# ModernLoop vs GoodTime: which do AI models recommend for interview scheduling, September 2026

HR AI Recommendation Index, September 2026 Edition, Interview scheduling. Five of twelve models named ModernLoop first on the direct prompt; two named GoodTime. Page: https://hr-ai-index.com/talent/interview-scheduling/modernloop-vs-goodtime/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| ModernLoop | 15% | #2 of 11 | 10% | 29 | 11 of 12 |
| GoodTime | 9% | #5 of 11 | 24% | 45 | 12 of 12 |

## The direct prompt, model by model

- Gemini 3.5 Flash: modernloop first (first choices: ModernLoop) (alternatives: Ashby, candidate.fyi)
- Perplexity Sonar: modernloop first (first choices: ModernLoop) (alternatives: GoodTime, Lever)
- DeepSeek V4 Flash: modernloop first (first choices: Greenhouse, ModernLoop) (alternatives: Ashby, Calendly, Lever)
- Llama 4 Maverick: modernloop first (first choices: ModernLoop) (alternatives: Greenhouse, Lever)
- GLM 4.7 FlashX: modernloop first (first choices: ModernLoop) (alternatives: GoodTime, Lever, candidate.fyi)
- GPT-5.4 mini: goodtime first (first choices: GoodTime) (alternatives: Ashby, Calendly)
- Grok 4.1 Fast: goodtime first (first choices: GoodTime, Lever) (alternatives: Greenhouse, ModernLoop)
- Claude Haiku 4.5: neither first, one named (first choices: Cronofy, Greenhouse) (alternatives: Calendly, Koalendar, ModernLoop)
- Mistral Small: neither first, one named (first choices: Lever) (alternatives: Koalendar, ModernLoop)
- Qwen 3.7 Flash: neither first, one named (first choices: Greenhouse) (alternatives: Calendly, GoodTime, Lever, LimeLight, Lunacal)
- Kimi K2: neither first, one named (first choices: Lever) (alternatives: GoodTime, Greenhouse, ModernLoop)
- MiniMax M2.5: neither first, one named (first choices: Cal.com, Lever) (alternatives: GoodTime, Greenhouse, ModernLoop)

## What the models said about ModernLoop

- "Enterprise, quote-only, often thousands per month — avoid these on a limited budget" (DeepSeek V4 Flash, budget prompt, hard negative)
- "expensive administrative overkill for small-to-midsize companies (under 100 employees)" (Gemini 3.5 Flash, negative prompt, soft negative)
- "ModernLoop can add friction and slow your process" (GLM 4.7 FlashX, negative prompt, soft negative)
- "ModernLoop is the strongest default choice because it is repeatedly positioned as a mid-market tool with strong automation" (Perplexity Sonar, direct prompt, first choice)
- "The Top Pick: ModernLoop ... widely considered the strongest standalone scheduling tool for mid-market companies" (GLM 4.7 FlashX, direct prompt, first choice)
- "Add ModernLoop (or Calendly for lighter needs) on top — it's the value sweet spot for mid-market." (DeepSeek V4 Flash, direct prompt, first choice)

## What the models said about GoodTime

- "Avoid ATS-style recruiting platforms like Breezy HR, Workable, or GoodTime if budget is tight" (Perplexity Sonar, budget prompt, hard negative)
- "Enterprise, quote-only, often thousands per month — avoid these on a limited budget" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Frequent reports of bugs like missing time slots, crashes, slow performance, calendar sync glitches, and timezone issues." (Grok 4.1 Fast, negative prompt, soft negative)
- "Choose GoodTime if you have a dedicated recruiting team and want to automate the administrative side of interviewing" (Qwen 3.7 Flash, comparative prompt, first choice)
- "GoodTime is the top choice for enterprises whose scheduling challenge extends beyond simple booking" (Claude Haiku 4.5, comparative prompt, first choice)
- "Best overall for mid-market recruiting teams: GoodTime if you run multi-interviewer panels" (GPT-5.4 mini, direct prompt, first choice)

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. 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.