HR AI Index
Index Vendors › Speakap · September 2026 Edition
1 category · Ranked

Speakap

17Judge labels
0First choices
1Negative labels
10 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
0% in Frontline employee apps for mid-market buyers
Rank 14 of 97 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 10 labels there were negative.
By buyer segmentRead the same way at every buyer size.
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 Speakap 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 experience0%14 of 970%10accepted challenger

Movement

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

By model

How each model treated Speakap across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar01102
Grok 4.1 Fast00101
Mistral Small00101
DeepSeek V4 Flash00202
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.501001

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
Direct4 labelsNone
Paraphrase1 labelNone
Comparative10 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative17 labels in all, every segment counted; 0 of the 0 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.

“Recommended for mid-market frontline industries wanting a white-label app with multilingual support” Perplexity Sonar · Frontline employee apps · direct prompt · alternative
“Speakap is particularly well-suited for mid-market buyers.” Claude Haiku 4.5 · Frontline employee apps · direct prompt · alternative
“Social intranet with employee-driven content | Speakap” GLM 4.7 FlashX · Frontline employee apps · comparative prompt · alternative
“Strengths: Quick deployment, white-label options available” MiniMax M2.5 · 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.

No model argued against it.

Named alongside

The products named in the same answers as Speakap, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Speakap was named but was not.
ProductSame answerTook the first choice insteadHead to head
Connecteam17 of 175Not in the top three
Blink15 of 172Not in the top three
Staffbase15 of 170Not in the top three
WorkJam12 of 174Not in the top three
Beekeeper12 of 173Not in the top three
MangoApps9 of 172Not in the top three
YOOBIC9 of 171Not in the top three
Firstup9 of 170Not in the top three
Flip9 of 170Not in the top three
Microsoft 365 for Frontline Workers6 of 171Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Speakap. 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 17 of the 17 answers that named Speakap and are not a share of its labels.

Domains cited

mangoapps.com14
guideflow.com12
changeengine.com11
staffbase.com10
getzelos.com9
redeapp.com7
joinblink.com6
crewcheck.io5
viewpointanalysis.com5
sociabble.com4

Eighty-three of the eighty-three domain citations in answers naming Speakap came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 Speakap'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 Speakap, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

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 speakap.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.