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

Nakisa

25Judge labels
2First choices
2Negative labels
9 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
4% in Org charts for enterprise buyers
Rank 19 of 81 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 5 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In org charts · 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 Nakisa 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
Org charts and org designWorkforce planning and analytics0%19 of 810%5under 10 labels · led by ChartHop at 27%

Movement

This is the first edition on this tier, so no move can be computed for Nakisa 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 Nakisa across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick01001
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX02002
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
Direct5 labels2
Paraphrase5 labelsNone
Comparative6 labels3not counted in share
Budget-constrained0 labelsNone
Scale-constrained5 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 2 of the 5 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 ERP Native (SAP/Workday) Specialist: Nakisa or Ingentis... Cons: Expensive, high implementation costs” GLM 4.7 FlashX · Org charts · scale prompt · alternative
“for traceable org structure diagrams that support governance-style scenario reviews” Llama 4 Maverick · Org charts · paraphrase prompt · alternative
“Strong for HR or transformation teams needing traceable org structure diagrams” GLM 4.7 FlashX · Org charts · paraphrase prompt · alternative
“Nakisa - Enterprise-grade solution for larger mid-market companies” MiniMax M2.5 · Org charts · 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 Nakisa, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Nakisa was named but was not.
ProductSame answerTook the first choice insteadHead to head
ChartHop17 of 255Not in the top three
OrgChart16 of 257Not in the top three
Orgvue15 of 250Not in the top three
Lucidchart14 of 250Not in the top three
Microsoft Visio14 of 250Not in the top three
Pingboard13 of 250Not in the top three
Ingentis org.manager12 of 253Not in the top three
Miro10 of 250Not in the top three
OneDirectory9 of 252Not in the top three
Organimi8 of 251Not 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 Nakisa. 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 22 of the 25 answers that named Nakisa and are not a share of its labels.

Domains cited

gartner.com18
theorgchart.com17
gitnux.org16
worldmetrics.org14
onedirectory.com13
orgchartstudio.com11
learn.g2.com9
g2.com8
forbes.com7
nakisa.comYour site7

113 of the 120 domain citations in answers naming Nakisa 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 Nakisa'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 Nakisa, 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 nakisa.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.