1 category · RankedNoFraud
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Ecommerce fraud prevention | Receivables and billing | 8% | 5 of 70 | 13% | 23 | accepted challenger |
Movement
By model
How each model treated NoFraud across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 1 | 2 |
| Perplexity Sonar | 1 | 0 | 1 | 0 | 2 |
| Grok 4.1 Fast | 0 | 2 | 0 | 0 | 2 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 1 | 1 | 0 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 0 | 1 | 0 | 2 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 1 | 1 | 2 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“The best ecommerce fraud prevention platform for a company with a limited budget is NoFraud for Shopify merchants” Llama 4 Maverick · Ecommerce fraud · budget prompt · first choice
“For the most budget-friendly options, start with NoFraud (free Lite tier, $250/month)” Mistral Small · Ecommerce fraud · budget prompt · first choice
“NoFraud is widely considered the best value platform for growth-stage businesses.” Qwen 3.7 Flash · Ecommerce fraud · budget prompt · first choice
“the strongest overall pick is usually NoFraud” Perplexity Sonar · Ecommerce fraud · budget 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.
“NoFraud is the one I'd most strongly caution against for smaller merchants, based on the 1.8/5 Trustpilot score” DeepSeek V4 Flash · Ecommerce fraud · negative prompt · hard negative
“Its paid starter plans begin at $250/month, so they may not suit a very limited budget.” GPT-6 Luna · Ecommerce fraud · budget prompt · soft negative
“Examples of platforms using this model: Riskified, Signifyd, ClearSale, NoFraud” Gemini 3.5 Flash · Ecommerce fraud · negative prompt · soft negative
Named alongside
The products named in the same answers as NoFraud, over the 79 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and NoFraud was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 78 of the 79 answers that named NoFraud and are not a share of its labels.
Domains cited
402 of the 402 domain citations in answers naming NoFraud came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
nofraud.com is not in Google's top ten for any of the category's searches. In the answers, NoFraud takes 8% of first choices and SEON takes 16%.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 1,300 a month (“nofraud”)
- AI search demand for its name, est.
- 32 a month
- Organic visits to its site
- about 227 a month
- Searches its site ranks for
- 12 · 3 in the top three
- Sites linking to it
- 1,116
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This edition- First choices
- 24 across its categories
- Named in
- 79 answers
- Its own site cited
- in 78 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
What it publishes
ShowHide| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Glossary or explainer | 94 | undated | Chargeback management | ||
| Blog | 74 | undated | Chargeback management, Ecommerce fraud | ||
| Case study | 20 | undated | |||
| Podcast or video | 9 | undated | |||
| Comparison | 3 | undated |
How it is countedHide how it is counted
Every page nofraud.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. Read October 5, 2026.
Follow NoFraud
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.
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 NoFraud'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 NoFraud, 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 NoFraud by email, built from the raw record of the edition. It shows:
- where NoFraud 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 NoFraud, 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.