# VerisAI.eu - Complete AI Visibility Governance & Audit Methodology Version: L1 v2.0.0 | L7 v2.0.0 | Updated: 2026-02-25 ## Company - Legal name: Belvo s.r.o. - Brand: VerisAI.eu - Founded: 2025 - HQ: Praha 10, Czech Republic (Czechia) - Employees: 1 - Website: https://verisai.eu - Contact: support@verisai.eu ## What VerisAI does VerisAI audits how AI systems (ChatGPT, Gemini, Claude, Perplexity) describe your company, fixes the signals they rely on, and monitors drift over time — so your AI identity stays canonical and citation-ready. ## Category AI Visibility Governance. Not SEO. Not data privacy. Not compliance. Not GDPR. ## Free tools 1. AI Readiness Check — technical audit of a URL: checks AI bot access, SSR quality, indexability, content quality, structured data, and multi-LLM citation readiness. Available at https://verisai.eu/readiness.html 2. AI Knowledge Diff — compares your ground truth facts against what AI models actually know about your company. Flags hallucinations, missing facts, and discrepancies. Available at https://verisai.eu/knowledgediff.html ## Paid services 1. AI Visibility Audit — full 7-Layer diagnostic audit of your website across 4 audit systems: WEB accessibility analysis, URL audit, Canonical audit, and Content audit. Delivers structured report, JSON export, and Implementation Runbook. Tiers: Starter €497 (1-50 pages), Professional €997 (51-200 pages), Enterprise €1997 (200+ pages). Delivery: 3 business days. 2. WEB AI Readiness Runbook — prioritized implementation guide for website administrators derived from the AI Visibility Audit. Covers robots.txt, structured data, SSR, and technical AI visibility fixes. 3. Content AI Readiness Runbook — prioritized implementation guide for content managers. Covers entity consistency, content quality, heading structure, FAQ optimization, and AI citation signals. 4. Canonical AI Readiness Runbook — implementation guide for eliminating identity ambiguity. Covers canonical tags, URL consolidation, duplicate signals, and entity resolution. 5. AI Visibility Consultancy — advisory services for companies managing AI identity governance, citation readiness, and long-term AI visibility strategy. ## Languages English, Czech (cs), Slovak (sk) --- ## 1. Service Architecture & Governance Alignment VerisAI translates technical metrics into three core governance solutions: - **AI Visibility Runbook:** Targets Web Admins and Content Managers. Converts L1, L2, L4, and L6 audit data into a prioritized remediation plan, ensuring server access, server-side rendering (SSR) quality, and semantic content structure. - **Canonical Governance:** Targets SEO and Technical Leads. Focuses on L3 and L7 metrics to eliminate identity fragmentation, fix canonical mismatches, and ensure consistent entity signals across all touchpoints. - **Corporate Governance:** Targets C-Level and Risk Management. Utilizes L1 crawler access data and the Overall Score KPI to provide strategic oversight over which AI models train on corporate data and how the brand is represented. --- ## 2. The 7-Layer AI Readiness Audit (L1-L7 Scoring Reference) ### Overall Score Calculation Overall = (AI Readiness + SEO + Citation) / 3 AI Readiness = (L4 * 0.6) + (L3_score * 0.4) * SSR_factor SEO = (L5 + L6) / 2 Citation = L7 overall_citation_readiness SSR_factor: FULL=1.0, PARTIAL=0.7, FAIL=0.0 *Early termination rules:* If L1=BLOCKED -> final_score=0 | If L2=FAIL -> final_score=0 ### L1 - Gateway Access (Max: 100) *Method: robots.txt fetch + HTTP test* - **Scored bots (18 points each, max 90):** GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity), Google-Extended (Google), GrokBot (xAI). - **Bonus:** Existence of `/llms.txt` (+10 points). - **Informative only (no score):** OAI-SearchBot, ChatGPT-User, anthropic-ai, Claude-SearchBot, Claude-Web, Google-CloudVertexBot, Perplexity-User, meta-externalagent, Meta-ExternalFetcher, Applebot-Extended, Bytespider, DuckAssistBot, mistralai-user, DeepseekBot, CCBot. - **Status Thresholds:** PASS = At least 1 scored bot ALLOWED + HTTP ok. BLOCKED = All blocked or HTTP fail. ### L2 - Server-Side Rendering (Max: 100, Binary) *Method: HTML parsing* Evaluates the presence of 4 core elements upon initial load: