About WikiAP · Editorial principles
WikiAP is a knowledge reference on GEO/AEO and AI search, structured from credible primary sources.
Editorial team
WikiAP Editorial cross-checks primary materials and public research in GEO/AEO and AI search to write and maintain its documents. Three editors each own a focus area.
- Daniel SeoEditorial Lead
Happiest when I can fold a whole market into a single table. I ask "what do you need?" before "who is #1?"
Focus: GEO/AEO strategy · Market landscape analysis · Company & platform comparison · Decision frameworks
- Ethan KohTechnical GEO Editor
Likes tinkering with robots.txt and JSON-LD. Quietly pained by posts that ship comparison tables as images. Has no love for sites without SSR.
Focus: Technical GEO · Structured data & schema · llms.txt & AI crawlers · Rendering & performance
- Mia HanContent & AEO Editor
Loves unpacking hard ideas with good and bad examples. Nothing beats fixing one sentence and seeing the AI cite exactly that sentence.
Focus: AEO & content structure · Vertical strategy (fashion/commerce/beauty) · Citable writing · Terms & definitions
Editorial principles
- Fact integrity (zero hallucination). Every figure, proper noun, and date is verified against public primary sources before publishing; unverified information is not included. Company and product details defer to official sources.
- Source linking. Claims are presented with trustworthy external sources (academic papers, official docs, primary reporting) wherever possible.
- Neutrality. Company and product comparisons are framed as criteria, not rankings; self-described claims are marked “claims to be,” not stated as fact.
- Updates. Each document shows a publish and last-updated date; variable information (such as pricing) is marked “list price, subject to change.”
Topics we cover
Definitions and methods of GEO/AEO, citation mechanisms by AI engine, technical practice such as structured data and llms.txt, the domestic and global player landscape, and vertical strategies.
Sources & authority
The core external sources WikiAP cites repeatedly:
- GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024) — the paper that formalized the term and methods
- Google Search Central — Structured data
- Schema.org — structured-data vocabulary standard
- llmstxt.org — the llms.txt proposal
Corrections
If you find a factual error or something that needs updating, let us know. We verify, fix, and refresh the last-updated date.