As AI Search engines ( Google AI Overviews, Google AI Mode, Perplexity, ChatGPT Search, and Claude ) shift user discovery from traditional ten-blue-links to Retrieval-Augmented Generation (RAG) synthesis, traditional SEO linters miss critical machine-readability signals: RFC 9727 API Catalog headers ( Link: </.well-known/api-catalog> ), llms.txt discovery, AI Crawler robots.txt governance, Answer-First opening blocks, and typed semantic E-E-A-T verification .

To solve this deterministically at the Cloudflare Edge, we built AEORank ( Vietnamese Edition ) and released the open GEO-62 Diagnostic Standard archived on CERN Zenodo ( DOI: 10.5281/zenodo.23582947 ) and Hugging Face .

1. Architecture of a Deterministic + Typed-Semantic GEO Audit

Most SEO tools either rely on superficial regex checks or ask a generic LLM to "score this page from 1 to 100" (producing non-reproducible hallucinations).…