Osano vs CookieYes
Six of fourteen models named Osano first on the direct prompt; zero named CookieYes. Osano was named by thirteen of the fourteen models and CookieYes by fourteen and Osano carries 48 labels and CookieYes 27, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen modelsCookieYes
Across every category in the October 2026 Edition, Osano and CookieYes were named in the same answer forty-two times, of the 114 answers naming Osano and the 92 naming CookieYes. In those answers CookieYes took the first choice fifteen times and Osano four.
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 4.20 | | | | | | |
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | |
Osano CookieYes first choice named as an alternative argued againstblank: not namedEach cell is one answer, Osano on the left and CookieYes on the right.The direct prompt
Osano first, CookieYes not the choice
6 of 14 modelsCookieYes was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 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
CookieYes46%#1 of 12Osano4%#6 of 12Osano31%#1 of 13CookieYes16%#2 of 13What the models said about Osano
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Skip this if you're budget-conscious – it’s excellent but not wallet-friendly.” DeepSeek V4 Flash · budget prompt · soft negative
“Strong focus on US regulations, but less flexible for mid-market” GLM 4.7 FlashX · paraphrase prompt · soft negative
“Osano: Best Overall ("Set-and-Forget" & Non-Technical Teams) Osano is widely considered the gold standard for mid-market compliance.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Osano — best overall for US mid-market B2B with automation ... Osano is most often cited as the fastest defensible path” Muse Glimmer 30B · direct prompt · first choice
“Osano and Reform.app are the top choices due to their scalability, automation, and strong compliance features” Mistral Small · paraphrase prompt · first choice
What the models said about CookieYes
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“"limited feature set makes it a poor fit for mid-market and enterprise" — likely too thin” DeepSeek V4 Flash · paraphrase prompt · hard negative
“For very limited budgets, CookieYes or consentmanager.net offer the best balance of features and free tier limits.” MiniMax M2.5 · budget prompt · first choice
“CookieYes stands out as the most practical choice for small businesses because it is described as budget-friendly” Perplexity Sonar · budget prompt · first choice
“For a simple WordPress site with the lowest cost of entry, CookieYes free up to 5k pageviews is the most cited.” Muse Glimmer 30B · budget 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.