| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| People analytics | Workforce planning and analytics | 22% | 1 of 114 | 17% | 48 | accepted challenger | ▲+8Since September 2026: 13% → 21%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Employee monitoring | Workforce planning and analytics | 0% | 34 of 75 | 0% | 1 | under 10 labels · led by ActivTrak at 33% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| People analytics | 13% | 21% | ▲+8Since September 2026: 13% → 21%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 1 of 114 |
| Employee monitoring | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 34 of 75, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 1 | 0 | 1 | 3 |
| Perplexity Sonar | 1 | 2 | 0 | 2 | 5 |
| Grok 4.1 Fast | 2 | 2 | 1 | 1 | 6 |
| Mistral Small | 2 | 0 | 1 | 1 | 4 |
| DeepSeek V4 Flash | 2 | 2 | 0 | 0 | 4 |
| Llama 4 Maverick | 2 | 0 | 0 | 1 | 3 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 0 | 2 |
| Kimi K2 | 2 | 2 | 1 | 0 | 5 |
| GLM 4.7 FlashX | 1 | 3 | 0 | 1 | 5 |
| MiniMax M2.5 | 1 | 2 | 0 | 0 | 3 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 3 | 2 | 0 | 1 | 6 |
Verbatim evidence the judge attached to positive labels.
“In summary, Crunchr is a strong, practical choice for organizations that want straightforward, self-service HR analytics and workforce insights, especially in the mid-market segment.” Muse Glimmer 30B · People analytics · paraphrase prompt · first choice
“Crunchr and ChartHop are frequently cited as top choices due to their scalability, ease of use, and focus on self-serve analytics.” Mistral Small · People analytics · direct prompt · first choice
“1. Crunchr: Best for mid-market and enterprise HR teams that want self-serve people analytics without building everything in BI.” Llama 4 Maverick · People analytics · direct prompt · first choice
“HiBob and Crunchr are especially recommended for their ease of use, strong analytics, and fit for mid-market needs” Mistral Small · People analytics · paraphrase prompt · first choice
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.
“criticized challenger in SMB modelling and included in the enterprise-grade caution list” Muse Glimmer 30B · People analytics · negative prompt · hard negative
“avoid enterprise-focused tools like Visier, Workday, One Model, ChartHop, Crunchr” Mistral Small · People analytics · negative prompt · hard negative
“Enterprise tools like Visier/Crunchr (~$50K+/yr) aren't budget-friendly.” Grok 4.1 Fast · People analytics · budget prompt · hard negative
“User reviews highlight Crunchr as being extremely expensive and having a steep learning curve.” GLM 4.7 FlashX · People analytics · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 104 of the 104 answers that named Crunchr and are not a share of its labels.
429 of the 429 domain citations in answers naming Crunchr came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 78 | 0 | 2026-06-04 | People analytics, Workforce planning | |
| Glossary or explainer | 13 | 3 | 2026-09-07 | People analytics, Succession planning | |
| Webinar or virtual event | 10 | undated | People analytics | ||
| Case study | 8 | undated | |||
| News or press | 6 | undated | |||
| Podcast or video | 5 | undated | People analytics | ||
| Report or ebook | 1 | undated | People analytics | ||
| Comparison | 1 | undated |
Every page crunchr.com 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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
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.
What Crunchr's own pages state, read September 28, 2026: crunchr.com, crunchr.com/use-cases/hr-it, crunchr.com/customers. A claimed page can correct any of them.
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 Crunchr'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 Crunchr, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Crunchr by email, built from the raw record of the edition. It shows:
AI models recommend Crunchr first in People analytics this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.