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

SEON

121Judge labels
14First choices
10Negative 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
16% in Ecommerce fraud for mid-market buyers
Rank 1 of 70 in the mid-market standingaccepted challenger
6 of 14 models made it the first choice on the direct prompt; 12% of its 34 labels there were negative.
What the models named instead of SEON →
By buyer segmentStrongest at mid-market.
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 SEON 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 billing16%1 of 7012%34accepted challenger
AML and transaction monitoringTax and compliance0%31 of 1080%4under 10 labels · led by ComplyAdvantage at 33%
Chargeback managementReceivables and billing0%29 of 810%2under 10 labels · led by Chargeflow at 24%

Movement

This is the first edition on this tier, so no move can be computed for SEON 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 SEON 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 4.510102
GPT-5.4 mini10001
Gemini 3.5 Flash22116
Perplexity Sonar10214
Grok 4.1 Fast01113
Mistral Small02103
DeepSeek V4 Flash11204
Llama 4 Maverick02103
Qwen 3.7 Flash01001
Kimi K212104
GLM 4.7 FlashX02013
MiniMax M2.510001
GPT-6 Luna10001
Muse Glimmer 30B04004

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
Direct23 labels8
Paraphrase8 labels1
Comparative31 labels2not counted in share
Budget-constrained26 labels4
Scale-constrained18 labels1
Negative15 labels1not counted in share
First choiceAlternativeMentionNegative121 labels in all, every segment counted; 14 of the 17 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.

“SEON offers modular fraud prevention tools with a free tier... particularly accessible to small and mid-market businesses” Claude Haiku 4.5 · Ecommerce fraud · budget prompt · first choice
“I'd recommend starting with ClearSale or SEON as they specifically target mid-market businesses” MiniMax M2.5 · Ecommerce fraud · direct prompt · first choice
“SEON is highly recommended for mid-market B2B companies that have an in-house operations or risk team” Gemini 3.5 Flash · Ecommerce fraud · direct prompt · first choice
“the strongest default choice is SEON if you want an API-first, fast-deploying platform” Perplexity Sonar · Ecommerce fraud · direct 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.

“SEON is often featured for flexible fraud signals, but it is not as clearly the cheapest option” Perplexity Sonar · Ecommerce fraud · budget prompt · soft negative
“SEON — Mixed Reviews (21% 1-star ratings) ... blackbox nature (opaque ML models)” GLM 4.7 FlashX · Ecommerce fraud · negative prompt · soft negative
“Examples of platforms using this model: Sift, Kount, SEON, Forter” Gemini 3.5 Flash · Ecommerce fraud · negative prompt · soft negative
“custom quotes possible but higher entry” Grok 4.1 Fast · Ecommerce fraud · budget prompt · soft negative

Named alongside

The products named in the same answers as SEON, over the 121 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SEON was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Sift70 of 1217Compare →
Riskified59 of 1217Not among the top eight
Kount49 of 1210Not among the top eight
Forter47 of 1212Not among the top eight
Fingerprint21 of 1210Not among the top eight
Chargeflow13 of 1210Not 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 SEON. 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 116 of the 121 answers that named SEON and are not a share of its labels.

Domains cited

g2.com73
fraud.net60
learn.g2.com58
clickpost.ai53
guideflow.com52
cside.com50
seon.ioYour site47
fingerprint.com46
whop.com38
shuftipro.com36

466 of the 513 domain citations in answers naming SEON came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where SEON stands in Google search beside where it stands in the models' answers.
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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”
2
Searches for its name, Google
2,900 a month (“seon”)
AI search demand for its name, est.
1,709 a month
Organic visits to its site
about 24,522 a month
Searches its site ranks for
5,310 · 305 in the top three
Sites linking to it
7,315
Paid Google search
5 searches its ads show for, about 19 clicks and $0 a month (estimate)
Ads on GoogleDetailLess
92 ads · 87 text, 4 image, 1 video · 71 shown in the last 30 days

First shown January 2025, as SEON Technologies Korlátolt Felelösségü Társaság, verified. Ads started 2025-11 to 2026-10: 47 in the year, 45 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
16%
rank 1 of 70 in ecommerce fraud
First choices
14
across its categories
Named in
121 answers
Its own site cited
in 116 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 seon.io
1,403
subdomains included
Content
850
counted in the table below
Documentation
4
Product · Integration
22 · 2
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog535122026-10-02Chargeback management
News or press122112026-09-29Chargeback management
Case study5422026-09-18
Webinar or virtual event5032026-09-03
Report or ebook3822026-08-17
Comparison3122026-09-24
Conference or event902026-01-30
Glossary or explainer902025-12-01
Template or tool202022-04-11
How it is countedHide how it is counted

Every page seon.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. 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 SEON

What the judge wrote, as written, with how often. The vendor table decides that these count as SEON; a claim can dispute any of them.
Seon 2

Follow SEON

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

SEON is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
The AI Command Center for Fraud Prevention & AML Compliance
For
fraud and AML leaders
Price stated
$699 per month; Custom pricing for your needs seon.io/pricing
Starting price
699 seon.io/pricing
Free plan or trial
Request a free trial seon.io/pricing
Certifications
ISO 2700127017SOC 2 Type IIGDPRCCPADigital Operational Resilience ActPCI DSS - SAQ A-EPETSI TS 119 461
Hosting
Ireland, EU (AWS EU-West-1)Northern Virginia, US (AWS US-East-1)Singapore (AWS ap-southeast-1)UAE, Dubai (AWS ME-Central-1)
Customers named
BiltPayopLottolandCardmarkettbi BankNOTYDRevolutSoftBet
Not stated on the pages read
Integrations

What SEON's own pages state, read October 5, 2026: seon.io, seon.io/pricing, trust.seon.io, seon.io/products/case-management, seon.io/partners. 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 SEON'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 SEON, 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 SEON by email, built from the raw record of the edition. It shows:

  • where SEON 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 SEON, 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 seon.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 SEON is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHide

AI models recommend SEON first in Ecommerce fraud prevention 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
AI models' first choice in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/ecommerce-fraud-prevention/"><img src="https://finance-ai-index.com/badges/2026-10/seon--ecommerce-fraud-prevention-wide.svg" alt="AI models' first choice in Ecommerce fraud prevention, 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 Ecommerce fraud prevention standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
AI models' first choice in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/ecommerce-fraud-prevention/"><img src="https://finance-ai-index.com/badges/2026-10/seon--ecommerce-fraud-prevention-square.svg" alt="AI models' first choice in Ecommerce fraud prevention, 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 Ecommerce fraud prevention standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
AI models' first choice in Ecommerce fraud prevention, October 2026 Edition, Finance AI Recommendation Index
Show the code
<a href="https://finance-ai-index.com/receivables/ecommerce-fraud-prevention/"><img src="https://finance-ai-index.com/badges/2026-10/seon--ecommerce-fraud-prevention-compact.svg" alt="AI models' first choice in Ecommerce fraud prevention, 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 Ecommerce fraud prevention 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.