← ClaudeAtlas

content-briefslisted

Generate citation-grounded GEO content briefs from LLM prompt execution data, citation exports, AI responses, competitor pages, and keyword evidence. Use when the user needs differentiated article briefs that explain what to write, why it should win citations, which competitor patterns to address, and which sources or entities the writer should cover.
birdseyeglobal/portage · ★ 0 · AI & Automation · score 70
Install: claude install-skill birdseyeglobal/portage
# GEO Content Briefs Create writer-ready content briefs from AI-search evidence. This skill is for depth over volume. It is most useful when a team has prompt tracking data and wants a small set of briefs that are specific enough for a writer or AI drafting system to execute without doing the research again. ## Inputs Required: - Prompt execution data. See `references/input-format.md`. - Brand context: website, offer, audience, geography, and positioning. Recommended: - URL-level citation export. - Example AI responses for the target prompts. - Competitor domains or pages. - Keyword research with volume and difficulty. - Brand voice or editorial guidelines. If paid SEO or brand-radar tools are unavailable, work from the uploaded data, search results, cited URLs, and source pages. State the limitation. ## Workflow 1. Load the prompt execution data. 2. Compute priority signals: prompt count, brand mention rate, competitor mention rate, citation gaps, funnel stage, and topic importance. 3. Select a focused target set. Default to 5 to 15 briefs. 4. For each target prompt or cluster: - Parse citation URLs and classify source types. - Read the most-cited pages. - Mine AI responses for answer structure, entities, and repeated omissions. - Check keyword opportunity when keyword data is available. - Identify the market-specific content angle. - Collect external sources the writer should cite. - Write a full section-by-section article outline. 5. Verify t