AI SEO is the practice of optimizing for AI-powered search engines and assistants like ChatGPT, Claude, Perplexity, and Google's AI Overviews. The signals that matter are different: clear structure, citable facts, schema, and content that answers questions directly. These guides cover what changes and what stays the same.
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SEO is not dead, but the job changed. How AI Overviews, zero click search, and brand entity optimization reshaped the work, and what you still control.

AI agents are starting to act on websites, not just read them. Learn what agentic experiences are, how browser agents see your site, what the Universal Commerce Protocol changes, and how to prepare without falling for hype.

Google published official guidance on optimizing for AI features in Search. Here is a plain reading of what it confirms, the popular tactics it explicitly debunks, and the genuinely new parts, with what to actually do about it.

Adding the current year to your title tag is not a ranking signal. This guide walks through what core updates actually evaluate, why some old pages climb back, what Information Gain is, and how to read post-update panic without making it worse.

llms.txt is meant to feed your content to AI models. New data on 137K sites shows 97% of these files are never even requested. Here is what actually works instead.

robots.txt controls what search engines and AI crawlers can access. Learn the syntax, common patterns, and how to handle GPTBot, ClaudeBot, and PerplexityBot.

What SEO crawlers are, how they work, what they check, and how to use crawl data to improve your site. The complete 2026 guide to crawling for technical and AI SEO.

Learn what schema markup is, how to add structured data to your pages, and why it matters for both Google rankings and AI search citations.

Learn what Generative Engine Optimization is, how AI search engines pick their sources, and how to optimize your site for both Google and AI-powered answers.