# Calendly vs ModernLoop: which do AI models recommend for interview scheduling, October 2026

HR AI Recommendation Index, October 2026 Edition, Interview scheduling. Three of fourteen models named Calendly first on the direct prompt; four named ModernLoop. Page: https://hr-ai-index.com/talent/interview-scheduling/calendly-vs-modernloop/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Calendly | 20% | #1 of 12 | 33% | 55 | 14 of 14 |
| ModernLoop | 9% | #4 of 12 | 8% | 26 | 13 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: calendly first (first choices: Calendly) (alternatives: Chili Piper, Greenhouse, Lever)
- DeepSeek V4 Flash: calendly first (first choices: Cal.com, Calendly) (alternatives: Greenhouse, Lever)
- GLM 4.7 FlashX: calendly first (first choices: Calendly) (alternatives: GoodTime, Greenhouse, Lever)
- Claude Haiku 4.5: modernloop first (first choices: ModernLoop) (alternatives: Ashby, GoodTime, Greenhouse)
- Gemini 3.5 Flash: modernloop first (first choices: ModernLoop) (alternatives: Ashby, Calendly’s Prelude, GoodTime)
- Kimi K2: modernloop first (first choices: ModernLoop) (alternatives: Ashby, Calendly, GoodTime, Greenhouse, Lever)
- GPT-6 Luna: modernloop first (first choices: ModernLoop) (alternatives: GoodTime, Greenhouse)
- Perplexity Sonar: neither first, one named (first choices: GoodTime) (alternatives: Calendly Sales, Greenhouse, ModernLoop)
- GPT-5.4 mini: neither named (first choices: Ashby) (alternatives: Calendly Sales, GoodTime, Prelude)
- Mistral Small: neither named (first choices: Greenhouse, Lever) (alternatives: Cal.com)
- Llama 4 Maverick: neither named (first choices: Lever) (alternatives: Cal.com, Greenhouse, Joveo, Workforce Now)
- Qwen 3.7 Flash: neither named (first choices: GoodTime) (alternatives: Ashby, Lever)
- MiniMax M2.5: neither named (first choices: Lever) (alternatives: Cal.com, Chili Piper, Greenhouse)
- Muse Glimmer 30B: neither named (first choices: Greenhouse, Jobvite) (alternatives: GoodTime, candidate.fyi)

## What the models said about Calendly

- "Avoid using general-purpose tools (like Doodle or basic free tiers of Calendly) for serious hiring workflows" (DeepSeek V4 Flash, negative prompt, hard negative)
- "Calendly (Specifically for large Enterprise/Tech sectors): ... it is notably banned by Amazon for employee use. This is due to concerns over data leakage" (Qwen 3.7 Flash, negative prompt, soft negative)
- "Calendly - Very popular and widely used. Has a free tier for basic use... For very small teams (1-5 people): Calendly's free plan or BizBot's free tier should suffice" (MiniMax M2.5, budget prompt, first choice)
- "Most companies with limited budgets start with Calendly's free plan and upgrade only when they need team scheduling features" (Kimi K2, budget prompt, first choice)
- "1. Calendly
- Best for: Sales teams, recruiters, consultants, and anyone needing to schedule 1:1 or team meetings." (Mistral Small, comparative prompt, first choice)

## What the models said about ModernLoop

- "they're overkill for a budget-conscious small company" (DeepSeek V4 Flash, budget prompt, hard negative)
- "you don't need to spend thousands of dollars on enterprise-grade recruiting software like GoodTime or ModernLoop" (Gemini 3.5 Flash, budget prompt, soft negative)
- "My default pick: ModernLoop—if you’re a mid-market B2B company with a dedicated recruiting team and regular multi-person interview panels." (GPT-6 Luna, direct prompt, first choice)
- "Platforms like candidate.fyi, GoodTime, and ModernLoop are specifically designed to handle complex, multi-stage panel loops" (Gemini 3.5 Flash, scale prompt, first choice)
- "Top Pick: ModernLoop ... widely considered the gold standard for mid-market recruiting teams" (Gemini 3.5 Flash, direct prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.