EntityKeeper vs Discern
Zero of fourteen models named EntityKeeper first on the direct prompt; zero named Discern. EntityKeeper was named by fourteen of the fourteen models and Discern by seven and EntityKeeper carries 40 labels and Discern 11, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 entity management page.
By framing
EntityKeeperFirst choices, of fourteen modelsDiscern
Across every category in the October 2026 Edition, EntityKeeper and Discern were named in the same answer twenty-two times, of the 103 answers naming EntityKeeper and the 28 naming Discern. In those answers Discern took the first choice one time and EntityKeeper four.
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 | | | |
EntityKeeper Discern first choice named as an alternative argued againstblank: not namedEach cell is one answer, EntityKeeper on the left and Discern on the right.The direct prompt
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
EntityKeeper23%#1 of 8Discern4%#– of 8EntityKeeper6%#4 of 11Discern2%#8 of 11EntityKeeper0%#9 of 9Discern0%#– of 9What the models said about EntityKeeper
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“I'd skip EntityKeeper on a tight budget: its published annual plans start at $5,000” GPT-6 Luna · budget prompt · hard negative
“Avoid giants like EntityKeeper or Diligent unless you are prepared to pay $5,000+/year” Qwen 3.7 Flash · budget prompt · hard negative
“"Legacy/Standalone Entity Databases (e.g., Basic Spreadsheets or Early CRMs like Generic \"EntityKeeper\" for Scale-Up Beyond Small Portfolios)"” Muse Glimmer 30B · negative prompt · soft negative
“For the most budget-conscious option, EntityKeeper's free plan is a strong starting point.” Mistral Small · budget prompt · first choice
“🥇 Top Pick: EntityKeeper (for Entity Management)” DeepSeek V4 Flash · paraphrase prompt · first choice
“EntityKeeper is the tool I'd recommend first” MiniMax M2.5 · paraphrase prompt · first choice
What the models said about Discern
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“For most companies with a limited budget, Discern offers the most cost-effective entry point” DeepSeek V4 Flash · budget prompt · first choice
“Diligent Entities and Discern are also excellent choices, especially for companies with more complex compliance needs” Mistral Small · direct prompt · alternative
“Discern and CoverPin offer excellent value for money with transparent pricing and robust functionality.” Mistral Small · budget prompt · alternative
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.