Suede Signal

AI visibility guides

Six practitioner guides. Four map to what the audit checks (AI crawler access, llms.txt, structured data, citable writing); two cover where SEO carries over and the community threads AI engines learn from. Each guide includes an example you can adapt to your own site.

What Is llms.txt and Should Your Site Have One?

5 min

llms.txt is a curated Markdown guide to your site's key content. Learn what belongs in it, how crawlers use it, and how to write one.

Which AI Crawlers Should You Allow?

5 min

Learn which AI crawlers feed training or live answers, then configure robots.txt to keep answer visibility while limiting model training.

How JSON-LD Helps AI Engines Understand Your Brand

5 min

JSON-LD clarifies your brand identity, connects official profiles, and structures page answers so AI systems can verify and cite them.

How to Write Passages AI Answer Engines Can Quote

5 min

Write citable passages with direct answers, clear headings, useful lists, and enough context for AI answer engines to quote accurately.

AI Visibility Extends SEO, It Does Not Replace It

6 min

AI visibility keeps SEO fundamentals but adds answer-ready coverage, citability, and new measurement for mentions, citations, and referrals.

Where AI Engines Learn What People Think About Brands

5 min

AI engines use community threads for lived experience and current context. Learn which queries surface them and how to reply honestly.

Which guide matches each audit lane?

The free audit scores a page across five weighted lanes. When a check fails, read the guide for its lane, then apply the exact change from the fix guide. Every check, weight and grade band is listed in Scoring & lanes.

What do the other two guides cover?

Two guides look past the single page the audit scores.

To find the threads about your own brand, run Mention Watch: a free Reddit and Hacker News scan with a disclosure-first reply draft.