Prompt Research
AI Prompt Research Lab
Stop optimizing for keywords. Start optimizing for the questions buyers actually ask AI.
What this solves
Traditional keyword research tells you that “best CRM software” gets 50,000 monthly searches. But when a buyer asks ChatGPT, they say: “I run a 50-person B2B SaaS company and need a CRM that integrates with HubSpot and handles complex deal stages. What are my best options?” The prompt contains 10x more intent. If your content doesn't match prompt patterns, AI won't cite you.
How it works
Prompt Mining
We discover the actual conversational queries buyers ask AI engines in your category. Not search volume — prompt patterns, context, and the specific language buyers use.
Intent Clustering
We group prompts by buyer journey stage — awareness, consideration, decision — and map specific content needs to each cluster.
Citation Reverse-Engineering
For each prompt cluster, we analyze which brands AI currently cites and why. What content earned the citation? What's the structure, source authority, and entity clarity?
Opportunity Scoring
We score each opportunity by: competition level, citation gap, business value, and content feasibility. You invest in the highest-ROI opportunities first.
The difference
Traditional Keyword Research
“best CRM software”
Volume: 50,000/mo
Intent: Vague
Competition: Extreme
Content: Generic listicle
AI Prompt Research
“I need a CRM for 50-person B2B SaaS that integrates with HubSpot”
Intent: Purchase-ready
Content: Specific comparison with integration details
How this is different
Keyword research answers “what do people type into Google?” Prompt research answers “what do buyers ask AI when they're ready to evaluate vendors?” These are fundamentally different questions that require fundamentally different content strategies.
Discover what buyers ask AI about your category
Our audit includes a sample prompt research report for your industry.