| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Ecommerce fraud prevention | Receivables and billing | 16% | 2 of 70 | 0% | 16 | accepted challenger | |
| AML and transaction monitoring | Tax and compliance | 0% | 45 of 108 | 0% | 1 | under 10 labels · led by ComplyAdvantage at 33% | |
| Supplier management | Spend and procurement | 0% | 52 of 111 | 0% | 1 | under 10 labels · led by Precoro at 14% | newNew since September 2026: not ranked then, 0% now. |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 1 | 0 | 0 | 0 | 1 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 1 | 1 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 1 | 1 | 0 | 0 | 2 |
| MiniMax M2.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 2 | 0 | 0 | 3 |
Verbatim evidence the judge attached to positive labels.
“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 · Ecommerce fraud · 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 · Ecommerce fraud · 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 · Ecommerce fraud · paraphrase prompt · first choice
“For most mid-sized B2B companies, Eftsure or Trustpair would be ideal” Claude Haiku 4.5 · Ecommerce fraud · paraphrase prompt · first choice
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.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 32 of the 32 answers that named Eftsure and are not a share of its labels.
127 of the 154 domain citations in answers naming Eftsure came from somebody else's page.
Pages are listed as the models cited them.
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.
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,253 | 5 | 2026-10-02 | Accounts payable automat, Supplier management | |
| Glossary or explainer | 517 | undated | Account reconciliation | ||
| Case study | 65 | undated | |||
| Podcast or video | 62 | undated | Supplier management | ||
| Report or ebook | 47 | undated | Procure-to-pay | ||
| Comparison | 31 | undated | |||
| Conference or event | 4 | undated | |||
| News or press | 4 | undated | |||
| Webinar or virtual event | 3 | undated |
Every page eftsure.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. 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.
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.
What Eftsure's own pages state, read October 5, 2026: eftsure.com, eftsure.com/pricing, trust.eftsure.com, eftsure.com/solutions/cfo, eftsure.com/partners. A claimed page can correct any of them.
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 Eftsure'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 Eftsure, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Eftsure by email, built from the raw record of the edition. It shows:
Eftsure is among the products AI models recommend first in Ecommerce fraud prevention this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.