# Mouseflow vs LogRocket: which do AI models recommend for session replay, October 2026

GTM AI Recommendation Index, October 2026 Edition, Session replay and heatmaps. Two of fourteen models named Mouseflow first on the direct prompt; zero named LogRocket. Page: https://gtm-ai-index.com/gtm-data/session-replay-and-heatmaps/mouseflow-vs-logrocket/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Mouseflow | 5% | #5 of 10 | 20% | 41 | 13 of 14 |
| LogRocket | 3% | #6 of 10 | 26% | 42 | 14 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: mouseflow first (first choices: Mouseflow) (alternatives: Hotjar)
- GPT-5.4 mini: mouseflow first (first choices: Contentsquare, Mouseflow) (alternatives: LogRocket)
- Gemini 3.5 Flash: neither first, one named (first choices: Pendo) (alternatives: LogRocket, Mouseflow, PostHog)
- Perplexity Sonar: neither first, one named (first choices: Fullstory) (alternatives: Hotjar, LogRocket)
- Grok 4.1 Fast: neither first, one named (first choices: Hotjar) (alternatives: LogRocket, Microsoft Clarity, Mouseflow)
- DeepSeek V4 Flash: neither first, one named (first choices: PostHog) (alternatives: Hotjar, LogRocket, Microsoft Clarity, Mouseflow)
- Qwen 3.7 Flash: neither first, one named (first choices: Hotjar) (alternatives: LogRocket, Matomo)
- Kimi K2: neither first, one named (first choices: Hotjar) (alternatives: LogRocket, Mouseflow, Smartlook)
- GLM 4.7 FlashX: neither first, one named (first choices: Hotjar) (alternatives: Crazy Egg, Fullstory, Microsoft Clarity, Mouseflow)
- Mistral Small: neither named (first choices: Hotjar, Lucky Orange) (alternatives: Fullstory, PostHog, UXCam)
- Llama 4 Maverick: neither named (first choices: Smartlook) (alternatives: Adobe Analytics, Fullstory)
- MiniMax M2.5: neither named (first choices: Mixpanel) (alternatives: Fullstory, PostHog, UXCam)
- GPT-6 Luna: neither named (first choices: PostHog) (alternatives: Fullstory, Hotjar)
- Muse Glimmer 30B: neither named (first choices: Fullstory) (alternatives: Contentsquare, Heap, Hotjar, Microsoft Clarity, PostHog, VWO)

## What the models said about Mouseflow

- "Similar recording patterns; part of the group facing CIPA (California Invasion of Privacy Act) complaints" (Kimi K2, negative prompt, hard negative)
- "variable consent handling and sampling bias from opt-in requirements. EU scrutiny on replay depth." (Grok 4.1 Fast, negative prompt, hard negative)
- "avoid or exercise extreme caution with Hotjar, FullStory, Mouseflow, LogRocket, and Smartlook" (Mistral Small, negative prompt, hard negative)
- "Mouseflow if you want a simpler, usually cheaper tool that still covers both session replay and heatmaps well" (GPT-5.4 mini, direct prompt, first choice)
- "Mouseflow is widely cited as the best value for mid-market teams." (Claude Haiku 4.5, direct prompt, first choice)
- "My Top Recommendation: Mouseflow" (Kimi K2, paraphrase prompt, first choice)

## What the models said about LogRocket

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.