# Keytotech (keytotech.com): agent-readiness 65/100, grade C > Rank 230 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T05:50:16.396Z. Page: https://qomvia.com/site/keytotech-com JSON: https://qomvia.com/api/score/keytotech-com ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific information about keytotech.com from my training data, therefore I cannot provide a summary based on my own knowledge.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific client portfolio and detailed case studies.", "Company founding history and key leadership.", "Detailed pricing structures and engagement models.", "Exact geographic regions of operation or main offices.", "Overall market position and financial health." ], "alternatives": [], "business": "No specific information about keytotech.com's business model, target audience, or operational geography is available from my training data.", "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 23/26 - Discovery surface: 5/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [blocker] No llms.txt - [blocker] No API or feed to read - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access - [improvement] No machine-readable contact ## FAQ Q: Is Keytotech readable by AI agents? A: Keytotech (keytotech.com) scores 65 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 3 checks currently block agents outright. Q: What stops agents from using keytotech.com? A: The heaviest problems are: No llms.txt; No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. 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 Keytotech agent-readiness score calculated? A: Qomvia fetches public pages of keytotech.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/