LLMO Prompt Tester - Test Your Content Against AI Search

    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. Part of our AI SEO toolkit.

    Paste the article, page copy, or content you want to test. Maximum 50,000 characters.

    0 / 50,000 characters

    The question a user would ask an AI search engine that your content should answer.

    Deep Analysis adds Conversational AI and Expert Advisor simulations, plus content strength mapping and gap analysis. Just enter your name and email to run it.

    How It Works

    1

    Paste Your Content

    Paste the article or page copy you want to test. Add a target query that a user might ask an AI search engine.

    2

    We Run 3 AI Simulations

    Your content is tested against three different AI prompt styles: Search Assistant (Perplexity), Research Helper (deep analysis), and Answer Engine (AI Overviews).

    3

    Get Your Citation Score

    See which parts were cited, paraphrased, or ignored. Get a citation likelihood score and specific improvements to make your content LLM-friendly.

    What This LLMO Prompt Tester Analyses

    Five dimensions of LLM citation likelihood, tested across multiple AI prompt variations to measure consistency.

    Content Authority

    • Does the content demonstrate expertise?
    • Are claims backed by data or references?
    • Does it provide original analysis or insights?
    • Is the tone authoritative and confident?

    Structural Clarity

    • Clear headings and logical structure
    • Scannable lists, tables, or bullet points
    • Direct answers near the beginning
    • Short paragraphs LLMs can extract from

    Information Density

    • Specific facts, numbers, and data points
    • Actionable steps or frameworks
    • No filler, fluff, or unnecessary repetition
    • High signal-to-noise ratio throughout

    Unique Value & Query Alignment

    • Original insights not found elsewhere
    • Direct relevance to the target query
    • Unique data, case studies, or examples
    • Consistency across multiple prompt styles

    Frequently Asked Questions

    What is LLMO (Large Language Model Optimisation)?

    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.

    How does this LLMO prompt tester work?

    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.

    What is LLM citation likelihood?

    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 (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).

    Is this tool free?

    Yes. The standard analysis (3 AI simulations) is completely free with no login required. We also offer a Deep Analysis mode that runs 5 AI simulations, including Conversational AI and Expert Advisor prompts, plus content strength mapping and gap analysis. Deep Analysis requires a business email to access.