Article 7 min read
llms.txt vs robots.txt: What Each File Controls
llms.txt vs robots.txt explained: one file sets crawler access, the other recommends pages to AI tools. Learn how they interact and which to fix first.
A closer look
Practical Technical SEO tutorials, workflows, and experiments from SEOVision.
Article 7 min read
llms.txt vs robots.txt explained: one file sets crawler access, the other recommends pages to AI tools. Learn how they interact and which to fix first.
Article 7 min read
llms-full.txt puts the full text of your key pages in one Markdown file for AI tools. Learn where it came from, when it helps and how to build one.
Article 8 min read
A practical guide to create an llms.txt file that AI tools can read: choose the right pages, write useful notes, publish it correctly and check it.
Article 6 min read
Learn how to update outdated content for real: diagnose what changed, choose the right action, build an evidence-based queue and finish every fix.
Article 6 min read
Create a consistent product fact sheet across your website and third-party profiles so buyers can verify names, features and availability.
Article 6 min read
Write self-contained content sections that remain understandable when quoted, with clear subjects, conditions and evidence near the claim.
Article 6 min read
Use structured data to describe verified page facts, then test AI citation outcomes separately without assuming markup guarantees visibility.
Article 8 min read
Measure llms.txt usage with server logs: set up a clean test, label your own traffic, read a zero correctly and report access separately from citations.
Article 6 min read
Create an AI crawler access policy by distinguishing crawler purpose, verifying current documentation and checking what your server actually receives.
Article 6 min read
Use query fan-out as a planning aid to uncover missing buyer questions without treating AI-generated subqueries as real search demand.
Article 6 min read
Distinguish model knowledge, retrieved pages and live tool results when diagnosing where an AI answer may have obtained a product fact.
Experiment 6 min read
Compare four llms.txt experiments, current Google guidance and a practical protocol that separates file access, page discovery and AI citations.