GeoSalience is an independent publication on Generative Engine Optimization, started in 2026 as a response to the volume of guesswork in the GEO space. We publish original datasets, explanatory articles and documentation reviews, with methods and limitations identified for each.
Public research datasets are linked from the Lab and their articles. The application source repository is private; we do not currently offer a public source-code archive.
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
AI Visibility Tools Compared: 35 Platforms, Features and Prices
We read the pricing pages and documentation of 35 AI visibility trackers on 3 October 2026 and compared them on engines, method, metrics, actions, integrations, compliance and price. 12 in-depth reviews, no rankings, and the full dataset to download.
State of GEO Q2 2026: the AI engine you optimize for matters most
We probed 100 brands across ChatGPT, Claude, Gemini, and Perplexity — 4,000 prompts. Citation rate varies far more by which engine you ask than by which brand you are: Perplexity cites 42%, ChatGPT 7%, Gemini hides its sources, and legacy news publishers get 0%.
Who LLMs cite for GEO: 927 sources, 417 domains, zero of them us
Across 50 GEO questions, four LLMs returned 1,105 source links. After setting aside Gemini's opaque redirects, the 927 attributable citations spread across 417 domains — a long tail led by YouTube and SEO-tool blogs. Here's the map, with the grounding caveat up front.
JSON-LD Recipes for Articles, Datasets, and FAQs
Copy-paste JSON-LD blocks that pass schema.org validators, render correctly in Google Rich Results, and surface in AI search engines. Annotated with what each field actually does.
This site is our GEO lab: the stack, the data, the experiments
A dated account of our GEO lab: the historical June 2026 baseline, later citation coverage and the limits of crawler identity verification. Old measurements remain history, not current performance claims.
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 Cutoffs and Live Search: How to Check AI Answers
A model cutoff and live web search answer different questions. Check retrieval, grounding and citations across product settings without assuming every answer searched.
llms.txt Adoption: Our 100-Domain Audit and Its Limits
Our May 2026 audit found llms.txt at 37 of 100 sampled apex domains. Preserve the historical evidence, understand what it cannot prove, and follow the updated proposal.
GEO Methods: An Evidence-Led Taxonomy
Five groups of GEO methods, with clear boundaries between documented mechanisms, research findings and hypotheses. Practical steps without guaranteed citation gains.
What Is GEO? Evidence, Limits and Practical First Steps
GEO aims to make useful content discoverable and attributable in AI answers. Learn what the evidence supports, how training differs from retrieval, and where to start.