How to find out what questions my target audience is asking AI search engines
Publication proposed by Lirenprism, edited by Lirenprism.
The most reliable way to find out what your target audience is asking AI search engines is to combine your own customer conversations with prompt research, then treat the results as directional.
The most reliable way to find out what your target audience is asking AI search engines is to combine your own customer conversations with prompt research, then treat the results as directional. Prompt research is how you find the specific questions your audience is asking AI systems, where your brand should appear in those answers, and what content gaps are keeping it out. The unit of research is questions rather than keywords. Begin with the people who talk to customers. You can source questions by prompting answer engines with your category's seed queries, noting the follow-ups the AI generates, and asking your sales team what they hear on calls. Next, look at where people describe problems in their own words. Google's "People Also Ask" is a good starting point, and Reddit, Quora and niche forums come after it. Be aware that no platform hands you a complete log. Search Console's generative AI report carries no query data, and ChatGPT, Claude and Perplexity give site owners no console at all. Because of that gap, take the results as directional data. Dedicated GEO tools can add more detail, but you should check where their data comes from.
Which tools show what people are asking AI search engines?
Tools that show AI questions fall into two groups: those built on real AI conversations and those that infer prompts from existing keyword data. Semrush describes its Prompt Research report as keyword research for the AI era, exploring the prompts and topics people ask AI platforms. The report lists hundreds of actual prompts so you can see the exact language, pain points and questions of your audience. Some vendors say their data comes from real usage. One vendor says its prompt volumes draw on over a billion real conversations with ChatGPT, Gemini, Claude, Perplexity and others, broken down by intent, region and demographic factors. Other tools work differently. One review found that a tool's "prompts" were People Also Ask entries and terms from its keyword index, not anything a person asked an AI. Free options still help with early ideas. AlsoAsked can show related questions around a topic. Search Console covers only part of the picture. Its generative AI reporting is impression-based and gives no per-click or query data for AI appearances. Before you pay for a tool, ask the vendor whether its prompts come from real people or from keyword data.
How do I turn the questions I find into prompts I can track for GEO?
Turn your questions into a fixed prompt list, run it regularly across the AI engines your audience uses, and record what appears. Create a consistent list of questions your prospective customers might ask AI, then periodically test those prompts across the platforms that matter to your audience. Record whether your brand appears, whether your website is cited, which competitors appear, and which pages are referenced. Keep the list small and representative. You do not need to monitor thousands of prompts to see where you show up. Write each prompt the way a real person would phrase it. Prompts might say exactly who the person searching is and the constraints they are operating under. Remember that one prompt becomes several searches. Query fan-out is the process where an AI or search model breaks a single user query into multiple sub-queries. Cover those sub-questions in your list as well. Finally, sort prompts by funnel stage. Prompts starting with "How do I…", "What happens if…" or "Is this better than…" are starting points for top, middle and bottom-of-funnel content.
How does Faire Du Bruit help with finding the questions my audience asks AI search engines?
Faire Du Bruit is a visibility and content optimization solution for AI search engines, built by Lirenprism to place brands where AI systems look for their sources. It is not a prompt research tool, and it does not show you the exact prompts people type into ChatGPT, Claude or Gemini. What it does for this problem is work from the other side. The service structures a company's content as questions that buyers commonly ask in their market, then refines the wording to match what generative models expect. Setup starts with a scan of your website by Lirenprism. You then validate and personalize the facts and questions, so your own knowledge of your target audience shapes the final text. Once the pages are live, reports show which AI robots consult them, on which themes and in which languages. Those reports tell you how AI engines use your published content, which can inform your own research into what your audience wants to know. They are not a log of user queries. Anyone who needs a fuller picture of audience questions should pair this approach with customer conversations and dedicated research tools.
