Global
Congratulations on taking the first step toward making your brand citation-worthy in AI search. This checklist is your go-to resource for ranking inside ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews. Every recommendation is backed by current AI-search behaviour, real-world citation data, and proven optimisation frameworks tested across 300+ brands.
Explore high-impact tactics pulled directly from our LLM SEO Ranking Checklist 2026. These practical moves will help you fix what AI crawlers silently block, restructure content so language models can quote it cleanly, and build the off-site signals that turn your brand into a default citation across ChatGPT, Claude and Perplexity.
Make Your Site Readable to AI Crawlers
Most brands lose AI visibility before they even start because their site silently blocks the bots that matter. This section walks you through auditing robots.txt, whitelisting OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended and Applebot-Extended, and layering in the schema and llms.txt signals that help language models understand exactly what your pages are about.
Write Content That LLMs Can Quote
LLMs cite content they can extract cleanly, not pages stuffed with keywords. This part of the checklist shows you how to open every section with a one-sentence direct answer, build pillar-and-spoke topical clusters, restructure pages around the questions buyers actually ask, and replace generic copy with original data, opinions and case studies AI hasn't seen before.
Build the Off-Site Signals That Earn Citations
LLMs read a much wider web than Google does: Reddit, LinkedIn, YouTube, GitHub, Quora, podcasts and press. This section covers how to plant your brand in the third-party pages AI already trusts, keep your brand entity consistent across every platform, and run the monthly tracking cadence that turns AI visibility into a measurable channel.
Most brands lose AI visibility before they even start because their site silently blocks the bots that matter. This section walks you through auditing robots.txt, whitelisting OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended and Applebot-Extended, and layering in the schema and llms.txt signals that help language models understand exactly what your pages are about.
LLMs cite content they can extract cleanly, not pages stuffed with keywords. This part of the checklist shows you how to open every section with a one-sentence direct answer, build pillar-and-spoke topical clusters, restructure pages around the questions buyers actually ask, and replace generic copy with original data, opinions and case studies AI hasn't seen before.
LLMs read a much wider web than Google does: Reddit, LinkedIn, YouTube, GitHub, Quora, podcasts and press. This section covers how to plant your brand in the third-party pages AI already trusts, keep your brand entity consistent across every platform, and run the monthly tracking cadence that turns AI visibility into a measurable channel.
We’d love to hear about your brand, your visions, current challenges, even if you’re not sure what your next step is.
Let’s talk
