Guides
Practical guides for AI search visibility
Vendor-neutral, honest about what works. Every guide is actionable without our product — and ends with a measurement step you can run for free at /grader.
Prefer RSS? Subscribe to /guides/feed.xml.
Setup
How to set up llms.txt — a practical 2026 guide
Vendor-neutral walkthrough of what llms.txt is, why it matters in 2026, where to put it on Next.js / WordPress / Webflow, common mistakes, and how to verify it actually works.
Read the guide
robots.txt for AI bots — what to allow, what to block (2026)
Sixteen AI crawlers explained — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Bytespider, and the rest. Three copy-paste stances + framework setup notes.
Read the guide
JSON-LD for AI search — the schemas that actually move the needle (2026)
Which schema.org types AI engines actually read in 2026 — Organization, SoftwareApplication, Article, FAQPage — with full JSON-LD examples and a validator workflow.
Read the guide
Per engine
How to get cited by ChatGPT — the 2026 playbook
What ChatGPT cites most in 2026, the GPTBot / OAI-SearchBot / ChatGPT-User split, the role of Bing as ChatGPT's search backbone, and the practical 8-step plan to surface in answers.
Read the guide
How to rank in Perplexity — Sonar retrieval explained (2026)
Perplexity Sonar pulls ~10 pages and cites 3–4. What gets you into the citation set: source authority, freshness, Reddit share (24% per Tinuiti Q1 2026), snippet quality.
Read the guide
Google AI Mode optimisation — the May 2026 update playbook
After the May 6 2026 Reddit + Expert Advice update, AI Mode pulls from a wider source set. Practical playbook for surfacing in Expert Advice, Community Perspectives, and inline citations.
Read the guide