How to know what your customers are looking for in AI
October 18, 2025
7 min read
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By Filipe Lins Duarte
Customers are using AI chats like ChatGPT to discover brands. Learn how to understand what your customers are looking for in AI using monitoring tools like Peekaboo, Search Console data, and direct feedback to improve your visibility and messaging in AI-driven searches.
How to know what your customers are looking for in AI
Customers are starting to look for more information and buy from AI engines like ChatGPT more and more. Here at Peekaboo, we've heard this from our clients, and we've experienced it first-hand. Some of our own customers have found this through AI search.
In this article, we are going to review and explain how you can have a better understanding of what your customers are looking for in AI chats. There are various approaches you can take, including some that are not even mentioned in this article. We highly suggest you do your own research to complement some of the approaches we suggest.
Are people searching for information in AI even?
We get asked quite a lot: Are people searching for information and buying from AI chats? The answer is yes. The buying journey is becoming increasingly more dispersed. People aren't just googling for stuff anymore; they're also talking to AI chatbots, reading reviews on Reddit, and other social media platforms etc.
Regarding AI specifically, various studies show that when customers ask for feedback and information to AI engines, they convert better than if they were to simply make a search on Google. There was a recent study published by SEMrush that showed that customers who came from an AI conversation converted 4.4 times better than those who came from Google searches.
Ask your customers directly
This might be such an obvious approach that you're probably skipping it, which is to ask your customers directly where they found you. You can ask them this during calls (either sales calls or product feedback calls). If you're looking to do this at scale, include AI chats as an option on your product onboarding flows or post-purchase flows.
How to know what your customers are looking for in AI | PeekABoo Blog
Use an AI Monitoring Tool
Another way you can find out what your customers are looking for in AI is by using an AI Monitoring tool. We recommend that our customers leverage their own Google Search Console data to identify relevant queries their customers are looking for, alongside AI-generated prompts from these various monitoring tools.
Peekaboo is an effective AI monitoring tool that allows you to track and identify what your customers are looking for in AI engines. Their packages start at just $100/month, allowing you to track up to 40 prompts on a daily basis. However, if you contact the team directly, you can get a custom pricing tailored to your needs and budget, and adjust the number of prompts and tracking frequency to your liking. With Peekaboo, you can define various relevant prompts for your business and industry through its AI-suggested prompts. These prompts are created based on your brand information, industry, and key competitors, and the intent of the prompts you want to define (purchase intent, sentiment analysis, informational, etc).
The team at Peekaboo has also put together various custom Regex expressions that you can use on your Google Search Console to identify queries that your customers are actually looking for on Google. Those serve as a great starting point to also define which prompts to track inside your AI monitoring tool. We will show some of these custom expressions further down below.
LLMRefs
LLMRefs is another solid AI monitoring tool that can help you better understand what your customers are looking for in LLMs. They have a reasonable entry price point at just $79/month. Some of the things we liked the most about LLMRefs are the fact that you can track prompts in multiple countries and languages at once, and that they offer a huge array of free tools that you can use to start your AI visibility journey.
LLMRefs also has one of the widest coverages in terms of the AI engines that they track. We were looking at their website, and they claim to track prompts across at least 10 AI engines.
Promptwatch
Promptwatch is a solid AI monitoring tool that helps you track how your brand and competitors are showing up inside AI-generated answers. You can define and follow specific prompts relevant to your business and industry, and see exactly how tools like ChatGPT, Claude, or Gemini respond.
Their dashboard gives you a clear view of where your brand stands, what kind of questions your audience is asking, and where you might be missing out. It’s great for teams who want to take a more data-driven approach to AI visibility and understand how customers are interacting with AI search experiences.
Evertune
Evertune is yet another great platform to get a real sense of what customers see when using AI tools, because let's face it, it's not always what our marketing teams think it's going to be. The platform lets you actually track how visible your brand is to customers, what people are saying about you (good or bad), and even how you stack up against the competition across multiple different AI models.
They're pretty well known for running huge prompt analysis, so you can drill down into the kinds of questions people are actually asking & how those AI tools are representing your business. It's the perfect solution for brands that want to close the gap between SEO and how people interact with AI - so you aren’t missing out when customers ask AI for recommendations.
How to know what your customers are searching for in AI engines from Google Search Console Data
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What’s the best way to know what your customers are looking for in AI?
At the end of the day, it all comes down to your business, your audience, and what level of analysis you're aiming for. What works for one company won't necessarily work for another. The key is to get a good balance between hearing directly from your customers and having data to back it up - whether that's through tools like Peekaboo, LLMRefs, Promptwatch, or Evertune.
So, do an analysis of how your customers actually found out about you - get them to tell you that's the first step, then get into your Google Search Console data to see what people are actually searching for. And after that, layer all that on top of what you can learn from monitoring what goes down inside AI engines.It's pretty clear, though, that people already are using AI chats to get recommendations, compare products, and actually make buying decisions. And the companies that are going to really take off are the ones who understand what those AI chats are being asked to do - and how the answers are coming out.
So start small - pick one or two AI monitoring tools to get a feel for the whole thing and see where it takes you. And then use what you learn to start tweaking your messaging and content with the aim of staying a step ahead of how customers are actually starting to find info on AI engines. The sooner you adapt to what customers are doing, the better placed you'll be to catch that next wave of demand when it comes along.
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Filipe Lins Duarte
I'm Filipe, the CEO & Co-Founder of Peekaboo. I lead all commercial and customer facing functions here at the company. I am obsessed about making sure our customers are heard and have a great experience with us!
