# Search (search.agency): agent-readiness 75/100, grade B > Rank 39 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-09T18:00:14.307Z. Page: https://qomvia.com/site/search-agency JSON: https://qomvia.com/api/score/search-agency ## Summary Category: IT services and agencies { "known": false, "confidence": "low", "summary": "I do not have pre-existing knowledge about search.agency as a specific entity or business within my training data. Therefore, I cannot provide details about its operations or offerings from my own knowledge base.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific services provided by search.agency", "Target audience and geographic markets served by search.agency", "Unique selling propositions or core competencies", "Company history or established reputation", "Direct competitors in its specific niche" ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 23/26 - Discovery surface: 12/20 - Identity & policy: 8/12 - Agent-facing performance: 5/8 - Agent protocols: 3/10 Failing checks: - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access - [improvement] No Content Signals - [improvement] Time to first byte - [improvement] Content carries a date ## AI mentions and rivals Named in 1 AI assistant answers. ## Named for - which agencies help with AI search visibility https://qomvia.com/answers/which-agencies-help-with-ai-search-visibility-de ## FAQ Q: Is Search readable by AI agents? A: Search (search.agency) scores 75 out of 100 for agent readiness, grade B, measured yesterday, on 09.10.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright. Q: What stops agents from using search.agency? A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No Content Signals; Time to first byte; Content carries a date. 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 Search agent-readiness score calculated? A: Qomvia fetches public pages of search.agency 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/it-services - Score another site: https://qomvia.com/