Published May 27, 2026
| Version v1
Working paper
Open
AEO Methodology: A Reference Implementation for Engine Optimization Across AI-Mediated Retrieval Systems
Description
A reference implementation methodology for unified engine optimization (SEO + AEO + AIO + GEO + LLMO) using declarative AI-citation surfaces (llms.txt, llms-full.txt, aeo.json, entity.json, brand.json), live Schema.org JSON-LD injection via nginx SSI, and a 26-page canonical reference library of HTTP/HTML signals.
Companion software: aio-surfaces (Python) and seo-sidecar (FastAPI+nginx). Living reference at thatdevpro.com/reference.
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aeo-methodology.md
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Additional details
Related works
- Cites
- https://www.wikidata.org/wiki/Q139901957 (URL)
- Is documented by
- Other: https://www.thatdevpro.com/reference/ (URL)
- Is supplemented by
- Software: https://github.com/Janady13/aio-surfaces (URL)
- Software: https://github.com/Janady13/seo-sidecar (URL)