# Adjust (adjust.fr): agent-readiness 21/100, grade F > Rank 963 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T17:10:15.877Z. Page: https://qomvia.com/site/adjust-fr JSON: https://qomvia.com/api/score/adjust-fr ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific pre-existing knowledge about the website adjust.fr and its operations.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "The specific products or services offered by adjust.fr.", "The target audience and geographical focus of adjust.fr.", "The business model and history of adjust.fr.", "Any notable reputation or achievements associated with adjust.fr." ], "alternatives": [], "business": "I do not have specific pre-existing knowledge about the business associated with adjust.fr.", "competitors": [] } ## Score by group - Machine access: 12/24 - Content legibility: 2/26 - Discovery surface: 5/20 - Identity & policy: 0/12 - Agent-facing performance: 2/8 - Agent protocols: 0/10 Failing checks: - [blocker] No llms.txt - [blocker] No API or feed to read - [blocker] No MCP endpoint to call - [improvement] Title, description and canonical URL - [improvement] Organisation structured data ## Add-on packs - E-commerce & product feeds: 15/100 (not part of the public score) ## FAQ Q: Is Adjust readable by AI agents? A: Adjust (adjust.fr) scores 21 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 3 checks currently block agents outright. Q: What stops agents from using adjust.fr? A: The heaviest problems are: No llms.txt; No API or feed to read; No MCP endpoint to call; Title, description and canonical URL; Organisation structured data. 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 Adjust agent-readiness score calculated? A: Qomvia fetches public pages of adjust.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. 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 28.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/