AI Indexes
Finance AI Index
Index › Products › e-bate · October 2026 Edition
1 category · Ranked

e-bate

65Judge labels
20First choices
2Negative labels
14 / 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.
Best standing
26% in Rebate management for small business buyers
Rank 2 of 80 in the mid-market standingaccepted challenger
1 of 14 models made it the first choice on the direct prompt; 0% of its 23 labels there were negative.
What the models named instead of e-bate →
By buyer segmentStrongest at small business.
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 e-bate 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 rateLabelsQuadrantSince September 2026
Rebate managementReceivables and billing16%2 of 800%23accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for e-bate 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 e-bate across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502103
GPT-5.4 mini10001
Gemini 3.5 Flash01001
Perplexity Sonar11002
Grok 4.1 Fast11305
Mistral Small11002
DeepSeek V4 Flash01102
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K211002
GLM 4.7 FlashX11002
MiniMax M2.500000
GPT-6 Luna01001
Muse Glimmer 30B10001

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
Direct9 labels4
Paraphrase5 labels1
Comparative17 labels6not counted in share
Budget-constrained21 labels14
Scale-constrained7 labels1
Negative6 labels1not counted in share
First choiceAlternativeMentionNegative65 labels in all, every segment counted; 20 of the 27 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.

“e‑bate – Uses a custom quote model (not per‑user), which can be more predictable for SMBs. It focuses on rebate automation and audit control” GLM 4.7 FlashX · Rebate management · budget prompt · first choice
“e-bate — best fit for a limited budget focused specifically on rebates.” GPT-5.4 mini · Rebate management · budget prompt · first choice
“e-bate is the most frequently cited affordable rebate-first platform” Muse Glimmer 30B · Rebate management · budget prompt · first choice
“e-bate stands out as one of the top rebate management platforms” Grok 4.1 Fast · Rebate management · budget 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 e-bate, over the 65 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and e-bate was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Vistex38 of 651Not among the top eight
Vendavo24 of 651Not among the top eight
Pricefx24 of 650Not among the top eight
Model N20 of 651Not among the top eight
360insights14 of 650Not among the top eight
IMA36013 of 650Not among the top eight
Channelscaler9 of 651Not 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 e-bate. 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 65 of the 65 answers that named e-bate and are not a share of its labels.

Domains cited

g2.com59
guideflow.com45
theretailexec.com43
sourceforge.net39
level6.com37
zipdo.co33
us.fitgap.com32
worldmetrics.org32
enable.com27
oncentive.io27

374 of the 374 domain citations in answers naming e-bate came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

e-bate.io ranks 2 on Google for the category's searches. In the answers, e-bate takes 16% of first choices and Enable takes 52%.
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In search

Google, US estimates
Position for “rebate management platform”
5
Position for “rebate management platforms”
–
not in the top ten
Searches for its name, Google
20 a month (“e-bate”)
AI search demand for its name, est.
45 a month
Organic visits to its site
about 944 a month
Searches its site ranks for
174 · 1 in the top three
Sites linking to it
252
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
16%
rank 2 of 80 in rebate management
Segment leader
52%
Enable
First choices
20 across its categories
Named in
65 answers
Its own site cited
in 65 of the answers that named it

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.

What it publishes

ShowHide
Addresses on e-bate.io
165
subdomains included
Content
151
counted in the table below
Documentation
0
Product · Integration
0 · 0
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog11312026-07-08Rebate management, Supplier management
Report or ebook2002023-08-08Rebate management
Case study1012026-07-17Rebate management
Glossary or explainer4undated
Comparison2undated
News or press202025-10-14Rebate management
How it is countedHide how it is counted

Every page e-bate.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read October 5, 2026.

Names read as e-bate

What the judge wrote, as written, with how often. The vendor table decides that these count as e-bate; a claim can dispute any of them.
E-Bate 1E-bate 1IMA360/e-bate 1e-Bate 1e‑bate 1

Follow e-bate

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.

The company

e-bate is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
B2B Rebate Management Software For Revenue Growth
For
Supplier, Manufacturer, Distributor, Retailer
Customers named
Norbrook
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting

What e-bate's own pages state, read October 5, 2026: e-bate.io, e-bate.io/product, e-bate.io/case-studies. A claimed page can correct any of 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 e-bate'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 e-bate, 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 e-bate by email, built from the raw record of the edition. It shows:

  • where e-bate 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 e-bate, 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.
The subscriber app

A verification link goes to your work email; an address at e-bate.io is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where e-bate is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHide

e-bate is among the products AI models recommend first in Rebate management this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
Among AI models' top three in Rebate management, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/rebate-management/"><img src="https://finance-ai-index.com/badges/2026-10/e-bate--rebate-management-wide.svg" alt="Among AI models' top three in Rebate management, October 2026 Edition, Finance AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Rebate management standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in Rebate management, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/rebate-management/"><img src="https://finance-ai-index.com/badges/2026-10/e-bate--rebate-management-square.svg" alt="Among AI models' top three in Rebate management, October 2026 Edition, Finance AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Rebate management standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in Rebate management, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/rebate-management/"><img src="https://finance-ai-index.com/badges/2026-10/e-bate--rebate-management-compact.svg" alt="Among AI models' top three in Rebate management, October 2026 Edition, Finance AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Rebate management standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.