September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › GTM › Customer › Digital adoption · September 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. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
29%
Contested · UserGuiding 21%
29Userpilot21UserGuiding15Whatfix35others

29% of first choices, contested.

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 twelve models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Userpilot29%10%41accepted challenger
02UserGuiding21%5%38accepted challenger
03Whatfix15%37%46criticized challenger
04HelpHero10%0%10accepted challenger
05Pendo10%36%53criticized challenger
06Appcues6%7%41accepted challenger
07Userlane2%12%16accepted challenger
08Apty2%24%21accepted challenger
Show the three products at 0%, ordered by negative rate
11WalkMe0%65%48criticized challenger
10Chameleon0%7%15accepted challenger
09Tango0%6%17accepted challenger
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% negative40%
Key
01Userpilot29%
02UserGuiding21%
03Whatfix15%
04HelpHero10%
05Pendo10%
06Appcues6%
07Userlane2%
08Apty2%
09Tango0%
10Chameleon0%
11WalkMe0%

What they warned about

Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Grok 4.20, 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.
WalkMe
65%
31 of 48 labels negative · 12 of 12 models · 12 hard negative
“WalkMe — Highest Risk for Most Organizations ... carry the highest risk profiles for cost overruns, implementation failures, and vendor lock-in” Kimi K2, negative prompt
Pendo
36%
19 of 53 labels negative · 10 of 12 models · 9 hard negative
“you will want to avoid heavy enterprise Digital Adoption Platforms (DAPs) like WalkMe, Whatfix, and Pendo” Gemini 3.5 Flash, budget prompt
Whatfix
37%
17 of 46 labels negative · 9 of 12 models · 5 hard negative
“you will want to avoid heavy enterprise Digital Adoption Platforms (DAPs) like WalkMe, Whatfix, and Pendo” Gemini 3.5 Flash, budget prompt
Userpilot
10%
4 of 41 labels negative · 4 of 12 models · 1 hard negative
“If your product has a mobile version, you should avoid Userpilot” Gemini 3.5 Flash, negative prompt

What they cite

Four of the twelve models returned a source list in this edition: four return the pages they cited.

Sites the answers cite

22 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 269 links across 87 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.

vendor site · Userpilot16 answers · 18 citations · 4 models
vendor site · Guideflow11 answers · 16 citations · 3 models
vendor site · Appcues11 answers · 14 citations · 4 models
vendor site · Whatfix10 answers · 12 citations · 4 models
vendor site · Pendo9 answers · 10 citations · 3 models
vendor site · WalkMe8 answers · 9 citations · 3 models
7 answers · 7 citations · 3 models
vendor site · Tango7 answers · 7 citations · 3 models
vendor site · Gartner6 answers · 6 citations · 3 models
vendor site · Jimo6 answers · 6 citations · 3 models
vendor site · Apty5 answers · 12 citations · 3 models
vendor site · Reddit5 answers · 8 citations · 2 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.com29%2471,6001062,0846
UserGuiding userguiding.com21%11139009,8192
Whatfix whatfix.com15%1782,4006531,568$29,894543
HelpHero helphero.co10%104800
Pendo pendo.io10%40912,10076119,185$3,609935
Appcues appcues.com6%1981,9002618,5062
Userlane userlane.com2%432102327
Apty apty.ai2%431,900803,07710
Usetiful usetiful.com2%6
OnRamp onramp.us2%5214,80075013,0680

Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (gartner.com, pendo.io, reddit.com, 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.
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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 4.5Userpilot
Two alternativesPendo, UserGuiding
against: WalkMe
OnRampChanged
Two alternativesArrows, GUIDEcx
no first choiceUserGuiding
Four alternativesAppcues, Hopscotch, Jimo, iorad
no first choicenothing named
GPT-5.4 miniWhatfix
Two alternativesPendo, WalkMe
PendoChanged
Two alternativesAppcues, Userpilot
WalkMe, Whatfix
Five alternativesAppcues, Apty, Chameleon, Pendo, Userpilot
UserGuiding
Two alternativesAppcues, Userpilot
against: Pendo, WalkMe, Whatfix
no first choicenothing named
Gemini 3.5 FlashUserpilot
Four alternativesAppcues, Pendo, Spekit, Whatfix
against: WalkMe
UserpilotHeld
Two alternativesAppcues, Userflow
against: Pendo, UserGuiding, WalkMe, Whatfix
no first choice
Eight alternativesAppcues, Apty, Guidde, Pendo, Tango, Userpilot, WalkMe, Whatfix
UserGuiding
Six alternativesGuidde, Intro.js, Produktly, React Joyride, Tango, Usetiful
against: Pendo, WalkMe, Whatfix
Whatfix
Seven alternativesAppcues, Chameleon, Spekit, Tango, Userflow, Userlane, Userpilot
against: Pendo, WalkMe
against: Appcues, Pendo, UserGuiding, UserIQ, Userpilot, WalkMe, Whatfix
Perplexity SonarUserpilot
Four alternativesAppcues, Chameleon, Pendo, Whatfix
UserpilotHeld
Three alternativesAppcues, UserGuiding, Userflow
against: Pendo
no first choiceHelpHero, UserGuiding
One alternativeProduct Fruits
against: Pendo, WalkMe, Whatfix
no first choiceagainst: HowdyGo
Grok 4.20Appcues, UserGuiding, Userpilot
Three alternativesApty, Pendo, Tango
against: WalkMe, Whatfix
UserpilotChanged
One alternativeAppcues
no first choiceHelpHero, UserGuiding
Three alternativesGuideflow, Pendo, Tango
no first choiceagainst: Apty, Pendo, WalkMe, Whatfix
Mistral SmallUserpilot
Five alternativesAppcues, Product Fruits, Spekit, UserGuiding, Userlane
UserpilotHeld
Three alternativesAppcues, Dock, UserGuiding
against: Pendo
WalkMe, Whatfix
Five alternativesAppcues, Apty, Pendo, UserGuiding, Userpilot
HelpHero
Five alternativesHopscotch, Pendo, ProductFruits, ScreenSpace, UserGuiding
no first choiceagainst: Apty, Pendo, Userlane, WalkMe, Whatfix
DeepSeek V4 FlashWhatfix
Four alternativesAppcues, Pendo, Userlane, Userpilot
against: Apty, WalkMe
UserpilotChanged
Three alternativesAppcues, Chameleon, Userflow
against: Pendo, WalkMe
WalkMe, Whatfix
Seven alternativesAppcues, Apty, Pendo, Spekit, Tango, UserGuiding, Userpilot
UserGuiding
Seven alternativesCommandBar, HelpHero, Hopscotch, Intro.js, ProductFruits, ScreenSpace, Userflow
against: Apty, Pendo, WalkMe, Whatfix
Apty, Userlane, Whatfixagainst: Userpilot, WalkMeagainst: Apty, Pendo, WalkMe, Whatfix
Llama 4 MaverickUserpilot
Three alternativesAppcues, Apty, UserGuiding
no first choiceChangedno first choiceUserGuiding
Two alternativesHelpHero, StepsKit
no first choiceagainst: Oxperience, Pendo, WalkMe
Qwen 3.7 FlashUserpilot
Three alternativesAppcues, UserGuiding, Whatfix
AppcuesChanged
Three alternativesPendo, Product Fruits, UserGuiding
WalkMe
Two alternativesPendo, Whatfix
Whatfix
Three alternativesAppVider, Ilium, Pendo
against: WalkMe
Whatfix
One alternativeContently
against: WalkMe
against: WalkMe
Kimi K2Pendo
Five alternativesAppcues, Chameleon, Userlane, Userpilot, Whatfix
against: WalkMe
UserpilotChanged
Three alternativesChameleon, UserGuiding, Userflow
against: Appcues, Pendo, WalkMe, Whatfix
WalkMe, Whatfix
Six alternativesAppcues, Apty, Pendo, Spekit, UserGuiding, Userpilot
Pendo, Usetiful
Four alternativesAmplitude, Flook, Fullstory, PostHog
against: Chameleon, Spekit, Userlane, WalkMe, Whatfix
Pendo, Whatfix
One alternativeApty
against: WalkMe
against: Pendo, Userpilot, WalkMe, Whatfix
GLM 4.7 FlashXPendo
Two alternativesUserlane, Whatfix
against: WalkMe
UserGuidingChanged
Five alternativesAppcues, Chameleon, Stonly, Userflow, Userpilot
no first choice
Five alternativesAppcues, Pendo, Userlane, WalkMe, Whatfix
HelpHero
Four alternativesHopscotch, Pendo, UserGuiding, Usetiful
no first choiceagainst: Appcues, Pendo, Userpilot, WalkMe, Whatfix
MiniMax M2.5Userpilot
Four alternativesAppcues, Chameleon, Pendo, Whatfix
against: WalkMe
AppcuesChanged
Two alternativesChameleon, Pendo
against: WalkMe, Whatfix
WalkMe
Seven alternativesAppcues, Apty, Pendo, Tango, UserGuiding, Userpilot, Whatfix
HelpHero, UserGuiding
Five alternativesHopscotch, Pendo, Product Fruits, Shepherd.js, Tour Kit
against: Pendo, WalkMe, Whatfix
no first choiceagainst: Pendo, Tango, 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.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 04:19yes87 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 04:50yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:25yes1925 s
Direct recommendationPerplexity Sonarsonar2026-09-15 05:01yes205 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 01:44yes08 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-15 01:42yes011 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-14 23:03yes030 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 03:50yes02 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:09yes025 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-14 22:55yes026 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 00:46yes012 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 01:22yes017 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 02:45yes98 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 04:05yes35 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:58yes1221 s
ParaphrasePerplexity Sonarsonar2026-09-15 01:27yes206 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 01:58yes09 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-15 00:48yes08 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 00:00yes048 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 03:49yes01 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:47yes024 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:15yes026 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 23:15yes012 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 01:32no09 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 23:00yes911 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:56yes67 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-15 00:07yes924 s
ComparativePerplexity Sonarsonar2026-09-15 00:01yes208 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 00:16yes06 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-14 23:55yes08 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 03:45yes021 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:55yes02 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-14 23:55yes043 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:56yes055 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 23:45yes015 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:17yes060 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 01:30yes78 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-14 23:59yes44 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:53yes1620 s
Budget constrainedPerplexity Sonarsonar2026-09-15 01:46yes205 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 05:04yes07 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-14 23:43yes06 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 00:45yes09 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 03:13yes01 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:01no031 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-14 22:55yes023 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:55yes084 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 00:05yes020 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 02:32no07 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-14 23:10no09 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:07yes1121 s
Scale constrainedPerplexity Sonarsonar2026-09-15 01:25yes209 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 04:56yes08 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 01:59yes016 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 02:15yes040 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:48yes01 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-14 23:16no032 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 04:57yes039 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 00:13yes055 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 01:07yes016 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 04:06yes97 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:48yes46 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-15 02:45yes2022 s
Negative framingPerplexity Sonarsonar2026-09-15 04:37yes206 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 01:02yes07 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-15 04:30yes012 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 03:54yes022 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:03yes02 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 03:59yes048 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:27yes051 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 03:59yes089 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 02:49yes029 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
AppVider
Flook
Ilium
Oxperience
React Joyride
TaskRaven
UserIQ
Discontinued, still offered
No shut-down product was recommended here.
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