AI Indexes
GTM AI Index
Index › Products › AdOpt · October 2026 Edition
1 category · Named, not ranked

AdOpt

12Judge labels
1First choices
2Negative labels
8 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. AdOpt was named 4 times in Consent, where Osano led with 31%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In consent · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named AdOpt for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Consent and privacy managementGTM data and infrastructure0%23 of 520%4under 10 labels · led by Osano at 31%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, AdOpt held within the floor in its one category: no change cleared 11 points.

Best category · Consent · by segment

Small business▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 13 → 8 of 38
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 21 → 24 of 45
EnterprisenewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 32 of 40, unchanged

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Consent0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 21 → 23 of 52

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated AdOpt across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000101
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500101
GPT-6 Luna00000
Muse Glimmer 30B00101

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct1 labelNone
Paraphrase3 labels1
Comparative4 labels1not counted in share
Budget-constrained2 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative12 labels in all, every segment counted; 1 of the 2 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

No positive label carried a quote.

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as AdOpt, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and AdOpt was named but was not.
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ProductSame answerTook the first choice insteadHead to head
CookieYes10 of 126Not among the top eight
CookieScript8 of 121Not among the top eight
Osano8 of 121Not among the top eight
iubenda8 of 120Not among the top eight
Cookiebot7 of 122Not among the top eight
Termly7 of 121Not among the top eight
Didomi5 of 120Not among the top eight
OneTrust4 of 122Not among the top eight
Ketch4 of 121Not among the top eight
consentmanager4 of 121Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named AdOpt. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 12 of the 12 answers that named AdOpt and are not a share of its labels.

Domains cited

learn.g2.com10
enzuzo.com9
osano.com8
cookie-script.com7
g2.com7
reform.app7
usercentrics.com7
consently.net6
designrush.com6
comparitech.com4

Seventy-one of the seventy-one domain citations in answers naming AdOpt came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

What it publishes

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Addresses on adoptkit.com
122
subdomains included
Content
107
counted in the table below
Documentation
0
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog8202025-12-16Digital adoption, Product analytics
Comparison1902025-12-06
Template or tool302025-11-25
Glossary or explainer202025-11-18
News or press102025-12-03
How it is countedHide how it is counted

Every page adoptkit.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.

Follow AdOpt

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

AdOpt is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
Expert resources for product managers building better user onboarding. Guides on product tours, activation strategies, digital adoption platforms, and product-led growth.
For
Product Managers at SaaS Companies
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting, customers

What AdOpt's own pages state, read October 5, 2026: adoptkit.com. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when AdOpt's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as AdOpt, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for AdOpt by email, built from the raw record of the edition. It shows:

  • where AdOpt is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name AdOpt, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.

A verification link goes to your work email; an address at adoptkit.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.