Evidence Over Certainty
AEO is a young discipline. Most of what is published is opinion dressed as fact. We are building a research program that distinguishes what is known from what is inferred from what is guessed, and publishes all three, clearly labeled.
Our Evidence Level System
Every article on AEO Updates carries one of three evidence labels. Click the badge on any article to see what it means.
Claims grounded in published studies, platform announcements, or measurable third-party data. We cite the source and describe the methodology.
Analysis and synthesis of available data. Informed opinion based on evidence, but not yet empirically verified by controlled experiment.
Forward-looking thesis or prediction. Directionally grounded in observed patterns but not yet proven. We flag these clearly so readers can weigh them accordingly.
Research Pipeline
What we are building. Reports will be published here when complete and linked from the articles they inform.
State of AI Visibility: Q3 2026
In ProgressAggregate analysis of citation patterns across ChatGPT, Perplexity, Google AI Mode, and Copilot. Tracking which content types, domains, and structural signals drive AI recommendations across 500+ tracked queries.
Open Experiment Library
PlannedA transparent archive of AEO experiments: methodology, sample size, results, and failed hypotheses. Every test documented, including the ones that did not work.
LLM Citation Anatomy Study
PlannedWhat structural and semantic properties predict whether a piece of content gets cited by an AI engine? A controlled study across 1,000+ content samples.
Running AEO Experiments?
If you are running controlled tests on AI citation behavior and are willing to share methodology and results, we would like to hear from you. Anonymized data is welcome.
Get in touch