Rocketlane vs Teamwork.com
Two of fourteen models named Rocketlane first on the direct prompt; zero named Teamwork.com. Rocketlane was named by ten of the fourteen models and Teamwork.com by nine and Rocketlane carries 21 labels and Teamwork.com 12, so the shares are not directly comparable.
Named in one category this edition.
Named in two 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 professional services automation page.
By framing
RocketlaneFirst choices, of fourteen modelsTeamwork.com
Across every category in the October 2026 Edition, Rocketlane and Teamwork.com were named in the same answer seven times, of the 53 answers naming Rocketlane and the 35 naming Teamwork.com. In those answers Teamwork.com took the first choice two times and Rocketlane one.
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 | |
Rocketlane Teamwork.com first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rocketlane on the left and Teamwork.com on the right.The direct prompt
Rocketlane first, Teamwork.com not the choice
2 of 14 modelsTeamwork.com was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
9 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
Rocketlane2%#8 of 11Teamwork.com2%#6 of 11Rocketlane6%#4 of 10Teamwork.com6%#5 of 10Rocketlane4%#4 of 11Teamwork.com0%#– of 11What the models said about Rocketlane
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“if your use case is not services-delivery-heavy, because these are positioned as specialized PSA platforms ... may be overbuilt for simpler needs” Perplexity Sonar · negative prompt · soft negative
“more expensive or positioned for larger teams, such as Rocketlane at $19/user/month” Perplexity Sonar · budget prompt · soft negative
“Moderate Caution – Great for onboarding, shallow on financial depth.” DeepSeek V4 Flash · negative prompt · soft negative
“Rocketlane is currently leading the pack in innovation” Gemini 3.5 Flash · direct prompt · first choice
“Rocketlane (best overall with AI-powered Nitro agents)” Claude Haiku 4.5 · comparative prompt · first choice
“Kantata and Rocketlane are the top choices” Mistral Small · direct prompt · first choice
What the models said about Teamwork.com
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“If you need the cheapest viable PSA with time tracking + invoicing, Teamwork.com from ~$9.99/user/mo and BigTime Essentials from ~$20/user/mo are the most frequently cited budget-friendly options” Muse Glimmer 30B · budget prompt · first choice
“Productive (starting at $9/user/month) or Teamwork.com ... offer the best overall value” DeepSeek V4 Flash · budget prompt · first choice
“Productive or Teamwork are the top picks” GLM 4.7 FlashX · budget 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.