AI Indexes
GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index › Customer › 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 software company. 60 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
30%
Contested · UserGuiding 22%
30Userpilot22UserGuiding13Whatfix35others

30% of first choices, contested.

Since September 2026▼−2Since September 2026: 29% → 27%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.Userpilot held the lead, −2 points on 29%, inside the 12-point floor.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Userpilot30%12%49endorsed leader▼−2Since September 2026: 29% → 27%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.29% → 27%
02UserGuiding22%7%41accepted challenger▼−2Since September 2026: 21% → 19%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.21% → 19%
03Whatfix13%39%56criticized challenger▲+1Since September 2026: 15% → 15%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.15% → 15%
04Pendo8%33%60criticized challenger▼−1Since September 2026: 10% → 10%, −1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.10% → 10%
05Appcues5%14%42accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 4%
06Tango3%0%10accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 4%
07Chameleon2%5%19accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 2%
08Userlane2%7%15accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%
09Apty2%7%15accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%
Show the two products at 0%, ordered by negative rate
11WalkMe0%57%56criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
10Product Fruits0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%

The floor is 12 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. 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 ten head-to-head pages: the top five 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
01Userpilot30%
02UserGuiding22%
03Whatfix13%
04Pendo8%
05Appcues5%
06Tango3%
07Chameleon2%
08Userlane2%
09Apty2%
10Product Fruits0%
11WalkMe0%

What they warned about

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.
Whatfix
39%
22 of 56 labels negative · 13 of 6 models · 2 hard negative
“WalkMe and Whatfix are frequently cited as platforms to approach with caution due to their limitations and cost.” Mistral Small, negative prompt
WalkMe
57%
32 of 56 labels negative · 12 of 6 models · 6 hard negative
“**WalkMe & Whatfix (Traditional DAPs)** - **Why avoid/caution:** These platforms are often criticized for offering shallow analytics, limited segmentation” Mistral Small, negative prompt
Pendo
33%
20 of 60 labels negative · 10 of 6 models · 3 hard negative
“Skip Pendo unless your product team desperately needs a deep "system of record" for product analytics” Gemini 3.5 Flash, paraphrase prompt
Userpilot
12%
6 of 49 labels negative · 6 of 6 models · 1 hard negative
“Avoid "Product-Led Growth" Onboarding Tools (e.g., Appcues, Userflow, Chameleon, Userpilot)” Gemini 3.5 Flash, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the six in this edition.

Sites the answers cite

78 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 936 links across 166 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.

vendor site · Userpilot48 answers · 73 citations · 13 models
vendor site · Guideflow36 answers · 53 citations · 10 models
36 answers · 38 citations · 12 models
vendor site · Pendo31 answers · 32 citations · 12 models
30 answers · 62 citations · 14 models
vendor site · Appcues30 answers · 44 citations · 12 models
vendor site · Apty30 answers · 41 citations · 12 models
vendor site · Chameleon23 answers · 30 citations · 11 models
vendor site · Whatfix22 answers · 30 citations · 12 models
vendor site · Gartner21 answers · 21 citations · 10 models
vendor site · UserGuiding20 answers · 33 citations · 10 models
vendor site · WalkMe20 answers · 23 citations · 12 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.com30%2511,6001062,0846
UserGuiding userguiding.com22%16339009,8192
Whatfix whatfix.com13%1732,4006531,568$29,894543
Pendo pendo.io8%42012,10076119,185$3,609935
Appcues appcues.com5%2261,9002618,5062
Tango tango.ai3%36301,00021,33667,29142
HelpHero helphero.co3%74800
Chameleon chameleon.io2%86246,00024,2934,26801
Userlane userlane.com2%392102327
Apty apty.ai2%481,900803,07710

Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (chameleon.io, gartner.com, 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 Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
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. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

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
AppLearn
Chameleon.io
Frudge
Pendo.io
Torch
Discontinued, still offered
No shut-down product was recommended here.
← HelpdeskIn-app messaging →