Field notes · research
We publish what we learn.
Working notes and reference material from live audits, the same thinking we use internally. Free to read and free to cite, with no gating and no email wall.
The reference library.
What is generative engine optimization?
A plain definition of GEO, why the buying funnel re-routed through AI, and how engines decide which brands to name.
How AI decides which brands to cite
Training data versus live retrieval, authority thresholds, and the signals that put a brand into the answer.
Where they meet and split
What carries over, what is new, and how to split budget between ranking links and being recommended.
How to measure AI search visibility
The share-of-answer protocol we run: prompts, engines, scoring, written up so you can repeat it.
AI search statistics 2026
Sourced figures on AI-era buying behaviour, citation mechanics and shortlist formation. Free to cite with attribution.
An honest guide
What the format is, a worked example, and a clear-eyed view of where adoption actually stands.
Articles publish progressively. Want the occasional field note by email? Write to hello@citeran.com →
Read the research. Then run it on your brand.
The notes tell you how AI visibility works. An audit tells you where you actually stand.
Get mentioned. For certain.