Hunch is a creative automation platform for paid social. Its team used ContentMonk to track where it stood in AI answers and on Google, act on the opportunities the software surfaced, and produce the content inside the tool. AI visibility went from zero to 27 percent in the first three months.
Hunch had no read on where it stood in AI answers. The team could see rankings and traffic, and nothing at all about which assistants named Hunch when a buyer asked which tool to use.
Once it was measured, the number was zero.
That is a hard gap to act on without measurement, because there is no equivalent of a rankings report. An assistant's answer shifts with the phrasing of the question, so a single spot check tells you very little and a team can talk itself into either conclusion.
Creative automation is also a category where buyers ask for recommendations by describing a job instead of naming a category. Someone who needs hundreds of ad variants from a product catalogue asks for that, and the assistant names the tools it can describe doing it.
The prompts Hunch's buyers use were tracked daily across ChatGPT, Perplexity, Claude and Google AI Overviews, sitting next to rankings, Search Console and competitor data in the same place.
Having them together is what makes the data actionable. Knowing Hunch was missing from an answer is one fact. Knowing which pages that answer was quoting, and who owned them, turns it into a piece of work.
ContentMonk's AI read all of that together and returned specific opportunities to act on, ordered by what would move visibility rather than by search volume. The team worked through them, wrote the pages inside the tool, and published.
The next day's prompt run showed what had moved. That loop is short enough that the following week's plan gets written from evidence.
Three months in, Hunch is named in 27 percent of the tracked answers, up from none at the start.
The figure is measured against a fixed set of buyer questions re-run every day, so it reflects what a real buyer would see rather than a sample taken once.
The number climbed in steps as more of the buyer's questions got covered by something Hunch had written. Visibility in AI answers accumulates that way, one question at a time.
The work continues, and the same tracking that produced the figure now tells the team which question to answer next.
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