One of fourteen models named ADP Workforce Now first on the direct prompt; two named Paylocity. ADP Workforce Now was named by fourteen of the fourteen models and Paylocity by thirteen and ADP Workforce Now carries 42 labels and Paylocity 25, so the shares are not directly comparable.
Named in nineteen categories this edition.
Named in twenty 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 HRIS and HCM platforms page.
Across every category in the October 2026 Edition, ADP Workforce Now and Paylocity were named in the same answer 127 times, of the 616 answers naming ADP Workforce Now and the 282 naming Paylocity. In those answers Paylocity took the first choice eight times and ADP Workforce Now thirty.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Poor customer support is the single most frequent complaint... pricing structure can be opaque with add-on fees” Claude Haiku 4.5 · negative prompt · hard negative
No label in this category carried a quote.
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.