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

Koalendar

38Judge labels
11First choices
2Negative labels
11 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
11% in Interview scheduling for mid-market buyers
Rank 4 of 72 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 13 labels there were negative.
By buyer segmentStrongest at mid-market.
In interview scheduling · 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 Koalendar 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
Interview schedulingTalent acquisition11%4 of 720%13accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Koalendar 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 Koalendar across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502002
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar10001
Grok 4.1 Fast10001
Mistral Small01001
DeepSeek V4 Flash01001
Llama 4 Maverick10102
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX20002
MiniMax M2.510001

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 label1
Comparative11 labels2not counted in share
Budget-constrained16 labels10
Scale-constrained4 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative38 labels in all, every segment counted; 11 of the 13 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.

“The best interview scheduling software for a company with a limited budget is Koalendar, which offers a genuinely free-forever plan and is simple to use.” Llama 4 Maverick · Interview scheduling · budget prompt · first choice
“the best interview scheduling software is usually Calendly or Koalendar if you want a dedicated scheduler” Perplexity Sonar · Interview scheduling · budget prompt · first choice
“I would recommend starting with Koalendar or Calendly since they offer the most robust free plans” MiniMax M2.5 · Interview scheduling · budget prompt · first choice
“Calendly or Koalendar (Koalendar has a generous free plan and strong automation)” GLM 4.7 FlashX · Interview scheduling · paraphrase 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 Koalendar, over the 38 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Koalendar was named but was not.
ProductSame answerTook the first choice insteadHead to head
Calendly36 of 3815Not in the top three
YouCanBookMe29 of 381Not in the top three
GoodTime19 of 381Not in the top three
Setmore11 of 380Not in the top three
Lever10 of 383Not in the top three
Google Calendar9 of 380Not in the top three
ModernLoop9 of 380Not in the top three
Picktime7 of 380Not in the top three
Microsoft Bookings6 of 380Not in the top three
Breezy HR5 of 381Not 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 Koalendar. 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 34 of the 38 answers that named Koalendar and are not a share of its labels.

Domains cited

lever.co30
koalendar.comYour site25
youcanbook.me23
hiretruffle.com21
selectsoftwarereviews.com20
candidate.fyi15
fluentbooking.com15
cal.com13
peoplemanagingpeople.com11
recruiterflow.com11

159 of the 184 domain citations in answers naming Koalendar 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 Koalendar'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 Koalendar, 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 koalendar.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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