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Interview scheduling · November 2026 Edition

Calendly vs Greenhouse

One of fourteen models named Calendly first on the direct prompt; zero named Greenhouse. Calendly was named by fourteen of the fourteen models and Greenhouse by thirteen and Calendly carries 59 labels and Greenhouse 23, so the shares are not directly comparable.

Calendly

criticized challenger

Named in five categories this edition.

Greenhouse

accepted challenger

Named in fourteen categories this edition.

First-choice share16%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate29%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 15; printed, not drawn.
Labels5923A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Calendly reading right to left. Rank and label count are printed, not drawn.ModernLoop was named alongside these two in thirteen of the fourteen direct answers. ModernLoop vs Calendly · ModernLoop vs Greenhouse · Calendly vs GoodTime

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 interview scheduling page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CalendlyFirst choices, of fourteen modelsGreenhouse
Direct106 against Calendly
Paraphrase121 against Calendly · 1 against Greenhouse
Comparative201 against Calendly
Budget-constrained60
Scale-constrained001 against Calendly
Negative008 against Calendly · 2 against Greenhouse
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Calendly and Greenhouse stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Calendly Greenhouse first choice named as an alternative argued againstblank: not namedEach cell is one answer, Calendly on the left and Greenhouse on the right.

The direct prompt

The plain question, one answer per model, grouped by where Calendly and Greenhouse stood in it.

Calendly first, Greenhouse an alternative

1 of 14 modelsGreenhouse was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashCalendly, ModernLoop alternatives: GoodTime, Greenhouse, Lever

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniGoodTime alternatives: Ashby, Calendly, Greenhouse, Lever
Mistral SmallGoodTime alternatives: Calendly, ModernLoop, Paradox
DeepSeek V4 FlashModernLoop alternatives: Calendly
Llama 4 MaverickModernLoop alternatives: Calendly, GoodTime

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5ModernLoop alternatives: Ashby, GoodTime, Prelude
Gemini 3.5 FlashModernLoop alternatives: Ashby, GoodTime, candidate.fyi
Perplexity SonarGoodTime alternatives: Ashby, Cal.com, Lever, ModernLoop
Grok 4.20ModernLoop alternatives: Grayscale, Prelude
Kimi K2ModernLoop alternatives: GoodTime
GLM 4.7 FlashXModernLoop alternatives: GoodTime, Grayscale
MiniMax M2.5ModernLoop alternatives: Cal.com, GoodTime, VidCruiter
GPT-6 LunaModernLoop alternatives: Ashby's native scheduling, GoodTime
Muse Glimmer 30BModernLoop alternatives: Grayscale, Prelude

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Calendly leads by fifty points.
Calendly50%#1 of 16
Greenhouse0%#13 of 16
The full small business standing →
Mid-marketThe figures above
Calendly leads by twelve points.
Calendly16%#2 of 15
Greenhouse4%#7 of 15
The full mid-market standing →
Enterprise
The order flips: Greenhouse leads at enterprise.
Greenhouse9%#4 of 13
Calendly2%#8 of 13
The full enterprise standing →

What the models said about Calendly

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“General-purpose tools like Calendly and Microsoft Bookings lack the ATS depth and interviewer load balancing that recruiting teams need at scale.” Muse Glimmer 30B · direct prompt · hard negative
“Standard tools like basic Calendly often fail because they struggle with complex panel logic and deep ATS synchronization.” Gemini 3.5 Flash · paraphrase prompt · hard negative
“Why to avoid: It lacks deep ATS integration and compliance features required for enterprise recruiting.” Qwen 3.7 Flash · negative prompt · hard negative
“Calendly is the industry standard for a reason. It is the easiest tool to set up and requires the least amount of training” GLM 4.7 FlashX · comparative prompt · first choice
“Calendly is considered a budget-friendly option, with a free plan and paid plans starting at $10 to $16 per seat a month.” Llama 4 Maverick · budget prompt · first choice
“the best starting point is usually Calendly because it has a free plan and low-cost paid tiers” GPT-5.4 mini · budget prompt · first choice

What the models said about Greenhouse

No label in this category carried a quote.

Also compared

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.