Index › Products › Zilliant · October 2026 Edition

1 category · Named, not ranked

Zilliant

14Judge labels

0First choices

2Negative labels

10 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Zilliant was named 3 times in Rebate management, where Enable led with 52%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business82 of 90

under the label threshold

Mid-market24 of 80

under the label threshold

Enterprise11 of 79

under the label threshold

In rebate management · 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 Zilliant 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Rebate management	Receivables and billing	0%	24 of 80	0%	3	under 10 labels · led by Enable at 52%

Movement

This is the first edition on this tier, so no move can be computed for Zilliant 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 Zilliant across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	1	0	1
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	1	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	1	0	1

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

Direct3 labelsNone

Paraphrase3 labelsNone

Comparative3 labelsNone

Budget-constrained0 labelsNone

Scale-constrained2 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative14 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.

“a good option if your priority is eligibility logic and finance-grade settlement reporting” Perplexity Sonar · Rebate management · paraphrase prompt · alternative

“B2B pricing and rebate management platform using AI-driven optimization.” Muse Glimmer 30B · Rebate management · comparative 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 Zilliant, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Zilliant was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Enable13 of 148Not among the top eight

Vistex11 of 143Not among the top eight

Vendavo7 of 143Not among the top eight

Pricefx7 of 141Not among the top eight

Model N5 of 140Not among the top eight

incentX4 of 141Not among the top eight

IMA3603 of 140Not among the top eight

Phocas Software3 of 140Not among the top eight

Conga2 of 140Not among the top eight

Oracle Channel Revenue Management2 of 140Not 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 Zilliant. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 13 of the 14 answers that named Zilliant and are not a share of its labels.

Domains cited

g2.com12

us.fitgap.com9

guideflow.com8

sourceforge.net7

wifitalents.com7

worldmetrics.org7

f6s.com6

oncentive.io6

vistaar.com6

zipdo.co6

No domain is on file for Zilliant, so its own site is not marked.

Pages cited

g2.com/categories/rebate-management11

guideflow.com/blog/rebate-management-software7

us.fitgap.com/search/rebate-management-software/b2b7

f6s.com/software/category/rebate-management6

oncentive.io/blog/best-rebate-management-software6

wifitalents.com/best/rebate-management-software6

level6.com/blog/best-rebate-management-tools5

vistaar.com/pricing-software-solutions/smart-rebates5

Pages are listed as the models cited them.

Search and answers

Where Zilliant stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 880 a month (“zilliant”)
AI search demand for its name, est.: 30 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 24 of 80 in rebate management

Segment leader

52%

Enable

First choices: 0 across its categories
Named in: 14 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Zilliant

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

What a new claim receivesHide what a new claim receives

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

where Zilliant 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 Zilliant, 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.