sitemap-strategylisted

# GEO Sitemap Strategy Turn LLM tracking data and live page review into a page-level plan. The core question: which existing pages should be improved, and which missing pages should be created, so the brand can earn more citations in AI answers? ## Inputs Required: - Prompt execution CSV. - URL-level citation CSV. - Brand domain. Helpful: - Competitor list. - Sitemap URL. - Brand guidelines. - Product or editorial ownership constraints. - CMS or URL architecture constraints. If the user has only one CSV, ask for the missing file. Both prompt-level and citation-level evidence are needed for a strong page strategy. ## Workflow 1. Analyze prompt execution data: - Total executions and unique prompts. - Brand mention rate. - Non-branded brand mention rate. - Competitor mention rate. - Topic clusters and funnel stage distribution. 2. Analyze citations: - Owned URLs cited. - Competitor URLs cited. - Third-party domains cited. - Reddit or social citations. - URL path patterns. 3. Crawl or inspect the brand site: - Sitemap and key landing pages. - Word count and section depth. - FAQ, schema, trust signals, author signals, and internal links. 4. Inspect winning competitor pages: - H1 and page purpose. - Section structure. - Entities covered. - FAQs and schema. - Conversion or trust modules. 5. Split recommendations into: - Optimize existing pages. - Ship new pages. 6. Write P0 page playbooks for the highest-leverage