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Step-by-step AI visibility guides

No theory for its own sake — practical, do-this-then-that guides to get recommended by AI assistants.

How to Add an llms.txt File: Create, Host and Validate It (2026)

Write a Markdown file named llms.txt that starts with an H1 (your site name, the only required element), then add a one-line summary and H2 lists of links to your best pages. Serve it at yourdomain.com/llms.txt as plain text with HTTP 200, and check that it is not HTML and begins with a heading. Expect no AI search lift: Google says Search ignores the file.

How to Fix AI Getting Your Brand Wrong (Old Prices, Wrong Features)

You can't edit what an AI believes, so you fix what it reads. Work out which engine is wrong and whether the error comes from stale training memory or a retrieved page. Then correct the fact on a page you own and on the third-party sources engines pull from. Use each product's feedback button as a signal, not a fix. No vendor publishes a correction timeline.

How to Optimize Content for AI Search: Write Passages Engines Can Quote

Optimize the passage, not just the page. Open every section with a self-contained 40–60 word answer, back it with sourced numbers and attributed quotes, state entity facts plainly, and keep dated facts current. Publish one page per question. Schema cannot replace text worth quoting, and Google says its AI features need no special markup.

How to Rank in Google AI Overviews: A Step-by-Step Playbook (2026)

To appear in a Google AI Overview or AI Mode, a page must be indexed and eligible to show a snippet. Google names no other requirement and says no special markup, files or AI-only rewrites are needed. Getting cited then comes down to ranking work: cover the sub-questions behind the query, answer each first-hand under its own heading, and track impressions in Search Console.

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