# Teamfuelonline (teamfuelonline.com): agent-readiness 7/100, grade F > Rank 994 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T22:20:16.540Z. Page: https://qomvia.com/site/teamfuelonline-com JSON: https://qomvia.com/api/score/teamfuelonline-com ## Summary { "known": false, "confidence": "low", "summary": "I do not possess specific pre-existing knowledge about the website teamfuelonline.com from my training data. Therefore, I cannot provide a detailed summary of its operations or identity.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific services offered beyond general marketing terms.", "Target audience demographics and industries served.", "Geographic focus of their operations.", "Client testimonials or case studies.", "Pricing models and effectiveness." ], "alternatives": [], "business": "I do not have specific pre-existing knowledge about what this company does, for whom, and where.", "competitors": [] } ## Score by group - Machine access: 7/24 - Content legibility: 0/26 - Discovery surface: 0/20 - Identity & policy: 0/12 - Agent-facing performance: 0/8 - Agent protocols: 0/10 Failing checks: - [blocker] No discoverable sitemap - [blocker] No llms.txt - [blocker] Bot protection blocks declared agents - [blocker] No API or feed to read - [blocker] No MCP endpoint to call ## FAQ Q: Is Teamfuelonline readable by AI agents? A: Teamfuelonline (teamfuelonline.com) scores 7 out of 100 for agent readiness, grade F, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright. Q: What stops agents from using teamfuelonline.com? A: The heaviest problems are: No discoverable sitemap; No llms.txt; Bot protection blocks declared agents; No API or feed to read; No MCP endpoint to call. 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 Teamfuelonline agent-readiness score calculated? A: Qomvia fetches public pages of teamfuelonline.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 29.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/