v0.1.0 — Initial public release

aio-surfaces v0.1.0 — Initial public release

MIT-licensed Python toolkit that generates the four canonical AI-citation surfaces from a single typed site config:

• llms.txt (markdown summary AI crawlers prefer)
• aeo.json (atomic question/answer facts under 500 chars each)
• entity.json (Schema.org @graph: Organization + Person + WebSite)
• brand.json (internal brand truth ledger)

One config means all four surfaces stay in sync. When they drift, AI engines (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) receive conflicting signals and de-rank the site.

Pure Python stdlib core, optional PyYAML, 10/10 tests passing. Used in production at https://www.thatdevpro.com

This release is archived to Zenodo for a citable DOI.

Cite as: Anady, Joseph W. (2026). aio-surfaces: a Python toolkit for AI-citation surface generation (v0.1.0). Zenodo. https://github.com/Janady13/aio-surfaces