About
A data-driven resource for Generative Engine Optimization.
What GeoAura Is
GeoAura is a free educational resource hub for Generative Engine Optimization (GEO). We publish data-backed guides on how to optimize content for AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, and others.
Why This Exists
AI search is reshaping how people find information. Instead of ten blue links, engines now generate answers and cite sources. The Princeton GEO study (KDD 2024) provided the first rigorous benchmark of what makes content citable. GeoAura exists to translate that research — and ongoing industry data — into practical guidance anyone can apply.
What We Cover
Our content covers five areas: GEO fundamentals (what it is, how it differs from SEO, how RAG works), AI platforms (citation mechanisms for ChatGPT, Perplexity, Google AI Overviews, Claude), optimization strategies (the 9 evidence-based tactics from the Princeton study), measurement (how to track visibility in AI answers), and data (market share trends and benchmarks).
How We Work
Data-driven: Every claim is backed by a cited study, benchmark, or measurement. No speculation presented as fact.
Evidence over keywords: GEO is not about stuffing keywords. It's about structure, authority, and citability — and we optimize for that.
Practical: Strategies come with concrete implementation steps, checklists, and examples you can apply immediately.
Transparent about limits: GEO is a new field. We flag what is known, what is hypothesized, and what is still uncertain.
Explore GEO Resources
Start with the essentials — data-backed guides based on the Princeton GEO research (KDD 2024).