Two of fourteen models named Fullstory first on the direct prompt; zero named LogRocket. Both were named by all fourteen models and Fullstory carries 53 labels and LogRocket 42, so the shares are not directly comparable.
Named in four categories this edition.
Named in two 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 October 2026 Edition, Fullstory and LogRocket were named in the same answer 101 times, of the 238 answers naming Fullstory and the 120 naming LogRocket. In those answers LogRocket took the first choice zero times and Fullstory twenty-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 4.1 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. Five of six in this category shown.
“Captures enormous amounts of data; privacy and compliance concerns under GDPR/CCPA; may collect more data than teams can realistically act on” Kimi K2 · negative prompt · hard negative
“Skip FullStory/Quantum Metric: While excellent, these tools are generally priced for large enterprises” Qwen 3.7 Flash · direct prompt · hard negative
“If you need high-fidelity replay + search/queryable session intelligence and SOC2-grade compliance: FullStory.” Muse Glimmer 30B · direct prompt · first choice
“FullStory and PostHog mask all text by default ... the "mask by default" approach is significantly safer” Claude Haiku 4.5 · negative prompt · first choice
“Go with FullStory or Contentsquare for deep session replay and journey analytics.” GLM 4.7 FlashX · comparative 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.
“avoid or exercise extreme caution with Hotjar, FullStory, Mouseflow, LogRocket, and Smartlook” Mistral Small · negative prompt · hard negative
“early versions had PII exposure risks... litigation history warrants review” Grok 4.1 Fast · negative prompt · hard negative
“reviews highlight that it only guarantees that passwords are never recorded. It does not automatically mask other sensitive information” GLM 4.7 FlashX · negative prompt · soft negative
“The sweet spot is usually FullStory, Contentsquare, or LogRocket” DeepSeek V4 Flash · scale prompt · first choice
“LogRocket — If engineering debugging is priority #1” Kimi K2 · scale prompt · first choice
“FullStory / LogRocket: Industry standard for engineers/devs, deeper technical logging (network/XHR), slightly steeper learning curve.” Qwen 3.7 Flash · scale prompt · alternative
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.