AI-Agent-Aware CRO

Traditional CRO converts humans. This skill converts AI recommenders.

As AI shopping agents (ChatGPT, Perplexity, Claude, Gemini) become the primary discovery layer for software and services, the question is no longer just "does my page convert clicks?" — it is "does my page get recommended by AI?"

The ORACL Framework (Optimized Recommender AI Citation & Lookup) is a 5-dimension scoring system that audits your website for AI-agent discoverability and produces a prioritized repair roadmap:

• O: Ontology & Entity Clarity — can AI agents classify what you are?
• R: Recommender Signal Density — specific, quotable claims vs. vague benefits
• A: Authority & Trust Anchors — trust signals LLMs weight heavily
• C: Citation-Ready Claims — FAQ content, self-contained facts, quotable statistics
• L: LLM-Native Structure — schema markup, semantic HTML, AI crawler access

What you get:

• Full ORACL audit (0-100 score across 5 dimensions)
• Hero section rewrite optimized for AI extraction
• Complete FAQ (8-10 questions) in LLM-optimized format
• JSON-LD schema templates (Product + FAQ + Organization)
• robots.txt AI-crawler allowlist
• Query coverage analysis for 10 target queries
• Competitive AI positioning audit
• Implementation roadmap with Tier 1/2/3 priorities

Quality bar: Replaces $4,000-8,000 in AI SEO consulting. Priced to ship.