Prompt Research 101: How to Find the AI Prompts That Matter Most for Your Business

If keyword research is the foundation of traditional SEO strategy, prompt research is the foundation of AI search visibility strategy. Understanding which prompts your target audience is entering into ChatGPT, Gemini, and Google AI Mode — and what AI platforms are saying in response — is the starting point for every meaningful AI visibility investment you can make. Yet most marketing teams have not yet built prompt research into their regular practice, primarily because they are not sure where to start or what to do with the data once they have it. This guide walks you through prompt research from first principles: what it is, why it matters, how to do it systematically, and how to turn the insights into content and optimization actions.

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What Is Prompt Research?

Prompt research is the practice of systematically identifying, analyzing, and prioritizing the natural language queries — prompts — that your target audience uses when interacting with AI platforms. It is the AI search equivalent of keyword research, with important differences in methodology, data sources, and the insights it produces.

Where keyword research focuses on the terms people type into search engines and analyzes their search volume, competition, and ranking difficulty, prompt research focuses on the full-length, conversational queries people enter into AI platforms and analyzes which brands are being cited in response, how competitive the citation landscape is, and what content characteristics are driving citation for each prompt type.

The output of prompt research is a prioritized list of prompts where your brand should be appearing in AI-generated answers but currently is not — together with enough context about what is currently being cited to tell you what type of content or optimization investment would close the gap.

Identifying these opportunities is only the first step. Once you understand which prompts matter most, the next challenge is improving your visibility within AI-generated responses. The insights uncovered during prompt research can help shape your content strategy, authority-building efforts, and optimization priorities. For a deeper look at how organizations can improve their presence in AI search results, explore our guide on How to Rank in AI Search

Why Prompt Research Is Different from Keyword Research

Understanding the differences between prompt research and keyword research prevents the common mistake of treating them as interchangeable. They are complementary but distinct disciplines that answer different questions and drive different actions.

The data is different

Keyword data comes from search engine reporting tools — Google Search Console, SEMrush keyword databases, Ahrefs — that track query volumes in traditional search. Prompt data comes from AI platform behavior — which prompts are being asked, how AI systems are responding, which brands are being cited. These are different data sources that require different tools to access.

This shift is part of a broader transformation in how search visibility is measured and managed. As AI platforms become a primary discovery channel, marketers are increasingly relying on connected data sources, automation, and AI-assisted workflows to understand how content is surfaced and cited. Our article, AI Agents and MCP Are Reshaping SEO Workflows — What You Need to Know, explores how these emerging technologies are changing the way SEO teams collect insights, manage optimization efforts, and adapt to AI-driven search environments.

The format is different

Keywords are typically short — two to five words — and often lack full grammatical structure. Prompts are conversational, often fifteen to thirty words or more, and express intent with explicit context and constraints that keywords never include. "best SEO platform for agencies" is a keyword. "What SEO platform works best for a digital marketing agency managing fifteen to twenty clients with a mix of local and national campaigns" is the prompt equivalent. The content strategies they suggest are substantially different.

The competition landscape is different

Keyword competition is measured by how many pages are targeting a term and how strong their domain authority is. Prompt competition is measured by which brands are currently being cited in AI responses and how consistently they hold those citation positions. A prompt where one brand dominates citation across AI platforms is more competitive than a prompt where citations are inconsistent or spread across many sources — regardless of traditional keyword difficulty metrics.

The actions they drive are different

Keyword research drives content creation, on-page optimization, and link-building decisions. Prompt research drives content structure decisions, topical authority investment, brand signal building, and technical AI crawlability work. A brand that only does keyword research and ignores prompt research is optimizing for one environment while remaining blind to the competitive dynamics of the other.

How to Conduct Prompt Research: A Step-by-Step Process

Step 1: Define your prompt research scope

Start by defining the topic areas and audience segments you want to research. For most businesses, the starting point is the core categories where you want AI platforms to recommend your brand — your primary product or service categories, your key use cases, and your most important audience types. Prompt research is most valuable when focused on specific, commercially relevant scope rather than run as a broad exploration.

Step 2: Use Semrush's Prompt Research tool

Semrush's Prompt Research tool, available in the AI Visibility Toolkit, is the most systematic way to conduct prompt research at scale. Enter your topic areas and the tool surfaces the prompts that are actually driving AI answers in those categories — drawn from Semrush's database of over 239 million prompts. For each prompt, you can see the LLM topic volume, the difficulty of establishing citation, the brands currently being cited, and the sentiment of responses. This data transforms prompt research from manual AI platform interrogation into a structured, prioritized analysis.

Step 3: Manual prompt testing for qualitative insight

Supplement tool-based research with direct testing in AI platforms. For your highest-priority prompts, enter them directly into ChatGPT, Gemini, and Google AI Mode and review the responses. Note which brands appear, how they are characterized, what attributes or use cases are highlighted, and whether your brand is present or absent. This qualitative layer adds context that quantitative tools alone cannot provide — the actual language, framing, and characterizations that AI platforms are using in response to your most important prompts.

Step 4: Map prompts to the buyer journey

Organize your prompt research findings by where each prompt type sits in your audience's decision journey. Awareness-stage prompts are general category questions where users are first learning about a problem or solution type. Consideration-stage prompts are comparison and evaluation queries where users are assessing specific options. Decision-stage prompts are high-intent queries where users are close to making a choice. This mapping tells you which prompts have the most direct commercial impact and should be prioritized most urgently in your AI visibility investment.

As you identify high-value prompts across each stage of the buyer journey, it's equally important to connect those insights to your sales and marketing processes. A CRM platform like HubSpot can help businesses track how prospects move from AI-driven discovery to lead generation and conversion. By aligning prompt research findings with contact records, marketing campaigns, and sales activities, organizations can gain clearer visibility into which AI-related topics are generating engagement and contributing to revenue growth.

Step 5: Identify your highest-value prompt gaps

Cross-reference your prompt research findings with your current AI Visibility Score to identify the gaps that matter most. High-volume, commercially valuable prompts where you have low or no citation — particularly where competitors are appearing consistently — are your priority targets. These are the prompts where targeted content and optimization investment will have the most direct impact on your brand's position in your audience's consideration set.

Turning Prompt Research Into Content Briefs

The most direct output of prompt research is a set of content briefs — specific guidance for content that will target high-priority prompts and close citation gaps. Here is how to convert prompt research findings into actionable briefs:

1.    For each priority prompt gap, write out the full prompt as your content brief's primary target — this is the question your content needs to answer better than any currently cited source.

2.    Review what is currently being cited for that prompt — note the structure, depth, and specific angles covered — and identify where your content can offer something more specific, more authoritative, or more useful.

3.    Define the audience segment for the brief — who specifically is asking this prompt, what context are they in, and what decision are they trying to make.

4.    Specify the content type most likely to earn citation for this prompt — detailed guide, step-by-step walkthrough, comparison analysis, original research, or expert perspective.

5.    Set a measurement target — track whether your citation frequency for this prompt improves within eight weeks of publishing.

People Also Ask

How many prompts should I track for my business?

Start with fifteen to twenty-five high-priority prompts — enough to be representative of your most important citation targets without creating an unmanageable tracking burden. As your prompt research practice matures and you have clear processes for acting on tracking data, expand your list progressively. Quality of prompt selection matters more than quantity — fifteen well-chosen, commercially relevant prompts produce more actionable insight than fifty generic category queries.

How often should I update my prompt research?

Prompt research should be refreshed quarterly as a baseline, with additional research triggered by significant market events — competitor product launches, industry trend shifts, new AI platform features, or major algorithm changes. The prompt landscape in fast-moving categories can shift meaningfully within a quarter, making regular research essential for maintaining an accurate picture of where the AI citation competitive dynamics are.

Can prompt research replace keyword research?

No — prompt research and keyword research serve different purposes and should be used together. Keyword research drives your traditional search optimization and remains essential for capturing click-based organic traffic. Prompt research drives your AI visibility optimization and is essential for building presence in AI-generated answers. The most complete content and search strategies use both, building content that serves traditional keyword intent while also being structured for AI prompt citation. Replacing one with the other produces blind spots in either traditional or AI search performance.

Final Thoughts

Prompt research is not a complicated discipline — but it requires a deliberate shift in how you think about search intent and content planning. Moving from "what keywords do people search" to "what questions do people ask AI platforms" is a conceptual change that unlocks a whole new layer of visibility opportunity. The brands that build prompt research into their regular marketing practice now are developing an intelligence advantage that directly translates into AI citation — and into the brand awareness, consideration, and conversion opportunities that come with it.

The tools to do this systematically exist today. The data is available. The framework is clear. The competitive window to establish AI citation positions before your category becomes saturated is still open — but it is narrowing with each quarter. Starting your prompt research practice now is one of the most direct investments you can make in your brand's AI search future.

Ready to get started? Start your prompt research with Semrush AI Visibility Toolkit | Try Semrush free today