Prompt Research for AEO and GEO: Best Discovery Techniques
To research prompts for AEO, collect the real questions buyers ask about your topics, from Search Console, sales calls and community threads. Expand each question with prompt suggestions and query fan-out. Then score prompts on demand and buying intent, plus product fit, and track the top 25 to 100 on every AI platform.
Few people type a two-word keyword into ChatGPT. They ask something like "How do I improve AI visibility for a B2B brand?" and then ask a follow-up.
Those questions are longer than keywords, more specific and closer to a decision. Here are nine ways to find them, a scoring method for picking which ones to track, and what our own prompt data says about where a brand can win.
Key takeaways
Prompt research finds the questions buyers ask AI assistants, plus the follow-up searches AI systems run before they answer.
About half of ChatGPT messages (49%) are people asking for information or advice, according to OpenAI's 2025 usage study.
Start from topics, not single prompts. Each topic yields a cluster, from definitions and how-tos to comparisons and recommendations.
AI platforms don't publish full prompt data. Check demand against Search Console queries and estimated prompt volumes.
Query fan-out turns one tracked prompt into the sub-questions your page has to answer.
In our data, niche prompts averaged several times the visibility of broad category prompts.
What is prompt research for AEO and GEO?
Prompt research is the process of finding the questions people ask AI answer engines about your category. You then choose which ones to track and optimize for.
Five things set it apart from keyword research. Prompts are full questions that carry context, such as a team size or a budget. Many of them ask for advice or a recommendation rather than a list of pages.
Users also refine the question in the same conversation, so one topic produces several prompts. Behind the scenes, the AI system runs its own related searches before it answers.
And success looks different. You win a mention or a citation in the answer, not a position in a list.
OpenAI's study of 1.5 million ChatGPT conversations found that 49% of messages were Asking. People treat the assistant as an advisor, so your prompt list should read like real advice requests.
The best prompt discovery techniques for GEO and AEO
Use several techniques together. Each one finds prompts the others miss.
1. Start from your domain and the topics AI links to your business
Begin with what your company should realistically be visible for: your products and use cases, your audience, your market. Topics come first, because every topic can produce dozens of useful prompts.
In Ansvisor, an open-source AI search intelligence platform, you add your domain first. An agent then researches your brand and market, looks at competitors and suggests topics.
Prompt discovery starts by adding your domain in the Brand section.
For an AI visibility platform, topics might include AI visibility, GEO, AEO, citation monitoring, prompt monitoring and query fan-out. Pick the topics that deserve continuous tracking.
AI-generated topic recommendations in the Brand section.
2. Build a prompt cluster for every topic
Expand each topic into prompts that cover different intents. A useful cluster has at least one of each:
"What is AI visibility?" for a definition.
"How do I improve AI visibility for a B2B brand?" for how-to intent.
"AI visibility tools vs traditional SEO tools for a small team" for a comparison.
"Best AI visibility software for agencies" for a recommendation.
"Why doesn't my brand show up in ChatGPT?" for a problem.
Matching each prompt to its search intent tells you what kind of page should answer it. An AI prompt generator can draft these clusters, which you then edit into your buyers' wording.
AI-generated prompt recommendations, added to tracking with the + action.
3. Mine Search Console for question-style queries
Your Search Console performance report already holds prompt-like queries. Filter for question words (how, what, why, which), queries that start with "best" and anything containing "vs". Sort by impressions.
Long queries of six words or more are often typed the way people talk to an assistant. The Search Console integration brings these queries into prompt research automatically.
One catch: Search Console's Generative AI report shows impressions by page, not the queries behind them. Use the main performance report for query wording.
4. Read Bing's grounding queries
Bing Webmaster Tools offers rare first-party prompt data. Its AI Performance report lists grounding queries: the key phrases AI used when retrieving content it cited.
Grounding queries show the searches behind Copilot answers that cite you. Add the recurring ones to your prompt list and check which page they point to.
5. Collect questions from sales, support and communities
Sales calls, support tickets and demo notes contain the exact wording buyers use before they choose. Ask your sales team for the five questions they hear most each month.
Communities matter too. In Ansvisor tracking data from September 15 to October 14, 2026, reddit.com held a 14.5% citation share among third-party domains in AI answers.
6. Ask the AI platforms directly
Run your seed prompts on ChatGPT, Google AI Overviews, AI Mode, Gemini, Copilot and Claude in signed-out sessions. Note the follow-up questions each platform suggests and the brands it names.
Ask each platform for the questions a buyer in your category would ask next. Treat the output as raw ideas to check against real demand. It isn't demand data.
For a question about fixing a lawn full of weeds, fan-out queries might cover the best lawn herbicides and how to prevent weeds. Each one is a sub-question your page may need to answer.
Query fan-out shows the supporting searches AI systems run before answering a prompt.
A query fan-out tracker shows these supporting searches for each tracked prompt. You also see how often they recur and whether you already track them.
Google warns against creating a separate page for every fan-out query. Cover the closest sub-questions on one strong page instead.
8. Reverse-engineer competitor citations
Look at the URLs AI engines cite for your best prompts. Each cited competitor page answers a set of prompts, and its headings often reveal questions you haven't considered.
List those questions. Then check whether any page on your site answers them as directly.
9. Prioritize with demand estimates
Not every good prompt deserves tracking. Some have almost no demand, while others represent thousands of monthly searches.
Estimated prompt volumes combine search demand with other signals. They're estimates, so use them to rank prompts, not to forecast traffic.
Estimated prompt volumes in the Prompts section help you prioritize.
How to research prompts for AEO, step by step
List five to ten topics your brand should own, based on products, use cases and audience.
Collect raw questions. Start with Search Console and Bing grounding queries, then add sales notes, support tickets and community threads.
Build a cluster for each topic that covers all five prompt types.
Expand with fan-out and competitor citations to find the sub-questions behind each prompt.
Score the candidates with the criteria below and pick the ones to track.
Refresh the tracked set every month as new questions and competitors appear.
AEO prompt selection: how to choose which prompts to track
Score each candidate prompt from 1 to 3 on five criteria, then track the highest totals first.
Demand: estimated prompt volume or Search Console impressions.
Intent: how close the prompt is to a buying decision.
Fit: whether your product is a credible answer.
Gap: competitors are named or cited and you aren't.
Answerability: you have, or can publish, a page that answers it well.
We track prompts about AI search, and in one month they produced 103,427 AI answers and 746,702 citations. Source: Ansvisor tracking data, September 15 to October 14, 2026.
In our data, niche prompts averaged several times the visibility of broad category prompts. We're visible where we hold a distinct position (open source). Broad definition prompts such as "What is GEO?" are much harder to win.
Group your own prompts by topic the same way. The averages show where you already win, and where you need a new page or third-party coverage.
How to track prompts for AEO after discovery
Discovery only pays off once the prompts run on a schedule. Run the same prompts on each platform every week and log mentions, cited URLs and competitors.
New prompt suggestions keep the tracked set current.
Then use the tracked prompts to plan content. The AI content optimization workflow shows how a prompt becomes a brief, a page and a citation.
How Ansvisor helps with prompt research
Ansvisor starts from your domain, suggests topics and prompt clusters, and adds estimated volumes. Query fan-out and competitor citations then show the sub-questions behind each prompt.
Prompt monitoring tracks visibility for every prompt, with mentions and citations counted separately. Your team can attach notes and a target URL to each prompt and set its status.
Start from the topics your brand should own and collect real questions from Search Console, sales calls and communities. Expand them with prompt suggestions and query fan-out, then score each one on demand, buying intent and product fit. Track the best ones weekly.
How is prompt research different from keyword research?
Keyword research looks at short search terms and the pages that rank for them. Prompt research collects full conversational questions, their follow-ups and the searches AI systems run before answering. You win a mention or citation in the answer, not a ranking.
How many prompts should you track for AEO?
Start with 25 to 100 prompts spread across your main topics and funnel stages. That's enough to see patterns by topic and platform. Add prompts as you find new questions, and pause ones that no longer matter.
How do you choose which prompts to track for AEO?
Score each prompt on demand, buying intent, product fit, competitor gap and whether you can answer it well. Track the highest scores first. Include some broad definition prompts, but give priority to prompts close to a buying decision.
Are AI prompt volumes exact?
No. AI platforms don't publish full prompt data, so prompt volumes are estimates built from search demand and other signals. Use them to rank prompts against each other, not to forecast exact traffic.
Prompt discovery isn't about collecting hundreds of questions. It's about understanding which conversations AI systems have before they recommend your brand—and building the evidence to become part of those conversations
— Cihan Geyik, Co-founder of Ansvisor
About the Author
Cihan Geyik
Co-founder at Ansvisor
Cihan Geyik is the co-founder of Ansvisor, an open-source, cloud-ready AI Visibility platform for AI Search. With more than 15 years of experience in digital marketing and growth, he writes about AI visibility, AI search, AEO, GEO, citations, and answer engines. He focuses on helping brands understand and improve their presence across ChatGPT, Gemini, Perplexity, Google AI Overviews, and other AI-powered discovery platforms.