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seo-researchlisted

Use when researching conventional search intent, audience questions, query families, content gaps, site coverage, cannibalization, or competitor/page evidence for a bounded SEO decision; produce a provenance-aware query corpus when the work will drive measurement or implementation, retain source dates and uncertainty, and route formal multi-engine AI-search evidence to ai-search-research.
oegeyilmaz9/seo-aeo-geo-ultimate · ★ 2 · AI & Automation · score 66
Install: claude install-skill oegeyilmaz9/seo-aeo-geo-ultimate
# SEO Research ## Purpose Build a decision-ready research note for traditional/web-search content and site decisions. This skill is for scoped discovery, not for a fabricated keyword spreadsheet, mass scraping, or a substitute for the immutable multi-engine `ai-search-research` Research Pack. Read `references/research-evidence-protocol.md` before presenting research conclusions. Read [query-opportunity-protocol.md](references/query-opportunity-protocol.md) when the goal is to choose what the site should rank for or identify the strongest next query opportunity. ## Input gate Clarify audience, market/locale, decision to be made, known site/entity URLs, time horizon, access/permissions, and available first-party data. Decide whether the question is conventional search research or AI-search research: - Use `ai-search-research` for engine/surface-specific AI evidence, ground truth, citations, or formal Research Pack provenance. - Use this skill for content/search intent, page inventory, query language, competitor/page observations, and source-backed opportunity framing without that formal contract. ## Workflow 1. **Define the decision.** State the audience task, market/locale, entity/page scope, non-goals, and evidence required to decide. 2. **Build a query/question corpus.** Separate user needs, observed search queries, AI prompts, and engine-executed subqueries. Group language by task and stage, not just lexical similarity. Preserve parent families, source, date, locale