The Ultimate Guide to Prompt Research: 17 Ways to Find Prompts for AI Search

You've spent years mastering keyword research. You know how to rank on Google, but the way people search is changing fast, and in 2026, a growing chunk of your audience isn't typing short keywords into a search bar anymore. They're asking full questions to ChatGPT, Perplexity, and Google's AI Overviews, and those questions? They're called prompts.

If your content doesn't show up in the answers those AI tools generate, you're invisible to a segment of your market that's only getting bigger.

This guide walks you through 17 proven ways to do effective AI prompt research so you can find the exact prompts your audience is using and make sure your brand gets cited when AI answers them.

Search behavior hasn't just shifted. It's fractured. People still use Google, sure, but a significant portion of research-heavy queries now go straight to AI tools, and those tools don't pull from a ranked list of blue links. They synthesize answers from sources they've determined are credible, well-structured, and relevant to the specific question being asked.

The Shift from Keywords to Prompts

Traditional keyword research focuses on short phrases: "best CRM software," "SEO tips," "email marketing." These are fragments. AI prompts are different. They look more like: "What's the best CRM software for a 10-person sales team that uses HubSpot?" or "Give me three email marketing strategies that work for SaaS companies with a free plan."

That's a completely different beast. The intent is specific. The context is baked in, and the answer an AI gives is shaped by how well your content actually addresses that full, layered question, not just whether you mention the right keywords.

Knowing how to find AI prompts is the first step to showing up in those answers.

What's at Stake If You Ignore This

Honestly, a lot. If you're not tracking which prompts are being used in your niche, you have no way of knowing whether AI tools are mentioning your brand, citing your competitors, or ignoring your content entirely. You're flying blind.

AI prompt research gives you:

• A clearer picture of what your audience actually wants to know
• Content topics that align with how AI tools frame answers
• The ability to monitor and improve your AI search visibility over time
• A competitive edge over brands that are still stuck in keyword-only thinking

The brands investing in AI prompt research right now are the ones that'll own AI search visibility in 2026 and beyond.

Before we get into the 17 methods, let's get clear on what we're actually looking for.

Prompts Are Conversational by Nature

An AI prompt isn't a search query fragment. It's a full question or instruction that someone types into an AI tool expecting a real, detailed answer. These prompts tend to be longer, more specific, and much more contextual than traditional keywords.

Think about how you talk to ChatGPT versus how you search on Google. On Google, you might type "project management tools." In ChatGPT, you'd write something like "What project management tools are best for remote teams working across different time zones?" That second one is a prompt, and it tells you so much more about what the user actually needs.

Intent Is Everything

With keywords, you infer intent. With prompts, intent is spelled out explicitly. Someone asking "Should I use Notion or Asana for managing a 5-person startup?" is showing you their context, their options, their team size, and their decision stage all at once.

Your AI prompt research should capture these full-context questions, not just the surface-level topic. That's what makes this type of research so powerful for content strategy.

Now let's get into the 17 ways to actually find them.

Some of these methods are free. Some require tools. All of them work. The best approach is to combine several so you're pulling from different angles and building a well-rounded prompt library.

1. Mine Your Own Search Console Data

Your Google Search Console is sitting there right now with thousands of real queries people used to find your site. Many of these are full questions, especially the longer ones. Filter by queries that start with "how," "what," "why," "which," or "should." These are the conversational queries that overlap most with AI prompt behavior.

Export this data, strip out the fragmented single-word queries, and you've got a ready-made list of prompt-style questions your actual audience is already asking.

2. Use Semly Pro's AI Prompt Recommendations

This is the most direct path for SEO professionals and marketers who want to track AI visibility at scale. Semly Pro's platform includes built-in AI prompt recommendations, which surface prompts relevant to your industry and content focus. You don't have to guess. The tool does the heavy lifting by identifying which prompts are actually generating AI-driven answers in your niche.

Every plan includes AI prompt tracking, starting with 25 prompts per month on the Pro plan at €139/mo. The Business Pro plan at €229/mo bumps that to 50 prompts per month, and the Managed SEO plan at €469/mo gives you unlimited prompt tracking, managed by Semly Pro's team on your behalf.

If you want to see what prompts your competitors are being cited for, Semly Pro's AI competitor detection feature layers that in too.

3. Ask ChatGPT What It Gets Asked

This one sounds obvious, but most people don't actually do it. Open ChatGPT and ask it directly: "What are the most common questions people ask you about [your topic]?" or "What prompts do people typically use when researching [your niche]?"

ChatGPT will often surface patterns and question clusters you wouldn't have thought of on your own. It's not a perfect method, but it's free, fast, and surprisingly useful as a starting point for AI prompt research.

4. Check Perplexity's Related Questions

Perplexity is an AI search engine that shows follow-up questions below every answer it generates. These "related questions" are gold for prompt research because they show you the natural follow-on queries real users are exploring after their initial question.

Type in a topic your audience cares about and scroll through the follow-up questions Perplexity surfaces. Save the ones that are specific, contextual, and would require a detailed answer. Those are your target prompts.

5. Pull From Reddit and Quora Threads

Reddit and Quora are some of the richest sources of real, unfiltered user questions on the internet. People on these platforms ask things in a completely natural, conversational way, which mirrors how people prompt AI tools.

Search your topic on Reddit, filter by "Top" posts in the last year, and look at the questions being asked in the titles and comment threads. On Quora, the question format is already prompt-like by default. Collect the specific, nuanced questions that show real decision-making in progress.

6. Study Google's People Also Ask Boxes

Google's People Also Ask (PAA) feature is one of the most underrated sources for AI prompt research. Search any topic in Google and expand the PAA boxes. Each answer you click expands the list further, giving you a branching tree of related questions people are asking.

These questions are formatted conversationally and often match the style of AI prompts exactly. Scrape them manually or use a tool to pull them at scale. Either way, they're a reliable reflection of real search intent.

7. Use Answer the Public

Answer the Public is a tool that visualizes the questions people ask around any keyword. It pulls from autocomplete data and organizes questions by type: who, what, where, when, why, how, which, and comparison queries.

It's not AI-specific, but the question formats it surfaces are highly compatible with AI prompt structures. Run your core topics through it and pull out the longer, more specific questions that read like natural prompts someone would type into ChatGPT or Perplexity.

8. Scan Your Competitors' FAQ Pages

Your competitors have already done some of the work for you. Their FAQ pages represent questions they've identified as high-priority for their audience, which often maps closely to the prompts people use when researching that topic with AI tools.

Go through the FAQ sections of your top 5 to 10 competitors and document every question they answer. Then look for gaps, questions they don't answer well, or questions that appear on multiple competitor pages. Those gaps are where your content can stand out in AI-generated answers.

9. Check YouTube Comment Sections

YouTube comment sections are underused in SEO and AI prompt research alike. When someone watches a video about a complex topic, they often ask follow-up questions in the comments that the video didn't fully address.

Find the top videos in your niche and scroll through the comments. Look for questions that start with "But what about." or "How does this work when." or "What if I." These partial-context follow-ups are exactly the kind of layered, specific questions that make great AI search prompts.

10. Look at Your Own Site Search Logs

If your website has an internal search feature, that data is a direct window into what your visitors can't find. When someone searches on your site, they're telling you what they need and what your content isn't delivering clearly enough.

Pull your site search report from Google Analytics 4, look for the longer, more specific queries, and treat them as candidate prompts. These are people who are already engaged with your brand and looking for more specific answers, which is exactly the mindset someone brings to an AI tool.

11. Read Industry Forum Threads

Beyond Reddit and Quora, most industries have niche forums where practitioners talk shop. Think Warrior Forum for marketers, Stack Overflow for developers, or LinkedIn Groups for B2B professionals. These communities surface hyper-specific questions that don't always show up in mainstream keyword research.

Spend an hour in two or three forums relevant to your industry. Look for threads with lots of replies, because those indicate questions that people had strong opinions or experiences to share about. Document the original question in each thread, formatted as a prompt.

12. Pull From Customer Support Tickets

Your customer support team is sitting on a treasure trove of real user questions. Support tickets, chat logs, and email inquiries are written exactly the way people think and speak, which means they translate directly into AI prompt language.

Work with your support team to pull a sample of the 50 to 100 most common question themes from recent tickets. Reframe them as prompts. "How do I connect my CRM to your platform?" becomes "How do I integrate [tool] with [CRM]?" These prompts are highly specific and reflect real pain points your content can address.

13. Use Google's Autocomplete and Related Searches

Google autocomplete is a live signal of what people are currently searching for. Type your core topic into Google and pause before pressing enter. The dropdown suggestions are real-time search predictions based on actual user behavior.

Do the same at the bottom of a search results page for the "Related searches" section. Both of these features surface queries in a natural, conversational format. The longer suggestions especially tend to read like condensed AI prompts worth exploring further.

14. Study Podcast Transcripts and Episode Titles

Podcast hosts are masters at turning complex topics into specific, engaging questions. The episode titles themselves are often phrased as the exact question the episode answers, which makes them prompt-ready.

Search your niche on Apple Podcasts or Spotify, look at the top 20 to 30 episode titles across relevant shows, and pull out the questions. Then go further: many podcasts publish full transcripts, and the Q&A sections are packed with specific, layered questions guests field from hosts. These questions map closely to what a well-informed person would prompt an AI tool with.

15. Monitor Social Media Conversations

Social media platforms, especially LinkedIn, X (formerly Twitter), and Facebook Groups, are full of people asking real questions about topics they're struggling with. Set up searches or alerts for your core topics and monitor what people are asking publicly.

LinkedIn is particularly good for B2B prompt research. When someone posts a question in their feed about a tool, strategy, or business challenge, they're often phrasing it exactly the way they'd phrase a prompt to an AI assistant. Screenshot or save those posts and build them into your prompt library.

16. Run Prompt Gap Analysis With AI Tools

This is a more advanced method, but it's one of the most effective for AI prompt research at scale. The idea is to take a set of target prompts, run them through multiple AI tools like ChatGPT, Perplexity, and Google's AI Overviews, and track which sources get cited in the answers.

If your competitors show up and you don't, that's a prompt gap. You now know which questions you need to answer better in your content. If nobody's content shows up clearly, that's an opportunity: create something specifically designed to fill that gap and get cited.

Semly Pro automates much of this with its AI visibility score and citation tracking features, which makes running prompt gap analysis practical at scale without doing it manually for every prompt.

17. Crowdsource From Your Own Audience

Don't overlook the most direct research method of all: just ask your audience. Send a quick survey to your email list. Post a poll on LinkedIn. Add a question at the end of a form or onboarding flow: "What's the one question about [your topic] you wish you had a clear answer to?"

The responses you get will be written in plain language, with full context, and real intent behind them. That's the definition of a great AI prompt. Crowdsourcing this way also builds audience goodwill because people appreciate being asked.

If you're serious about AI search visibility, you need a dedicated tool for tracking prompts, not just finding them. Semly Pro is built specifically for this. It's not a general SEO platform that added AI as an afterthought. AI visibility tracking is at the core of what it does.

How Semly Pro Finds and Tracks Prompts

Semly Pro's AI prompt recommendations feature does the research legwork for you. Based on your industry and content focus, it surfaces the prompts that are most likely to be generating AI-driven answers in your niche. You can then track those prompts over time, see which ones your content gets cited for, and identify where competitors are showing up instead of you.

The platform tracks visibility across ChatGPT, Perplexity, and Google AI Overviews, which are the three AI search channels that matter most right now. You get an AI visibility score that tells you how you're performing across those channels at a glance, and AI alerts that notify you when something changes.

For agencies and teams, the Business Pro plan adds advanced AI metrics and LLMs. txt generation, which is the technical layer that helps AI tools understand and reference your content correctly. It also includes data export in CSV and JSON so you can pull prompt performance data into your own reporting workflows.

Pricing and Plans

Semly Pro offers three main plans, all billed monthly with the option to save 20% by switching to annual billing.

You can also add an AI Prompt Pack for €36/mo if you need more tracking prompts without upgrading your full plan. Every plan comes with a 7-day free trial, no commitment required. That's a solid way to test whether the prompt recommendations and tracking features actually move the needle for your specific niche before committing.

Here's how Semly Pro stacks up against other tools in the market for AI prompt research and AI search visibility tracking. Keep in mind that most traditional SEO tools weren't built with AI prompt tracking in mind, so the comparison isn't always apples-to-apples.

The takeaway here is clear. Most traditional SEO platforms are keyword-rank tools at their core. They weren't designed to track AI prompt performance, generate visibility scores across AI search channels, or help you optimize for citation in LLM-generated answers. Semly Pro is built from the ground up for exactly that.

You don't need to use all 17 methods at once. That would be overwhelming and honestly not the best use of your time. The right approach depends on where you are right now and what resources you have available.

Start With What You Already Have

If you're just getting started with AI prompt research, begin with the free methods that tap into data you already own or can access immediately:

• Your Google Search Console query data
• Your site's internal search logs in GA4
• Your customer support ticket archive
• A quick scan of Google PAA boxes for your core topics

These four alone can generate a solid starting list of 50 to 100 candidate prompts in a day or two. From there, you can test them manually against AI tools to see what comes up and whether your content gets cited.

This is a great way to validate whether AI prompt research is worth the investment for your specific situation before you commit to a paid tool.

Scale Up With Dedicated Tools

Once you've confirmed that AI search visibility is a real opportunity for your brand, the manual approach won't scale. You can't run 50 prompts through ChatGPT, Perplexity, and Google AI Overviews manually every week and have time for anything else.

That's where a platform like Semly Pro pays for itself. The AI prompt tracking and visibility scoring features automate the monitoring work so you can focus on acting on the data rather than collecting it. For agencies managing multiple clients, the Business Pro plan's multi-project setup and team seats make this practical at scale.

The Managed SEO plan goes even further. Semly Pro's team handles the prompt research, content creation, and AI visibility tracking for you on a weekly basis. If you want the results without the operational overhead, that's the path.

Bottom line: match your approach to your current stage. Start manual, validate the opportunity, then invest in tools that let you operate at scale without burning out your team.

What is AI prompt research?

AI prompt research is the process of identifying the specific questions and instructions that people type into AI tools like ChatGPT, Perplexity, and Google AI Overviews when searching for information. It's similar to keyword research, but focused on conversational, full-context questions rather than short search fragments. The goal is to find the prompts your target audience uses so you can create content that gets cited in AI-generated answers.

How is an AI prompt different from a traditional keyword?

A keyword is typically a short phrase like "best email marketing tool." An AI prompt is a full, conversational question like "What's the best email marketing tool for a small ecommerce store that sells handmade goods?" Prompts carry much more context and intent. They tell you not just the topic but the user's situation, their options, and what kind of answer they're looking for.

How do I find AI prompts if I don't have a big budget?

You can start for free using Google Search Console data, People Also Ask boxes, Reddit and Quora threads, and your own site search logs. Answer the Public also has a free tier that's useful for generating question clusters. These methods won't give you automated tracking, but they'll get you a solid list of candidate prompts to start working with.

How many AI prompts should I be tracking?

It depends on your industry size and content volume. For most solo marketers or small brands, 25 well-chosen prompts per month is enough to get meaningful visibility data. Agencies managing multiple clients or brands in competitive niches typically need 50 or more. The key is tracking prompts consistently over time so you can spot trends and measure the impact of your content changes.

Can I track whether my brand gets cited in AI search results?

Yes, and this is one of the most important things you should be doing. Tools like Semly Pro include AI citation tracking that monitors whether and how often your brand or content gets referenced in AI-generated answers for your target prompts. Without this, you're guessing about your AI search visibility rather than measuring it.

What's the difference between AI prompt research and regular SEO?

Traditional SEO focuses on ranking your pages in Google's blue link results based on keyword relevance, backlinks, and technical factors. AI prompt research focuses on ensuring your content gets cited in AI-generated answers, which are increasingly appearing before traditional search results or replacing them. Both matter in 2026, but AI search visibility requires a different type of content and a different tracking methodology.

How often should I update my AI prompt research?

At minimum, revisit your prompt list every month. AI tools change how they answer certain questions, new competitor content gets cited, and audience questions evolve as trends shift. If you're using a platform like Semly Pro, the AI alerts feature will notify you when something significant changes in your prompt performance, so you don't have to check manually all the time.

Do AI prompts vary by industry?

Absolutely. The prompts people use in a B2B SaaS market look completely different from those in a consumer health niche or an ecommerce fashion segment. That's why generic prompt lists don't work well. Your AI prompt research needs to be specific to your industry, your audience's level of sophistication, and the specific decisions your customers are trying to make. Industry forums, customer support data, and niche communities are your best sources for getting this specificity right.

Is LLMs. txt important for AI prompt visibility?

It's becoming more important. LLMs. txt is a file that helps AI tools understand your site structure and which content to reference when answering prompts related to your brand or topic area. Think of it as a structured guide for AI crawlers, similar in spirit to robots. txt for traditional search bots. Semly Pro's Business Pro and Managed SEO plans include LLMs. txt generation as part of their AI visibility features.

How do I get started with Semly Pro for AI prompt research?

The easiest way is to start a free 7-day trial with no commitment required. The Pro plan at €139/mo includes 25 AI tracking prompts per month along with an AI visibility score, competitor detection, and content tools. If you're running an agency or need more capacity, the Business Pro plan at €229/mo gives you 50 prompts per month and advanced AI metrics. You can also add an AI Prompt Pack for €36/mo to increase your prompt tracking volume without changing your base plan.