| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Whistleblowing and investigations | Core HR and payroll | 25% | 1 of 107 | 0% | 33 | accepted challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 3 | 0 | 0 | 4 |
| Perplexity Sonar | 1 | 2 | 0 | 0 | 3 |
| Grok 4.1 Fast | 2 | 2 | 0 | 0 | 4 |
| Mistral Small | 2 | 0 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 3 | 0 | 1 | 0 | 4 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 1 | 3 | 0 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 3 | 0 | 0 | 4 |
Verbatim evidence the judge attached to positive labels.
“I'd recommend FaceUp as the primary choice — it hits the sweet spot of affordability, quick deployment, strong anonymity guarantees, and built-in case management” DeepSeek V4 Flash · Whistleblowing · paraphrase prompt · first choice
“This platform is frequently highlighted for its ability to integrate hotline intake, triage actions, and investigator notes into a single case record.” Mistral Small · Whistleblowing · paraphrase prompt · first choice
“FaceUp stands out as the top choice due to its strong mid-market focus, comprehensive investigation tools, and positive user feedback” Mistral Small · Whistleblowing · direct prompt · first choice
“Popular options for your scale include FaceUp, Whistlelink, and Vault Platform for their balance of features and affordability.” Grok 4.1 Fast · Whistleblowing · scale 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.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 95 of the 95 answers that named FaceUp and are not a share of its labels.
395 of the 475 domain citations in answers naming FaceUp came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 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 | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 311 | 0 | 2025-04-29 | Employee engagement surv, 360 feedback | |
| Comparison | 31 | 0 | 2025-11-05 | ||
| Template or tool | 15 | 0 | 2024-07-15 | ||
| Case study | 14 | undated | |||
| Glossary or explainer | 8 | 1 | 2026-07-08 | ||
| Report or ebook | 7 | 0 | 2024-09-23 | ||
| Webinar or virtual event | 2 | 0 | 2024-09-25 | ||
| Conference or event | 2 | undated |
Every page faceup.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 October 5, 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 FaceUp's own pages state, read October 5, 2026: faceup.com, faceup.com/en/pricing, trust.faceup.com, faceup.com/en/platform, faceup.com/en/blog/category/customer-stories. 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 FaceUp'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 FaceUp, 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 FaceUp by email, built from the raw record of the edition. It shows:
AI models recommend FaceUp first in Whistleblowing and investigations 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.