Service Offering
AI READINESS AUDIT
Before you can dominate generative engines, you must understand how they currently perceive you. Our AI Readiness Audit establishes your baseline visibility across major LLMs and answer engines — and delivers the exact roadmap to close the gap.
Start With the Baseline
Most enterprise brands investing in GEO and AEO have no idea where they currently stand. They don't know which LLMs cite them, which competitor is winning citations they should own, or which technical gaps are blocking extraction. The AI Readiness Audit fixes that.
We query your brand and core category terms across ChatGPT, Gemini, Claude, Perplexity, and Copilot, then cross-reference findings against your current content architecture, schema markup, and analytics implementation. The result is a prioritized roadmap — not a generic checklist.
What's Included in Your Audit
- Current-State Citation Benchmarking: We document your current AI Share of Voice across 5 major LLMs, identifying which category queries cite competitors instead of you and mapping the citation gap to specific content and technical deficiencies.
- Technical Architecture Review: Deep-dive analysis of your existing HTML semantics, schema markup, and site taxonomy to identify and prioritize extraction blockers — the specific issues preventing answer engines from parsing and citing your content.
- Data & Analytics Gap Analysis: Evaluation of your current tracking setup to determine readiness for capturing zero-click and AI-referred engagement metrics — including Adobe Analytics and GA4 configuration gaps.
- Prioritized 90-Day Roadmap: A clear, sprint-based action plan ranking all recommendations by immediate business impact and technical feasibility — so your team knows exactly what to implement first.
AI Readiness Audit: Frequently Asked Questions
What is an AI Readiness Audit?
An AI Readiness Audit is a comprehensive assessment of your brand's current visibility across major LLMs and answer engines — including ChatGPT, Gemini, Claude, Perplexity, and Copilot. It establishes your baseline AI Share of Voice, identifies the technical and content gaps blocking citation authority, and delivers a prioritized 90-day roadmap for GEO and AEO implementation.
What does the AI Readiness Audit include?
Four pillars: citation benchmarking across 5 LLMs, technical architecture review of HTML semantics and schema markup, analytics gap analysis for AI referral attribution readiness, and a sprint-based 90-day implementation roadmap ranked by business impact and feasibility.
How long does the AI Readiness Audit take?
Typically delivered within 5 to 10 business days of engagement start. Timeline varies based on the size and complexity of your web presence. The output is a written report with actionable sprint recommendations — not a generic checklist.