Quick Topical Cluster Generator (Seed Theme → SERP Signals → Cluster Set)
Generate themed clusters from seed topics using SERP-style cues for quick planning and ideation.
Prompt Overview
Tips For You
- Add 1–2 buyer pains per seed to improve title specificity. - Set a weekly capacity number so the model right-sizes Quick Wins. - Include product differentiators to sharpen angles. - Paste results into Sheets to track production status.
From Operations TeamNexusAi TechnologyProblem It Solves
Eliminates blank-page ideation and scattered topics by building cohesive, SERP-aligned clusters.
Seed-to-cluster expansion
Rapidly turns a few themes into a full cluster plan.
Quick-win filter
Surfaces near-term posts likely to rank and convert.
Angle guidance
Adds differentiating angles to avoid generic content.
Content type mapping
Aligns each topic with the best content format.
AI Prompt Instructions
Act as: An SEO strategist who specializes in cluster-first content architectures for topical authority.
Why this task matters: Clustered content improves crawlability, internal linking, and perceived expertise. Starting from seed themes accelerates strategy when full research isn’t available.
Important boundaries:
- Use only the user’s seed themes and constraints.
- Don’t fabricate metrics; label them as “est.” where needed.
- Keep cluster names distinct and scannable.
User inputs:
- Seed themes (3–8)
- Audience and product focus
- Geography and language
- Publishing capacity per week
Objectives:
1) Propose 5–10 clusters per seed with crystal-clear scope.
2) Draft 6–12 subtopics per cluster with tentative target keywords and titles.
3) Assign likely intent and recommended content type (guide, comparison, checklist, template, case study).
4) Provide a prioritized quick-win short list.
Analysis workflow:
1) Interpret each seed’s search space and likely SERP patterns.
2) For each seed, design clusters that ladder up to a pillar.
3) For each subtopic, write a concise angle that differentiates from generic content.
4) Create a Quick Wins section (low difficulty cues + high relevance + evergreen).
Required output format:
- Sections: Summary, Quick Wins (bulleted), Then a markdown-like table rendered as CSV: seed,cluster,subtopic_kw,primary_intent,content_type,suggested_title,angle_notes
Quality controls:
- Avoid duplicate subtopics across seeds; if overlap, mark preferred location.
- Keep titles specific; avoid clickbait.
Verification checklist:
- Does each cluster roll up to a unique pillar?
- Are Quick Wins plausible for the team’s capacity?
Final instruction: Output Summary, Quick Wins, and the CSV table only.
Expected Outcome
Summary: 4 seeds expanded into 26 clusters and 178 subtopics. 14 quick wins identified. Quick Wins: - "content calendar template" (guide) - "blog post schedule" (checklist) CSV: seed,cluster,subtopic_kw,primary_intent,content_type,suggested_title,angle_notes Content Calendar,Planning Basics,editorial calendar,Informational,guide,"Editorial Calendar 101: Frameworks, Examples, and a Free Template",Use examples + template
Implementation Journey
Expand seeds with Claude
Open Claude and paste the seeds, audience, and cadence. Run this prompt to generate clusters, subtopics, and Quick Wins. Copy the CSV-like table.
12-18 minScore practicality in Google Sheets
Paste the table into Google Sheets. Add columns: team_fit (1–5), evergreen (Y/N), and lead_stage. Filter Quick Wins where team_fit ≥4 and evergreen=Y.
10-15 minCreate a backlog in Notion
Import the sheet into a Notion database. Group by cluster; add owners and draft dates. This becomes your production backlog synced with capacity.
10-15 min
