Index › Talent acquisition › Interview scheduling › Enterprise › September 2026 Edition

Interview scheduling for enterprise buyers

Asked as “interview scheduling software”, and as “recruiting coordination tool”, on behalf of an enterprise B2B company. 43 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.

Standing

GoodTime

Clear leader

56% of first choices, clear leader.

ShowinginAll 50 categories →

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

Small business

Calendly62%Clear leaderStanding →Mid-market

Calendly21%ContestedStanding →Enterprise

GoodTime56%Clear leaderThis page

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.

ProductFirst-choice shareNegative rateLabelsQuadrant

GoodTime2%51endorsed leader

candidate.fyi0%39accepted challenger

Greenhouse13%23accepted challenger

Workday Recruiting10%10accepted challenger

Show the five products at 0%, ordered by negative rate

Calendly80%45criticized challenger

Lever14%14accepted challenger

Paradox7%28accepted challenger

VidCruiter7%15accepted challenger

ModernLoop0%25accepted challenger

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

Head to head

Calendly vs ModernLoop Calendly vs Greenhouse ModernLoop vs Greenhouse

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default

Negative label rate →

Accepted challengerEndorsed leader

0%First-choice share → · lines at 30% share and 25% negative70%

Key

GoodTime56%

candidate.fyi21%

Greenhouse7%

Workday Recruiting7%

ModernLoop0%

Paradox0%

VidCruiter0%

Lever0%

Calendly0%

02What they warned about

One of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.

Calendly

80%

36 of 45 labels negative · 12 of 12 models · 16 hard negative

“The strongest warning in the results is against **Calendly for enterprise recruiting**. One source says it works well for individuals and small teams but "breaks down fast" for enterprise” Perplexity Sonar, negative prompt

Doodle

83%

5 of 6 labels negative · 5 of 12 models · 4 hard negative

“Generic calendar/polling tools (Doodle, Cal.com "basic" use, Zeeg, etc.) These are **not recruiting-specific**” DeepSeek V4 Flash, negative prompt

YouCanBookMe

80%

4 of 5 labels negative · 3 of 12 models · 2 hard negative

“Examples: Basic or standard tiers of **Calendly, Doodle, YouCanBookMe, Koalendar**” Gemini 3.5 Flash, negative prompt

Cal.com

33%

3 of 9 labels negative · 2 of 12 models · 1 hard negative

“Generic calendar/polling tools (Doodle, Cal.com "basic" use, Zeeg, etc.) These are **not recruiting-specific**” DeepSeek V4 Flash, negative prompt

03What they cite

Citations exist only for the models that return a source list: twelve of the twelve in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

67 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 5 of those lists are Google grounding redirects that name no site and are left out of the counts. 902 links across 196 sites, every framing counted. Ranked by the number of answers carrying the site or page.

goodtime.io

vendor site · GoodTime47 answers · 64 citations · 11 models

candidate.fyi

41 answers · 94 citations · 10 models

bestrecruitingtools.com

40 answers · 52 citations · 10 models

lever.co

vendor site · Lever31 answers · 31 citations · 10 models

cal.com

vendor site · Cal.com26 answers · 31 citations · 10 models

selectsoftwarereviews.com

vendor site · Select Software Reviews24 answers · 27 citations · 9 models

metaview.ai

vendor site · Metaview22 answers · 24 citations · 10 models

fluentbooking.com

vendor site · FluentBooking20 answers · 24 citations · 10 models

hiretruffle.com

18 answers · 19 citations · 8 models

calendly.com

vendor site · Calendly17 answers · 37 citations · 6 models

peoplemanagingpeople.com

vendor site · People Managing People16 answers · 18 citations · 6 models

lunacal.ai

vendor site · Lunacal16 answers · 16 citations · 9 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

goodtime.io/blog/talent-operations/best-interview-scheduling-software

36 answers · 10 models

candidate.fyi/interview-scheduling-software

33 answers · 10 models

bestrecruitingtools.com/blog/best-interview-scheduling-software-enterprise-…

32 answers · 10 models

lever.co/insights/best-interview-scheduling-software

31 answers · 10 models

cal.com/blog/best-interview-scheduling-software

21 answers · 9 models

fluentbooking.com/articles/best-interview-scheduling-software

20 answers · 10 models

selectsoftwarereviews.com/buyer-guide/interview-scheduling-software

18 answers · 8 models

candidate.fyi/post/best-interview-scheduling-software-for-recruiters

16 answers · 9 models

metaview.ai/resources/blog/automated-interview-scheduling-tools

15 answers · 8 models

lunacal.ai/blogs/interview-scheduling-software-recruiter

14 answers · 8 models

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.

ModelDirect“What is the best interview scheduling software for an enterprise B2B company?”Paraphrase“Which recruiting coordination tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade interview scheduling tools and how do they differ?”Budget-constrained“What is the best interview scheduling software for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an interview scheduling software. What should we look at?”Negative“Which interview scheduling tools should a large enterprise avoid or be cautious about?”

Claude Haiku 4.5GoodTime, candidate.fyi

One alternative

Paradox

Workday RecruitingChanged

Two alternatives

Greenhouse, iCIMS

GoodTime, candidate.fyi

Three alternatives

Greenhouse, Paradox, VidCruiter

against: CalendlyGoodTime

Two alternatives

Lunacal, candidate.fyi

no first choiceagainst: Calendly, Native ATS Scheduling

GPT-5.4 miniGoodTime

Three alternatives

Calendly, Rooster Scheduling, VidCruiter

GuideChanged

Five alternatives

Ashby, Greenhouse, Rooster, Workday Recruiting, candidate.fyi

GoodTime

Four alternatives

Ashby, Greenhouse, Paradox, Yello

against: CalendlyGoodTime

One alternative

Ashby

against: Calendlyno first choiceagainst: Calendly, Koalendar, YouCanBookMe

Gemini 3.5 Flashcandidate.fyi

Three alternatives

GoodTime, ModernLoop, Paradox

against: CalendlyGoodTimeChanged

Three alternatives

ModernLoop, Paradox, candidate.fyi

against: Calendlycandidate.fyi

Five alternatives

Calendly, GoodTime, ModernLoop, Paradox, VidCruiter

GoodTime

Three alternatives

Cal.com, Paradox, candidate.fyi

against: Calendlyno first choiceagainst: Arrange, Calendly, Doodle, Koalendar, Prelude, YouCanBookMe

Perplexity SonarGoodTime

One alternative

candidate.fyi

against: Cal.com, CalendlyGoodTimeHeld

One alternative

Greenhouse

GoodTime

Eight alternatives

Greenhouse, HireVue, Lever, ModernLoop, Paradox, SmartRecruiters, VidCruiter, candidate.fyi

against: Cal.comGoodTime

Three alternatives

Paradox, VidCruiter, candidate.fyi

against: CalendlyGoodTime

Four alternatives

Avature, Doodle, VidCruiter, candidate.fyi

against: Appointlet, Calendly, Doodle

Grok 4.1 FastGoodTime

Three alternatives

ModernLoop, Paradox, candidate.fyi

against: Calendly, Chili PiperWorkday RecruitingChanged

Two alternatives

Greenhouse, iCIMS

GoodTime

Four alternatives

Calendly, ModernLoop, Paradox, candidate.fyi

against: VidCruiterGoodTime

One alternative

Noon

against: Calendly, FluentBooking, SavvyCal, YouCanBookMeGoodTime

Three alternatives

Paradox, VidCruiter, candidate.fyi

against: Calendlyagainst: Calendly, Doodle, Google/Outlook Booking Links, HubSpot Meetings, YouCanBookMe

Mistral SmallGoodTime

Two alternatives

ModernLoop, candidate.fyi

Workday RecruitingChanged

Two alternatives

Greenhouse, iCIMS

candidate.fyi

Four alternatives

GoodTime, ModernLoop, Paradox, VidCruiter

against: CalendlyGoodTime, candidate.fyi

Two alternatives

ModernLoop, Paradox

against: Calendlyno first choiceagainst: Calendly

DeepSeek V4 FlashGoodTime

Two alternatives

Greenhouse / Lever / Workday native scheduling, candidate.fyi

against: CalendlyGreenhouse, iCIMSChanged

One alternative

SmartRecruiters

GoodTime

Three alternatives

HireVue, ModernLoop, candidate.fyi

against: Calendly, ParadoxGoodTime, candidate.fyi

One alternative

Noon

against: Calendlyno first choiceagainst: Cal.com, Calendly, Doodle, Zeeg

Llama 4 Maverickno first choiceGemChangedGoodTime

Five alternatives

Cal.com, Calendly, ModernLoop, Paradox, candidate.fyi

candidate.fyi

Three alternatives

GoodTime, ModernLoop, Paradox

no first choiceagainst: Calendly, Doodle, Recruitee

Qwen 3.7 FlashGoodTime

Two alternatives

Cal.com, ModernLoop

GreenhouseChanged

Two alternatives

Lever, iCIMS

GoodTime

Five alternatives

Cal.com, ModernLoop, Paradox, Prelude, VidCruiter

Greenhouse

Two alternatives

Calendly, Microsoft Bookings

no first choiceagainst: Calendly

Kimi K2GoodTime

Three alternatives

Greenhouse, Paradox, iCIMS

iCIMSChanged

One alternative

Workday Recruiting

against: Greenhouse, LeverGoodTime, candidate.fyi

Two alternatives

ModernLoop, Paradox

against: Calendly, Greenhouse, HireVue, Lever, PreludeGoodTime

One alternative

candidate.fyi

against: CalendlyGoodTime

Two alternatives

VidCruiter, candidate.fyi

against: Calendly, Microsoft Bookingsagainst: Acuity Scheduling, Calendly, GoodTime, Google Appointment Schedule, Greenhouse, Microsoft Bookings, Paradox, SavvyCal, Workday Recruiting

GLM 4.7 FlashXGoodTime

Three alternatives

Lever, ModernLoop, candidate.fyi

against: CalendlyGoodTime, candidate.fyiChanged

Eight alternatives

Cal.com, Guide, ModernLoop, Oracle Recruiting, Paradox, SAP SuccessFactors, Workday Recruiting, iCIMS

GoodTime

Four alternatives

ModernLoop, Paradox, VidCruiter, candidate.fyi

against: Calendlycandidate.fyi

Two alternatives

GoodTime, Noon

against: Calendlyno first choiceagainst: Calendly, Microsoft Teams, Zoom

MiniMax M2.5GoodTime

Two alternatives

Cal.com, Lever

candidate.fyiChanged

Three alternatives

Greenhouse, Paradox, Sense

GoodTime, candidate.fyi

Three alternatives

Cronofy, ModernLoop, Paradox

against: Calendlycandidate.fyi

Two alternatives

GoodTime, Noon

against: Calendlyno first choiceagainst: Calendly

Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record

Seventy-two rows: every prompt, every model, every answer.

Prompt	Model	Version string	Time (UTC)	Searched	Sources	Latency
Direct recommendation	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 18:02	yes	9	6 s
Direct recommendation	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 19:01	yes	4	5 s
Direct recommendation	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 22:02	yes	14	52 s
Direct recommendation	Perplexity Sonar	`sonar`	2026-09-17 21:40	yes	20	4 s
Direct recommendation	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 19:39	yes	31	16 s
Direct recommendation	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 18:56	yes	11	8 s
Direct recommendation	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 21:46	yes	18	16 s
Direct recommendation	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 18:27	yes	5	2 s
Direct recommendation	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 21:05	yes	13	52 s
Direct recommendation	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 20:41	yes	12	26 s
Direct recommendation	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 19:19	yes	18	193 s
Direct recommendation	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 19:38	yes	9	37 s
Paraphrase	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 19:14	yes	18	10 s
Paraphrase	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 21:12	yes	4	5 s
Paraphrase	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 18:20	yes	11	20 s
Paraphrase	Perplexity Sonar	`sonar`	2026-09-17 19:43	yes	20	6 s
Paraphrase	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 20:13	yes	18	11 s
Paraphrase	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 19:25	yes	5	4 s
Paraphrase	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 21:31	yes	20	15 s
Paraphrase	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 21:23	yes	5	2 s
Paraphrase	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 21:21	yes	15	34 s
Paraphrase	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 18:48	yes	18	24 s
Paraphrase	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 20:58	yes	17	35 s
Paraphrase	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 21:28	yes	5	28 s
Comparative	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 18:02	yes	9	9 s
Comparative	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 19:42	yes	9	13 s
Comparative	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 19:14	yes	14	27 s
Comparative	Perplexity Sonar	`sonar`	2026-09-17 21:31	yes	20	10 s
Comparative	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 19:04	yes	33	20 s
Comparative	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 18:58	yes	9	9 s
Comparative	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 18:55	yes	29	48 s
Comparative	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 18:57	yes	5	3 s
Comparative	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 19:35	yes	5	32 s
Comparative	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 20:20	yes	15	55 s
Comparative	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 19:22	yes	14	83 s
Comparative	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 19:53	yes	16	27 s
Budget constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 20:20	yes	14	9 s
Budget constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 19:20	yes	5	6 s
Budget constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 19:08	yes	19	28 s
Budget constrained	Perplexity Sonar	`sonar`	2026-09-17 18:35	yes	20	7 s
Budget constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 18:34	yes	41	18 s
Budget constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 21:13	yes	5	4 s
Budget constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 21:04	yes	20	20 s
Budget constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 20:14	yes	5	3 s
Budget constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 19:56	no	0	37 s
Budget constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 21:29	yes	17	68 s
Budget constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 18:46	yes	20	50 s
Budget constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 21:05	yes	19	62 s
Scale constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 20:37	yes	17	12 s
Scale constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 20:52	no	0	12 s
Scale constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 19:20	no	0	16 s
Scale constrained	Perplexity Sonar	`sonar`	2026-09-17 18:25	yes	20	12 s
Scale constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 20:54	yes	17	14 s
Scale constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 19:42	no	0	7 s
Scale constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 18:23	yes	20	23 s
Scale constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 21:21	yes	5	3 s
Scale constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 19:33	no	0	29 s
Scale constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 20:47	yes	24	64 s
Scale constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 21:41	yes	10	173 s
Scale constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 21:36	yes	9	19 s
Negative framing	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 20:30	yes	14	9 s
Negative framing	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 21:17	yes	3	7 s
Negative framing	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 18:18	yes	21	30 s
Negative framing	Perplexity Sonar	`sonar`	2026-09-17 19:34	yes	20	8 s
Negative framing	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 21:00	yes	22	14 s
Negative framing	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 18:12	yes	5	6 s
Negative framing	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 21:17	yes	27	23 s
Negative framing	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 19:42	yes	5	2 s
Negative framing	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 19:50	yes	5	22 s
Negative framing	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 20:54	yes	26	39 s
Negative framing	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 18:32	yes	12	41 s
Negative framing	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 18:05	yes	16	31 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings

Acuity read as Acuity Scheduling

SAP read as SAP SuccessFactors

Workday read as Workday Recruiting

Unresolved, counted raw

Google Appointment Schedule

Google/Outlook Booking Links

Greenhouse / Lever / Workday native scheduling

Jinba Flow

Native ATS Scheduling (Greenhouse/Lever)

People Admin

Recruiterslineup

Rooster

Rooster Scheduling

Xoxoday Plum

Zeeg

Discontinued, still offered

No shut-down product was recommended here.

Interview scheduling for enterprise buyers

By buyer segment

01The standing

Recommended versus criticized

02What they warned about

03What they cite

Sites the answers cite

Pages the answers cite

04How they answered

05The record

Normalization in this category

Also in talent acquisition