Build a GEO operating system, one guide at a time.
Evergreen implementation guides for measurement, evidence, content and distribution.
Implementation guides that stay useful after the first run.
AI crawler list
17 AI crawler user agents, each row taken from vendor documentation: what it does and what blocking it costs.
GEO measurement framework
Define stable questions, engines, markets, evidence and review cadence before the first run.
Answer Engine Optimization (AEO): a working guide
What AEO is, how it differs from GEO and SEO, and the six things that actually decide whether an answer engine can lift an answer from your page and attribute it to you.
AI SEO vs GEO vs AEO vs LLMO: which term means what
Four names circulate for overlapping work. Here is what each one usefully means, where they genuinely differ, and which distinctions change what you do on Monday.
Letting AI crawlers in: robots.txt, GPTBot and the checks that actually prove it
Being fetchable is the precondition for being cited. Which agents to allow, why one rule for all of them is usually wrong, and why reading your robots.txt does not prove anything.
llms.txt: what it is, how to write one, and what it will not do
An honest guide to the llms.txt convention: the format, a structure that survives contact with a real site, and a clear statement of what no vendor guarantees.
How AI assistants decide which brands to name
What 1,188 answers across twelve categories and five models show about when assistants name brands at all, how concentrated each category is, and which sources they draw on.
Measuring share of voice in AI answers without fooling yourself
Four counting mistakes that inflate a brand's share of voice, each one invisible in the final number, and the reporting rules that prevent them.
Questions teams ask before they start
What belongs in Learn instead of Blog?
Learn holds evergreen implementation guides. Blog holds timely analysis, product updates, field notes and opinion.
Why separate glossary terms into individual pages?
Each term page answers one definitional intent clearly and can connect readers and answer engines to deeper guides and product evidence.
How are reports different from articles?
Reports require a defined method, data scope, update date, limitations and reusable findings.
Is the content gated?
No. Guides, glossary entries and reports are readable without an account.
How often is it updated?
The AI answer layer moves quickly, so material is revised when methods or engine behaviour change rather than on a fixed calendar.
Can these methods be used without the product?
Yes. The measurement framework is documented so a team can run it manually; the product exists to make it repeatable at scale.
Turn AI visibility into a repeatable growth system.
Create a project, confirm your market and start measuring the questions that matter.