seo-aeo-keyword-research

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Researches and prioritises SEO keywords with AEO question queries, difficulty tiers, cannibalization checks, and a content map. Activate when the user wants to find keywords, research search terms, or build a keyword strategy.

AI & Automation 39,227 stars 6374 forks Updated today MIT

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# SEO-AEO Keyword Research ## Overview Identifies high-value SEO keywords and AEO question-based queries for a topic. Produces keyword tiers (easy wins to long-term goals), search intent classification, cannibalization checks, and a content production map — all from a single topic input. Part of the [SEO-AEO Engine](https://github.com/mrprewsh/seo-aeo-engine) — an open-source AI-powered content growth system. ## When to Use This Skill - Use when you need to build a keyword strategy for a new topic or niche - Use when you want to find AEO question queries for AI engine citation - Use when you need to prioritise which keywords to target first - Use when you want to check for keyword cannibalization before writing content ## How It Works ### Step 1: Extract Seed Keywords Identify 3–5 core terms that anchor the topic's search territory. Go beyond the obvious head term to include adjacent terms the audience actually uses. ### Step 2: Expand Into Tiers Sort all keywords into three tiers: - **Tier 1** — Low-to-moderate difficulty. Target first. - **Tier 2** — Medium difficulty. Build toward after Tier 1 content is live. - **Tier 3** — High difficulty. Long-term goals only. ### Step 3: Generate AEO Keywords Produce question-based keywords that AI engines surface in direct answers and People Also Ask boxes. For each AEO keyword, specify the answer format to use (definition sentence, numbered steps, comparison table, direct number). ### Step 4: Run Cannibalization Check Flag ...

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Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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