TL;DR: One prompt replaces manual keyword clustering, intent mapping, competitor analysis, and buyer psychology research. What used to eat half your day now takes 20 minutes.
SEO research before writing anything used to be brutal. Pull keywords. Cluster intent. Map entities. Check competitors. Tab after tab, tool after tool. By the time you finished, half the day was gone and you hadn’t written a single sentence yet. And even then, you weren’t sure if the research actually captured what buyers were thinking, or just what they were typing.
Someone on Reddit built a prompt that compresses all of that into one structured run. The output is a JSON dataset, not a content brief. Just the research layer, done properly, in a format you can actually use downstream.
What the Prompt Actually Does
It runs 8 sequential steps:
- Query expansion (service, cost, comparisons, problems, compliance)
- 5-stream query classification
- Intent clustering from informational to transactional
- Entity extraction using the PPR model (Purpose, Property, Relationships)
- Competitor analysis, what’s missing, what’s weak
- SERP analysis (featured snippets, PAA questions, dominant intent)
- Buyer psychology, motivations, concerns, decision triggers 🧠
- Topical map (core, supporting, differentiation topics)
The buyer psychology step is the one that actually changes how you write the page. Not just what keywords to target. What the buyer is afraid of, and what pushes them to decide. Most SEO tools give you search volume and difficulty scores. They don’t tell you why someone hesitates on a pricing page or what specific objection kills a deal at the last second. This prompt surfaces that layer directly.
The entity extraction step is underrated too. The PPR model forces you to think about your topic as a network of connected concepts, not just a keyword list. That’s what Google is actually evaluating when it decides whether your page is authoritative.
Real Example: Healthcare Software
The author tested it on healthcare software development for the US market. Generic research would have pointed at “feature lists” as the main content angle. The prompt surfaced something different:
- Buyers care more about HIPAA compliance and data security than UI
- Cost and ROI clarity is a major decision blocker
- Most competitor pages are thin on real use cases and pricing logic
That’s not keyword data. That’s page strategy. The compliance angle alone changes your entire header hierarchy, what you lead with, and which trust signals you prioritize above the fold. And it came out of one prompt run, not a full day of digging through forums, Reddit threads, and competitor sites trying to reverse-engineer what buyers actually care about.
Who Gets the Most Out of This
This is most useful if you’re writing B2B service pages, landing pages, or pillar content where ranking alone isn’t enough. You need to convert, not just show up. If your page gets traffic but struggles with time-on-page or form fills, the problem is usually research, not writing.
- 📄 Freelance SEO writers who need research speed without sacrificing depth
- In-house content teams working across multiple verticals with tight turnaround windows
- Founders writing their own service pages who don’t have time to become SEO experts
- Agencies onboarding new clients fast and needing a repeatable research baseline
Prompt of the Day
Here’s the full prompt. Drop in your service, audience, and market and let it run:
You are a B2B Semantic Research Engine. INPUT: SERVICE: [Your service] AUDIENCE: [Who buys this] MARKET: [Country] OBJECTIVE: Build a structured dataset for ranking + conversions. STEP 1: Query Expansion - service intent (hire, company, services) - solution-specific (sub-services, use cases) - cost queries - comparison queries - problem queries - compliance/security queries STEP 2: 5-Stream Classification - representative - sequential - correlative - boolean - implicit STEP 3: Intent Mapping Cluster into: - informational - commercial - transactional - problem-solving STEP 4: Entity Extraction (PPR Model) - Purpose - Property (features, integrations, security) - Relationships - Compliance terms - Tech stack - Industry standards STEP 5: Competitor Analysis - common sections - missing depth - weak areas STEP 6: SERP Analysis - featured snippets - PAA questions - dominant intent STEP 7: Buyer Psychology - motivations - concerns - decision triggers STEP 8: Topical Map - core topics - supporting topics - differentiation topics OUTPUT: Return JSON structured data.
Use the output to build your outline, set your section order, and plan internal linking. The JSON format makes it easy to plug into whatever writing workflow you already run. If you use a content brief template, the buyer psychology and topical map sections drop straight in. If you’re working with a writer, the JSON gives them real context instead of a vague list of keywords to “naturally include.”
Try It Before Your Next Page
Pick any service page you’ve been putting off. Run this prompt before you touch the outline. Compare what you get to what you would have written from gut feel. Look specifically at the buyer psychology output and ask yourself honestly whether you would have included any of that without being prompted.
The gap between those two things is exactly how much time you’ve been burning on guesswork.
I replaced 3–5 hours of SEO research with this prompt (now takes ~20 minutes)
by u/vijaybhabhor in ChatGPTPromptGenius