Every category where a model named Sardine 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Ecommerce fraud prevention	Receivables and billing	2%	15 of 70	0%	1	under 10 labels · led by SEON at 16%
AML and transaction monitoring	Tax and compliance	0%	25 of 108	15%	13	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Sardine 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 Sardine across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	1	0	1
GPT-5.4 mini	0	1	0	0	1
Gemini 3.5 Flash	0	0	0	1	1
Perplexity Sonar	0	0	0	0	0
Grok 4.1 Fast	0	0	0	0	0
Mistral Small	0	1	0	1	2
DeepSeek V4 Flash	0	0	2	0	2
Llama 4 Maverick	0	0	1	0	1
Qwen 3.7 Flash	0	0	0	0	0
Kimi K2	0	1	1	0	2
GLM 4.7 FlashX	0	0	1	0	1
MiniMax M2.5	0	0	0	0	0
GPT-6 Luna	1	1	0	0	2
Muse Glimmer 30B	0	0	1	0	1

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

Direct4 labelsNone

Paraphrase2 labels1

Comparative13 labels1not counted in share

Budget-constrained1 labelNone

Scale-constrained6 labelsNone

Negative8 labelsNone

First choiceAlternativeMentionNegative34 labels in all, every segment counted; 1 of the 2 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.

“My default pick is Sardine if your B2B business takes a mix of cards and bank payments” GPT-6 Luna · Ecommerce fraud · paraphrase prompt · first choice

“Need modern real-time monitoring for digital products: Sardine, Feedzai” GPT-5.4 mini · AML monitoring · comparative prompt · alternative

“API-native, built for fintechs and modern payment platforms.” Mistral Small · AML monitoring · comparative prompt · alternative

“consider it if you need AML and fraud monitoring together” GPT-6 Luna · AML monitoring · direct 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.

“excellent for fintechs, neobanks, and web3 companies... However, they are highly sensitive to data quality.” Gemini 3.5 Flash · AML monitoring · negative prompt · soft negative

“their suitability depends on your business model, transaction volume, and regulatory requirements” Mistral Small · AML monitoring · negative prompt · soft negative

Named alongside

The products named in the same answers as Sardine, over the 34 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sardine was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Unit2129 of 344Not among the top eight

ComplyAdvantage27 of 345Not among the top eight

NICE Actimize16 of 343Not among the top eight

Hawk AI16 of 340Not among the top eight

Feedzai15 of 340Not among the top eight

Alessa13 of 340Not among the top eight

Sumsub11 of 341Not among the top eight

Flagright10 of 344Not among the top eight

Hummingbird8 of 340Not among the top eight

SAS7 of 341Not 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 Sardine. 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 33 of the 34 answers that named Sardine and are not a share of its labels.

Domains cited

cside.com16

bureau.id15

fintechspecs.com12

fraud.net12

sphinxhq.com12

complyadvantage.com11

fraudio.com11

devopsschool.com9

ondato.com8

worldmetrics.org8

114 of the 114 domain citations in answers naming Sardine came from somebody else's page.

Pages cited

bureau.id/resources/blog/transaction-monitoring-software15

cside.com/blog/best-transaction-monitoring-software15

sphinxhq.com/blog-posts/best-aml-software12

devopsschool.com/blog/top-10-ai-aml-transaction-monitoring-tools-features-pros-cons-compar9

ondato.com/blog/best-aml-software8

antifraud.com/prevention/aml-transaction-monitoring7

guideflow.com/blog/aml-software7

amlwatcher.com/blog/aml-software-vendors6

Pages are listed as the models cited them.

Search and answers

sardine.ai is not in Google's top ten for any of the category's searches. In the answers, Sardine 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

Searches for its name, Google: 201,000 a month (“sardine”)
AI search demand for its name, est.: 36,853 a month
Organic visits to its site: about 23,557 a month
Searches its site ranks for: 2,937 · 145 in the top three
Sites linking to it: 2,034
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

72 ads · 65 text, 4 image, 3 video · 45 shown in the last 30 days

First shown December 2023, as SardineAI Corp., verified. Ads started 2025-11 to 2026-10: 39 in the year, 33 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 15 of 70 in ecommerce fraud

Segment leader

16%

SEON

First choices: 1 across its categories
Named in: 34 answers
Its own site cited: in 33 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 sardine.ai

1,755

subdomains included

Content

1,558

counted in the table below

Documentation

Product · Integration

0 · 0

Kind	Pages	Last 90 days	Latest	Categories named
Glossary or explainer	614	undated
Podcast or video	555	22	2026-10-01	Ecommerce fraud
Blog	209	11	2026-10-01	Ecommerce fraud
Conference or event	101	2	2026-07-29
Report or ebook	38	1	2026-08-10
Case study	18	0	2026-05-20
Comparison	12	1	2026-10-03
News or press	10	1	2026-09-30
Webinar or virtual event	1	undated

Most recent

2026-10-03First party fraud vs third party fraud comparison
2026-10-01Ai agent swarms blog
2026-10-01Ai enabled fraud podcast or video
2026-09-30How to build a fraud program podcast or video
2026-09-30Sardine ai labs news or press
2026-09-26Fraud strategy podcast or video

Events in person

Last twelve months

June 9, 2026 to June 11, 2026SBC Summit Americas 2026Fort Lauderdale · sponsored
June 8, 2026 to June 9, 2026Retail Bank Transformation Americas 2026Charlotte · spoke

As the event pages on sardine.ai state them, read October 5, 2026.

How it is countedHide how it is counted

Every page sardine.ai 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.

Follow Sardine

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

Sardine is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: Agentic Financial Crime Platform for Fraud Prevention & AML
sardine.ai
For: leading banks, fintechs, and merchants
sardine.ai
Certifications: SOC2
Customers named: PrezzeeLeading US neobankLarge Canadian bankRaisebunqNovo
Not stated on the pages read: Price, starting price, free plan or trial, integrations, hosting

What Sardine's own pages state, read October 5, 2026: sardine.ai, sardine.ai/security, sardine.ai/customers. 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 Sardine'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 Sardine, 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 Sardine by email, built from the raw record of the edition. It shows:

where Sardine 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 Sardine, 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.