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HR AI Index
Index › Products › Staffbase · September 2026 Edition
2 categories · Ranked

Staffbase

163Judge labels
22First choices
35Negative labels
12 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, every buyer segment counted.
Best standing
31% in Frontline employee apps for enterprise buyers
Rank 5 of 96 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 11% of its 27 labels there were negative.
What the models named instead of Staffbase →
By buyer segmentAn enterprise product: leader at enterprise, not named at small business.
In frontline employee apps · 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 Staffbase 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 rateLabelsQuadrant
Frontline employee appsOnboarding and employee experience2%5 of 9611%27accepted challenger
Internal communications and intranetOnboarding and employee experience0%17 of 795%21accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Staffbase 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 Staffbase across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini03014
Gemini 3.5 Flash01214
Perplexity Sonar04105
Grok 4.1 Fast12205
Mistral Small10304
DeepSeek V4 Flash03227
Llama 4 Maverick00303
Qwen 3.7 Flash01102
Kimi K203205
GLM 4.7 FlashX04004
MiniMax M2.503104

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
Direct31 labels7
Paraphrase22 labels9
Comparative45 labels1not counted in share
Budget-constrained18 labels4
Scale-constrained19 labels2
Negative28 labels2not counted in share
First choiceAlternativeMentionNegative163 labels in all, every segment counted; 22 of the 25 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.

“consider platforms like Staffbase that offer more scalable solutions” Mistral Small · Frontline employee apps · negative prompt · first choice
“Staffbase for enterprise depth” Grok 4.1 Fast · Frontline employee apps · scale prompt · first choice
“consistently top-rated modern platforms include Simpplr, Unily, Workvivo, LumApps, MangoApps, Staffbase, and Interact” DeepSeek V4 Flash · Internal communications · negative prompt · alternative
“If you need comms plus a full intranet or shift management, Staffbase or Connecteam are the top picks.” GLM 4.7 FlashX · Frontline employee apps · direct 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.

“(Simpplr, Staffbase, Workvivo) have user minimums or $20k+/year price tags — avoid these for small budgets” DeepSeek V4 Flash · Internal communications · budget prompt · hard negative
“giants like Beekeeper or Staffbase often require five-figure annual minimums and custom quotes” Gemini 3.5 Flash · Frontline employee apps · budget prompt · soft negative
“Some see it as more enterprise-oriented and heavier than needed for SMB/mid-market” DeepSeek V4 Flash · Frontline employee apps · direct prompt · soft negative
“Staffbase or Blink, but these are typically not the best budget choices” GPT-5.4 mini · Frontline employee apps · budget prompt · soft negative

Named alongside

The products named in the same answers as Staffbase, over the 163 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Staffbase was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Workvivo84 of 1633Not among the top eight
Simpplr63 of 16312Not among the top eight
LumApps54 of 1631Not among the top eight
Firstup47 of 1630Not among the top eight
Microsoft SharePoint46 of 1638Not among the top eight
Unily46 of 1630Not 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 Staffbase. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 142 of the 163 answers that named Staffbase and are not a share of its labels.

Domains cited

mangoapps.com94
staffbase.comYour site72
joinblink.com62
guideflow.com56
simpplr.com46
workvivo.com44
g2.com38
oak.com37
changeengine.com35
lumapps.com35

447 of the 519 domain citations in answers naming Staffbase came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Follow Staffbase

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.

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 Staffbase'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 Staffbase, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

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

  • where Staffbase 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 Staffbase, 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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at staffbase.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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