Meeting scheduling for small business buyers
Asked as “meeting scheduling tool for sales teams”, and as “appointment scheduling software”, on behalf of a small B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
59%
Clear leader
59Calendly17HubSpot Meetings08Cal.com15others
59% of first choices, clear leader.
Since September 2026=heldSince September 2026: 59% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Calendly held the lead, ±0 points on 59%, inside the 11-point floor.
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
Calendly59%Clear leader=heldSince September 2026: 59% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketCalendly36%Contested▼−20Since September 2026: 59% → 39%, −20 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterpriseCalendly46%Clear leader▼−7Since September 2026: 52% → 45%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
Calendly59%Clear leader=heldSince September 2026: 59% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketCalendly36%Contested▼−20Since September 2026: 59% → 39%, −20 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterpriseCalendly46%Clear leader▼−7Since September 2026: 52% → 45%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Calendly59%18%79endorsed leader=heldSince September 2026: 59% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.59% → 60%
Calendly59%18%79endorsed leader=heldSince September 2026: 59% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.59% → 60%02
HubSpot Meetings17%7%43accepted challenger▲+1Since September 2026: 17% → 17%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 17%
HubSpot Meetings17%7%43accepted challenger▲+1Since September 2026: 17% → 17%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 17%03
Cal.com8%5%39accepted challenger=heldSince September 2026: 7% → 8%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 8%
Cal.com8%5%39accepted challenger=heldSince September 2026: 7% → 8%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 8%04
Chili Piper7%33%33criticized challenger▲+2Since September 2026: 6% → 8%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 8%
Chili Piper7%33%33criticized challenger▲+2Since September 2026: 6% → 8%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 8%Show the seven products at 0%, ordered by negative rate
11
Doodle0%35%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Doodle0%35%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
Acuity Scheduling0%24%25accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Acuity Scheduling0%24%25accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%06
Setmore0%19%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Setmore0%19%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%08
Google Calendar Appointment Scheduling Lab in the set0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Google Calendar Appointment Scheduling Lab in the set0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Microsoft Bookings0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Microsoft Bookings0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
YouCanBookMe0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
YouCanBookMe0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%05
SavvyCal0%6%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
SavvyCal0%6%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google Calendar Appointment Scheduling is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
All twenty-one head-to-head pages: the top seven products, each against each
Calendly vs RevenueHeroCalendly vs OnceHubCalendly vs Google Calendar Appointment SchedulingChili Piper vs HubSpot MeetingsChili Piper vs Cal.comChili Piper vs RevenueHeroChili Piper vs OnceHubChili Piper vs Google Calendar Appointment SchedulingHubSpot Meetings vs Cal.comHubSpot Meetings vs RevenueHeroHubSpot Meetings vs OnceHubHubSpot Meetings vs Google Calendar Appointment SchedulingCal.com vs RevenueHeroCal.com vs OnceHubCal.com vs Google Calendar Appointment SchedulingRevenueHero vs OnceHubRevenueHero vs Google Calendar Appointment SchedulingOnceHub vs Google Calendar Appointment Scheduling
One product takes 59% of first choices here, so the chart would put ten markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Two products carry a negative rate above 25% in this category.
What they warned about
Seven of fourteen models held their first choice under the paraphrase. Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, MiniMax M2.5 and GPT-6 Luna 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.
Calendly18%
14 of 79 labels negative · 12 of 14 models
“still the default for one-off meeting links, but the free tier is very tight... Only one free link, Fewer free calendars, Customization is limited.” Muse Glimmer 30B, negative prompt
Chili Piper33%
11 of 33 labels negative · 8 of 14 models · 2 hard negative
“Tools to Skip... Massive overkill for a small business.” DeepSeek V4 Flash, paraphrase prompt
Doodle35%
6 of 17 labels negative · 6 of 14 models · 2 hard negative
“Avoid using Doodle’s free or basic tiers for any B2B or external client communications.” Gemini 3.5 Flash, negative prompt
Acuity Scheduling24%
6 of 25 labels negative · 6 of 14 models · 1 hard negative
“**Why avoid?** No free plan (just a 7-day trial), email-only support, and costs start higher” Grok 4.1 Fast, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
74 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 969 links across 205 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · HubSpot38 answers · 88 citations · 13 models
vendor site · Calendly38 answers · 75 citations · 11 models
vendor site · Albato31 answers · 33 citations · 12 models
vendor site · Cal.com27 answers · 43 citations · 11 models
vendor site · Koalendar27 answers · 32 citations · 12 models
vendor site · RevenueHero27 answers · 31 citations · 12 models
vendor site · Capterra18 answers · 22 citations · 12 models
vendor site · Agiled18 answers · 19 citations · 10 models
vendor site · Zapier17 answers · 18 citations · 8 models
vendor site · Zoho17 answers · 18 citations · 9 models
16 answers · 20 citations · 9 models
vendor site · Guideflow16 answers · 18 citations · 10 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.
30 answers · 12 models
24 answers · 10 models
21 answers · 10 models
19 answers · 10 models
18 answers · 8 models
16 answers · 10 models
15 answers · 8 models
14 answers · 6 models
14 answers · 9 models
12 answers · 9 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best meeting scheduling tool for sales teams”, “meeting scheduling tool for sales teams”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Calendly calendly.com | 59% | 219 | 368,000 | 2,824 | 292,858 | $34 | 5 | |
| HubSpot parent site HubSpot Meetings 17%, HubSpot Sales Hub 3%, HubSpot CRM 2% | 22% | 693 | 368,000 | 9,776 | ||||
| Cal.com cal.com | 8% | 112 | 2,900 | 100 | 439,943 | 3 | 7 | |
| ChiliPiper chilipiper.com Chili Piper 7%, ChiliPiper 0% | 7% | 232 | 6,600 | 130 | 6,997 | $295 | 41 | |
| Koalendar koalendar.com | 2% | 9 | 2,400 | 32 | 1,332,699 | 9 | ||
| TidyCal tidycal.com | 2% | 8 | ||||||
| SavvyCal savvycal.com | 0% | 38 | 880 | 1 | 10,407,137 | |||
| Setmore setmore.com | 0% | 23 | 12,100 | 128 | 1,053,528 | 10 | ||
| Acuity Scheduling acuityscheduling.com | 0% | 53 | 90,500 | 288 | 926,226 | 23 | 1 | |
| Google parent site Google Calendar Appointment Scheduling 0% | 0% | 31 | 12,100 | 138 |
Google's top ten for the two searches hold 17 sites; 3 of them are among the sites the models cited here (blog.hubspot.com, cal.com, youcanbook.me). The first result for “best meeting scheduling tool for sales teams” is peoplemanagingpeople.com.
How 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.ShowHide
How 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.
ShowHideModelDirect“What is the best meeting scheduling tool for sales teams for a small B2B company?”Paraphrase“Which appointment scheduling software would you recommend to a small business that sells to other businesses?”Comparative“What are the top meeting scheduling tools for a small team and how do they differ?”Budget-constrained“What is the best meeting scheduling tool for sales teams for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a meeting scheduling tool for sales teams. What should we look at?”Negative“Which meeting scheduling tools should a small business avoid or be cautious about?”
Claude Haiku 4.5Calendlyagainst: Chili PiperCalendlyHeldCalendlyCalendly, HubSpot Meetingsno first choiceagainst: Calendly, Sling, Square Appointments
One alternative
HubSpot MeetingsFour alternatives
Acuity Scheduling, HubSpot Meetings, Setmore, Zoho BookingsFour alternatives
Cal.com, Doodle, Google Calendar Appointment Scheduling, SetmoreTwo alternatives
Appointlet, SetmoreGPT-5.4 miniCalendlyCalendlyHeldCalendlyCalendlyagainst: Chili Piperno first choicenothing named
Two alternatives
Chili Piper, HubSpot MeetingsTwo alternatives
Acuity Scheduling, Cal.comTwo alternatives
Cal.com, DoodleOne alternative
HubSpot MeetingsGemini 3.5 FlashCal.comagainst: Chili PiperCalendlyChangedCalendlyCal.com, TidyCalagainst: CalendlyCalendlyagainst: Chili Piperagainst: Clara Labs, Doodle, Microsoft Bookings, OnceHub
Three alternatives
Calendly, HubSpot Meetings, SavvyCalThree alternatives
Cal.com, HubSpot Meetings, RevenueHeroFour alternatives
Acuity Scheduling, Cal.com, SavvyCal, TidyCalOne alternative
HubSpot MeetingsFour alternatives
Cal.com, Default, HubSpot Meetings, RevenueHeroPerplexity SonarCalendly, HubSpot Meetings, HubSpot Sales HubCalendlyChangedagainst: Acuity SchedulingCalendly, SimplyMeet.meHubSpot Sales Hubagainst: Chili Piper, ZoomInfo GTM Workspaceno first choiceagainst: Calendly, Doodle, Picktime, Setmore, Square Appointments, When2meet
Two alternatives
Cal.com, Chili PiperThree alternatives
HubSpot Meetings, RevenueHero, YouCanBookMeFour alternatives
Doodle, HubSpot Meetings, Setmore, Zoho BookingsTwo alternatives
Cal.com, CalendlyGrok 4.1 FastCalendlyCalendlyHeldCalendlyHubSpot MeetingsCalendlyagainst: Acuity Scheduling, Calendly, Chili Piper, HubSpot Meetings, Salesforce
Four alternatives
Cal.com, Chili Piper, HubSpot Meetings, SavvyCalTwo alternatives
Acuity Scheduling, YouCanBookMeSeven alternatives
Acuity Scheduling, Google Calendar Appointment Scheduling, Microsoft Bookings, SavvyCal, Setmore, YouCanBookMe, Zoho BookingsThree alternatives
Cal.com, Calendly, KoalendarTwo alternatives
Chili Piper, HubSpot MeetingsMistral SmallHubSpot MeetingsCalendly, Chili PiperChangedCalendlyCalendlyno first choicenothing named
Two alternatives
Calendly, Chili PiperTwo alternatives
Acuity Scheduling, Square AppointmentsFive alternatives
Cal.com, Doodle, Google Calendar Appointment Scheduling, Koalendar, Microsoft BookingsTwo alternatives
Cal.com, HubSpot MeetingsDeepSeek V4 FlashCalendlyagainst: Chili PiperCalendlyHeldagainst: Cal.com, Chili PiperCal.com, CalendlyCalendlyChili Piper, HubSpot Meetingsagainst: Calendly, Doodle, Microsoft Bookings, TidyCal
Three alternatives
Cal.com, HubSpot Meetings, OnceHubTwo alternatives
Acuity Scheduling, HubSpot MeetingsFive alternatives
Acuity Scheduling, Doodle, Google Calendar Appointment Scheduling, HubSpot Meetings, SetmoreThree alternatives
Cal.com, HubSpot Meetings, Zoho BookingsThree alternatives
Cal.com, Calendly, Pipedrive SchedulerLlama 4 MaverickCalendlyno first choiceChangedSetmoreCalendlyCalendlyagainst: Acuity Scheduling, Calendly, SavvyCal
Two alternatives
albato.com, leadfeeder.comTwo alternatives
Calendly, SimplyMeet.meTwo alternatives
HubSpot Meetings, SetmoreTwo alternatives
Chili Piper, HubSpot MeetingsQwen 3.7 FlashCalendly, Chili PiperCalendlyChangedCalendlyHubSpot MeetingsCalendly, Chili Piperagainst: Acuity Scheduling, Calendly, HubSpot Meetings, Salesforce
One alternative
SavvyCalThree alternatives
Acuity Scheduling, Microsoft Bookings, SavvyCalFour alternatives
Doodle, Google Calendar Appointment Scheduling, Microsoft Bookings, SavvyCalTwo alternatives
Cal.com, CalendlyTwo alternatives
Savvy, TopMateKimi K2Calendlyagainst: Chili PiperCalendlyHeldCal.com, CalendlyCal.com, HubSpot MeetingsCal.com, Calendlyagainst: Chili Piperagainst: Appointy, Calendly, Clockwise, Doodle, Setmore, SimplyMeet Me, Square Appointments
Two alternatives
HubSpot Meetings, SavvyCalTwo alternatives
Acuity Scheduling, HubSpot MeetingsFour alternatives
Doodle, Microsoft Bookings, OnceHub, SavvyCalTwo alternatives
Calendly, KoalendarGLM 4.7 FlashXCalendlyCalendlyHeldCal.com, CalendlyKoalendaragainst: Calendlyno first choiceagainst: Calendly
Two alternatives
Chili Piper, HubSpot Sales HubFive alternatives
Acuity Scheduling, Cal.com, Chili Piper, OnceHub, SavvyCalFour alternatives
Doodle, Google Calendar Appointment Scheduling, Microsoft Outlook Calendar, x.aiOne alternative
Google Calendar Appointment SchedulingMiniMax M2.5Calendly, HubSpot Meetingsagainst: Google Calendar Appointment SchedulingCalendlyChangedCalendlyHubSpot Meetingsno first choiceagainst: Calendly, Doodle, HubSpot Meetings, YouCanBookMe
Three alternatives
ChiliPiper, Microsoft Bookings, Salesforce Lightning SchedulerTwo alternatives
Acuity Scheduling, Chili PiperTwo alternatives
Doodle, KoalendarTwo alternatives
Calendly, Chili PiperGPT-6 LunaCalendly, HubSpot CRMCalendlyChangedCalendlyCal.comagainst: Calendlyno first choiceagainst: Acuity Scheduling, Calendly, Doodle, Google Calendar Appointment Scheduling, SimplyBook.me
One alternative
HubSpot MeetingsFour alternatives
Cal.com, Google Calendar Appointment Scheduling, Microsoft Bookings, SavvyCalOne alternative
HubSpot MeetingsMuse Glimmer 30BCalendlyCalendlyHeldagainst: Square AppointmentsCalendlyHubSpot Meetingsagainst: Chili Piperno first choiceagainst: Acuity Scheduling, Cal.com, Calendly, Setmore, SimplyBook.me
Two alternatives
Cal.com, Chili PiperTwo alternatives
Chili Piper, HubSpot MeetingsFour alternatives
Cal.com, Doodle, Koalendar, Microsoft BookingsThree alternatives
Cal.com, Calendly, SetmoreBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The 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
Eighty-four 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 | 2026-10-01 13:34 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:23 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:16 | yes | 13 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:47 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:30 | yes | 23 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:33 | yes | 10 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:52 | yes | 16 | 21 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:09 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:15 | no | 0 | 25 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:27 | yes | 9 | 15 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:38 | yes | 10 | 23 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:10 | no | 0 | 42 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:22 | yes | 2 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:05 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:53 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:20 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:34 | yes | 15 | 45 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:33 | yes | 24 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:40 | yes | 25 | 5 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:43 | yes | 11 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:43 | yes | 24 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:04 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:04 | yes | 5 | 24 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:00 | yes | 10 | 16 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:49 | yes | 23 | 27 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 14:13 | yes | 10 | 29 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:57 | yes | 2 | 10 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:17 | yes | 13 | 13 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:14 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:58 | yes | 6 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:49 | yes | 19 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:00 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:33 | yes | 24 | 17 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:24 | yes | 8 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:54 | yes | 19 | 29 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 14:08 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:00 | no | 0 | 24 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:20 | yes | 15 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:51 | no | 0 | 16 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:15 | yes | 12 | 17 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:51 | yes | 5 | 16 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:48 | yes | 11 | 19 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:57 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:05 | yes | 2 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:14 | yes | 18 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 13:44 | yes | 20 | 5 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:07 | yes | 19 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:30 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:08 | yes | 18 | 26 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:26 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:30 | yes | 8 | 35 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:25 | yes | 13 | 18 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:48 | yes | 24 | 151 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:34 | yes | 5 | 38 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:55 | yes | 3 | 10 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:48 | yes | 12 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:26 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:36 | yes | 3 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:25 | yes | 11 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:54 | yes | 17 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:36 | yes | 15 | 13 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:07 | no | 0 | 4 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:15 | yes | 18 | 49 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:34 | yes | 9 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:14 | no | 0 | 38 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:39 | yes | 15 | 24 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:48 | yes | 17 | 43 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:56 | no | 0 | 11 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:33 | yes | 2 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:02 | yes | 11 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:54 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:58 | no | 0 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:13 | yes | 16 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 13:03 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:22 | yes | 22 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:34 | yes | 13 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:38 | yes | 24 | 33 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:55 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:48 | yes | 16 | 55 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:09 | yes | 25 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:41 | yes | 25 | 50 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:52 | yes | 22 | 36 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:16 | yes | 5 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:58 | yes | 21 | 28 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Acuity read as Acuity Scheduling
Google Appointments read as Google Calendar Appointment Scheduling
Google Calendar read as Google Calendar Appointment Scheduling
Google Calendar ( Appointment Slots ) read as Google Calendar Appointment Scheduling
Google Calendar (Built-in Appointment Slots) read as Google Calendar Appointment Scheduling
Google Calendar Appointment Schedules read as Google Calendar Appointment Scheduling
Google Calendar appointment schedules read as Google Calendar Appointment Scheduling
HubSpot read as HubSpot Meetings
HubSpot's free meeting scheduler read as HubSpot Meetings
HubSpot's meeting scheduler read as HubSpot Meetings
Unresolved, counted raw
Appointlet
Clara Labs
Kumospace / Koalendar
MS Bookings
Microsoft Outlook Calendar
Picktime
Pipedrive Scheduler
RoundTrip
Salesforce
Salesforce Lightning Scheduler
Savvy
Scheduler AI
SimplyMeet Me
TopMate
Vowel
XShift AI
albato.com
leadfeeder.com
Discontinued, still offered
No shut-down product was recommended here.