Five of twelve models named Connecteam first on the direct prompt; four named Blink. Connecteam was named by twelve of the twelve models and Blink by eleven and Connecteam carries 48 labels and Blink 37, so the shares are not directly comparable.
Named in seventeen categories 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 twelve 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 frontline employee apps page.
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.
“For most companies with a limited budget and a frontline workforce, Connecteam is the strongest all‑in‑one choice (free up to 10 users).” GLM 4.7 FlashX · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Staffbase or Blink, but these are typically not the best budget choices” GPT-5.4 mini · budget prompt · soft negative
“at $3.75/user/month (annual), but only a 14-day trial” DeepSeek V4 Flash · budget prompt · soft negative
“Blink is a highly-rated app that is specifically designed for frontline or deskless workforces... It offers a free plan and paid plans starting at $3.75/user/month.” Llama 4 Maverick · budget prompt · first choice
“Prioritize mobile-first platforms like Blink, Beekeeper, Staffbase... (e.g., Blink for simplicity, Staffbase for enterprise depth)” Grok 4.1 Fast · scale prompt · first choice
“For most mid‑market B2B companies, Blink is the best all‑round choice for a dedicated frontline communication app” GLM 4.7 FlashX · direct prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.