Two of fourteen models named PostHog first on the direct prompt; one named Contentsquare. PostHog was named by fourteen of the fourteen models and Contentsquare by twelve and PostHog carries 37 labels and Contentsquare 21, so the shares are not directly comparable.
Named in seven categories this edition.
Paris, France, founded 2008. Named in six 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.
| 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 | ||||||
| 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. Three of three in this category shown.
“PostHog does offer data scrubbing features, but I was recently surprised to see their announcement about integrating AI to analyze session replays on behalf of users. This raises a red flag” Muse Glimmer 30B · negative prompt · soft negative
“If you enable network capture, scrutinize it separately from replay masking: requests and responses can contain sensitive headers or bodies” GPT-6 Luna · negative prompt · soft negative
“I'd generally recommend PostHog if you want the best balance of visitor behavior analytics, product analytics, and session replay in one place” GPT-5.4 mini · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Heavy enterprise pricing and complexity; overkill for most mid-market needs” Kimi K2 · direct prompt · hard negative
“enterprise tools only if you need deeper product analytics, governance, or enterprise workflows, because they're generally much more expensive” GPT-5.4 mini · budget prompt · soft negative
“without paying the $50k+ annual contract values required by enterprise-only suites (like FullStory or Contentsquare)” Gemini 3.5 Flash · direct prompt · soft negative
“my default recommendation is Contentsquare if you want the most complete, scalable experience-analytics platform” GPT-5.4 mini · direct prompt · first choice
“Go with FullStory or Contentsquare for deep session replay and journey analytics.” GLM 4.7 FlashX · comparative prompt · first choice
“The sweet spot is usually FullStory, Contentsquare, or LogRocket” DeepSeek V4 Flash · scale 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.