Two of fourteen models named Microsoft Clarity first on the direct prompt; five named Hotjar. Both were named by all fourteen models and Microsoft Clarity carries 71 labels and Hotjar 68, so the shares are not directly comparable.
By Microsoft, Vancouver, Canada, founded 1975. Named in six categories this edition.
By Contentsquare, Paris, France, founded 2008. Named in nine categories 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 session replay and heatmaps page.
Across every category in the November 2026 Edition, Microsoft Clarity and Hotjar were named in the same answer 183 times, of the 251 answers naming Microsoft Clarity and the 337 naming Hotjar. In those answers Hotjar took the first choice fourteen times and Microsoft Clarity sixty-one.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Microsoft Clarity began requiring explicit consent for users from the EEA, UK, and Switzerland on October 31, 2025... does not natively respond to the GPC (Global Privacy Control) browser signal” Claude Haiku 4.5 · negative prompt · soft negative
“Microsoft Clarity is a solid, widely used tool with strong default masking. However, because it is 100% free with unlimited recordings” Gemini 3.5 Flash · negative prompt · soft negative
“Free and broad, but its privacy footprint deserves careful review; masking beyond passwords may require CSS selectors” Perplexity Sonar · negative prompt · soft negative
“Best default for a limited budget: Microsoft Clarity. It's free and includes session recordings and click, scroll, and area heatmaps” GPT-6 Luna · budget prompt · first choice
“the best default choice is usually Microsoft Clarity because it's free and includes both session replay and heatmaps” GPT-5.4 mini · budget prompt · first choice
“If you have no budget, go with Microsoft Clarity (free, unlimited recordings, no sampling, built-in heatmaps).” GLM 4.7 FlashX · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Very common but often criticized for broad data capture... Many privacy-focused users block it outright.” Grok 4.20 · negative prompt · hard negative
“Named in active CIPA lawsuits; $5,000 statutory damages per violation possible under California law” Kimi K2 · negative prompt · hard negative
“Documented data exfiltration issues; research found it recorded content beyond input fields” MiniMax M2.5 · negative prompt · hard negative
“Hotjar and Crazy Egg are the category leaders, with Hotjar suited for teams needing comprehensive user behavior analytics with strong heatmaps and session playback” Claude Haiku 4.5 · comparative prompt · first choice
“Hotjar: Strong all-in-one for product/UX teams. Excellent heatmaps, surveys, and easy replays. Great for non-technical users; affordable entry point.” Grok 4.20 · scale prompt · first choice
“For most mid-market B2B companies, Hotjar is the best balance of features, ease of use, and value.” Mistral Small · direct 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.