# Arobis (arobis.ai): agent-readiness 65/100, grade C > Rank 305 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-19T01:10:14.839Z. Page: https://qomvia.com/site/arobis-ai JSON: https://qomvia.com/api/score/arobis-ai ## Summary { "known": false, "confidence": "low", "summary": "I do not possess specific prior knowledge about arobis.ai from my training data. Therefore, I cannot provide a summary from my own internal resources.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific client success metrics or case studies not publicly available.", "Details on the Arobis AI team's individual expertise and background.", "The typical duration or pricing structure of their services.", "Any independent reviews or testimonials not part of their marketing.", "The company's founding history or number of active clients." ], "alternatives": [], "business": "I do not have prior knowledge of arobis.ai to describe its business from my own data.", "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 19/26 - Discovery surface: 9/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [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 - [improvement] No Content Signals ## AI mentions and rivals Named in 2 AI assistant answers. ## Named for - How can I find out whether ChatGPT, Claude or Gemini recommends my company when potential customers ask for products in my category? https://qomvia.com/answers/how-can-i-find-out-whether-chatgpt-claude-or-gemini-recommends-my-company-when-p ## FAQ Q: Is Arobis readable by AI agents? A: Arobis (arobis.ai) scores 65 out of 100 for agent readiness, grade C, measured 4 days ago, on 19.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright. Q: What stops agents from using arobis.ai? A: The heaviest problems are: No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals. 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 Arobis agent-readiness score calculated? A: Qomvia fetches public pages of arobis.ai 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. 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 4 days ago, on 19.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/