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HR AI Index
Index › Products › FaceUp · October 2026 Edition
1 category · Ranked

FaceUp

95Judge labels
29First choices
5Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
25% in Whistleblowing for mid-market buyers
Rank 1 of 107 in the mid-market standingaccepted challenger
7 of 14 models made it the first choice on the direct prompt; 0% of its 33 labels there were negative.
What the models named instead of FaceUp →
By buyer segmentStrongest at mid-market.
In whistleblowing · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named FaceUp for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Whistleblowing and investigationsCore HR and payroll25%1 of 1070%33accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for FaceUp yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated FaceUp across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.511103
GPT-5.4 mini00000
Gemini 3.5 Flash13004
Perplexity Sonar12003
Grok 4.1 Fast22004
Mistral Small20002
DeepSeek V4 Flash30104
Llama 4 Maverick00101
Qwen 3.7 Flash01102
Kimi K213004
GLM 4.7 FlashX00101
MiniMax M2.510001
GPT-6 Luna00000
Muse Glimmer 30B13004

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct24 labels14
Paraphrase13 labels5
Comparative22 labels9not counted in share
Budget-constrained21 labels8
Scale-constrained8 labels2
Negative7 labels2not counted in share
First choiceAlternativeMentionNegative95 labels in all, every segment counted; 29 of the 40 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

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

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.

No model argued against it.

Named alongside

The products named in the same answers as FaceUp, over the 95 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and FaceUp was named but was not.
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ProductSame answerTook the first choice insteadHead to head
SpeakUp21 of 952Not among the top eight
NAVEX EthicsPoint17 of 955Not among the top eight
SafeHotline16 of 952Not among the top eight
EQS Integrity Line13 of 950Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named FaceUp. A fact about retrieval, not a lever on the model.

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.

Domains cited

faceup.comYour site80
navex.com59
ordio.com57
firsthr.app48
whistlelink.com47
g2.com43
guideflow.com40
gartner.com37
speakup.com33
elker.com31

395 of the 475 domain citations in answers naming FaceUp came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where FaceUp stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Position for “whistleblowing and investigation platform”
–
not in the top ten
Position for “whistleblowing and investigation platforms”
4
Searches for its name, Google
1,600 a month (“faceup”)
AI search demand for its name, est.
24 a month
Organic visits to its site
about 40,841 a month
Searches its site ranks for
3,033 · 91 in the top three
Sites linking to it
2,640
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
93 ads · 77 text, 16 image · 38 shown in the last 30 days

First shown January 2025, as FaceUp Technology s.r.o., verified. Ads started 2025-11 to 2026-10: 65 in the year, 28 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
25%
rank 1 of 107 in whistleblowing
First choices
29
across its categories
Named in
95 answers
Its own site cited
in 95 of the answers that named it

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.

What it publishes

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Addresses on faceup.com
876
subdomains included
Content
390
counted in the table below
Documentation
240
Product · Integration
22 · 7
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog31102025-04-29Employee engagement surv, 360 feedback
Comparison3102025-11-05
Template or tool1502024-07-15
Case study14undated
Glossary or explainer812026-07-08
Report or ebook702024-09-23
Webinar or virtual event202024-09-25
Conference or event2undated
How it is countedHide how it is counted

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.

Follow FaceUp

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

FaceUp is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Ethics & compliance platform for lean teams
For
lean teams
Price stated
A platform fee, plus the capabilities you choose, priced on your headcount. faceup.com/en/pricing
Integrations claimed
8000 faceup.com
Certifications
ISO 27001 certifiedGDPR compliantSOC 2 serversLocal Data StorageEnd-to-End EncryptionPenetration TestedSOC 2-certified AWS infrastructureISO 27001:2022
Hosting
USEUAUAE
Customers named
ZendeskBairesDevATSGWorld ReliefSportisimoCTP InvestDeloitteADvTECH Group
Not stated on the pages read
Starting price, free plan or trial

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.

Is this your product?

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 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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for FaceUp by email, built from the raw record of the edition. It shows:

  • where FaceUp 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 FaceUp, 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.
The subscriber app

A verification link goes to your work email; an address at faceup.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where FaceUp is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHide

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.

Wide · 320 × 104 Website, beside other badges
AI models' first choice in Whistleblowing and investigations, October 2026 Edition, HR AI Recommendation Index
Show the code
<a href="https://hr-ai-index.com/core/whistleblowing-and-investigations/"><img src="https://hr-ai-index.com/badges/2026-10/faceup--whistleblowing-and-investigations-wide.svg" alt="AI models' first choice in Whistleblowing and investigations, October 2026 Edition, HR AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Whistleblowing and investigations standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
AI models' first choice in Whistleblowing and investigations, October 2026 Edition, HR AI Recommendation Index
Show the code
<a href="https://hr-ai-index.com/core/whistleblowing-and-investigations/"><img src="https://hr-ai-index.com/badges/2026-10/faceup--whistleblowing-and-investigations-square.svg" alt="AI models' first choice in Whistleblowing and investigations, October 2026 Edition, HR AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Whistleblowing and investigations standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
AI models' first choice in Whistleblowing and investigations, October 2026 Edition, HR AI Recommendation Index
Show the code
<a href="https://hr-ai-index.com/core/whistleblowing-and-investigations/"><img src="https://hr-ai-index.com/badges/2026-10/faceup--whistleblowing-and-investigations-compact.svg" alt="AI models' first choice in Whistleblowing and investigations, October 2026 Edition, HR AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Whistleblowing and investigations standing, where the claim can be checked.

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.