# Packaging (packaging.fr): agent-readiness 29/100, grade F > Rank 896 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T22:10:16.474Z. Page: https://qomvia.com/site/packaging-fr JSON: https://qomvia.com/api/score/packaging-fr ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific, pre-existing knowledge about the website packaging.fr. My training data does not contain a dedicated profile for this specific domain.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "The exact business model and services provided by packaging.fr.", "Its primary target audience or market segment.", "Its operational geography or core region of business.", "Specific strengths or unique selling propositions.", "Its direct competitors in the market." ], "alternatives": [], "business": "I cannot confidently define what this company does, for whom, or where.", "competitors": [] } ## Score by group - Machine access: 16/24 - Content legibility: 5/26 - Discovery surface: 0/20 - Identity & policy: 0/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [blocker] No discoverable sitemap - [blocker] No llms.txt - [blocker] The site does not say who it is - [blocker] Content is buried in boilerplate - [blocker] No API or feed to read ## FAQ Q: Is Packaging readable by AI agents? A: Packaging (packaging.fr) scores 29 out of 100 for agent readiness, grade F, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 8 checks currently block agents outright. Q: What stops agents from using packaging.fr? A: The heaviest problems are: No discoverable sitemap; No llms.txt; The site does not say who it is; Content is buried in boilerplate; No API or feed to read. 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 Packaging agent-readiness score calculated? A: Qomvia fetches public pages of packaging.fr 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 2 days ago, on 28.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/