Index › HR › Onboarding and employee experience › Frontline employee apps › Enterprise · November 2026 Edition
Frontline employee apps for enterprise buyers
Asked as “frontline employee communication app”, and as “deskless workforce app”, on behalf of an enterprise B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
33%
Contested · Blink 20%
33Staffbase20Blink10MangoApps37others
33% of first choices, contested.
Since October 2026▼−2Since October 2026: 35% → 33%, −2 points. Inside the 13-point floor: within noise.Staffbase held the lead, −2 points on 35%, inside the 13-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
Connecteam94%Consensus▲+15Since October 2026: 79% → 94%, +15 points. Past the 13-point floor: movement.Standing →Mid-marketConnecteam62%Clear leader▲+13Since October 2026: 49% → 62%, +13 points. Inside the 13-point floor: within noise.Standing →Enterprise
Staffbase33%Contested▼−2Since October 2026: 35% → 33%, −2 points. Inside the 13-point floor: within noise.This page
Connecteam94%Consensus▲+15Since October 2026: 79% → 94%, +15 points. Past the 13-point floor: movement.Standing →Mid-marketConnecteam62%Clear leader▲+13Since October 2026: 49% → 62%, +13 points. Inside the 13-point floor: within noise.Standing →EnterpriseStaffbase33%Contested▼−2Since October 2026: 35% → 33%, −2 points. Inside the 13-point floor: within noise.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Staffbase33%8%51endorsed leader▼−2Since October 2026: 35% → 33%, −2 points. Inside the 13-point floor: within noise.35% → 33%
Staffbase33%8%51endorsed leader▼−2Since October 2026: 35% → 33%, −2 points. Inside the 13-point floor: within noise.35% → 33%02
Blink20%2%49accepted challenger▼−4Since October 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise.24% → 20%
Blink20%2%49accepted challenger▼−4Since October 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise.24% → 20%03
MangoApps10%0%33accepted challenger▲+4Since October 2026: 6% → 10%, +4 points. Inside the 13-point floor: within noise.6% → 10%
MangoApps10%0%33accepted challenger▲+4Since October 2026: 6% → 10%, +4 points. Inside the 13-point floor: within noise.6% → 10%04
WorkJam8%3%38accepted challenger▲+6Since October 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise.2% → 8%
WorkJam8%3%38accepted challenger▲+6Since October 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise.2% → 8%05
Microsoft 365 for Frontline Workers8%22%41accepted challenger▲+4Since October 2026: 4% → 8%, +4 points. Inside the 13-point floor: within noise.4% → 8%
Microsoft 365 for Frontline Workers8%22%41accepted challenger▲+4Since October 2026: 4% → 8%, +4 points. Inside the 13-point floor: within noise.4% → 8%06
Beekeeper4%12%34accepted challenger=heldSince October 2026: 4% → 4%, ±0 points. Inside the 13-point floor: within noise.4% → 4%
Beekeeper4%12%34accepted challenger=heldSince October 2026: 4% → 4%, ±0 points. Inside the 13-point floor: within noise.4% → 4%07Connecteam2%30%40criticized challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise.4% → 2%
Connecteam2%30%40criticized challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise.4% → 2%Show the six products at 0%, ordered by negative rate
13
WhatsApp Lab in the set0%100%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
WhatsApp Lab in the set0%100%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%10
Firstup0%16%19accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Firstup0%16%19accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%11
Flip0%7%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Flip0%7%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%09
Workvivo0%7%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Workvivo0%7%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%08
YOOBIC0%0%21accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
YOOBIC0%0%21accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%12
Speakap0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Speakap0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%The floor is 13 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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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.
WhatsApp is made by Meta, whose model Llama 4 Maverick and Muse Glimmer 30B is in the set. On the four share prompts that model made it the first choice zero times of 8; the other twelve models zero times of 48. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-one head-to-head pages: the top seven products, each against each
Connecteam vs DeputyConnecteam vs MangoAppsConnecteam vs WorkvivoBeekeeper vs BlinkBeekeeper vs PebbBeekeeper vs DeputyBeekeeper vs MangoAppsBeekeeper vs WorkvivoBlink vs PebbBlink vs DeputyBlink vs MangoAppsBlink vs WorkvivoPebb vs DeputyPebb vs MangoAppsPebb vs WorkvivoDeputy vs MangoAppsDeputy vs WorkvivoMangoApps vs Workvivo
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 →
01020304050607080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Staffbase33%
Staffbase33%02Blink20%
Blink20%03MangoApps10%
MangoApps10%04WorkJam8%
WorkJam8%05Microsoft 365 for Frontline Workers8%
Microsoft 365 for Frontline Workers8%06Beekeeper4%
Beekeeper4%07Connecteam2%
Connecteam2%08YOOBIC0%
YOOBIC0%09Workvivo0%
Workvivo0%10Firstup0%
Firstup0%11Flip0%
Flip0%12Speakap0%
Speakap0%13WhatsApp0%
WhatsApp0%What they warned about
Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and Muse Glimmer 30B 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.
WhatsApp100%
10 of 10 labels negative · 10 of 14 models · 10 hard negative
“Consumer apps like WhatsApp/WeChat-style tools can create privacy, security, and compliance risk because they may lack the management, retention, audit, and control features enterprises need.” GPT-5.4 mini, negative prompt
Telegram100%
8 of 8 labels negative · 8 of 14 models · 8 hard negative
“consumer-grade messaging apps like WhatsApp, Signal, and Telegram, as they are not suited for the workplace and can pose security risks” Muse Glimmer 30B, negative prompt
Facebook Messenger100%
7 of 7 labels negative · 7 of 14 models · 7 hard negative
“NatWest Group blocked WhatsApp, Facebook Messenger, and Skype on company devices specifically to eliminate non-compliant communication.” DeepSeek V4 Flash, negative prompt
Signal
100%
7 of 7 labels negative · 7 of 14 models · 7 hard negative
“consumer-grade messaging apps like WhatsApp, Signal, and Telegram, as they are not suited for the workplace and can pose security risks” Muse Glimmer 30B, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
77 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. 930 links across 238 sites, every framing counted. Ranked by the number of answers carrying the site or page. 24 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · MangoApps53 answers · 117 citations · 13 models
34 answers · 40 citations · 14 models
vendor site · Oak32 answers · 39 citations · 12 models
vendor site · G222 answers · 26 citations · 10 models
22 answers · 22 citations · 11 models
vendor site · Staffbase20 answers · 31 citations · 13 models
18 answers · 34 citations · 9 models
vendor site · Yourco18 answers · 28 citations · 10 models
vendor site · AgilityPortal17 answers · 19 citations · 10 models
vendor site · Guideflow15 answers · 19 citations · 8 models
vendor site · Rework14 answers · 19 citations · 9 models
vendor site · GitHub12 answers · 18 citations · 7 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.
42 answers · 12 models
23 answers · 10 models
16 answers · 11 models
15 answers · 8 models
14 answers · 10 models
13 answers · 9 models
11 answers · 8 models
10 answers · 7 models
9 answers · 6 models
9 answers · 7 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 frontline employee communication app”, “frontline apps”, “frontline employee communication app”. 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 |
|---|---|---|---|---|---|---|---|---|
| Staffbase staffbase.com | 33% | 184 | 1,900 | 46 | 36,256 | 44 | ||
| Blink joinblink.com | 20% | 173 | 201,000 | 96,479 | 17,400 | 4 | 8 | |
| MangoApps mangoapps.com | 10% | 75 | 720 | 3 | 8,205 | $241 | 22 | |
| WorkJam workjam.com | 8% | 68 | 18,100 | 357 | 12,126 | 3 | ||
| Microsoft 365 for frontline microsoft.com Microsoft 365 for Frontline Workers 8% | 8% | 85 | 90 | 7 | 145,358,109 | $12,455 | 103 | |
| LumApps lumapps.com Beekeeper 4%, LumApps 0% | 4% | 86 | 74,000 | 10,293 | 26,580 | $158 | 44 | |
| UKG Workforce Central ukg.com UKG Pro Workforce Management 2%, UKG Workforce Central 2% | 4% | 267 | 720 | 4 | 310,168 | $11,996 | 120 | |
| Connecteam connecteam.com | 2% | 693 | 49,500 | 288 | 312,449 | $13,504 | 120 | 2 |
| Oak oak.com Oak Engage 2% | 2% | 22 | 70 | 3 | ||||
| WorkForce Software workforce.com | 2% | 44 | 1,000 | 162 | 349,603 | 0 |
Google's top ten for the three searches hold 22 sites; 1 of them are among the sites the models cited here (joinblink.com). The first result for “best frontline employee communication app” 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 frontline employee communication app for an enterprise B2B company?”Paraphrase“Which deskless workforce app would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade frontline apps and how do they differ?”Budget-constrained“What is the best frontline employee communication app 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 a frontline employee communication app. What should we look at?”Negative“Which frontline apps should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Blink, Oak Engageno first choiceChangedMangoAppsBlinkagainst: Firstup, Staffbaseno first choiceagainst: Frontline Education, Microsoft 365 for Frontline Workers, Slack
Three alternatives
Firstup, Poppulo, StaffbaseThree alternatives
Blink, Staffbase, UKG Pro Workforce ManagementOne alternative
ConnecteamGPT-5.4 miniStaffbaseMicrosoft 365 for Frontline WorkersChangedno first choiceBlinkagainst: Connecteam, Microsoft 365 for Frontline Workers, Slackno first choiceagainst: WeChat, WhatsApp
Two alternatives
WorkJam, WorkvivoFour alternatives
MangoApps, Staffbase, UKG Pro Workforce Management, Workday MobileSix alternatives
Flip, Microsoft 365 for Frontline Workers, Unily, Viva Connections, WorkJam, goHappyOne alternative
StaffbaseGemini 3.5 FlashStaffbaseWorkJamChangedBlink, StaffbaseMicrosoft 365 for Frontline Workers, StaffbaseStaffbaseagainst: Microsoft 365 for Frontline Workersagainst: SMS, Signal, Telegram, WeChat, WhatsApp, iMessage
Five alternatives
Beekeeper, Blink, Firstup, Microsoft 365 for Frontline Workers, Zello WorkFour alternatives
Beekeeper, Blink, Connecteam, Microsoft 365 for Frontline WorkersFour alternatives
Connecteam, Microsoft 365 for Frontline Workers, WorkJam, ZelloThree alternatives
Blink, Connecteam, WorkJamThree alternatives
Beekeeper, Connecteam, WorkvivoPerplexity SonarStaffbaseagainst: ConnecteamStaffbaseHeldFirstup, Staffbaseagainst: ConnecteamStaffbaseno first choiceagainst: Beekeeper, Blink, Connecteam, Facebook Messenger, Flip, Haiilo, Microsoft 365 for Frontline Workers, Signal, Simpplr, Slack, Telegram, Unily, WhatsApp, Workvivo, iMessage
Two alternatives
Blink, WorkJamThree alternatives
Blink, MangoApps, WorkForce SoftwareThirteen alternatives
Beekeeper, Blink, Deputy, MangoApps, Microsoft 365, Microsoft 365 for Frontline Workers, Quinyx, Skedulo, WorkJam, Workforce.com, YOOBIC, Yourco, goHappyOne alternative
ConnecteamGrok 4.20Beekeeperagainst: Connecteam, Microsoft 365 for Frontline Workers, SlackBeekeeperHeldagainst: Connecteam, Microsoft 365 for Frontline Workers, Microsoft VivaMangoAppsStaffbaseagainst: Beekeeper, Connecteamno first choiceagainst: Facebook Messenger, Microsoft 365 for Frontline Workers, Skype, Slack, WhatsApp, iMessage
Three alternatives
MangoApps, Staffbase, WorkJamTwo alternatives
Staffbase, WorkJamSix alternatives
Beekeeper, Connecteam, Firstup, Staffbase, Workvivo, YOOBICTwo alternatives
Blink, WorkJamMistral SmallMangoApps, StaffbaseUKG Workforce Central, WorkForce SoftwareChangedno first choiceMangoAppsno first choiceagainst: Dropbox personal, Facebook Messenger, Gmail, Google Drive, Telegram, WhatsApp, iMessage
One alternative
BlinkThree alternatives
Microsoft 365 for Frontline Workers, Oak Engage, Quinyx Employee HubTwo alternatives
Blink, StaffbaseDeepSeek V4 FlashStaffbaseagainst: Beekeeper, WorkJamUKG Pro Workforce ManagementChangedWorkJam, YOOBICagainst: ConnecteamMicrosoft 365 for Frontline Workersagainst: Connecteam, Firstup, Staffbase, Yourcono first choiceagainst: Connecteamagainst: Facebook Messenger, Signal, Skype, Telegram, WhatsApp, iMessage
Two alternatives
Blink, WorkvivoFour alternatives
Blink, MangoApps, Sona, WorkJamSeven alternatives
Blink, MangoApps, Microsoft 365 for Frontline Workers, Quinyx, Staffbase, Workvivo, Zebra ReflexisThree alternatives
Beekeeper, Blink, WorkJamLlama 4 MaverickAgilityPortal, Blink, StaffbaseSkeduloChangedno first choiceno first choiceno first choicenothing named
Four alternatives
Deputy, Oracle Fusion Deskless Workforce, Shiftboard, WorkForce SoftwareQwen 3.7 FlashStaffbaseConnecteamChangedWorkJamBlinkagainst: Firstupno first choiceagainst: SharePoint
Three alternatives
Beekeeper, Blink, ConnecteamThree alternatives
Deputy, Microsoft Viva, UKG Pro Workforce ManagementFour alternatives
Beekeeper, Connecteam, Staffbase, YOOBICOne alternative
StaffbaseKimi K2Staffbaseagainst: BeekeeperWorkJamChangedno first choiceBlink, MangoAppsagainst: Staffbaseno first choiceagainst: 302.ai, Asana, ChatGPT, Claude, Dropbox, Gemini, Gmail, Google Drive, Microsoft 365 for Frontline Workers, Notion, OneDrive, OpenRouter, Outlook.com, Poe, Signal, Slack, Telegram, TikTok, Trello, TypingMind, Viber, WeTransfer, WhatsApp, Yahoo Mail, iCloud
One alternative
WorkJamOne alternative
MangoAppsSix alternatives
Blink, Microsoft 365 for Frontline Workers, Staffbase, WorkJam, YOOBIC, ZiplineGLM 4.7 FlashXWorkJamagainst: StaffbaseWorkJamHeldConnecteam, WorkJamMicrosoft 365 for Frontline Workersno first choiceagainst: Facebook Messenger, Personal Gmail / other personal email accounts, Signal, Telegram, WhatsApp
Three alternatives
Blink, MangoApps, Microsoft VivaSix alternatives
Connecteam, Deputy, MangoApps, Oracle Fusion Deskless Workforce, SAP Deskless Worker Experience, UKG Workforce CentralThirteen alternatives
Beekeeper, Blink, HubEngage, LumApps, MangoApps, Microsoft 365 for Frontline Workers, Oak Engage, Quinyx Employee Hub, Staffbase, Truein, YOOBIC, Zebra Reflexis, goHappyTwo alternatives
Haystack, YOOBICMiniMax M2.5MangoAppsServiceNow Field Service ManagementChangedagainst: Connecteamno first choiceBlinkagainst: Microsoft 365 for Frontline Workersno first choiceagainst: BeReal, Facebook Messenger, Signal, Telegram, TikTok, WhatsApp
Three alternatives
Oak Engage, Staffbase, WorkJamThree alternatives
MangoApps, UKG Pro Workforce Management, WorkForce SoftwareOne alternative
BeekeeperGPT-6 LunaStaffbaseStaffbaseHeldno first choiceBlinkagainst: Connecteamno first choicenothing named
Three alternatives
Beekeeper, Firstup, Microsoft 365 for Frontline WorkersThree alternatives
Blink, Microsoft 365 for Frontline Workers, ShiftsTen alternatives
Beekeeper, Blink, Firstup, Legion, LumApps, Microsoft 365 for Frontline Workers, Staffbase, UKG Pro Workforce Management, WorkJam, YOOBICOne alternative
WorkJam Frontline ConnectMuse Glimmer 30BBlink, StaffbaseMangoAppsChangedno first choiceBlinkno first choiceagainst: Facebook Messenger, Signal, Skype, Telegram, WhatsApp, iMessage, personal Gmail accounts
Seven alternatives
Beekeeper, Connecteam, LumApps, MangoApps, WorkJam, Workvivo, YOOBICNine alternatives
Beekeeper, Blink, Dayforce, Humand, NICE IEX, Quinyx, Sona, Staffbase, UKG Workforce CentralFifteen alternatives
Beekeeper, Blink, Dayforce, Deputy, LumApps, Microsoft 365 for Frontline Workers, Microsoft Viva Engage, Quinyx Employee Hub, Skedulo, Staffbase, UKG Pro / UKG Ready, WorkJam, Workday, Workforce.com, Zebra ReflexisTwo alternatives
MangoApps Communications & Intranet, Microsoft 365 for Frontline WorkersBold 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.
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 | 2026-11-01 08:57 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:52 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:40 | yes | 9 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 09:31 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:30 | yes | 5 | 31 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:06 | yes | 5 | 24 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:06 | yes | 23 | 30 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:46 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:43 | yes | 9 | 27 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:48 | yes | 13 | 25 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:50 | yes | 24 | 178 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:37 | yes | 9 | 28 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:06 | yes | 3 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:04 | yes | 13 | 23 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:29 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:28 | yes | 5 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:13 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 10:09 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:04 | yes | 10 | 36 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:47 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:17 | yes | 23 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:38 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:17 | no | 0 | 29 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:02 | yes | 13 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:24 | yes | 24 | 26 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:12 | yes | 9 | 62 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:04 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:42 | yes | 13 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:04 | yes | 16 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:32 | yes | 4 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:25 | yes | 13 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 10:45 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:24 | yes | 5 | 36 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:04 | yes | 8 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:09 | yes | 21 | 36 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:47 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:25 | yes | 10 | 32 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:58 | yes | 13 | 60 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:34 | yes | 22 | 245 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:26 | yes | 5 | 21 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:34 | yes | 8 | 28 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:16 | yes | 20 | 43 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:42 | yes | 17 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:12 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:10 | yes | 6 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:24 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:15 | yes | 20 | 37 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:39 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:52 | yes | 25 | 34 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:37 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:00 | yes | 20 | 96 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:54 | yes | 24 | 51 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:46 | yes | 25 | 23 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:03 | yes | 15 | 57 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:15 | yes | 3 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:34 | yes | 24 | 28 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:31 | yes | 18 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:45 | yes | 4 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:53 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 11:10 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:26 | yes | 10 | 34 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:29 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:54 | yes | 22 | 41 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:39 | yes | 5 | 5 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:01 | yes | 10 | 46 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:50 | yes | 25 | 30 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:47 | yes | 20 | 35 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:44 | no | 0 | 26 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:31 | yes | 4 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:10 | yes | 12 | 33 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:45 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:15 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:51 | no | 0 | 19 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 08:57 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:15 | yes | 14 | 28 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:53 | yes | 15 | 9 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:14 | yes | 23 | 36 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:43 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:30 | yes | 5 | 24 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:40 | yes | 23 | 74 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:41 | yes | 14 | 39 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:28 | yes | 13 | 67 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:27 | yes | 4 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:43 | yes | 22 | 29 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
Ceridian Dayforce read as Dayforce
Microsoft 365 F3 read as Microsoft 365 for Frontline Workers
Microsoft 365 F3 (or F1) read as Microsoft 365 for Frontline Workers
Microsoft 365 F3/F1 read as Microsoft 365 for Frontline Workers
Microsoft Teams read as Microsoft 365 for Frontline Workers
Microsoft Teams (F1 / F3 Licenses) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline / F-Licenses) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline / F1 & F3 Licenses) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline Worker Edition / M365 F1) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline Worker Licenses – F1/F3) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline) read as Microsoft 365 for Frontline Workers
Microsoft Teams Frontline read as Microsoft 365 for Frontline Workers
Microsoft Teams for Frontline read as Microsoft 365 for Frontline Workers
Microsoft Teams for Frontline Workers read as Microsoft 365 for Frontline Workers
Teams read as Microsoft 365 for Frontline Workers
UKG read as UKG Pro Workforce Management
UKG (Ultimate / Pro) read as UKG Pro Workforce Management
UKG (Ultimate Kronos Group) read as UKG Pro Workforce Management
UKG Pro read as UKG Pro Workforce Management
Unresolved, counted raw
302.ai
BeReal
BlueWing
Element
Humanforce
Microsoft 365 F1
OpenRouter
Outlook.com
Personal Gmail / other personal email accounts
Poe
Rotaready
SAP Deskless Worker Experience (via WorkForce Software)
ServiceNow Field Service Management
Truein
TypingMind
Viber
WeTransfer
WorkJam Frontline Connect
WorkSkedge
Workday Mobile
Yahoo Mail
Zello Work
iCloud
iTacit
Discontinued, still offered
No shut-down product was recommended here.