Guides
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 (And Whether It's Worth It in 2026)
To add an llms.txt file, create a Markdown file with an H1 title, a blockquote summary, and H2 sections listing your key pages as `[name](url)` links. Save it as `llms.txt`, upload it to your site root so it loads at yourdomain.com/llms.txt, and verify it returns plain text. It takes about 15 minutes.
How to Do an AEO Audit: A Step-by-Step Guide (2026)
To do an AEO audit, build a list of 20-50 real buyer prompts, run each across ChatGPT, Perplexity, Google AI, Claude and Gemini, then log three things: are you mentioned, are you cited with a link, and which competitors and source pages won instead. Score your share of voice and fix the pages engines actually pull from.
How to Fix AI Getting Your Brand Wrong (Stale Pricing, Wrong Features)
You can't edit an AI's brain, so you fix the sources it reads. Publish a clear, dated correction on a page you own, mark it up with Organization/Product schema, update Wikipedia/Wikidata, and refresh third-party listings the model trusts. Retrieval-based tools (Perplexity, AI Overviews) update in weeks; base-model memory takes longer.
How to Optimize Content for AI Search (So ChatGPT and Google Actually Cite You)
To optimize content for AI search, lead every section with a direct 40-60 word answer, then back it with statistics, named sources, and quotes. Add FAQPage and Article schema in JSON-LD, write in clean extractable chunks, and structure pages around the exact questions people ask. AI engines cite what they can lift cleanly.
How to Optimize for AI Search: A 2026 Playbook (ChatGPT, Perplexity, AI Overviews)
To optimize for AI search, structure pages so a machine can lift a clean answer: lead every section with a direct 40-60 word answer, add JSON-LD schema, build entity-level authority, earn third-party citations, and keep facts fresh. AI engines quote extractable, verifiable passages from trusted sources, not keyword-stuffed prose.
How to Rank in ChatGPT: Get Cited and Named in AI Answers (2026)
To rank in ChatGPT, win Bing's top 3 organic results, since pages ranking there are cited 62.8% of the time while pages not indexed on Bing are cited just 0.6%. Then make your content extractable (clear answer up top, real statistics, named citations) and build corroboration across Reddit, Wikipedia, and review sites so ChatGPT trusts your name.
How to Rank in Google AI Overviews: A Step-by-Step Playbook (2026)
To rank in Google AI Overviews, get a page into the organic top 20 for the query, then make a single passage answer the question in 2-3 self-contained sentences directly under a question-style heading. AI Overviews pull from pages that already rank, so traditional SEO plus extractable, answer-first formatting is the whole game.
How to Track Brand Mentions in AI Search (2026 Guide)
To track brand mentions in AI search, run a fixed set of buyer-intent prompts across ChatGPT, Perplexity, Google AI, Claude and Gemini on a repeating schedule, sampling each prompt several times. Log whether your brand appears, its position, sentiment and whether it's cited, then trend the numbers weekly to catch movement.
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