Osano vs iubenda
Six of twelve models named Osano first on the direct prompt; zero named iubenda. Both were named by all twelve models and Osano carries 42 labels and iubenda 23, so the shares are not directly comparable.
Named in one category this edition.
Italy. Named in one category this edition.
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
OsanoFirst choices, of twelve modelsiubenda
Across every category in the September 2026 Edition, Osano and iubenda were named in the same answer twenty-nine times, of the 114 answers naming Osano and the 50 naming iubenda. In those answers iubenda took the first choice five times and Osano one.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | |
Osano iubenda first choice named as an alternative argued againstblank: not namedEach cell is one answer, Osano on the left and iubenda on the right.The direct prompt
Osano first, iubenda an alternative
6 of 12 modelsiubenda was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.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
Osano19%#2 of 15iubenda6%#5 of 15What the models said about Osano
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Osano: Free plan is limited, Plus plan starts at $239.99/month” GLM 4.7 FlashX · budget prompt · hard negative
“if you're a larger, more heavily regulated organization... but they're usually more than a mid-sized B2B company needs” GPT-5.4 mini · paraphrase prompt · soft negative
“more enterprise-oriented, but sometimes worth comparing if you need stronger compliance workflows” GPT-5.4 mini · budget prompt · soft negative
“Why I'd lean Osano for many mid-market B2B firms: it explicitly positions itself as best for midsize businesses prioritizing automation in consent management” GPT-5.4 mini · direct prompt · first choice
“The best consent management platform for a mid-market B2B company is Osano, as it is best for mid-market teams scaling into a full privacy program” Llama 4 Maverick · direct prompt · first choice
“Osano: *Highly recommended for mid-market.* It is incredibly easy to set up, highly automated, and includes built-in DSAR management.” Gemini 3.5 Flash · scale prompt · first choice
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
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.