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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| LogRocket | 3% | #6 of 10 | 26% | 42 | 14 of 14 |
| Contentsquare | 3% | #7 of 10 | 14% | 21 | 12 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: contentsquare 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)
- Muse Glimmer 30B: neither first, one named (first choices: Fullstory) (alternatives: Contentsquare, Heap, Hotjar, Microsoft Clarity, PostHog, VWO)
- Claude Haiku 4.5: neither named (first choices: Mouseflow) (alternatives: Hotjar)
- 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)
- GLM 4.7 FlashX: neither named (first choices: Hotjar) (alternatives: Crazy Egg, Fullstory, Microsoft Clarity, Mouseflow)
- MiniMax M2.5: neither named (first choices: Mixpanel) (alternatives: Fullstory, PostHog, UXCam)
- GPT-6 Luna: neither named (first choices: PostHog) (alternatives: Fullstory, Hotjar)

## 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)

## What the models said about Contentsquare

- "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)

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.