# Lettertrace (lettertrace.com): agent-readiness 61/100, grade C > Rank 443 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T04:10:38.434Z. Page: https://qomvia.com/site/lettertrace-com JSON: https://qomvia.com/api/score/lettertrace-com ## Summary Category: Software and SaaS { "known": false, "confidence": "low", "summary": null, "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific details about Lettertrace's offerings and features.", "The typical customer profile or target audience for Lettertrace.", "The geographical scope of Lettertrace's operations.", "Key strengths or unique selling points of Lettertrace.", "Direct competitors or alternatives to Lettertrace in the market." ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 23/26 - Discovery surface: 5/20 - Identity & policy: 0/12 - Agent-facing performance: 8/8 - Agent protocols: 1/10 Failing checks: - [blocker] No llms.txt - [blocker] The site does not say who it is - [blocker] No API or feed to read - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access ## AI mentions and rivals Named in 1 AI assistant answers. ## Named for - What are the best tools to track how a brand is mentioned and recommended by AI assistants like ChatGPT, Claude and Gemini? https://qomvia.com/answers/what-are-the-best-tools-to-track-how-a-brand-is-mentioned-and-recommended-by-ai ## FAQ Q: Is Lettertrace readable by AI agents? A: Lettertrace (lettertrace.com) scores 61 out of 100 for agent readiness, grade C, measured 3 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright. Q: What stops agents from using lettertrace.com? A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call; No stated policy for automated access. 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 Lettertrace agent-readiness score calculated? A: Qomvia fetches public pages of lettertrace.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 3 days ago, on 08.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software - Score another site: https://qomvia.com/