# Prominentorange (prominentorange.com): agent-readiness 34/100, grade F > Rank 904 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-09T20:40:41.714Z. Page: https://qomvia.com/site/prominentorange-com JSON: https://qomvia.com/api/score/prominentorange-com ## Summary Category: Software and SaaS { "known": false, "confidence": "low", "summary": "I do not have specific pre-existing knowledge about prominentorange.com in my training data. Therefore, I cannot provide a summary of what this site is and does from my own knowledge.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific features and their effectiveness", "Actual user reviews and reputation", "Founding history and team", "Pricing models", "Market position relative to actual competitors" ], "alternatives": [], "business": "Information not available from my knowledge.", "competitors": [] } ## Score by group - Machine access: 16/24 - Content legibility: 10/26 - 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 ## AI mentions and rivals Named in 1 AI assistant answers. ## FAQ Q: Is Prominentorange readable by AI agents? A: Prominentorange (prominentorange.com) scores 34 out of 100 for agent readiness, grade F, measured yesterday, on 09.10.2026. 0 of 3 agent classes we test can use the site, and 7 checks currently block agents outright. Q: What stops agents from using prominentorange.com? 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 Prominentorange agent-readiness score calculated? A: Qomvia fetches public pages of prominentorange.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. 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 09.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software - Score another site: https://qomvia.com/