// CATEGORY INDEX · 2026-W24 · n=30
Best Staff Scheduling for Restaurants according to AI
Across 30 sampled answers on four models, AI names 7shifts most often when buyers ask about this category.
MOST RECOMMENDED
93 %
7shifts
Δ WEEK new
AGREEMENT MED
LEAD +7pp
LEADERBOARD // mention rate, all models
30 answers · sorted by mention rate
0193%
0287%
0370%
0467%
0557%
0653%
0747%
0843%
0933%
1017%
1110%
1210%
1310%
1410%
1510%
167%
177%
187%
197%
207%
213%
223%
233%
243%
253%
263%
273%
283%
293%
303%
313%
323%
333%
343%
353%
363%
373%
383%
393%
403%
413%
423%
433%
443%
453%
463%
473%
483%
493%
503%
MODEL_MATRIX // Staff Scheduling for Restaurants
BRAND DS GEM KIMI GPT PPLX AVG
7shifts 10010067100100 93%
Homebase 8310050100100 87%
Deputy 83836710017 70%
Sling 8367673383 67%
When I Work 67175010050 57%
Toast 1001006700 53%
scale 828507292 // 0 = never named · 100 = named in every sample
PROMPTS_USED × 5 models
> What is the best staff scheduling software for restaurants?
> Which staff scheduling software should restaurants use?
> Recommend a staff scheduling software for restaurants.
> What staff scheduling software do restaurants use most in 2026?
> Best affordable staff scheduling software for restaurants?
> What's the top-rated staff scheduling software for restaurants?
SOURCES_CITED 2026-W24
1 capterra.com 36.4%
2 getapp.com 21.8%
3 softwareadvice.com 18.2%
4 g2.com 9.1%
5 sling.com 3.6%
6 joinhomebase.com 3.6%
7 7shifts.com 3.6%
8 connecteam.com 3.6%
! LIMITATIONS
Mention rate measures how often a brand is named, not whether it's the best product. Results reflect each model's training data and live retrieval at sample time and shift week to week. We accept no payment for placement — see the methodology for the full prompt set, models and known limits.
RELATED_VERTICALS
FAQ
- Which Staff Scheduling for Restaurants does AI recommend most?
- As of 2026-W24, AI named 7shifts in 93% of 30 sampled answers — more than any other brand.
- How is this measured?
- We ask each model a fixed set of buyer-intent questions, sampled repeatedly, and count how often each brand is named. Full method on the methodology page.
- How often does it update?
- Weekly. Mention rates shift as models update and as the web they cite changes.