A structured, technical audit of how AI search engines find, read, and cite your brand. We examine four core pillars: Technical AI Reachability — reviewing your robots.txt, WAF rules, JavaScript rendering, and llms.txt configuration so LLM crawlers can fully access your assets. Content Extractability — analysing front-loaded answer blocks, conversational H2 alignment, data density, and content recency so AI engines can lift clear answers from your pages. Citability & E-E-A-T — auditing schema markup coverage (Article, FAQPage, Organization, Person), author attribution, and outbound source links that signal trust to AI models. Finally, Brand Entity & Off-Site Footprint — mapping your presence across Wikidata, Crunchbase, and review platforms, plus running 30–50 competitive prompts inside major LLMs to benchmark your share of voice against rivals.

A curated private community built for SEO marketers, entrepreneurs, and growth-focused experts who want to learn, sharpen skills, or put an audit's findings directly into action. Use it as a standalone learning environment or as the natural next step after completing your AI Visibility Audit — turning every recommendation in your Plan of Action into executed strategy with expert support behind you.

Inside you'll find a continuously updated library of mini and master courses covering core SEO, GEO, and AI-search fundamentals, alongside regular news digests on algorithm updates, LLM ranking shifts, and organic marketing developments. Ask questions, get answers from practitioners, and access video walkthroughs, prompt libraries, and playbooks designed to move the needle — without the agency price tag.