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Index › Products › Shopify Fraud Analysis · October 2026 Edition
Shopify · 1 category · Named, not ranked

Shopify Fraud Analysis

7Judge labels
3First choices
1Negative labels
5 / 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
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Shopify Fraud Analysis was named 4 times in Ecommerce fraud, where SEON led with 16%. The labels and the evidence are below, counted exactly.
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 Shopify Fraud Analysis 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 billing2%12 of 700%4under 10 labels · led by SEON at 16%

Movement

This is the first edition on this tier, so no move can be computed for Shopify Fraud Analysis 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 Shopify Fraud Analysis 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 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna10001
Muse Glimmer 30B00000

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained6 labels3
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative7 labels in all, every segment counted; 3 of the 3 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.

“If you're on Shopify, use Shopify's built-in tools first” GPT-6 Luna · Ecommerce fraud · budget prompt · first choice
“If you are on Shopify, the basic "Basic" plan includes built-in fraud analysis.” Qwen 3.7 Flash · Ecommerce fraud · budget prompt · alternative
“the built-in fraud analysis provides solid protection at no additional cost” Claude Haiku 4.5 · Ecommerce fraud · budget prompt · alternative
“also enable built-in tools (e.g., Shopify Fraud Analysis—free/basic)” Grok 4.1 Fast · Ecommerce fraud · budget 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 Shopify Fraud Analysis, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Shopify Fraud Analysis was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Stripe Radar6 of 71Not among the top eight
NoFraud5 of 71Not among the top eight
SEON4 of 71Not among the top eight
Fingerprint3 of 70Not among the top eight
PayPal Fraud Protection3 of 70Not among the top eight
Forter2 of 70Not among the top eight
FraudLabs Pro2 of 70Not among the top eight
Kount2 of 70Not among the top eight
Sift2 of 70Not among the top eight
Signifyd2 of 70Not 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 Shopify Fraud Analysis. 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 6 of the 7 answers that named Shopify Fraud Analysis and are not a share of its labels.

Domains cited

g2.com4
shoplazza.com4
whop.com4
clickpost.ai3
guideflow.com3
learn.g2.com3
shopify.comYour site3
stripe.com3
expertinsights.com2
fingerprint.com2

Twenty-eight of the thirty-one domain citations in answers naming Shopify Fraud Analysis came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

shopify.com is not in Google's top ten for any of the category's searches. In the answers, Shopify Fraud Analysis takes 2% 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
Its company's site
shopify.com shared with Shopify's other products; the figures are the site's
Organic visits to its site
about 3,486,997 a month
Searches its site ranks for
307,288 · 17,862 in the top three
Sites linking to it
2,780,345
Paid Google search
24 searches its ads show for, about 337 clicks and $3,351 a month (estimate)
Ads on GoogleDetailLess
110+ ads · 70 text, 38 video, 2 image · 110 shown in the last 30 days

First shown August 2022, as Shopify Inc., verified. Ads started 2025-10 to 2026-09: 49 in the year, 61 before. 10 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
2%
rank 12 of 70 in ecommerce fraud
Segment leader
16%
SEON
First choices
3 across its categories
Named in
7 answers
Its own site cited
in 6 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 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.

Names read as Shopify Fraud Analysis

What the judge wrote, as written, with how often. The vendor table decides that these count as Shopify Fraud Analysis; a claim can dispute any of them.
Shopify 2Shopify (Fraud Analysis) 1

Follow Shopify Fraud Analysis

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

Shopify is the company behind Shopify Fraud Analysis.
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On record

Company records

In its own words

Stated by the vendor, not checked
Positioning
uses a wide range of programs and applications to assess order risk
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting, customers

What Shopify Fraud Analysis's own pages state, read October 6, 2026: community.shopify.com/t/fraudes-en-shopify/14328, community.shopify.com/t/shopify-seller-fraud/328848, community.shopify.com/t/shopify-fraud-analysis/322292, community.shopify.com/t/shopify-committing-fraud/391119, community.shopify.com/t/fraud-filter-shopify-flow/385645. 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 Shopify Fraud Analysis'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 Shopify Fraud Analysis, 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 Shopify Fraud Analysis by email, built from the raw record of the edition. It shows:

  • where Shopify Fraud Analysis 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 Shopify Fraud Analysis, 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 shopify.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.