI visibility isn't as clean as measuring search rankings, and it probably never will be.
Answer engines aren't deterministic. Ask ChatGPT the same question twice and you can get two slightly different answers. The models update their training data and their behaviour on schedules nobody outside the labs can see. And because the buyer often gets their answer without visiting your site, a lot of your "wins" are invisible by design.
This doesn't mean measurement is pointless. It means you measure for direction, not precision. A clear upward trend over months is real signal. A two-point wobble between Tuesday and Friday is noise. Hold the numbers loosely and you'll read them correctly. Treat them like Search Console rankings and you'll drive yourself spare.
Right. With that framing locked in, here are the tools.

Tool 1: The HubSpot AEO Grader (Free, Start Here)
The easiest entry point, and it costs nothing. No account required.
HubSpot's AEO Grader sends your brand information to ChatGPT, Perplexity, and Gemini and asks each one how it characterises your brand based on its training data. It returns a single score out of 100, built from five dimensions. Here's what each one is actually telling you:
Sentiment - the overall tone the answer engines use when they describe you. This is the highest-weighted dimension, and fair enough: being mentioned negatively is worse than not being mentioned at all. If this is low, the models have absorbed something unflattering about your brand.
Presence Quality - how substantive and accurate the models' knowledge of you is. Thin or vague presence means the models have seen you but don't really know what you do.
Brand Recognition - whether the engines recognise your brand as a known entity in your category at all. Low here means you're close to invisible.
Share of Voice - where you rank against competitors in AI answers, including a bonus for ranking position. This is the one to watch over time, because it's relative - you can improve while still losing ground if competitors improve faster.
Market Competition - how the engines position you competitively: Leader, Challenger, or Niche Player, plus whether you're seen as an Innovator, Disruptor, or Traditionalist. A low score here often just means the engines don't have enough information to place you yet.
The move that makes this genuinely useful: don't just run it on yourself. Run it on two or three competitors too. Your own score in isolation is hard to interpret. Your score next to theirs tells you whether you have a real gap and roughly how big it is.
Tool 2: HubSpot AEO (Paid, for Tracking Over Time)
The Grader is a snapshot. It tells you where you stand the moment you run it. What it can't do is show you movement, and movement is the whole point of measurement.
That's what the paid HubSpot AEO tool is for. It launched in public beta as part of the Spring 2026 Spotlight release, sitting alongside the rest of the Breeze AI suite. It continuously samples prompts across ChatGPT, Gemini, and Perplexity and tracks how your visibility changes week over week.
The pricing is refreshingly simple: it's included in Marketing Hub Pro and Enterprise at no extra cost, or $50 per month standalone if you're not on those tiers.
The feature that earns its keep is citation source tracking. For every prompt it monitors, it shows you when a competitor gets cited instead of you - and which sources drove that citation. That's not a vanity metric. That's a content brief. If the engines keep citing a particular publication or page when they answer a question in your category, you now know exactly where you need to show up.
Tool 3: The One Everyone Forgets - Your Own CRM
Here's the lowest-tech, most underused AEO measurement tool available, and you're already paying for it: a question on your enquiry form.
Add "How did you first hear about us?" to your forms, with "AI tool (ChatGPT, Perplexity, etc.)" as one of the options. That answer becomes a contact property in HubSpot. Which means you can report on it, trend it over time, and watch AI-sourced enquiries grow (or not) as an actual line on a chart rather than a hunch.
This is the measurement that matters most, because it's the only one tied directly to pipeline. The Grader tells you what the models think. The CRM tells you whether that's turning into actual clients contacting your actual business. One is interesting. The other pays the bills.
It's worth noting the lag: there's usually a 30-to-60-day gap between AI visibility improving and enquiries showing up, because that's the normal research-to-inquiry delay. So correlate your AEO score improvements with lead volume a month or two later, not the same week.
Putting It Together: A Simple Measurement Rhythm
You don't need a dashboard with forty metrics. You need a rhythm you'll actually keep. Here's a sensible one for an SME:
Monthly: Run the free AEO Grader on yourself and your top two competitors. Log the five dimension scores in a simple sheet. You're watching the trend line, not the individual number.
Monthly: Check your "How did you hear about us?" contact property in HubSpot. Note how many enquiries cited an AI tool. Watch the direction over time.
Quarterly: Do a proper review. Has your share of voice moved against competitors? Are AI-sourced enquiries trending up? Which content did you publish or refresh, and did anything correlate with a score change 30 to 60 days later?
If you're on the paid tool: Add a weekly glance at citation sources, and treat each "competitor cited instead of you" as a potential content brief.
That's it. Fifteen minutes a month and a proper look each quarter will tell you more than most businesses know about their AI visibility.
What "Good" Actually Looks Like
People want a target number. The honest answer is that the number matters less than the direction and the context.
A score of 45 that's climbing steadily, in a category where your competitors sit at 30, is a good position. A score of 70 that's been flat for six months while a competitor climbed from 40 to 65 is a worse position, even though the raw number is higher. AEO is relative and it's directional. Read it that way.
The clearest signal that it's all working isn't in any tool. It's when a new enquiry says "ChatGPT recommended you" - and then it happens again the next month, and the month after. That's the result the scores are a proxy for. When the proxy and the pipeline both point the same way, you're winning.
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So Go Check
Take five minutes. Run the AEO Grader on your brand and your closest competitor. Look at the gap.
Then go add that one question to your enquiry form, because in six months you'll want the data and the only way to have it then is to start collecting it now.
The businesses that win AI search aren't the ones with the cleverest tactics. They're the ones who measured honestly, kept doing what moved the number, and stopped doing what didn't.
Want help making sense of your AEO numbers, or actually moving them? Message us. We'll show you where you stand and what's worth doing about it.
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Happy HubSpotting!