HubSpot AEO Grader: What the Score Means and Misses

HubSpot's AEO Grader is a free, one-time check that asks ChatGPT, Perplexity and Gemini how they describe your brand, then returns a score out of 100. Run it for a two-minute read on how models characterize you. Do not read it as proof that AI recommends you to buyers.
This guide is based on public documentation as of October 2026. We have not tested the product hands-on: the full report sits behind a form, and we did not submit one. Everything below about HubSpot comes from HubSpot's own pages, fetched on 2026-10-03.
What is HubSpot's AEO Grader?
It is a free diagnostic from HubSpot that scores how three AI engines represent a brand. HubSpot's page now carries the title "AI Search Grader" and hubspot.com/aeo-grader redirects to it, but HubSpot's own FAQ and menus still say "AEO Grader". Same tool, two names.
You enter a company name, location, industry and product or service. HubSpot says it then sends that to ChatGPT, Perplexity and Gemini and asks each how it characterizes the brand. It claims results in under two minutes and no account. You can also enter a competitor's name, which is the smartest way to use it.
HubSpot positions it as the entry point to a paid product, HubSpot AEO. That is a fair business model, and the Grader is honest about being a snapshot. Answer engine optimization (AEO) is also called generative engine optimization, and a one-off grade is the shallowest layer of it.
What does the AEO Grader score measure?
The 100-point score splits across five dimensions, and HubSpot's page publishes the weights. Four-fifths of the points reward how models talk about your brand once asked about it. Only 10 points are described as ranking against competitors.
| Dimension | Points | What HubSpot says it measures |
|---|---|---|
| Sentiment | 40 | Tone: general, by topic, and by source credibility |
| Presence quality | 20 | Mention depth, source quality, data richness |
| Brand recognition | 20 | How widely models know the brand |
| Share of voice | 10 | Rank versus competitors in the answers, plus a rank bonus |
| Market competition | 10 | Leader, Challenger or Niche role; Innovator, Disruptor or Traditionalist |
HubSpot's reasoning for the sentiment weight is that it shows "how AI characterizes your brand, not just whether it recognizes you." That is coherent for a brand-perception tool. It is a poor fit for the question most readers actually have.

Where do the Grader's answers come from?
Per HubSpot, it runs pre-set queries on your behalf, and the engines answer from different sources. HubSpot's AEO page says ChatGPT and Gemini "pull from training data" while Perplexity uses live search. The Grader page itself names the engines as GPT-5.4 mini, Perplexity and Gemini.
Two consequences follow:
- Training data lags. A new product, rebrand or fresh round of coverage may not be in it yet. The Grader's recognition score then reflects the past.
- Live search is a different channel. OpenAI says OAI-SearchBot surfaces sites in ChatGPT's search features, a separate mechanism from model training. A grade built on training data says little about whether a retrieval crawler can reach your pages.
HubSpot's two pages also describe the data source slightly differently (the Grader page says "training data" for all three engines; the AEO page's FAQ says Perplexity is live). We take the more specific FAQ wording as correct. We could not verify which prompts the tool sends, because HubSpot does not publish them.
What can't the grade tell you?
It cannot tell you whether you are named when a buyer asks an unbranded question such as "best CRM for a five-person agency". It describes what models say when your brand is the subject. Buyers rarely start there.
Four gaps matter in practice:
- Unbranded recommendation. Sentiment about a brand you were asked about is not the same as being chosen from a category list.
- Repeatability. SparkToro's study of 2,961 runs by 600 volunteers found under a 1-in-100 chance that two ChatGPT or Google AI responses list the same brands. One run is one sample.
- Engine coverage. Claude and Google AI Overviews are not listed, and HubSpot names one OpenAI model; check that it matches the tier your buyers actually use.
- Sources. The score does not say which third-party pages shaped the answer. A 2025 arXiv study reports AI search showing "a systematic and overwhelming bias towards Earned media" over brand-owned content, so that is where fixes usually live.
Sentiment is also rarely the problem. In AEOeye's audit records (127 completed audits, June to September 2026, self-selected brands), brands were named in 157 of 892 engine answers, and 144 of those 157 mentions were positive. Small and not representative, but the pattern is consistent: being absent is the common failure, not being disliked. A grade that gives 40 points to tone tilts toward the rarer problem.
What did we see on hubspot.com's own pages?
When we fetched HubSpot's pages on 2026-10-03, nothing blocked AI crawlers. This is a neutral fact box from one fetch, not a verdict, and hubspot.com was not part of our 391-site crawler access study.
- robots.txt: one
User-agent: *group, no AI bot named, and the Grader page is not disallowed. - llms.txt: present at
hubspot.com/llms.txt(HTTP 200). - Grader page JSON-LD in served HTML: WebApplication with a free Offer, an Organization, an AggregateRating and an FAQPage of ten questions.
What are the alternatives?
It depends on the job: a one-time brand read, a buyer-question test, or ongoing tracking. HubSpot's Grader suits the first, our free audit and report suit the second, and monitoring platforms exist for the third.
| HubSpot AI Search Grader | HubSpot AEO | AEOeye free audit | AEOeye full report | |
|---|---|---|---|---|
| Price | Free | $50/month ($45 annual) | $0 | $29 one-time |
| Engines | ChatGPT (GPT-5.4 mini), Perplexity, Gemini | ChatGPT, Perplexity, Gemini | ChatGPT | ChatGPT, Claude, Gemini, Google AI, Perplexity |
| Questions | Pre-set, about your brand | 25 prompts you track | 3 unbranded buyer questions | 10 buyer questions |
| Repeats over time | No | Yes | No | No |
HubSpot AEO has a free trial of 25 prompts with no card, and is included in Marketing Hub Pro and Enterprise. Its price, as of October 2026, is $50 a month, or $45 a month billed annually, and HubSpot labels it beta.
AEOeye's free audit shows the real ChatGPT answers in full and who is recommended instead of you. The $29 report adds four engines, each tested at the default tier a free user sees. We do not track daily; for that, see the best AI visibility tools. Our free-checker comparison covers the one-time options.

Should you use the AEO Grader?
Yes, once, and on more than one brand. It costs nothing, takes minutes and shows how three models describe you. Do not buy a monthly tracker on the strength of the number alone.
A sensible sequence:
- Run the Grader on your brand and your two closest competitors. Read the written interpretation, not the number.
- Write 10 unbranded questions your buyers would ask. Run them in each engine you care about, several times each. Our measurement guide explains how to score the results.
- If you are named rarely, fix sources and crawl access before you pay for monitoring.
- Pay for tracking only when you will act on weekly changes. HubSpot's separate, free AI Search Sensor shows industry-wide trends but, per HubSpot, "won't show your brand's visibility."
The Grader's real service is getting a team to ask whether AI knows them. Answering whether AI recommends them takes the questions above. To see that for ChatGPT in a few minutes, run our free audit.
FAQ
Is HubSpot's AEO Grader free?+
Yes. HubSpot's page (checked October 2026) says the one-time analysis costs nothing and needs no account, although you complete a short form to see the full report. Ongoing tracking is a separate product, HubSpot AEO, at $50 a month ($45 a month if paid annually) for 25 prompts.
Which AI engines does HubSpot's AEO Grader check?+
HubSpot says it analyzes OpenAI's GPT-5.4 mini, Perplexity and Gemini. It does not list Claude or Google AI Overviews. HubSpot's FAQ adds that ChatGPT and Gemini answer from training data, while Perplexity uses live search.
Does a high AEO Grader score mean AI recommends my brand?+
Not necessarily. Eighty of the 100 points reward how favorably, deeply and widely models know your brand when asked about it. A high score can coexist with never being named when a buyer asks an unbranded category question, so test those questions directly.
How often should I re-run a one-time AEO check?+
Treat each run as one sample. AI answers vary between runs: a SparkToro study found under a 1-in-100 chance that two responses list the same brands. Re-run monthly, or after major content changes, and compare trends rather than a single grade.
Sources
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