
What is llms.txt — and does your site actually need one yet?
An llms.txt file is a short, plain-text map you place at the root of your domain to tell AI answer engines which pages matter most and how to read them.
Read article →Insights on the AI-Driven Web
Practical strategy on GEO, AEO, and technical SEO - how to get your brand discovered, cited, and recommended across every search and answer engine.
Editor's Pick
Showing 9 articles

An llms.txt file is a short, plain-text map you place at the root of your domain to tell AI answer engines which pages matter most and how to read them.
Read article →
How passage retrieval and query fan-out change which answers get found, and how to make your strongest sections stand on their own.

Why connected schema matters beyond rich results, what it can and cannot do for AI visibility, and where your developers should start.

Inside our eight-category AI Readiness Audit: the evidence we collect, how the score is calculated, and how findings become a prioritized roadmap.

How to check your Common Crawl presence, understand what it can and cannot tell you about AI training data, and fix crawler access problems.

A plain-English look inside LLMS Amplifier: how it structures your site’s knowledge into a machine-legible layer so AI systems represent and cite your brand accurately.

A plain-English walkthrough of the S.T.A.R. Framework, showing how strategy, technical readiness, authority, and results measurement work as one connected AI-ready marketing system.

A legal-sector guide to earning AI visibility through differentiated attorney insight, earned authority, local signals, and organic GEO instead of generic law-firm slogans.

A healthcare-focused guide to earning AI visibility in a YMYL search environment by aligning AEO, medical review, authority, and reputation signals.
No matches
Try another topic or clear the filters.