LLMs don't search for what you typed. They expand it into dozens of sub-queries, then stitch together an answer. See exactly what those sub-queries are.
Type the query your audience searches for. Could be a blog topic, product category, or any phrase you want AI to cite you for.
Watch how ChatGPT, Claude, and Perplexity each expand your query into different sub-queries. Every model thinks differently.
Get a list of keyword variations you're not covering. Write content that answers the sub-queries, and LLMs will cite you more.
SEO is shifting from ranking in blue links to getting cited by AI. The rules changed.
They decompose your query into sub-queries, retrieve content for each, then synthesize. If your content only matches the original query, you're invisible to the fan-out.
AI Overviews, ChatGPT search, and Perplexity are answering questions directly. The content they cite gets the traffic. Everything else gets nothing.
ChatGPT, Claude, and Perplexity each generate different sub-queries from the same input. You need to cover variations across all of them.
Content that covers 80%+ of a query's fan-out variations is dramatically more likely to appear in AI-generated answers.
The simplest way to understand how AI search actually sees your content.