Plain-English explanations of how AI answer engines pick which businesses to surface, cite, and recommend — built from the same methodology we use in every $2,000 audit.
Generative Engine Optimization, defined. Why it matters when 40% of buyer research now starts with an AI prompt, and the four engines that make up the market today.
Read articleRobots.txt classification, llms.txt, JSON-LD schema, quotability, freshness, E-E-A-T, entity readiness. The full checklist BeCited grades every audit on, with weights and why each one matters.
Read articleIndependent research has converged on three load-bearing axes for AI visibility. Here's how each one maps to a measurable scoring dimension — and which one your brand is probably failing first.
Read articleThe Academy explains the methodology. The audit applies it to your brand: 100–300 buying-intent prompts run across ChatGPT, Gemini, Perplexity, and Claude, scored with 95% confidence intervals.