GTM AI Index
Index Vendors › Secure Privacy · September 2026 Edition
1 category · Ranked

Secure Privacy

37Judge labels
3First choices
2Negative labels
10 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
4% in Consent for enterprise buyers
Rank 14 of 39 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 11 labels there were negative.
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 Secure Privacy 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 rateLabelsQuadrant
Consent and privacy managementGTM data and infrastructure0%14 of 390%11accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Secure Privacy yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Secure Privacy across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast02103
Mistral Small01001
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K210001
GLM 4.7 FlashX01102
MiniMax M2.501102

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
Direct7 labels2
Paraphrase0 labelsNone
Comparative8 labelsNone
Budget-constrained4 labels1
Scale-constrained7 labelsNone
Negative11 labels2not counted in share
First choiceAlternativeMentionNegative37 labels in all, every segment counted; 3 of the 5 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.

“Highest ratings (4.9/5), transparent pricing, full governance suite” Kimi K2 · Consent · negative prompt · first choice
“Test via trials (e.g., Enzuzo, Ketch, Secure Privacy score higher: 4.6–4.9/5)” Grok 4.1 Fast · Consent · negative prompt · alternative
“Better-rated options mentioned in research include ... Secure Privacy” MiniMax M2.5 · Consent · negative prompt · alternative
“Budget-conscious: Secure Privacy or Usercentrics” Mistral Small · Consent · comparative prompt · alternative

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 Secure Privacy, over the 37 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Secure Privacy was named but was not.
ProductSame answerTook the first choice insteadHead to head
OneTrust35 of 3713Not in the top three
Cookiebot28 of 373Not in the top three
TrustArc27 of 370Not in the top three
Osano25 of 372Not in the top three
Usercentrics23 of 371Not in the top three
Didomi21 of 370Not in the top three
Ketch20 of 377Not in the top three
CookieYes18 of 375Not in the top three
Enzuzo11 of 372Not in the top three
consentmanager10 of 370Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Secure Privacy. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 37 answers that named Secure Privacy and are not a share of its labels.

Domains cited

didomi.io2
enzuzo.com2
expertinsights.com2
osano.com2
secureprivacy.aiYour site2
comparitech.com1
consently.net1
cookieyes.com1
elementor.com1
ethyca.com1

Thirteen of the fifteen domain citations in answers naming Secure Privacy came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Secure Privacy

What the judge wrote, as written, with how often. The vendor table decides that these count as Secure Privacy; a claim can dispute any of them.
CookieYes/Secure Privacy 1Secure Privacy / Consently 1
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 Secure Privacy'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 Secure Privacy, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at secureprivacy.ai is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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