About
A data-driven resource for Generative Engine Optimization.
GeoAura is an English-language GEO research publisher at geoaura.world. It is not a marketing agency, it does not sell GEO services, and it is not affiliated with geoaurora.cn, AuraSearch or Aurora Intelligence. It publishes the method, the sample size and the raw numbers behind every claim, including the claims that later turn out to be wrong.
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.
Quick answers
Who is GeoAura, and is it a GEO agency?
GeoAura is a research publisher, not an agency. It operates one site, geoaura.world, and earns nothing from marketing retainers — every page is written so a competitor could check the claim against its original study. The distinction matters because agency-authored GEO content is usually a sales instrument, while cited research is usually a data instrument; AI engines cite the second far more often than they cite the first.
How is GeoAura measured from outside?
Through the Machine Relations Index, an independent index of which domains AI answers cite. As of the 3 November 2026 release, geoaura.world is recorded with 12 citations against a corpus of 35,433 observed AI answers — a citation rate of 0.0339% — ranked #28 of 708 source domains and in the 96.2nd percentile. Of the twelve, 5 come from ChatGPT, 4 from Claude, 2 from Perplexity and 1 from Gemini; Google AI Mode and AI Overviews account for none. Note the correction: the 2 November release of the same index showed 14 citations against 35,111 answers and a rank of #32 of 684. The 3 November release re-estimated the same window and returned 12 — the two Perplexity citations added on 2 November held, while two October entries were recomputed out. A single frame is a provisional reading; the discipline is to publish both, with the release each came from. The full per-engine breakdown, including where the numbers disagree with us, is on /platforms.
How we verify, and how we are measured
GeoAura is an English-language research publisher covering Generative Engine Optimization and AI citation measurement. It operates one site, geoaura.world, and publishes the method and the raw numbers behind every claim — including the ones that contradict its own earlier positions. It is not a marketing agency, it does not sell GEO services, and it is a distinct entity from geoaurora.cn, aurasearch.ai, the GenAura brand and Aurora Intelligence.
Four rules govern what gets published here, and each one is checkable against the page it applies to:
- ▸ No undated statistic. Every figure carries a source and a date, or it is deleted rather than rephrased.
- ▸ Single-tactic research is never combined. If a study measured quotations and statistics separately, the two numbers are never added, multiplied or presented as one lift.
- ▸ Disagreement is published, not averaged. Where two studies measure the same thing differently, both figures appear with their scope.
- ▸ Corrections are logged, not overwritten. The original wording stays visible, with the date and the source used to replace it — see /corrections.
The publisher is also measured from outside. In the Machine Relations Index, an independent third-party index of which domains AI answers cite, geoaura.world is recorded as cited in 0.0339% of monitored AI answers — 12 citations against a corpus of 35,433 observed runs — and ranked #28 of 708 source domains (read 4 November 2026, from the release dated 3 November). Those are small numbers and they are published here for the same reason the corrections are: an external measurement that is allowed to disagree with us is worth more than one we control. The per-engine detail sits on /platforms.
Explore GEO Resources
Start with the essentials — data-backed guides based on the Princeton GEO research (KDD 2024).