SEON vs Eftsure
Six of fourteen models named SEON first on the direct prompt; zero named Eftsure. SEON was named by thirteen of the fourteen models and Eftsure by eleven and SEON carries 34 labels and Eftsure 16, so the shares are not directly comparable.
Named in three categories this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the ecommerce fraud prevention page.
By framing
SEONFirst choices, of fourteen modelsEftsure
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | |||
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | | | |
SEON Eftsure first choice named as an alternative argued againstblank: not namedEach cell is one answer, SEON on the left and Eftsure on the right.The direct prompt
SEON first, Eftsure an alternative
6 of 14 modelsEftsure was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
SEON16%#1 of 11Eftsure16%#2 of 11What the models said about SEON
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“SEON is often featured for flexible fraud signals, but it is not as clearly the cheapest option” Perplexity Sonar · budget prompt · soft negative
“SEON — Mixed Reviews (21% 1-star ratings) ... blackbox nature (opaque ML models)” GLM 4.7 FlashX · negative prompt · soft negative
“Examples of platforms using this model: Sift, Kount, SEON, Forter” Gemini 3.5 Flash · negative prompt · soft negative
“SEON offers modular fraud prevention tools with a free tier... particularly accessible to small and mid-market businesses” Claude Haiku 4.5 · budget prompt · first choice
“I'd recommend starting with ClearSale or SEON as they specifically target mid-market businesses” MiniMax M2.5 · 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 · direct prompt · first choice
What the models said about Eftsure
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best for Preventing B2B Payment Fraud (Vendor/Invoice Fraud) ... Eftsure ... Designed specifically for mid-to-large enterprises managing complex vendor ecosystems.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Eftsure is the most specialized and highly recommended due to its real-time vendor validation, B2B focus, and financial guarantee.” Mistral Small · paraphrase prompt · first choice
“I'd suggest starting with Eftsure or Trustmi since they're specifically built for B2B payment fraud use cases.” MiniMax M2.5 · paraphrase prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.