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Aback Audit

Free AI tool, a prediction, not live data

Query Fan-Out Predictor for AI search

Enter a prompt the way someone would ask an assistant. The tool predicts the searches an AI answer engine may run to answer it, grouped by intent, so you can see what your content needs to cover.

Predict the fan-out

Enter one question or task. A prediction takes about ten seconds.

A prediction from an AI model of the searches an answer engine may run behind this question. Cover them on your page to be the one it cites.

    Why use the Query Fan-Out Predictor

    Grouped by intent

    Definitions, comparisons, prices, reviews, alternatives, specifics and recent changes, each with a one line reason.

    Checked output

    Every sub-query is cleaned and de-duplicated before you see it, and the prompt itself is never repeated back.

    Ready for planning

    Copy the list or download it as CSV to plan sections, FAQs or new pages.

    Honest

    It is a model's prediction of what an engine may search, not data from Google or OpenAI. The page says so.

    When to use the Query Fan-Out Predictor

    Content briefs

    Turn the sub-queries into the sections of a page that answers the whole question.

    FAQ sections

    Find the follow-up questions an assistant would research.

    Gap analysis

    Compare the sub-queries with what your page already covers.

    Comparison pages

    See which alternatives and criteria an engine would look up.

    Product pages

    Find the specifics people and engines expect: price, limits, integrations.

    Topic clusters

    Plan supporting pages around one main prompt.

    Understanding Query Fan-Out Predictor

    How to use the predictor

    1. 1Prompt. Write one realistic question, such as best crm for a small agency.
    2. 2Predict. The model returns 8 to 15 sub-queries grouped by intent.
    3. 3Compare. Check which ones your page answers clearly, in its own words.
    4. 4Fill the gaps. Add a section, a table or a short answer for the ones it misses.

    What query fan-out is

    Google described query fan-out for AI Mode in 2025: instead of one search, the system splits a question into related searches, runs them in parallel and writes an answer from the results. ChatGPT search and Perplexity work in a similar way. A page that answers several of those sub-queries clearly has more chances to be read and cited.

    A prediction, not a measurement

    No engine publishes the searches it runs. The tool uses an open model on Cloudflare Workers AI to predict likely ones. Treat the result as a brainstorm with structure: useful for planning, not proof of what an engine did.

    Privacy

    Your prompt is sent to Aback's server and to the model on Cloudflare Workers AI to make the prediction. Aback does not store prompts or results.

    Related tools and guides

    AI Search Readiness CheckerGenerative engine optimization starts with access. Check that AI assistants can crawl your pages, receive the real content rather than a block page, and read it without running JavaScript.Keyword Density CheckerPaste your text to see which words and two or three word phrases it uses most, how dense your target keyword is, and whether it appears where it should.Word CounterPaste your text to count words, characters, sentences and paragraphs, see the reading time, and check whether it fits a title, a meta description or a social post.llms.txt GeneratorGive language models a clean map of your site. Fill in the name, a one sentence summary and the links that matter, and copy a valid llms.txt.SEO and AI Search ChecklistWork through the technical, on-page, content and AI search basics one item at a time. Each item says why it matters and links the tool that checks it. Your progress is saved in this browser.AI Crawler CheckerFind out whether ChatGPT, Claude, Perplexity and other AI assistants can read your site. The checker reads your robots.txt rules for each AI crawler and requests the page with each crawler's user agent, so a firewall block shows up too.Guide: AI search readinessThe technical side of generative engine optimization. How ChatGPT, Claude, Perplexity and Google AI features find and read pages, and the checks that make sure they can read yours.

    Frequently asked questions

    What is query fan-out?

    The way AI search systems split one question into several related searches, run them, and combine the results into one answer.

    Is this data from Google or ChatGPT?

    No. It is a prediction by an open language model. No engine publishes its sub-queries.

    Which model is used?

    Meta Llama 3.3 70B on Cloudflare Workers AI.

    How should I use the result?

    As a checklist of angles. Make sure your page answers the important ones directly, with specific facts, so it can be quoted.

    Why do I get different results each time?

    Language models vary their answers. Run it two or three times and keep the sub-queries that come up again.

    Should I create a page for every sub-query?

    Usually not. Cover closely related ones in sections of one page, and create separate pages only for distinct topics.

    How many predictions can I run?

    Twenty an hour from one network.

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