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Finance AI Index
Index › Products › ClearSale · October 2026 Edition
2 categories · Ranked

ClearSale

53Judge labels
4First choices
16Negative labels
14 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
5% in Ecommerce fraud for small business buyers
Rank 10 of 70 in the mid-market standingaccepted challenger
1 of 14 models made it the first choice on the direct prompt; 12% of its 16 labels there were negative.
What the models named instead of ClearSale →
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 ClearSale 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%10 of 7012%16accepted challenger
Chargeback managementReceivables and billing0%80 of 81100%3under 10 labels · led by Chargeflow at 24%

Movement

This is the first edition on this tier, so no move can be computed for ClearSale 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 ClearSale 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 4.500112
GPT-5.4 mini00011
Gemini 3.5 Flash01023
Perplexity Sonar00101
Grok 4.1 Fast01203
Mistral Small00000
DeepSeek V4 Flash01214
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX02002
MiniMax M2.511002
GPT-6 Luna00000
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
Direct5 labels2
Paraphrase1 labelNone
Comparative20 labelsNone
Budget-constrained9 labelsNone
Scale-constrained4 labels2
Negative14 labelsNone
First choiceAlternativeMentionNegative53 labels in all, every segment counted; 4 of the 4 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.

“I'd recommend starting with ClearSale or SEON as they specifically target mid-market businesses” MiniMax M2.5 · Ecommerce fraud · direct prompt · first choice
“Choose ClearSale if: You sell high-value luxury goods or ship to high-risk international markets” Gemini 3.5 Flash · Ecommerce fraud · comparative prompt · alternative
“Human-in-the-loop review for complex decisions, paired with automation for speed” DeepSeek V4 Flash · Ecommerce fraud · comparative prompt · alternative
“Best for: Businesses with significant international sales” MiniMax M2.5 · Ecommerce fraud · 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.

“it can introduce a slight delay in order processing. Some merchants have also noted inconsistencies in support quality.” Claude Haiku 4.5 · Ecommerce fraud · negative prompt · soft negative
“its pricing is more enterprise-style and can be pricier depending on volume, so it's less obviously budget-first” GPT-5.4 mini · Chargeback management · budget prompt · soft negative
“Tools That Promise "Guaranteed" Results (e.g., Signifyd, ClearSale, Ringly.io) ... Verdict: Cautious.” DeepSeek V4 Flash · Chargeback management · negative prompt · soft negative
“Fraud-prevention tools like Signifyd, Riskified, or ClearSale offer "chargeback guarantees"” Gemini 3.5 Flash · Chargeback management · negative prompt · soft negative

Named alongside

The products named in the same answers as ClearSale, over the 53 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and ClearSale was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Riskified37 of 536Not among the top eight
Forter31 of 532Not among the top eight
Kount27 of 530Not among the top eight
Fingerprint11 of 530Not among the top eight
Chargeflow10 of 532Not 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 ClearSale. 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 53 of the 53 answers that named ClearSale and are not a share of its labels.

Search and answers

Where ClearSale 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
480 a month (“clearsale”)
AI search demand for its name, est.
4 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
2%
rank 10 of 70 in ecommerce fraud
Segment leader
16%
SEON
First choices
4 across its categories
Named in
53 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 ClearSale

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.

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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 ClearSale'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 ClearSale, 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 ClearSale by email, built from the raw record of the edition. It shows:

  • where ClearSale 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 ClearSale, 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 the vendor's own domain 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.