Two of fourteen models named BigTime PSA first on the direct prompt; one named Certinia Professional Services Cloud. BigTime PSA was named by fourteen of the fourteen models and Certinia Professional Services Cloud by twelve and BigTime PSA carries 50 labels and Certinia Professional Services Cloud 34, 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 professional services automation page.
Across every category in the November 2026 Edition, BigTime PSA and Certinia Professional Services Cloud were named in the same answer fifty-four times, of the 135 answers naming BigTime PSA and the 99 naming Certinia Professional Services Cloud. In those answers Certinia Professional Services Cloud took the first choice eight times and BigTime PSA nine.
| Model | DirectBP | ParaphraseBP | ComparativeBP | Budget-constrainedBP | Scale-constrainedBP | NegativeBP |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | BP | BP | ||||
| GPT-5.4 mini | BP | BP | BP | |||
| Gemini 3.5 Flash | BP | BP | BP | BP | ||
| Perplexity Sonar | BP | BP | BP | BP | ||
| Grok 4.20 | BP | BP | BP | BP | BP | |
| Mistral Small | BP | BP | ||||
| DeepSeek V4 Flash | BP | BP | BP | |||
| Llama 4 Maverick | BP | BP | ||||
| Qwen 3.7 Flash | BP | |||||
| Kimi K2 | BP | BP | ||||
| GLM 4.7 FlashX | BP | BP | BP | |||
| MiniMax M2.5 | BP | BP | BP | |||
| GPT-6 Luna | BP | BP | BP | BP | ||
| Muse Glimmer 30B | BP | BP | BP |
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. Six of seven in this category shown.
“Options if your services are closer to creative/marketing or agency workflows, though evaluate scale carefully.” Gemini 3.5 Flash · scale prompt · soft negative
“A popular PSA platform, but may have its own set of limitations and potential drawbacks.” Llama 4 Maverick · negative prompt · soft negative
“those tend to sit higher in price than the lightweight tools above” Muse Glimmer 30B · budget prompt · soft negative
“BigTime for billing/invoicing simplicity or Scoro/Productive for broader operational planning at $13-50/user are the mid-market sweet spot” Muse Glimmer 30B · paraphrase prompt · first choice
“BigTime stands out as the best professional services automation (PSA) platform for most mid-market B2B companies” Grok 4.20 · direct prompt · first choice
“I'd recommend BigTime as your primary choice for a mid-sized B2B company focused on project billing and utilization” DeepSeek V4 Flash · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Salesforce dependency: Requires Salesforce expertise; updates frequently break custom configurations” Kimi K2 · negative prompt · hard negative
“Avoid enterprise suites | Kantata, Certinia, and Accelo target larger budgets” Kimi K2 · budget prompt · hard negative
“Avoid enterprise-only platforms like Kantata, Certinia, or SAP” GPT-5.4 mini · budget prompt · hard negative
“Certinia is the leading PSA platform built natively on Salesforce, the natural choice for professional services businesses that run Salesforce.” Muse Glimmer 30B · comparative prompt · first choice
“Kantata and Certinia are top choices due to their scalability, integration capabilities, and strong user satisfaction” Mistral Small · direct prompt · first choice
“Top choice if your CRM/Salesforce environment is the center of your universe.” Gemini 3.5 Flash · scale 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.