Experiment 4 min read
Does llms.txt Help AI Visibility? Four Reports Separate the Questions
Four practitioner reports distinguish file access, page discovery and AI citations. A positive example also explains why causation remains uncertain.
Explore this subject
Experiment 4 min read
AI Internal Linking: Three Workflows That Keep Suggestions Reviewable
A prompt, a custom URL registry and an editor plugin show how people use AI for internal links. Their evidence is about workflow usefulness, not ranking lift.
Experiment 4 min read
AI SEO Audits: Three Practitioners Found Reasons to Verify the Findings
Practitioners report both useful audit assistance and confident mistakes. An evidence requirement makes those outputs easier to evaluate.
Learning Path 110 min read
AI-Assisted SEO Audits and Internal Linking
Use supplied crawl evidence to triage SEO issues, propose useful internal links, and create a verified fix plan through five text lessons.
Article 12 min read
Structured Data for AI Search: What It Can—and Cannot—Do
Implement accurate structured data for supported search features without treating schema markup as a guaranteed AI citation or ranking switch.
Article 11 min read
Technical SEO Audit Checklist: A Practical 30-Minute Workflow
Run a focused technical SEO audit in 30 minutes by checking access, index controls, canonicals, discovery, page signals, and measurable follow-up actions.
Article 13 min read
AI Search Optimization: A Practical Guide Beyond GEO Hype
Build an evidence-based AI search optimization program with crawlable pages, original information, clear answers, strong internal links, and measurable outcomes.
Article 11 min read
AI Internal Linking: Build a Useful Graph, Not a Link Dump
Use AI to find internal-link candidates, then apply page, anchor, canonical, and reader-value checks before publishing each link.