1 category · Named, not rankedQuerio
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Embedded analytics | Data platform | 2% | 17 of 72 | 0% | 2 | under 10 labels · led by Metabase at 22% |
Movement
By model
How each model treated Querio across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Metabase (especially with static embeds) and Querio are the top recommendations for companies with limited budgets” Mistral Small · Embedded analytics · budget prompt · first choice
“Querio: best when I want warehouse-native analytics, inspectable SQL/Python, and file-based governance” Muse Glimmer 30B · Embedded analytics · paraphrase prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
Named alongside
The products named in the same answers as Querio, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Querio was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 5 of the 5 answers that named Querio and are not a share of its labels.
Domains cited
Twenty-seven of the thirty-two domain citations in answers naming Querio came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
What it publishes
ShowHide
What it publishes
ShowHide| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 686 | 8 | 2026-09-24 | ||
| Comparison | 102 | 4 | 2026-09-24 | ||
| Glossary or explainer | 32 | 4 | 2026-08-31 | ||
| Case study | 17 | 15 | 2026-09-24 | ||
| Report or ebook | 17 | 9 | 2026-09-24 | ||
| Template or tool | 2 | 0 | 2025-09-06 |
Most recent
- 2026-09-24Jitter didn t die people just got bored blog
- 2026-09-24Your shitty internal claude app is not going to save your job blog
- 2026-09-24Request driven vs event driven architecture comparison
- 2026-09-24Dl 3 computational notebooks aaaa report or ebook
- 2026-09-24Physicial choice case study
- 2026-09-24Novafruit case study
How it is countedHide how it is counted
Every page querio.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
Follow Querio
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Querio is its own company.ShowHide
The company
In its own words
Stated by the vendor, not checked- Positioning
- Querio is an AI-native analytics platform where people and AI agents query warehouse data through a reactive SQL and Python notebook, with metrics and definitions stored as files.
- For
- Business users
- Price stated
- Startup, Core, Enterprise querio.ai
- Starting price
- $500 per month querio.ai
- Free plan or trial
- Get started for free querio.ai
- Integrations claimed
- 5 querio.ai/pricing
- Certifications
- SOC 2 Type II complianceSOC2HIPAAITAR complianceSOC 2 Type IISOC 2GDPR
- Customers named
- OpenVPNGrowdashAgree.comPassportTotal Primary CarePhysicians ChoiceAnthropicOpenAI
- Not stated on the pages read
- Hosting
What Querio's own pages state, read October 6, 2026: querio.ai, querio.ai/pricing, trust.querio.ai, querio.ai/solutions/team/data, querio.ai/case-studies. A claimed page can correct any of them.
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Querio's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Querio, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Querio by email, built from the raw record of the edition. It shows:
- where Querio is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Querio, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.