Prompt Research
What is Prompt Research? Definition, why it matters for AI visibility, how it works, and practical examples for marketers.
Prompt research is the process of identifying and analyzing the questions, queries, and prompts that users type into AI platforms like ChatGPT, Perplexity, and Google AI Mode to find information about products, services, or topics relevant to your brand.
Why Prompt Research Matters
Traditional keyword research tells you what people type into Google. Prompt research tells you what people ask AI assistants. The difference matters because AI prompts tend to be longer, more conversational, and more intent-specific than traditional search queries.
Fifty percent of B2B buyers now start with AI chatbots over Google, according to G2. Understanding what those buyers ask, and how they phrase their questions, is the foundation of any AI visibility strategy. A brand optimizing for the wrong prompts is invisible to the audience that matters most.
Prompt research also reveals citation opportunities. Profound's analysis of roughly 700,000 ChatGPT conversations found that the first turn in a conversation is 2.5x more likely to trigger citations than turn 10. By understanding common first-turn prompts in your category, you can create content structured to answer those specific questions and earn citations when they're most likely to appear.
How Prompt Research Works
Prompt research starts by identifying the questions your target audience asks AI platforms. This involves several approaches: surveying customers about how they use AI search tools, analyzing common phrasing patterns in your category, testing prompts across ChatGPT, Perplexity, and Google AI Mode to see what results appear, and tracking which competitors show up in responses.
Unlike traditional keyword research, prompt research focuses on natural language questions rather than short keyword phrases. "Best CRM for mid-market SaaS" is a typical prompt, while "CRM software" is a typical keyword. The prompt version reveals more intent and creates more specific content opportunities.
GEO strategies can boost visibility by up to 40% in generative engine responses, according to Princeton and Georgia Tech research. But those strategies only work when applied to the right prompts. Prompt research identifies which prompts to target before you invest in content optimization.
Example: Prompt Research in Practice
A marketing agency conducted prompt research for a SaaS client by testing 50 industry-relevant prompts across ChatGPT, Perplexity, and Google AI Mode. They discovered that ChatGPT returned the client's competitors for 38 of the 50 prompts but never mentioned the client. The prompts were conversational questions like "what's the best tool for [use case]" and "compare [Category] tools for [industry]."
Using this data, the team created content specifically structured to answer those 38 prompts, incorporating the answer-first formatting, FAQ sections, and data points that SE Ranking's research found drive ChatGPT citations. Within four months, the client appeared in responses to 14 of the original 38 prompts.
Related Terms
- Generative Engine Optimization: The broader discipline that prompt research supports
- AI Search: The user behavior that generates the prompts being researched
- Prompt Research for GEO: Complete guide to conducting AI prompt research
Frequently Asked Questions
How is prompt research different from keyword research?
Prompt research focuses on natural language questions users ask AI platforms, while keyword research targets short phrases typed into traditional search engines. Prompts are typically longer, more conversational, and reveal more specific intent than keywords.
What tools can I use for prompt research?
Currently, prompt research is mostly manual: testing queries across ChatGPT, Perplexity, and Google AI Mode and documenting results. Some AI visibility tools like AI Radar track brand mentions across AI platforms, which provides data on which prompts trigger brand recommendations.
How many prompts should I research?
Start with 25-50 prompts covering your core product categories, competitor comparisons, and common buyer questions. Expand as you build a baseline understanding of where your brand appears and where it doesn't.
Check your AI visibility for free and discover which prompts trigger your brand's appearance in AI search.
How is prompt research different from keyword research?
Prompt research focuses on natural language questions users ask AI platforms, while keyword research targets short phrases typed into traditional search engines. Prompts are typically longer, more conversational, and reveal more specific intent than keywords.
What tools can I use for prompt research?
Currently, prompt research is mostly manual: testing queries across ChatGPT, Perplexity, and Google AI Mode and documenting results. Some AI visibility tools like AI Radar track brand mentions across AI platforms, which provides data on which prompts trigger brand recommendations.
How many prompts should I research?
Start with 25-50 prompts covering your core product categories, competitor comparisons, and common buyer questions. Expand as you build a baseline understanding of where your brand appears and where it doesn't.