GeoSalience is an independent publication on Generative Engine Optimization, started in 2026 as a response to the volume of guesswork in the GEO space. Every article starts with primary research — and every claim points back to a dataset or methodology that you can reproduce.
GeoSalience also ships open-source tools (llms.txt generator, schema validator, AI visibility checker), all live on GitHub.
GeoSalience writes for a global audience.
Disclosures
GeoSalience maintains an editorial wall and declares the following standing relationships:
- None at present.
If you believe you have relevant context for a story, please reach out: hello@geosalience.com.
Articles by GeoSalience
GEO vs AEO vs LLMO vs SGE: An Honest Taxonomy
Four acronyms, mostly the same thing — and a few clear distinctions worth keeping. We pulled the original definitions, checked who uses which term, and argue which one should win.
Knowledge Cutoff, Web Access, and Why It Matters
An LLM that browses the web in 2026 still answers from a training anchor months — sometimes a year or more — in the past. Knowing which knowledge comes from where, and how the two interact, is the prerequisite for any GEO strategy.
llms.txt: Spec, 100-Domain Adoption Audit, and Setup
We audited 100 top developer-tools and SaaS sites for an llms.txt file. Only 37 of them serve one at the apex — and the gap is concentrated in the places you might expect it not to be. The full spec, the audit, and a 10-minute setup.
What is Generative Engine Optimization (GEO)?
An honest taxonomy of the discipline that is reshaping how the web is read — by both humans and machines.