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Consent and privacy management · September 2026 Edition

iubenda vs Termly

Zero of twelve models named iubenda first on the direct prompt; zero named Termly. iubenda was named by twelve of the twelve models and Termly by eleven and iubenda carries 23 labels and Termly 18, so the shares are not directly comparable.

iubenda

accepted challenger

Italy. Named in one category this edition.

Termly

accepted challenger

Named in one category this edition.

First-choice share6%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%22%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 15; printed, not drawn.
Labels2318A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, iubenda reading right to left. Rank and label count are printed, not drawn.Osano was named alongside these two in ten of the twelve direct answers. Enzuzo vs iubenda · Enzuzo vs Termly · Osano vs iubenda

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the consent and privacy management page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
iubendaFirst choices, of twelve modelsTermly
Direct001 against Termly
Paraphrase301 against iubenda · 2 against Termly
Comparative00
Budget-constrained031 against Termly
Scale-constrained00
Negative001 against iubenda
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, iubenda and Termly were named in the same answer twenty-four times, of the 50 answers naming iubenda and the 60 naming Termly. In those answers Termly took the first choice four times and iubenda three.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where iubenda and Termly stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
iubenda Termly first choice named as an alternative argued againstblank: not namedEach cell is one answer, iubenda on the left and Termly on the right.

The direct prompt

The plain question, one answer per model, grouped by where iubenda and Termly stood in it.

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallEnzuzo alternatives: Ketch, Osano, Termly, Usercentrics
Kimi K2Enzuzo, Osano alternatives: CookieYes, Cookiebot, Usercentrics CMP, iubenda

Neither was named

10 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniOsano alternatives: TrustArc
Gemini 3.5 FlashOsano alternatives: Ketch, Usercentrics
Perplexity SonarEnzuzo alternatives: Cookiebot, OneTrust, Osano, Usercentrics
Grok 4.1 FastEnzuzo alternatives: CookieYes, Osano, Secure Privacy, Usercentrics
DeepSeek V4 FlashOsano alternatives: Enzuzo
Llama 4 MaverickOsano alternatives: Enzuzo
Qwen 3.7 FlashOsano alternatives: Secure Privacy, Usercentrics
GLM 4.7 FlashXEnzuzo, Usercentrics alternatives: CookieYes, Osano
MiniMax M2.5Cookiebot, Enzuzo alternatives: OneTrust, TrustArc

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Termly leads by two points.
Termly12%#2 of 12
iubenda10%#4 of 12
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
iubenda6%#5 of 15
Termly6%#6 of 15
The full mid-market standing →
Enterprise
Level: the same share of first choices.
iubenda0%#– of 8
Termly0%#– of 8
The full enterprise standing →

What the models said about iubenda

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“good add-on docs, but scales poorly multi-domain” Grok 4.1 Fast · paraphrase prompt · soft negative
“iubenda - Uses US cloud services” Mistral Small · negative prompt · soft negative
“I'd generally recommend iubenda if you want cookie consent plus broader privacy compliance in one platform” GPT-5.4 mini · paraphrase prompt · first choice
“My Top Pick for Mid-Sized B2B: Iubenda is often the "sweet spot."” Qwen 3.7 Flash · paraphrase prompt · first choice
“## Top Recommendation: iubenda” Claude Haiku 4.5 · paraphrase prompt · first choice

What the models said about Termly

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“What to Avoid at Your Size - Termly / CookieYes — Fine for small businesses, but per-domain pricing and feature ceilings” DeepSeek V4 Flash · paraphrase prompt · hard negative
“basic plugins (like Termly or CookieYes) lack the multi-jurisdiction geo-targeting, automated workflows, and CRM integrations” Gemini 3.5 Flash · paraphrase prompt · soft negative
“This makes Termly risky for a business that cannot afford downtime in compliance.” Qwen 3.7 Flash · budget prompt · soft negative
“Complianz for WordPress or Termly for a general small business site” GPT-5.4 mini · budget prompt · first choice
“1. Termly ⭐ Best Overall Free Choice” Mistral Small · budget prompt · first choice
“Termly ⭐ Best Overall Value” Kimi K2 · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.