# Adsmurai (adsmurai.com): agent-readiness 64/100, grade C

> Rank 326 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T17:40:39.966Z. Page: https://qomvia.com/site/adsmurai-com  JSON: https://qomvia.com/api/score/adsmurai-com

## Summary

{
  "known": true,
  "confidence": "high",
  "summary": "Adsmurai is a digital marketing company that leverages technology, AI, and data to provide scalable marketing solutions. They focus on improving performance and connecting various marketing efforts for businesses, particularly in areas like paid social, e-commerce, and media management.",
  "offerings": [
    "Digital advertising management (paid social, search, display)",
    "Performance marketing services",
    "E-commerce marketing solutions",
    "Marketing data analytics and insights",
    "AI-powered marketing optimization tools",
    "Omnichannel activation strategies"
  ],
  "audience": "Businesses, particularly those in e-commerce or with significant digital advertising spend, seeking to scale their marketing efforts and improve ROI through advanced technology and data-driven strategies.",
  "geography": "Operates internationally, with a strong presence in Europe (especially Spain) and Latin America.",
  "strengths": [
    "Expertise in paid social and digital media management",
    "Strong emphasis on technology, AI, and data integration",
    "Specialization in e-commerce performance marketing",
    "Multinational presence and experience",
    "Comprehensive approach to connecting marketing data and execution"
  ],
  "unknowns": [
    "Specific details on their proprietary AI algorithms and technology stack",
    "Detailed pricing models for various service tiers or platform access",
    "Exact market share within specific digital advertising niches",
    "The full scope of their global customer base and success stories by industry",
    "Specific long-term growth strategies or recent M&A activities"
  ],
  "alternatives": [
    "makingscience.com",
    "labelium.com",
    "goodrebels.com",
    "elogia.net",
    "rebold.com"
  ],
  "business": "A digital marketing and ad-tech company providing technology-driven performance marketing and media management services for businesses looking to scale their digital presence, primarily in Europe and LATAM.",
  "competitors": [
    "makingscience.com",
    "labelium.com",
    "goodrebels.com",
    "elogia.net",
    "rebold.com",
    "sumate.eu",
    "kaufman.digital"
  ]
}

## Score by group
- Machine access: 24/24
- Content legibility: 24/26
- Discovery surface: 3/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## Add-on packs
- E-commerce & product feeds: 15/100 (not part of the public score)

## AI mentions and rivals
Named in 1 AI assistant answers.
- makingscience.com: not measured
- elogia.net: not measured
- sumate.eu: not measured

## Named for
- Which platforms can help me measure my brand’s visibility in generative AI and LLM-generated answers? https://qomvia.com/answers/which-platforms-can-help-me-measure-my-brand-s-visibility-in-generative-ai-and-l

## FAQ
Q: Is Adsmurai readable by AI agents?
A: Adsmurai (adsmurai.com) scores 64 out of 100 for agent readiness, grade C, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using adsmurai.com?
A: The heaviest problems are: No llms.txt; No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.

Q: How is the Adsmurai agent-readiness score calculated?
A: Qomvia fetches public pages of adsmurai.com as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100. E-commerce & product feeds checks are scored separately (15/100) and do not affect the public score or rank.

Q: How often is this score updated?
A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from 2 days ago, on 08.10.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
- Score another site: https://qomvia.com/