Free LLM optimisation tool. Simulate how AI search engines like Perplexity, ChatGPT, and Google AI Overviews handle your content. Get a citation likelihood score and actionable improvements for LLM optimisation (LLMO).
This tool scores your content across five dimensions: Content Authority (expertise and data), Structural Clarity (headings, lists, scannable format), Information Density (specific facts vs. generic filler), Unique Value (original insights not found elsewhere), and Query Alignment (how directly the content addresses the question). Results are tested across three prompt variations for consistency.
LLMO is the practice of optimising web content so that large language models (like ChatGPT, Perplexity, Claude, and Google Gemini) are more likely to cite, quote, or reference it when answering user queries. It focuses on content structure, information density, authority signals, and query alignment rather than traditional ranking factors.
You paste your content and a target query. The tool runs three different AI prompt variations (Search Assistant, Research Helper, and Answer Engine) to simulate how different AI search products would handle your content. It then analyses whether each variation cited, paraphrased, or ignored your content, and provides a citation likelihood score with specific improvement suggestions.
LLM citation likelihood measures how probable it is that an AI search engine will reference your content when answering a related query. Factors include content authority, structural clarity, information density, unique value, and query alignment.
Yes. Paste your content and a target query to receive a full analysis at no cost. No login required.