# Designli (designli.co): agent-readiness 69/100, grade C > Rank 125 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T15:00:46.468Z. Page: https://qomvia.com/site/designli-co JSON: https://qomvia.com/api/score/designli-co ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific, detailed knowledge about designli.co from my training data to provide an audit-level overview. My knowledge base does not contain unique, verifiable insights about this particular entity.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific client success stories and long-term partnerships.", "Their unique selling proposition beyond general service descriptions.", "Comparative analysis of their services against direct competitors.", "Internal team structure, expertise, and operational processes.", "Client satisfaction ratings and public reviews." ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 23/26 - 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 ## FAQ Q: Is Designli readable by AI agents? A: Designli (designli.co) scores 69 out of 100 for agent readiness, grade C, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright. Q: What stops agents from using designli.co? 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 Designli agent-readiness score calculated? A: Qomvia fetches public pages of designli.co 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 yesterday, on 29.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/