November 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › GTM › Customer › Digital adoption · November 2026 Edition

Digital adoption and onboarding

Asked as “digital adoption platform”, and as “in-product onboarding and user guidance tool”, on behalf of a mid-market B2B company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
39%
Contested · Whatfix 13%
39Userpilot13Whatfix11UserGuiding37others

39% of first choices, contested.

Since October 2026▲+9Since October 2026: 30% → 39%, +9 points. Inside the 11-point floor: within noise.Userpilot held the lead, +9 points on 30%, 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.

The standing

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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Userpilot39%4%46endorsed leader▲+9Since October 2026: 30% → 39%, +9 points. Inside the 11-point floor: within noise.30% → 39%
02Whatfix13%32%62criticized challenger=heldSince October 2026: 13% → 13%, ±0 points. Inside the 11-point floor: within noise.13% → 13%
03UserGuiding11%11%28accepted challenger▼−11Since October 2026: 22% → 11%, −11 points. Past the 11-point floor: movement.22% → 11%
04Pendo7%30%66criticized challenger▼−1Since October 2026: 8% → 7%, −1 point. Inside the 11-point floor: within noise.8% → 7%
05Chameleon4%10%21accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise.2% → 4%
06Appcues2%9%47accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%
07Product Fruits2%11%18accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
08Tango2%10%10accepted challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 11-point floor: within noise.3% → 2%
09WalkMe2%52%58criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Show the two products at 0%, ordered by negative rate
11Apty0%8%13accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
10Userlane0%0%17accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 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 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.
All twenty-eight head-to-head pages: the top eight products, each against each

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 →
01
02
03
04
05
06
07
08
09
10
11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Userpilot39%
02Whatfix13%
03UserGuiding11%
04Pendo7%
05Chameleon4%
06Appcues2%
07Product Fruits2%
08Tango2%
09WalkMe2%
10Userlane0%
11Apty0%

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, Grok 4.20, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX, 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.
WalkMe
52%
30 of 58 labels negative · 12 of 14 models · 7 hard negative
“Avoid enterprise-heavy tools like WalkMe or Pendo unless you qualify for discounts; they're powerful but not budget-optimized.” Grok 4.20, budget prompt
Pendo
30%
20 of 66 labels negative · 11 of 14 models · 4 hard negative
“Tools I'd Skip for Mid-Sized B2B: Pendo | Heavy enterprise focus; expensive; complex for mid-market needs” Kimi K2, paraphrase prompt
Whatfix
32%
20 of 62 labels negative · 10 of 14 models · 5 hard negative
“Avoid enterprise-focused platforms like WalkMe and Whatfix if you're on a limited budget” Kimi K2, budget prompt
Appcues
9%
4 of 47 labels negative · 4 of 14 models
“Appcues if your user count may grow quickly or budget is tight | G2 reviews include concerns about costs scaling with monthly active users.” GPT-6 Luna, 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

71 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. 838 links across 164 sites, every framing counted. Ranked by the number of answers carrying the site or page. 16 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 · Userpilot37 answers · 66 citations · 13 models
30 answers · 48 citations · 12 models
vendor site · WalkMe29 answers · 51 citations · 12 models
vendor site · Guideflow21 answers · 27 citations · 8 models
vendor site · Capterra20 answers · 35 citations · 8 models
vendor site · Chameleon18 answers · 22 citations · 9 models
vendor site · Whatfix17 answers · 29 citations · 11 models
vendor site · Pendo17 answers · 20 citations · 11 models
vendor site · Supered17 answers · 19 citations · 10 models
vendor site · UserGuiding15 answers · 20 citations · 8 models
vendor site · Capterra15 answers · 18 citations · 8 models
vendor site · Software Advice14 answers · 17 citations · 8 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.

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 digital adoption platform”, “digital adoption platform”. 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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Userpilot userpilot.com39%2471,6001062,0846
Whatfix whatfix.com13%1782,4006531,568$29,894543
UserGuiding userguiding.com11%11139009,8192
Pendo pendo.io7%40912,10076119,185$3,609935
ScreenSpace7%
Chameleon chameleon.io4%73246,00024,2934,26801
Appcues appcues.com2%1981,9002618,5062
Product Fruits productfruits.com2%814802346,52110
Tango tango.ai2%46301,00021,33667,29142
Spekit spekit.com2%1001,900153,062$8633

Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (chameleon.io, pendo.io, walkme.com, whatfix.com). The first result for “best digital adoption platform” is chameleon.io.

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
ModelDirect“What is the best digital adoption platform for a mid-market B2B company?”Paraphrase“Which in-product onboarding and user guidance tool would you recommend to a mid-sized B2B company?”Comparative“What are the top digital adoption platforms and how do they differ?”Budget-constrained“What is the best digital adoption platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a digital adoption platform. What should we look at?”Negative“Which digital adoption platforms should I avoid or be cautious about?”
Claude Haiku 4.5Whatfix
Four alternativesPendo, UserGuiding, Userlane, Userpilot
AppcuesChanged
Two alternativesOnRamp, Userpilot
Pendo
Two alternativesWalkMe, Whatfix
no first choice
Two alternativesAppcues, Pendo
no first choiceagainst: Pendo, WalkMe, Whatfix
GPT-5.4 miniPendo
Two alternativesWalkMe, Whatfix
UserpilotChanged
Five alternativesAppcues, Pendo, Product Fruits, WalkMe, Whatfix
no first choiceUserGuiding
Three alternativesProduct Fruits, Tango, Userpilot
no first choicenothing named
Gemini 3.5 FlashUserpilot, Whatfix
Three alternativesAppcues, Pendo, Tango
against: WalkMe
UserpilotChanged
Three alternativesAppcues, Chameleon, Whatfix
against: Pendo, WalkMe
WalkMe
Five alternativesAppcues, Apty, Pendo, Userpilot, Whatfix
UserGuiding
Five alternativesDriver.js, HelpHero, Intro.js, Product Fruits, Tango
against: Pendo, WalkMe, Whatfix
no first choice
Six alternativesPendo, Spekit, Stonly, Userlane, WalkMe, Whatfix
against: Appcues, Chameleon
against: WalkMe, Whatfix
Perplexity SonarUserpilot
One alternativePendo
against: WalkMe, Whatfix
UserpilotHeld
Four alternativesAppcues, Chameleon, Pendo, UserGuiding
WalkMe, Whatfix
Seven alternativesAppcues, Apty, Oracle Guided Learning, Pendo, Tango, UserGuiding, Userpilot
UserGuiding
Four alternativesHelpHero, Pendo, Produktly, Tango
against: WalkMe, Whatfix
no first choiceagainst: Apty, Pendo, WalkMe, Whatfix
Grok 4.20Whatfix
Two alternativesPendo, Userpilot
against: Product Fruits, WalkMe
UserpilotChanged
Three alternativesAppcues, Pendo, UserGuiding
against: Intercom, WalkMe, Whatfix
WalkMe
Four alternativesAppcues, Pendo, UserGuiding, Whatfix
Tango
Three alternativesGuideflow, Product Fruits, UserGuiding
against: Pendo, WalkMe, Whatfix
no first choice
Five alternativesAppcues, Pendo, UserGuiding, WalkMe, Whatfix
against: Appcues, Pendo, Userpilot, WalkMe, Whatfix
Mistral SmallWalkMe, Whatfix
Two alternativesChameleon, Userlane
UserpilotChanged
Three alternativesAppcues, Pendo, Userflow
no first choiceHopscotch, ScreenSpace
Three alternativesCommandBar, UserGuiding, Userlane
no first choiceagainst: UserGuiding, WalkMe, Whatfix
DeepSeek V4 FlashUserpilot
Three alternativesAppcues, Chameleon, Whatfix
against: Pendo
UserpilotHeld
Five alternativesAppcues, Chameleon, GUIDEcx, Rocketlane, UserGuiding
against: Pendo, WalkMe
WalkMe
Seven alternativesAppcues, Apty, Gainsight PX, Pendo, Userlane, Userpilot, Whatfix
Product Fruits
Two alternativesScreenSpace, Whatfix
against: Chameleon, UserGuiding, Userpilot
no first choiceagainst: Pendo, WalkMe, Whatfixagainst: Pendo, WalkMe, Whatfix
Llama 4 MaverickUserpilot
Two alternativesCustify, Skalin
no first choiceChangedno first choiceSupademo
Three alternativesAppcues, UserGuiding, Userpilot
against: WalkMe
no first choicenothing named
Qwen 3.7 FlashWhatfix
Three alternativesAppcues, Pendo, Workset
UserpilotChanged
Two alternativesAppcues, Chameleon
WalkMe
Five alternativesGainsight PX, Pendo, Userlane, Userpilot, Whatfix
Chameleon
Five alternativesCommandBar, InAppStory, ScreenSpace, Tango, UserGuiding
against: WalkMe
Whatfix
One alternativeUserlane
against: WalkMe
against: Pendo, WalkMe
Kimi K2Userpilot
Three alternativesAppcues, Userlane, Whatfix
against: Pendo, WalkMe
UserpilotHeld
Two alternativesAppcues, Chameleon
against: Pendo, WalkMe, Whatfix
WalkMe, Whatfix
Five alternativesAppcues, Apty, Pendo, Userlane, Userpilot
Shepherd.js
Four alternativesPendo, Product Fruits, UserGuiding, Usetiful
against: WalkMe, Whatfix
no first choiceagainst: Oracle Guided Learning, Pendo, Salesforce In-App Guidance, WalkMe
GLM 4.7 FlashXUserGuiding
Three alternativesJimo, Product Fruits, Whatfix
against: WalkMe
UserpilotChanged
One alternativeAppcues
against: Gainsight PX, Pendo, WalkMe, Whatfix
no first choiceScreenSpace
Four alternativesChameleon, Floik, Pendo, UserGuiding
against: Whatfix
no first choiceagainst: Pendo, WalkMe, Whatfix
MiniMax M2.5Chameleon
Four alternativesAppcues, Product Fruits, Userpilot, Whatfix
UserpilotChanged
Two alternativesAppcues, Whatfix
against: Pendo
WalkMe
Four alternativesAppcues, Pendo, Userpilot, Whatfix
Pendo
Two alternativesProduct Fruits, Trainn
no first choicenothing named
GPT-6 LunaUserpilot
Two alternativesPendo, Whatfix
UserpilotHeld
Two alternativesChameleon, Pendo
WalkMe, Whatfix
Two alternativesAppcues, Pendo
Pendo, UserGuiding
One alternativeUserpilot
no first choiceagainst: Appcues, Pendo, Product Fruits, Tango, UserGuiding, WalkMe, Whatfix
Muse Glimmer 30BProduktly, Spekit
Six alternativesPendo, Product Fruits, Supered, Userpilot, WalkMe, Whatfix
UserpilotChanged
Two alternativesAppcues, UserGuiding
against: Pendo
WalkMe, Whatfix
Five alternativesAppcues, Lemon Learning, Pendo, Userlane, Userpilot
ScreenSpace
Seven alternativesCommandBar, Frigade Engage, InAppStory, Pendo, ProductFruits, Produktly, UserGuiding
against: WalkMe, Whatfix
no first choiceagainst: Appcues, Pendo, WalkMe, Whatfix
Bold 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.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 14:21yes97 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:06yes28 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 14:30yes1323 s
Direct recommendationPerplexity Sonarsonar2026-11-01 10:46yes104 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:16yes1313 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 12:58yes524 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:16yes2329 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:00yes63 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:51no027 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 13:13yes1830 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 11:25yes2180 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:06yes851 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 14:56yes312 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 14:07yes1220 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 15:09yes99 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 16:26yes65 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:14no013 s
ParaphrasePerplexity Sonarsonar2026-11-01 14:51yes104 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:45yes516 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 12:01yes57 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 13:36yes1824 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 12:07yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 14:05no031 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:20yes1922 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 16:06yes25335 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 09:35yes2588 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 14:15yes218 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 15:47yes1319 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:28yes98 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:33yes46 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:48yes1022 s
ComparativePerplexity Sonarsonar2026-11-01 14:34yes106 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 14:07yes1017 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 09:50yes88 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 13:12yes2138 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 14:53yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:39yes2252 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 17:33yes1447 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 10:01yes14119 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:14yes2047 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 10:56yes620 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 15:16yes1423 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:36no05 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 14:58yes24 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 11:02yes918 s
Budget constrainedPerplexity Sonarsonar2026-11-01 14:52yes106 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:11yes2516 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 11:11yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:23yes2526 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:31yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 13:28yes516 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 14:03yes2026 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 17:11yes1450 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:29yes930 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 13:57yes417 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 09:32yes1322 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:20no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:44no07 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:37no016 s
Scale constrainedPerplexity Sonarsonar2026-11-01 11:48yes108 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:48yes514 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 13:15no06 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 11:08yes2436 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:17yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:46no032 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 12:16yes1321 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:28yes1454 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:52no025 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 17:11yes314 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 13:51yes1222 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 09:08yes188 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 15:18yes510 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:12no015 s
Negative framingPerplexity Sonarsonar2026-11-01 13:54yes105 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:12yes1518 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 17:11yes56 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 08:43yes2523 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 14:08yes85 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 12:59no031 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 12:40yes2551 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 15:19yes2593 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 15:38no020 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 10:18yes317 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 09:36yes1520 s

Normalization in this category

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

ShowHide
Category-scoped readings
None. Every name in this category resolved on its own.
Unresolved, counted raw
Amplitude Guides and Surveys
AppLearn
Candu
Cornerstone Guide
Frigade Engage
Guides.ai
Intercom Product Tours
Workset
Discontinued, still offered
No shut-down product was recommended here.
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