Prompt Analysis
Discover and cluster the prompts buyers ask, then turn them into briefs.
Track whether your brand appears, ranks and gets cited for the prompts your buyers actually type, across ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude and Copilot, and watch each one move over time.
Ask two engines the same question about your category and you get two different shortlists. Ask again next month and both have changed. Checking by hand does not scale past a dozen prompts, and it tells you nothing about movement, which is the only thing that tells you whether your work is landing.
The harder problem comes after you find a gap. Knowing that ChatGPT does not mention you for "best tool for X" is not actionable on its own. You need to know whether the fix is a page that does not exist, a page that exists but is never cited, or an entity the engine does not connect to you.
Prompts you choose, grouped how you work, measured on every engine, tracked over time.
Answer engines are non-deterministic. Ask the same prompt twice and the wording, and sometimes the shortlist, will differ. That is why the product reports trends across repeated runs rather than a single snapshot, and why a one-week movement on a single prompt is not evidence of anything. Read the trend line, not the last data point.
Discover and cluster the prompts buyers ask, then turn them into briefs.
Which of your URLs get cited as sources, and where they sit in the list.
Share of answer against your competitors, and the sources behind their lead.
The free audit runs your buyers' real questions against four engines and shows who gets named instead of you.