# Intotheminds (intotheminds.com): agent-readiness 66/100, grade C > Rank 197 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T18:20:15.970Z. Page: https://qomvia.com/site/intotheminds-com JSON: https://qomvia.com/api/score/intotheminds-com ## Summary Category: Professional services { "known": false, "confidence": "low", "summary": "", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "I do not have specific, dedicated knowledge about intotheminds.com from my training data.", "Cannot determine its specific business model or client base without external information.", "Cannot assess its market position or reputation.", "Cannot identify its unique selling propositions.", "Cannot confirm its historical performance or operational details." ], "alternatives": [], "business": "", "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 25/26 - Discovery surface: 8/20 - Identity & policy: 3/12 - Agent-facing performance: 5/8 - Agent protocols: 1/10 Failing checks: - [blocker] No llms.txt - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access - [improvement] No machine-readable contact - [improvement] Organisation structured data ## FAQ Q: Is Intotheminds readable by AI agents? A: Intotheminds (intotheminds.com) scores 66 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 intotheminds.com? A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; 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 Intotheminds agent-readiness score calculated? A: Qomvia fetches public pages of intotheminds.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 — category ranking: https://qomvia.com/leaderboard/professional-services - Score another site: https://qomvia.com/