Connecteam vs Blink
Nine of fourteen models named Connecteam first on the direct prompt; five named Blink. Both were named by all fourteen models and Connecteam carries 58 labels and Blink 49, so the shares are not directly comparable.
Named in nineteen 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 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 frontline employee apps page.
By framing
ConnecteamFirst choices, of fourteen modelsBlink
Across every category in the October 2026 Edition, Connecteam and Blink were named in the same answer 113 times, of the 578 answers naming Connecteam and the 165 naming Blink. In those answers Blink took the first choice seventeen times and Connecteam forty-seven.
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 | | | | | |
Connecteam Blink first choice named as an alternative argued againstblank: not namedEach cell is one answer, Connecteam on the left and Blink on the right.The direct prompt
Both were the first choice
2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Connecteam first, Blink an alternative
7 of 14 modelsBlink was named in the answer but not as the choice, or not at all.Blink first, Connecteam an alternative
3 of 14 modelsConnecteam was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
Connecteam79%#1 of 10Blink8%#2 of 10Connecteam49%#1 of 12Blink20%#2 of 12Blink24%#2 of 11Connecteam4%#5 of 11What the models said about Connecteam
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Connecteam bundles everything—shift scheduling, GPS time-clock tracking, task checklists, HR files, and instant chat—into a single, highly intuitive mobile app” Gemini 3.5 Flash · comparative prompt · first choice
“Connecteam (free tier up to 10 users, then ~$29/month for up to 30) is widely cited as the best value for SMBs with large frontline teams.” GLM 4.7 FlashX · budget prompt · first choice
“If you need operations + communication: Connecteam offers the best value with its all-in-one approach and transparent pricing.” Kimi K2 · direct prompt · first choice
What the models said about Blink
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“no permanent free tier for the full feature set ... be aware it adds a recurring line item from day one” Qwen 3.7 Flash · budget prompt · soft negative
“Blink is built specifically for frontline and deskless workers... best for predominantly deskless, mid-market to enterprise organizations.” Claude Haiku 4.5 · direct prompt · first choice
“If communication is your primary need: Blink delivers the highest frontline adoption rates at an affordable per-user price.” Kimi K2 · direct prompt · first choice
“Stick to agile, mobile-first platforms like Blink or Connecteam for the fastest return on investment.” Gemini 3.5 Flash · direct 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.