HR AI Index
Index Vendors › Sift · September 2026 Edition
1 category · Named, not ranked

Sift

19Judge labels
0First choices
3Negative 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.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Sift was named 9 times in Org charts, where ChartHop led with 27%. The labels and the evidence are below, counted exactly.
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 Sift 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%16 of 810%9under 10 labels · led by ChartHop at 27%

Movement

This is the first edition on this tier, so no move can be computed for Sift 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 Sift across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash01102
Perplexity Sonar01001
Grok 4.1 Fast01001
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200101
GLM 4.7 FlashX00101
MiniMax M2.500000

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative10 labelsNone
Budget-constrained2 labelsNone
Scale-constrained3 labelsNone
Negative3 labels1not counted in share
First choiceAlternativeMentionNegative19 labels in all, every segment counted; 0 of the 1 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.

“these handle complexity like matrix reporting, multi-office structures, and frequent changes well” Grok 4.1 Fast · Org charts · scale prompt · alternative
“Pick Sift or GoProfiles if the org chart is part of a people directory” Perplexity Sonar · Org charts · comparative prompt · alternative
“Look at Pingboard (Workleap), GoProfiles, or Sift” Gemini 3.5 Flash · Org charts · scale 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 Sift, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sift was named but was not.
ProductSame answerTook the first choice insteadHead to head
Lucidchart17 of 191Not in the top three
Microsoft Visio15 of 192Not in the top three
ChartHop14 of 193Not in the top three
Pingboard14 of 190Not in the top three
Organimi13 of 191Not in the top three
OrgChart10 of 193Not in the top three
OneDirectory10 of 191Not in the top three
SmartDraw9 of 190Not in the top three
Miro8 of 190Not in the top three
Creately6 of 190Not 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 Sift. 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 13 of the 19 answers that named Sift and are not a share of its labels.

Domains cited

theorgchart.com10
peoplemanagingpeople.com9
gartner.com8
learn.g2.com7
blog.jostle.me6
orgchartstudio.com6
peerdom.com6
functionly.com5
forbes.com4
g2.com4

Sixty-five of the sixty-five domain citations in answers naming Sift came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Sift

What the judge wrote, as written, with how often. The vendor table decides that these count as Sift; a claim can dispute any of them.
Sift / GoProfiles 1
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 Sift'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 Sift, 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 sifthub.io 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.