| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Entity management | Equity and corporate | 8% | 3 of 81 | 46% | 56 | criticized challenger | ▲+4Since September 2026: 5% → 10%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Entity management | 5% | 10% | ▲+4Since September 2026: 5% → 10%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 6 → 3 of 81 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 1 | 2 |
| GPT-5.4 mini | 2 | 1 | 0 | 1 | 4 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 4 | 5 |
| Perplexity Sonar | 1 | 1 | 0 | 1 | 3 |
| Grok 4.1 Fast | 1 | 0 | 2 | 3 | 6 |
| Mistral Small | 1 | 1 | 1 | 0 | 3 |
| DeepSeek V4 Flash | 1 | 1 | 0 | 4 | 6 |
| Llama 4 Maverick | 0 | 0 | 2 | 1 | 3 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 1 | 3 |
| Kimi K2 | 1 | 0 | 0 | 3 | 4 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 2 | 5 |
| MiniMax M2.5 | 1 | 1 | 1 | 1 | 4 |
| GPT-6 Luna | 0 | 1 | 2 | 1 | 4 |
| Muse Glimmer 30B | 0 | 1 | 0 | 3 | 4 |
Verbatim evidence the judge attached to positive labels.
“Best for: Large enterprises... Market-leading security protocols... 150+ entities or complex global structures: Diligent Entities or CSC provide enterprise-grade capabilities” Kimi K2 · Entity management · comparative prompt · first choice
“If you're a large multinational with 150+ entities across many jurisdictions → Diligent Entities or CSC provide the deepest enterprise governance” DeepSeek V4 Flash · Entity management · comparative prompt · first choice
“Diligent Entities and CSC Entity Management are frequently recommended due to their scalability” Mistral Small · Entity management · paraphrase prompt · first choice
“Choose Diligent if you want entity management plus broader governance/risk workflows.” GPT-5.4 mini · Entity management · comparative 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.
“What to Avoid: Diligent Entities — While powerful, it's typically over-engineered and overpriced for mid-market” Kimi K2 · Entity management · paraphrase prompt · hard negative
“"What to Avoid: Diligent Entities and similar enterprise solutions - typically start at $15,000-$50,000/year"” Muse Glimmer 30B · Entity management · negative prompt · hard negative
“Avoid pricier options like Diligent Entities or CSC (enterprise-level, $100s+ per entity/month)” Grok 4.1 Fast · Entity management · budget prompt · hard negative
“Avoid giants like EntityKeeper or Diligent unless you are prepared to pay $5,000+/year” Qwen 3.7 Flash · Entity management · budget prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 151 of the 156 answers that named Diligent Entities and are not a share of its labels.
504 of the 561 domain citations in answers naming Diligent Entities came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 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.
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 Diligent Entities's own pages state, read September 28, 2026: diligent.com/products/entities, developer.diligent.com/api/entities, diligent.com/products/de/entities, diligent.com/products/fr/entities, diligent.com/de/products/entities-de. 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 Diligent Entities'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 Diligent Entities, 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 Diligent Entities by email, built from the raw record of the edition. It shows:
Diligent Entities is among the products AI models recommend first in Entity management 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.