The HubSpot AEO stack — pairing the AEO Grader with a Track-to-Publish loop
HubSpot’s AEO Grader scores your AI visibility across five dimensions. None of them tell you what to publish next. Here’s how to close the loop.
Last updated: 2026-05-24
TL;DR
HubSpot’s AEO Grader scores AI visibility across five weighted dimensions: Sentiment (40%), Presence (20%), Recognition (20%), Share of Voice (10%), and Market (10%). It is an excellent diagnostic — but a diagnostic is not a workflow. To turn the grade into sustained visibility lift, three more layers are needed: brief generation from each scoring gap, platform-specific drafts (Blog, Reddit, LinkedIn, PR pitch), and re-tracking to measure delta. Brands closing this loop move 4 to 8x faster than brands running the layers as separate workflows.
What does the HubSpot AEO Grader measure?
The Grader runs your brand through five weighted dimensions, returning a 0-100 score with per-dimension breakdowns.
The five dimensions, with HubSpot’s published weights:
| Dimension | Weight | What it measures |
|---|---|---|
| Sentiment | 40% | Tone of AI engine answers about your brand |
| Presence | 20% | How often your brand appears in AI responses to category queries |
| Recognition | 20% | Whether AI engines recognize your brand as a named entity |
| Share of Voice | 10% | Your share of total brand mentions across category queries |
| Market | 10% | How your scores compare to direct competitors |
The Grader is free, runs in about two minutes, and gives a clear baseline. For diagnosis, it is among the best free tools available.
Where does the AEO Grader stop?
The Grader tells you where you have a problem. It does not tell you what to publish to fix it.
A score of 18/100 on Brand Recognition tells you AI engines do not recognize your brand as a named entity in your category. That is useful. The next four questions are not answered:
- 01Which specific queries are missing your brand?
- 02What content would close the gap?
- 03What channel should that content live on — your blog, Reddit, LinkedIn, or a journalist’s inbox?
- 04After you publish, did the score actually move?
Most brands stop at the score. The 4-to-8x speed difference we see in our pilot cohort is not about scoring better — it is about closing the gap between scoring and publishing.
What does a complete AEO workflow look like?
A complete AEO workflow has four layers, not one.
| Layer | What it does | HubSpot AEO covers it? |
|---|---|---|
| Track | Monitor AI engine answers across category queries, scored over time | Yes — Grader plus ongoing AEO product |
| Brief | Translate each scoring gap into a content brief for a specific query cluster | No |
| Publish | Generate platform-specific drafts (Blog, Reddit, LinkedIn, PR pitch) and push them to channel | No |
| Re-track | Re-score the same queries 14 to 30 days after publishing to measure delta | Partially — re-runs the Grader |
HubSpot’s product is strong on Track and partial on Re-track. The middle two layers — Brief and Publish — are where brands lose six to eight weeks per content cycle, because the work happens across three or four tools with manual handoffs.
What does a closed loop look like in practice?
Take a B2B fintech brand scoring 18/100 on Share of Voice for “business banking for startups” queries.
Step 1, Track diagnoses the gap. The 18/100 is driven by three specific queries: “best business bank for startups”, “Mercury vs Brex vs [the brand]”, and “business bank account no fees”. The brand is mentioned in 12% of AI answers to these queries; the leading competitor is mentioned in 71%.
Step 2, Brief translates the gap into action. For each query, what would close the citation gap? In this case: a comparison post with an HTML table for the head-to-head query, a Reddit comment on r/startups answering the “no fees” question with specifics, and a LinkedIn post from the CEO on decision criteria for picking a business bank.
Step 3, Publish generates the three drafts in the right voice for each channel and routes them: the comparison post to the blog CMS, the Reddit comment to the user’s clipboard with the target subreddit pre-filled, the LinkedIn post scheduled to the CEO’s account.
Step 4, Re-track waits 14 days, re-runs the same three queries across ChatGPT, Claude, Gemini, and Perplexity, and reports whether the brand’s mention rate moved from 12% to a measurable lift.
That is the loop. It is not the score that wins — it is the speed of the loop.
Why do platform-specific drafts matter for AEO?
The same source idea needs four different drafts because the four AI engines source from different surfaces.
Reddit drives 28.4% of ChatGPT citations and 22.4% of Perplexity citations in our data. LinkedIn dominates professional-query citations, holding roughly 13% share on B2B-leaning queries. Blog posts drive Gemini and Claude. PR placements drive Wikipedia inclusions, which in turn drive entity recognition across all four engines.
A brand publishing only to its blog is optimizing for one of four citation surfaces. A brand publishing one source idea across all four surfaces, in each platform’s native voice, captures roughly 3 to 4x the citation surface from the same brief.
That is the publishing layer most teams skip. It is also the layer with the highest ROI on AEO content — because the brief is already done, and only the platform translation is left.
How does Citeable fit on top of HubSpot AEO?
Citeable is the Brief and Publish layer on top of HubSpot’s AEO.
We use the same engines HubSpot does — ChatGPT, Claude, Gemini, Perplexity — to track brand visibility across query sets. The difference is what happens after the score: every tracked gap routes into a brief, every brief generates platform-specific drafts, and every draft is one click from being published or sent.
If you already use HubSpot AEO, Citeable plugs into the same query set and closes the Brief, Publish, and Re-track loop without replacing the diagnostic layer you have.
If you do not yet use HubSpot AEO and want the free diagnostic first, run the Grader. It is the right starting point. Then come back to close the loop.
Frequently asked questions
Do I need HubSpot AEO to use Citeable?
No. Citeable’s tracking layer is independent. But the HubSpot AEO Grader is a free, useful diagnostic, and the two products complement each other.
What is the difference between the HubSpot AEO Grader and HubSpot AEO?
The Grader is a free, one-time scoring snapshot. HubSpot AEO is the ongoing monitoring product, currently at $50/month for the entry tier. Both score on the same five dimensions.
Can I just publish to one channel and skip the rest?
You can. You will earn citation on the engine that pulls from that channel, and miss the others. A blog-only strategy in 2026 leaves roughly 60% of your potential citation surface on the table.
References
- 01HubSpot, “AEO Grader”, 2026 — https://www.hubspot.com/aeo-grader
- 02HubSpot, “Answer engine visibility playbook”, 2026 — https://blog.hubspot.com/marketing/ai-search-visibility
- 03Citeable, “Where AI engines get their sources”, 2026 — https://citeable.de/blog/where-ai-engines-get-their-sources
- 04Citeable, “How to get cited by ChatGPT”, 2026 — https://citeable.de/blog/how-to-get-cited-by-chatgpt