From Query Data to Content Brief: A Complete Workflow

You've extracted 300 queries from a ChatGPT session. Now what? This end-to-end workflow takes you from raw query data to a publishable content brief in under two hours.

Phase 1 — Clean and Deduplicate (15 min)

Open the CSV in Google Sheets. Remove queries under 3 words (too generic) and over 12 words (too specific). Use COUNTIF to flag duplicates. You'll typically go from 300 raw queries to 180–220 clean unique queries.

Phase 2 — Semantic Clustering (30 min)

Group queries into topic clusters — each cluster should be satisfiable by the same piece of content. Aim for clusters of 8–15 queries each.

Phase 3 — Prioritisation Matrix (15 min)

Score each cluster on: estimated search volume, commercial intent (1–5 scale), and relevance to your product (1–5 scale). Multiply scores and sort descending. Build the top 5 clusters first.

Phase 4 — Brief Construction (45 min)

For your top-priority cluster: primary keyword is the most representative query, supporting keywords are the remaining cluster queries, H2/H3 headings answer each query's implied question. Include word count target, competitor URLs to outperform, and primary CTA.

Phase 5 — Publish and Measure

Publish, submit to Google Search Console, set a 90-day tracking reminder. Measure impressions, clicks, and average position per cluster keyword. Use the data to refine future briefs.

The Full Timeline

• Day 1 — Run extraction, clean data, create clusters
• Day 2 — Prioritise clusters, build top 3 briefs
• Week 2–4 — Publish content cluster by cluster
• Day 90 — Review performance, run new extraction session