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Finance AI Index
Index › Products › Kount · October 2026 Edition
3 categories · Ranked

Kount

137Judge labels
1First choices
42Negative labels
14 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
2% in Ecommerce fraud for enterprise buyers
Rank 19 of 70 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 12% of its 33 labels there were negative.
What the models named instead of Kount →
By buyer segmentRead the same way at every buyer size.
In ecommerce fraud · 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 Kount 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
Ecommerce fraud preventionReceivables and billing0%19 of 7012%33accepted challenger
Chargeback managementReceivables and billing0%17 of 8119%16accepted challenger
B2B credit managementReceivables and billing0%96 of 108100%1under 10 labels · led by Chaser at 16%newNew since September 2026: not ranked then, 0% now.

Movement

This is the first edition on this tier, so no move can be computed for Kount 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 Kount 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 4.501225
GPT-5.4 mini01001
Gemini 3.5 Flash02114
Perplexity Sonar03104
Grok 4.1 Fast03205
Mistral Small01113
DeepSeek V4 Flash02316
Llama 4 Maverick00303
Qwen 3.7 Flash04228
Kimi K202013
GLM 4.7 FlashX01001
MiniMax M2.502103
GPT-6 Luna01102
Muse Glimmer 30B01102

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
Direct17 labels1
Paraphrase8 labelsNone
Comparative46 labelsNone
Budget-constrained17 labelsNone
Scale-constrained16 labelsNone
Negative33 labelsNone
First choiceAlternativeMentionNegative137 labels in all, every segment counted; 1 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.

“Choose Kount or Sift if you need a broader fraud stack and are comfortable with a more enterprise-leaning platform” Perplexity Sonar · Ecommerce fraud · direct prompt · alternative
“Kount grades every transaction in milliseconds, then auto-assembles processor-ready dispute packets.” Muse Glimmer 30B · Chargeback management · comparative prompt · alternative
“Kount's small-business bundle are cost-effective because they include a charge-back guarantee” MiniMax M2.5 · Ecommerce fraud · budget prompt · alternative
“Strongest when the underlying problem is fraud detection at checkout, not dispute management.” DeepSeek V4 Flash · Chargeback 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.

“Multiple user reviews highlight significant issues: High false positive rates – Legitimate transactions frequently flagged as fraudulent” Kimi K2 · Ecommerce fraud · negative prompt · hard negative
“custom enterprise pricing, usually requiring a sales call and large commitments” DeepSeek V4 Flash · Chargeback management · budget prompt · hard negative
“Tools like Kount or Signifyd are excellent industry standards but often require monthly commitments of $1,000–$1,500+” Qwen 3.7 Flash · Chargeback management · negative prompt · soft negative
“A rules engine that nobody tunes drifts toward blocking good orders, which costs more than the fraud it catches” Claude Haiku 4.5 · Chargeback management · negative prompt · soft negative

Named alongside

The products named in the same answers as Kount, over the 137 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Kount was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Signifyd103 of 13721Not among the top eight
Sift88 of 1377Not among the top eight
Riskified72 of 1378Not among the top eight
Forter69 of 1374Not among the top eight
SEON49 of 1376Not among the top eight
Stripe Radar43 of 1379Not among the top eight
Chargeflow42 of 13710Not among the top eight
Chargebacks91139 of 13710Not among the top eight
ClearSale27 of 1372Not among the top eight
NoFraud23 of 1378Not 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 Kount. 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 128 of the 137 answers that named Kount and are not a share of its labels.

Domains cited

g2.com71
fraud.net62
guideflow.com54
cside.com49
chargeflow.io43
seon.io41
clickpost.ai40
learn.g2.com39
stripe.com36
chargeback.io35

470 of the 470 domain citations in answers naming Kount came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

kount.com is not in Google's top ten for any of the category's searches. In the answers, Kount takes 0% of first choices and SEON takes 16%.
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In search

Google, US estimates
Position for “ecommerce fraud prevention platform”
–
not in the top ten
Position for “ecommerce fraud prevention platforms”
–
not in the top ten
Searches for its name, Google
1,000 a month (“kount”)
AI search demand for its name, est.
60 a month
Organic visits to its site
about 3,674 a month
Searches its site ranks for
418 · 21 in the top three
Sites linking to it
3,255
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
34 ads · 34 text · 0 shown in the last 30 days

First shown October 2021, as Equifax Inc., verified.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 19 of 70 in ecommerce fraud
Segment leader
16%
SEON
First choices
1 across its categories
Named in
137 answers
Its own site cited
in 128 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

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Addresses on kount.com
2,604
subdomains included
Content
1,868
counted in the table below
Documentation
166
Product · Integration
136 · 56
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog66012026-07-09Chargeback management, Ecommerce fraud
Glossary or explainer51402025-10-14
News or press44612026-10-02
Comparison6202026-05-19
Report or ebook5602025-07-16Ecommerce fraud
Webinar or virtual event4812026-07-31Chargeback management, Ecommerce fraud
Case study44undated
Conference or event3002026-01-05
Template or tool6undated
Podcast or video2undated
How it is countedHide how it is counted

Every page kount.com 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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.

Names read as Kount

What the judge wrote, as written, with how often. The vendor table decides that these count as Kount; a claim can dispute any of them.
Kount (Equifax) 5Kount (An Equifax Company) 1Kount (an Equifax Company) 1Kount (by Equifax) 1Kount (by FIS) 1Kount (now Equifax) 1Kount (owned by Mastercard) 1Kount 360 1Kount 360 (Equifax) 1Kount/Equifax 1Verifone / Kount (by LifeSecure) 1

Follow Kount

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

Kount is its own company.
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In its own words

Stated by the vendor, not checked
Customers named
PromaxHancock Whitney
Not stated on the pages read
Positioning, who it is for, price, starting price, free plan or trial, integrations, certifications, hosting

What Kount's own pages state, read October 5, 2026: kount.com, kount.com/en-gb/pricing, kount.com/legal/compliance, kount.com/resources/customers, kount.com/partners/marketplace. 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 Kount'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 Kount, 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 Kount by email, built from the raw record of the edition. It shows:

  • where Kount 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 Kount, 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.

A verification link goes to your work email; an address at kount.com 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.