About AEORank — Engineering the Open GEO-62 Standard for AI Search (2026)

AEORank is an independent software engineering and search intelligence platform founded in Ho Chi Minh City, Vietnam. We build deterministic 62-rule SEO, AEO, and Generative Engine Optimization (GEO) auditing infrastructure, typed semantic passage evaluation (AEO-Sem, CERN Zenodo DOI 10.5281/zenodo.23582947), and Weekly Drift Guard monitoring for global engineering and growth teams.

1. Mission & The Open GEO-62 Technical Standard

Search discovery has expanded from traditional blue-link rankings into retrieval-augmented generation (RAG) across Google AI Overviews, Perplexity Sonar, ChatGPT Search, and Claude. AEORank was created so engineering and marketing teams can measure technical search readiness using reproducible, deterministic rules rather than guesswork or fabricated percentiles. Our open specification is published under CERN Zenodo DOI 10.5281/zenodo.23582947 and indexed on Wikidata (Q141814049).

2. Deterministic Architecture & Zero-Hallucination Guarantee

Every AEORank audit combines 62 deterministic rules (covering Google Search Central guidelines, RFC 9309 robots.txt compliance, RFC 9727 /.well-known/api-catalog discovery, Core Web Vitals, Protected-Field Year Conflict PFA-01, and Sitemap Uniform Lastmod CFA-02) with our typed semantic evaluation layer (AEO-Sem). Every metric in our 15-page PDF and 4-sheet Excel deliverables is verified by an automated Anti-Hallucination Gate.

3. Verified Open Registries, SDKs & Direct Contact

Developers and autonomous AI coding agents can integrate AEORank via our remote Model Context Protocol server (https://aeorank.app/mcp), official packages on npm and PyPI, or our GitHub Open Specification. For enterprise partnerships, research citations, or technical support, reach our team at support@aeorank.app.