GTM AI Index
Index Customer Digital adoption › Enterprise September 2026 Edition

Digital adoption and onboarding for enterprise buyers

Asked as “digital adoption platform”, and as “in-product onboarding and user guidance tool”, on behalf of an enterprise B2B company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing
Contested
39% 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.

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01WalkMe39%20%60endorsed leader
02Whatfix26%12%59accepted challenger
03Pendo11%26%54criticized challenger
04Apty9%0%35accepted challenger
05Userlane2%20%20accepted challenger
06Userpilot2%55%29criticized challenger
Show the three products at 0%, ordered by negative rate
09UserGuiding0%64%11criticized challenger
08Appcues0%44%27criticized challenger
07Spekit0%25%12criticized challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

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
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01WalkMe39%
02Whatfix26%
03Pendo11%
04Apty9%
05Userlane2%
06Userpilot2%
07Spekit0%
08Appcues0%
09UserGuiding0%

02What they warned about

Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 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.
Userpilot
55%
16 of 29 labels negative · 8 of 12 models · 11 hard negative
“risky bets for large enterprises... Built for product-led SaaS growth, not enterprise-scale internal adoption.” DeepSeek V4 Flash, negative prompt
Pendo
26%
14 of 54 labels negative · 8 of 12 models · 6 hard negative
“Built for **product analytics** (customer-facing), not employee process execution across enterprise systems” Mistral Small, negative prompt
Appcues
44%
12 of 27 labels negative · 7 of 12 models · 8 hard negative
“Platforms like Appcues, UserGuiding, and Userpilot serve the SMB and mid-market well but lack critical enterprise capabilities” Kimi K2, negative prompt
WalkMe
20%
12 of 60 labels negative · 7 of 12 models · 1 hard negative
“**I would avoid WalkMe** for your specific need” DeepSeek V4 Flash, budget prompt

03What they cite

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

Sites the answers cite

23 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. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 206 links across 77 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 · Whatfix14 answers · 17 citations · 3 models
vendor site · Userpilot11 answers · 11 citations · 3 models
vendor site · Gartner9 answers · 11 citations · 3 models
vendor site · Guideflow8 answers · 13 citations · 2 models
8 answers · 9 citations · 2 models
vendor site · Apty7 answers · 10 citations · 2 models
vendor site · WalkMe7 answers · 8 citations · 3 models
vendor site · Lemon Learning6 answers · 7 citations · 2 models
vendor site · Appcues5 answers · 5 citations · 3 models
5 answers · 5 citations · 3 models
vendor site · Pendo5 answers · 5 citations · 2 models
vendor site · Tango5 answers · 5 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.

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best digital adoption platform for an enterprise B2B company?”Paraphrase“Which in-product onboarding and user guidance tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade digital adoption platforms and how do they differ?”Budget-constrained“What is the best digital adoption platform 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 digital adoption platform. What should we look at?”Negative“Which digital adoption platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choice
Five alternativesGainsight PX, Pendo, Spekit, WalkMe, Whatfix
PendoChanged
Three alternativesGUIDEcx, OnRamp, WalkMe
WalkMe, Whatfix
Three alternativesLemon Learning, Pendo, Userlane
Lemon Learning
Two alternativesWalkMe, Whatfix
no first choicenothing named
GPT-5.4 miniWalkMe
Two alternativesPendo, Whatfix
WalkMeHeld
Two alternativesPendo, Whatfix
against: Appcues, Userpilot
Pendo, WalkMe, Whatfix
Two alternativesApty, Oracle Guided Learning
WalkMe
One alternativeWhatfix
no first choicenothing named
Gemini 3.5 FlashWhatfix
Seven alternativesAppcues, Apty, Gainsight PX, Pendo, Tango, Userpilot, WalkMe
Pendo, WalkMeChanged
Two alternativesAppcues, Whatfix
WalkMe, Whatfix
Three alternativesApty, Pendo, Spekit
Lemon Learning
One alternativeApty
against: Appcues, Pendo, Userpilot, WalkMe, Whatfix
no first choiceagainst: Appcues, Chameleon, Guidde, Pendo, Scribe, Tango, UserGuiding, Userflow, Userpilot, WalkMe
Perplexity SonarWalkMe
Two alternativesPendo, Whatfix
WalkMeHeld
Two alternativesPendo, Whatfix
against: Userpilot
Pendo, WalkMe, Whatfix
Two alternativesOracle Guided Learning, SAP Enable Now
Userflow
Three alternativesPendo, WalkMe, Whatfix
no first choiceagainst: Appcues, Guideflow, HelpHero, Hopscotch, Navattic, ProductFruits, Storylane, Userflow, Userpilot
Grok 4.1 FastWalkMe, Whatfix
One alternativePendo
WalkMeChanged
Two alternativesPendo, Whatfix
against: Appcues, UserGuiding, Userpilot
WalkMe, Whatfix
Three alternativesApty, Pendo, Userlane
Apty, Whatfix
One alternativeWalkMe
against: Appcues, Pendo, Userpilot
WalkMe
One alternativeWhatfix
against: Pendo, Userpilot
against: Chameleon, Pendo, Spekit, UserGuiding, Userlane, VisualSP, WalkMe, Whatfix
Mistral SmallWalkMe
Three alternativesPendo, Userpilot, Whatfix
PendoChanged
Three alternativesAppcues, Userpilot, WalkMe
WalkMe, Whatfix
Three alternativesApty, Oracle Guided Learning, Pendo
against: SAP Enable Now
Whatfix
Two alternativesApty, WalkMe
against: Appcues, Pendo, UserGuiding, Userpilot
no first choiceagainst: Appcues, Guidde, Oracle Guided Learning, Pendo, SAP Enable Now, Spekit, Tango, Userlane, Userpilot, WalkMe, Whatfix
DeepSeek V4 FlashPendo
One alternativeWhatfix
against: WalkMe
WhatfixChanged
Two alternativesPendo, WalkMe
WalkMe
Three alternativesApty, Pendo, Whatfix
against: Userlane
Apty
One alternativeWhatfix
against: Appcues, Pendo, Userpilot, WalkMe
WalkMe, Whatfix
Two alternativesApty, Userlane
against: Pendo
against: Gainsight PX, HelpHero, Hopscotch, ProductFruits, Spekit, Tango, Userflow, Userpilot, WalkMe, Whatfix
Llama 4 MaverickJimo
Two alternativesGuideflow, Whatfix
no first choiceChangedWhatfix
Four alternativesTango, UserGuiding, Userpilot, WalkMe
no first choiceno first choicenothing named
Qwen 3.7 FlashPendo, WalkMe
Three alternativesAppcues, Apty, Whatfix
WalkMeChanged
Three alternativesAppcues, Pendo, Whatfix
WalkMe
Three alternativesMindTickle, Sana Solutions, Whatfix
Whatfix
One alternativeApty
against: WalkMe
no first choiceagainst: Pendo, UserGuiding, Userlane, Userpilot, WalkMe, Whatfix
Kimi K2Apty, Whatfix
Two alternativesPendo, WalkMe
WalkMe, WhatfixChanged
One alternativePendo
against: Appcues, UserGuiding, Userpilot
Pendo, WalkMe, Whatfix
Two alternativesApty, Userlane
Apty
Four alternativesInline Manual, Lemon Learning, Spekit, Userlane
against: Appcues, Pendo, Userpilot, WalkMe, Whatfix
WalkMe, Whatfix
Two alternativesApty, Pendo
against: Appcues, Oracle Guided Learning, Pendo, SAP Enable Now, UserGuiding, Userpilot, WalkMe, Whatfix
GLM 4.7 FlashXWalkMe
Three alternativesPendo, Userpilot, Whatfix
WalkMeHeld
Two alternativesPendo, Whatfix
WalkMe
Five alternativesApty, Assima, Pendo, Userlane, Whatfix
Inline Manual
Two alternativesWalkMe, Whatfix
against: Pendo
no first choicenothing named
MiniMax M2.5WalkMe, Whatfix
Four alternativesAppcues, Apty, Pendo, Tango
UserpilotChanged
Three alternativesPendo, WalkMe, Whatfix
WalkMe, Whatfix
Two alternativesApty, Pendo
Userlane, Whatfix
One alternativeApty
against: WalkMe
no first choiceagainst: AppLearn, Chameleon, Oracle Guided Learning, Pendo, SAP Enable Now, Salesforce Trailhead
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 00:18yes67 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:57yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:31yes1323 s
Direct recommendationPerplexity Sonarsonar2026-09-15 04:00yes207 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 00:58yes08 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-15 00:25yes08 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-14 23:54yes038 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-14 23:41yes01 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:50yes036 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:05yes039 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 02:52yes0120 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 01:04yes024 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:21yes88 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:25yes44 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-15 03:10yes1118 s
ParaphrasePerplexity Sonarsonar2026-09-15 04:10yes205 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-14 23:08yes08 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-14 23:56no04 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-14 23:34yes042 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 03:51yes01 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:49yes036 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-15 00:01yes032 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 22:53yes014 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-14 23:08yes020 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 23:42yes1310 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:05yes24 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-15 03:57yes2326 s
ComparativePerplexity Sonarsonar2026-09-14 23:58yes208 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 03:47yes06 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-15 01:53yes09 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 03:51yes020 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:26yes02 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:42no051 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-15 00:57yes031 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 05:02yes025 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 02:20yes021 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 02:04yes148 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-14 23:35yes25 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:35yes1924 s
Budget constrainedPerplexity Sonarsonar2026-09-15 00:36yes206 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 03:31yes010 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 04:04yes011 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 01:18yes021 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:15yes01 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:33yes031 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 02:38yes054 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 03:32yes041 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-14 23:30yes047 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 04:00yes1620 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-14 23:41no011 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 04:26yes1323 s
Scale constrainedPerplexity Sonarsonar2026-09-15 03:54yes207 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 00:04yes07 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 03:33no011 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 01:20yes042 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:38yes03 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-14 23:15no029 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:48yes060 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:23yes027 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:24yes023 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:49yes168 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:25yes55 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-15 00:54yes2225 s
Negative framingPerplexity Sonarsonar2026-09-14 23:04yes178 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 01:05yes013 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-15 04:19yes010 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 04:53yes072 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:29yes01 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 01:48yes040 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:41yes073 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 01:31yes023 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:03yes038 s

Normalization in this category

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

Category-scoped readings
None. Every name in this category resolved on its own.
Unresolved, counted raw
AppLearn
Sana Solutions
Supered
Discontinued, still offered
No shut-down product was recommended here.
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