keyword-research

To automate Amazon keyword classification, this Skill collects data via Sorftime MCP and uses an LLM Agent to categorize keywords into an eight-dimension taxonomy including BRAND, MATERIAL, and SCENARIO, outputting Markdown reports and CSV libraries.

Generating an HTML dashboard from ASIN keyword data requires triggering the skill with a specific ASIN and site context, which processes the collected data into a structured taxonomy and produces visual HTML dashboards alongside CSV keyword libraries.

Yes, you need Sorftime MCP API access configured via a .mcp.json file to collect Amazon category keywords, competitor product keywords, and traffic terms before the LLM can classify them into the structured taxonomy.

LLM classification handles fallbacks by automatically switching to rule-based heuristics when the AI Agent cannot accurately categorize keywords into the eight dimensions like CORE and NEGATIVE, ensuring continuous taxonomy processing.

Yes, you can expand long-tail keywords for Amazon listing optimization across multiple marketplaces by enabling the optional long-tail expansion feature during data collection to discover additional related words.

The limitation of using rule-based heuristics for Amazon keyword taxonomy generation is that it serves only as a fallback mechanism when the primary LLM classification fails, potentially resulting in less nuanced categorization across the eight dimensions.