# Monsido vs AudioEye: which do AI models recommend for website governance, October 2026

GTM AI Recommendation Index, October 2026 Edition, Website governance and accessibility. Two of fourteen models named Monsido first on the direct prompt; zero named AudioEye. Page: https://gtm-ai-index.com/marketing/website-governance-and-accessibility/monsido-vs-audioeye/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Monsido | 3% | #5 of 13 | 13% | 15 | 11 of 14 |
| AudioEye | 3% | #8 of 13 | 44% | 25 | 12 of 14 |

## The direct prompt, model by model

- Llama 4 Maverick: monsido first (first choices: Monsido, Silktide)
- MiniMax M2.5: monsido first (first choices: Monsido, Silktide) (alternatives: Accessible Web RAMP, Siteimprove)
- Gemini 3.5 Flash: neither first, one named (first choices: Silktide) (alternatives: Acquia Web Governance, DubBot, Monsido)
- Grok 4.1 Fast: neither first, one named (first choices: Acquia Web Governance) (alternatives: AudioEye, Level Access, Silktide, Siteimprove)
- GLM 4.7 FlashX: neither first, one named (first choices: Siteimprove) (alternatives: AudioEye, Silktide, UserWay)
- Muse Glimmer 30B: neither first, one named (first choices: Siteimprove) (alternatives: Acquia Web Governance, Monsido, Silktide)
- Claude Haiku 4.5: neither named (first choices: Acquia Web Governance) (alternatives: DubBot, Silktide, Siteimprove)
- GPT-5.4 mini: neither named (first choices: Acquia Web Governance) (alternatives: DubBot, Silktide, Siteimprove, accessiBe)
- Perplexity Sonar: neither named (first choices: Siteimprove) (alternatives: Acquia Web Governance, PowerMapper)
- Mistral Small: neither named (first choices: Acquia Web Governance, Silktide) (alternatives: Siteimprove)
- DeepSeek V4 Flash: neither named (first choices: Acquia Web Governance) (alternatives: Silktide)
- Qwen 3.7 Flash: neither named (first choices: Siteimprove Quality Assurance) (alternatives: Deque axe Platform, Sudo)
- Kimi K2: neither named (first choices: Acquia Web Governance, Siteimprove) (alternatives: Silktide)
- GPT-6 Luna: neither named (first choices: Silktide) (alternatives: Acquia Web Governance, Siteimprove)

## What the models said about Monsido

- "Enterprise-only pricing ... not ideal for small sites or organizations that need broader standards coverage" (GLM 4.7 FlashX, negative prompt, soft negative)
- "Some complaints on speed/accuracy, but enterprise-grade." (Grok 4.1 Fast, negative prompt, soft negative)
- "Monsido - a website management tool that automates finding and fixing accessibility, content, branding and style, compliance, SEO, privacy, and speed issues." (Llama 4 Maverick, direct prompt, first choice)
- "I'd recommend Silktide or Monsido/Acquia as your top contenders" (MiniMax M2.5, direct prompt, first choice)
- "e.g., Deque Axe, WAVE, Siteimprove, Pope Tech, or Monsido" (Gemini 3.5 Flash, negative prompt, first choice)

## What the models said about AudioEye

- "court rulings (such as in *LightHouse v. ADP*) have explicitly stated that overlay solutions do not constitute adequate accessibility fixes under the law" (Qwen 3.7 Flash, negative prompt, hard negative)
- "Similar overlay issues; involved in lawsuits where it was cited as a barrier, not a fix." (Grok 4.1 Fast, negative prompt, hard negative)
- "AudioEye - One of the overlay platforms that has appeared in lawsuit data" (MiniMax M2.5, negative prompt, hard negative)
- "AudioEye - Best for managed remediation plus monitoring for SMB to mid-market teams." (Llama 4 Maverick, paraphrase prompt, first choice)
- "Best Overall Recommendation: AudioEye" (Claude Haiku 4.5, paraphrase prompt, first choice)
- "strong if you want active monitoring and some automatic fixes, but it still benefits from expert testing alongside automation" (Perplexity Sonar, paraphrase 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.