misquoted.ai vs HubSpot AEO Grader
HubSpot's AEO Grader is a free audit with a $50/mo upgrade — useful, smartly built, and unmistakably a HubSpot funnel. misquoted.ai is a paid accuracy product with a different goal. Here's when to pick which.
What you pay, what you get
Read the tiers before the marketing copy. Both columns are pulled from each vendor's public pricing as of April 2026.
- Free scan$0
- AI Readiness Report$49 one-time
- Full Accuracy Report$199 one-time
- Monitor Standard (monthly scans)$399/mo
- Monitor Pro (weekly)$599/mo
- Multi-brand bundles (3, 10, 20+)from $899/mo
- Free grader$0
- Continuous tracking (paid)$50/mo
- Bundled with HubSpotMarketing Hub plan dependent
- Multi-brandNot supported
- Correction playbookNot offered
What each tool actually measures
Different questions, different answers. Read the methodology before reading the score.
Accuracy across three models
We run 50–80 questions about your brand through ChatGPT, Claude, and Gemini, then look at the responses side-by-side. The score combines three things: do the models agree, are their claims factually correct against your site, and is your site emitting the signals AI crawlers want (llms.txt, JSON-LD, sitemaps).
When the models disagree, that's the failure mode we care about. One user asks ChatGPT and gets one answer; another asks Gemini and gets a different one. Your "brand" is whatever the dominant model says it is.
"We measure what the model gets wrong, not how often it shows up."
Five marketing dimensions
HubSpot scores your domain across five answer-engine optimization dimensions — citations, structured data, content quality, technical readiness, and prompt coverage. The free tool uses a single model (publicly noted as GPT-class). The paid tier adds continuous tracking and a few more queries.
It is genuinely well-designed for what it is: a free audit that surfaces the obvious issues, scoped to fit naturally inside the rest of HubSpot's marketing toolkit. The output is a marketing scorecard, not a fact-check.
"How visible are you in AI search, and what should the marketing team fix?"
Fifteen things buyers ask about
Checkmarks based on each vendor's published features as of April 2026. Where a feature exists with caveats, we mark it Partial.
| Feature | misquoted.ai | HubSpot AEO Grader |
|---|---|---|
| Scanning | ||
| Models queried per scanCross-model consensus matters when models disagree. | 3ChatGPT · Claude · Gemini | 1GPT-class only |
| Number of questions per scan | 50–80 | ~20 |
| Site crawl for ground-truth facts | ✓ | ✗ |
| Re-scan cadence | Monthly or weekly | Monthly (paid only) |
| Reporting | ||
| Composite readiness score | ✓ | ✓ |
| Per-model breakdown | ✓ | ✗ |
| Per-claim consensus matrix | ✓ | ✗ |
| PDF export | ✓ | Paid only |
| Shareable OG social card | ✓ | ✗ |
| Accuracy | ||
| Fact-backed accuracy scoring | ✓$199 tier and above | ✗ |
| Correction playbook with code snippets | ✓ | ✗ |
| Source verification per claim | ✓ | ✗ |
| Monitoring | ||
| Email alerts on score change | ✓ | Paid only |
| Multi-brand bundles | 3, 10, 20+ | ✗ |
| Weekly re-scans | Pro tier | ✗ |
| Integrations | ||
| HubSpot Marketing Hub workflow | ✗ | ✓ |
| Webhook + API access | Roadmap | ✓ |
Where each tool genuinely wins
If you bought misquoted, you would still admire what HubSpot built. If you bought HubSpot, you would still want what misquoted ships. They are different jobs.
Where misquoted is the better pick
If accuracy and cross-model consensus are the problem, the products diverge.
- 01Three-model consensus instead of one.A single-model score can't tell you that ChatGPT says one thing and Gemini says another. We surface that disagreement explicitly.
- 02Fact-checked accuracy, not just visibility.The $199 tier scores every claim against your site as ground truth. We don't just count if models mention you — we check if they're right.
- 03Correction playbook with copy-paste fixes.Every disputed claim ships with a recommended llms.txt entry or JSON-LD snippet. Fix the problem, don't just measure it.
- 04Multi-brand bundles for agencies and parent brands.Monitor 3 brands for $899/mo or 10 for $1,999. No equivalent on HubSpot's side.
- 05Weekly re-scan tier.When you ship a model release or a content change, you don't have to wait a month to see the impact.
Where HubSpot AEO Grader is the better pick
HubSpot built something real, free, and useful. Three reasons it might be the right call.
- 01You already live in HubSpot.If your marketing ops, contact data, and content workflows are already in Marketing Hub, AEO Grader plugs into the same surface. There is no second tool to learn.
- 02The free tier is genuinely high value.For solo founders or pre-PMF teams, a free five-dimension scorecard is plenty. You can run it, fix the obvious gaps, and decide later whether you need more.
- 03Lead-gen-friendly social proof.The HubSpot brand carries weight. If you're presenting an AEO audit to a CMO who already trusts HubSpot, the badge does work.
Total cost of ownership
What you actually spend over a year, once the tiers shake out.
misquoted.ai — Monitor Standard 1 brand
- Monthly 3-model consensus scan
- All $49 features included
- Correction playbook — refreshed each scan cycle
- Email alerts on score delta or claim flip
- Trend dashboard, accuracy over time
- AI Readiness Certification Badge
Playbook included in monthly plans. The standalone $199 Full Accuracy Report remains as a one-time on-ramp for non-subscribers.
HubSpot AEO Grader — Paid
- Continuous tracking on the free grader
- Five-dimension scorecard updates
- Single model, ~20 questions per scan
- HubSpot CRM & workflow integration
- No accuracy or consensus features
Standalone $50/mo is the headline. Real-world buyers usually carry a Marketing Hub seat alongside it ($20–890/mo per seat depending on tier).
If accuracy is the problem, pick misquoted
HubSpot's grader is a fine answer to "how do I look in AI search?" It is the wrong tool for "what are the models getting wrong, and how do I fix it?" Those are different questions with different price points and different deliverables.
Pick HubSpot AEO Grader if you already pay for Marketing Hub, you want the score in the same workspace as your contact data, and a single-model audit is enough. Pick misquoted.ai if you've already seen ChatGPT say one thing about your brand and Gemini say another — and you want a one-time fix or ongoing monitoring with a real correction loop.
You can also run both. The free scans don't cost anything, and the answers don't overlap.
See what three models actually say about your brand
Ninety seconds. ChatGPT, Claude, and Gemini queried in parallel. You get the score, the SEO-for-AI checklist, and a preview of the disagreements before you decide to pay.