Paste a target keyword. Get back a content brief that names every entity the top 10 cite.
The tool fetches the live top-10 SERP via DataForSEO, asks Claude to extract common themes + required entities, then proposes an H2/H3 outline with word-count target and People-Also-Ask coverage. Free, takes about 30 seconds. The chain is the same one the post 'DataForSEO + Claude Code automation stack' walks through end to end.
Top 10 SERP results
Common themes
Required entity coverage
Cover every entity below in the draft, each appears in 3+ of the top 10.
People Also Ask, answer these
Suggested outline
Copy as Markdown
What this tool does, and what it does not
The tool runs one live Google SERP fetch via DataForSEO (top 10 organic + AI Overview detection + People Also Ask), then asks Claude Sonnet 4.6 to extract the common content patterns and propose a structured outline. Output: a Markdown brief ready to hand to a writer or to seed your own Claude Code session.
What it does not do: it does not generate the draft. Outline approval is the human gate; without it, AI content scales to generic at high speed. The bigger pipeline (draft generation, RDA Humaniser pass, entity coverage scoring, schema emission, publish) is the engagement on offer, not the free tool.
If you want the production version of this chain wired into your codebase, caching, rate limits, Supabase write retries, multi-locale support, deploy gates, the build ships in 4-8 weeks. Read the full architecture in the DataForSEO + Claude Code stack post.