5 tools
AI cannot interview your customers. What it can do is structure what you already know, generate the hypotheses worth testing, mine the language buried in reviews and support tickets, and design the research that turns guesses into evidence. Every output here draws that line explicitly.
This AI writing assistant produces a research-shaped ICP: the job your buyer is hiring you for, what blocks them, the objections they raise, who else is in the decision, and the phrases they use to describe the problem..
Describe your product and who it's for, and this tool reasons through the pain points that audience is likely experiencing, organised by category and severity.
Paste in real customer text — reviews, support tickets, survey responses, forum posts — and this tool pulls out the words, phrases and framing your audience actually uses to describe their problem and your product.
Describe your product and audience, and this tool reasons through which awareness stage — unaware, problem-aware, solution-aware, product-aware or most-aware — your audience is most likely at, then suggests messaging angles suited to that stage.
Paste in customer feedback from reviews, support tickets, sales call notes or survey responses, and this tool organises it into clear themes, flags overall sentiment per theme, and ranks what shows up most often.
The pain-point mapper separates what you actually told it from what it is inferring, and marks every row accordingly. It will not invent a customer quote, a market statistic or a demographic breakdown — and it ends with the five questions to ask real customers this week to check its work.
Paste reviews, survey answers, support tickets or call notes and the language analyser clusters them into themes, counts occurrences within that sample only, and pulls verbatim phrases that genuinely appear in the text. Then it turns those exact words into headlines and objection responses.
Most messaging fails because it is written for a level of awareness the audience has not reached. The awareness analyser names the level your channel actually delivers, judges your current headline against it, and rewrites for the level in front of you plus a bridge for the one below.
No, and it says so. These tools produce structured strategic hypotheses from your own inputs plus the research design to validate them. Anything presented as a finding would have to come from your customers, not a language model.
No. The prompts explicitly refuse to fabricate search volumes, market sizes, demographic splits or competitor figures. For keyword data, use a dedicated research tool and paste the numbers into the planner.
The ICP builder defines the segment worth selling to and the personas inside it, including explicit disqualifiers. The pain-point and awareness tools then go deeper on one of those personas at a time.
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