HubSpot's AEO Grader is free, takes 60 seconds, and gives you a brand performance score across ChatGPT, Gemini, and Perplexity. Millions of marketers have tried it. And for what it does, it does a decent job.
But it is not an AI visibility audit. Not even close. If you have run the AEO Grader and thought "great, I know where I stand," you are working with about 20% of the picture. Here is what it actually checks, what it skips, and why that gap matters more than you think.
What HubSpot's AEO Grader Actually Does
The AEO Grader is a brand-level sentiment and visibility tracker. You enter your brand name, pick your industry, and HubSpot queries GPT-4o, Perplexity, and Gemini with a set of prompts related to your space. Then it scores you across five dimensions:
- Brand recognition: how often AI mentions you
- Competitive positioning: whether you are a Leader, Challenger, or Niche Player
- Contextual relevance: what topics AI associates with your brand
- Sentiment polarity: whether mentions are positive, negative, or neutral
- Citation frequency: how often AI references you compared to competitors
You get a report with share of voice data, sentiment breakdown, and some recommendations. It is genuinely useful as a first look. Credit where it is due: HubSpot made AI visibility accessible to people who had never thought about it before.
What the AEO Grader Does Not Check
Here is where things get interesting. The AEO Grader tells you that AI mentions your brand. It does not tell you whether what AI says is accurate.
That distinction matters enormously.
We have run hundreds of AI visibility audits. In roughly a third of them, AI models were confidently sharing wrong information about the company. Wrong pricing. Discontinued products listed as current. Competitors described as partners. One B2B company discovered that ChatGPT was telling prospects they offered a free trial they had never had.
The AEO Grader would have scored that company well. High mention frequency, positive sentiment. But the information driving those mentions was wrong, and that is worse than not being mentioned at all.
Beyond accuracy, here is what the AEO Grader skips entirely:
No Page-Level Technical Analysis
The Grader does not look at your website. Not your robots.txt. Not your structured data. Not your schema markup. Not whether AI crawlers can actually access your pages. It is a brand query tool, not a site audit tool. If GPTBot is blocked in your robots.txt and your pages are invisible to AI training data, the AEO Grader will not flag it.
No Custom Buyer Prompts
HubSpot uses its own prompt library. Generic industry queries like "best CRM software" or "top marketing agencies." These are reasonable starting points but rarely match the actual questions your buyers ask. A manufacturing company's prospects are not searching "best manufacturers." They ask things like "who supplies custom aluminum extrusions in the Midwest with ISO 9001 certification." The AEO Grader never tests those.
No Source Tracing
When AI recommends your competitor instead of you, why? Which pages, articles, or third-party sources is it pulling from? The AEO Grader does not trace citations back to source content. Without that, you are left guessing what content to create or improve.
No Fix Prioritization
You get recommendations, but they are generic. "Improve your content structure." "Add FAQ sections." That is the same advice every brand gets. A real audit tells you which specific pages need changes, in what order, and what the expected impact is.
The Knowledge Cutoff Problem
There is a technical limitation worth knowing about. The AEO Grader's ChatGPT analysis relies on GPT-4o, which has a training data cutoff. That means if your brand has changed significantly in the past year, the grader's ChatGPT scores may reflect outdated information. HubSpot does not specify exactly how current the Perplexity and Gemini data is either.
This is not a flaw unique to HubSpot. Any tool querying AI models faces this challenge. But it means the scores you see might not reflect reality as of today, and the AEO Grader does not flag that caveat prominently.
What a Real AI Visibility Audit Covers
A full AI visibility audit works at both the brand level and the page level. Here is what that looks like, and why both layers matter.
Technical Foundation
Before asking what AI says about you, you need to confirm AI can read your site at all. That means checking robots.txt for AI crawler access, validating structured data and schema markup, confirming sitemap availability, testing whether your content is rendered in a way AI can parse (not buried in JavaScript or images), and evaluating heading structure and content readability.
If your technical foundation is broken, nothing else matters. You could have the best content in your industry, but if GPTBot and ClaudeBot cannot crawl it, you are invisible. The AEO Grader cannot tell you this because it never looks at your site.
Real Buyer Prompt Testing
Instead of generic industry queries, a proper audit uses 20 to 50 prompts built around your specific business, competitors, and the questions your actual customers ask. We query ChatGPT, Gemini, Claude, and Perplexity with each prompt and record the full responses. Not just whether you were mentioned, but exactly what was said.
Accuracy Verification
Every AI response gets checked against reality. Is the pricing correct? Are the services described accurately? Are your locations right? This is tedious, manual work, and it is the most valuable part of an audit. Because a positive mention with wrong information sends prospects to your competitor or creates confusion that your sales team has to clean up.
Competitor Citation Mapping
When AI recommends someone else, the audit identifies exactly who gets cited, which of their pages AI references, and what makes those pages citable. This is not just "you are behind Competitor X." It is "Competitor X gets cited because they have a comparison page with a clear pricing table and three third-party review links that AI pulls from."
Prioritized Action Plan
The output is not a score. It is a prioritized list of specific changes: which pages to update, what content to create, which technical fixes to implement first, and what the expected impact is for each one. For the deep audit, that includes a developer-ready fix list.
HubSpot AEO Grader vs AI Visibility Audit
| Capability | HubSpot AEO Grader | Full AI Visibility Audit |
|---|---|---|
| Brand mention tracking | Yes, across 3 platforms | Yes, across 4+ platforms |
| Sentiment analysis | Yes | Yes, with accuracy checks |
| Competitive positioning | Basic (Leader/Challenger/Niche) | Detailed citation mapping |
| Technical site analysis | No | Yes (robots.txt, schema, crawlability) |
| Custom buyer prompts | No (generic industry queries) | Yes (20-50 tailored prompts) |
| Accuracy verification | No | Yes, every response checked |
| Source tracing | No | Yes |
| Prioritized fix list | Generic tips | Specific, page-level actions |
| Cost | Free | Varies (EUR 479 - EUR 1,490+) |
| Time to results | 60 seconds | 3-5 business days |
When the AEO Grader Is Enough
Use HubSpot's tool when you want a quick pulse check on brand visibility. It is ideal for quarterly benchmarks, for introducing the concept of AI visibility to your team, or for getting a rough sense of how you compare to competitors in AI responses. If you have never thought about AI visibility before, it is a great starting point.
It also pairs well with other free scanners that cover the technical side. Run HubSpot's Grader for brand sentiment, then run a technical scanner for site-level checks. Together, they cover more ground than either one alone.
When You Need the Full Audit
The AEO Grader stops being enough when you need to take action. Specifically:
- When AI is saying something wrong about your business and you need to fix it
- When you are losing deals to competitors who show up in AI responses and you do not
- When you need to present a concrete plan to leadership, not just a score
- When generic recommendations like "improve content structure" are not actionable enough
- When your actual buyer queries are too specific for generic prompt libraries to catch
These situations need someone to query AI with your real context, read every response, verify every fact, and build a plan. That is what separates a grader from an audit.
What To Do About It
Start with HubSpot's AEO Grader. It is free and fast, and there is no reason not to run it. See your brand score, look at the sentiment data, note which competitors show up.
Then ask yourself: do I know what AI actually says about my business? Not the sentiment score. The actual words. Are they accurate? Are they helping or hurting?
If you cannot answer those questions, you have a visibility score but not visibility intelligence. And in a world where AI increasingly shapes how buyers discover and evaluate companies, that difference is the one that matters.
Run the free AI visibility scan to check your site in 60 seconds. For the full picture of what AI says about you, and whether it is accurate, check the audit options on the same page.