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Analyze local SEO quality, search intent, and opportunities via CLI or MCP.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.davidmosiah/agent-seo-engine" MCP server from askskill: Run: claude mcp add 'io-github-davidmosiah-agent-seo-engine' -- npx -y agent-seo-engine
Analyze the SEO quality of these local business pages or keywords, and identify key issues and improvement opportunities.
A local SEO quality assessment with prioritized issues and opportunity areas.
Analyze the user intent behind these local search keywords and group the results by intent type.
A keyword intent classification output to guide content and landing page direction.
Find potential opportunities in this set of keywords or pages from a local SEO perspective, and suggest priorities.
A list of opportunities with prioritization suggestions for follow-up optimization.
Marketing teams can use it to assess SEO quality and identify improvement opportunities when optimizing local business pages. It is suited for initial analysis around local search performance.
When a team needs to understand the user intent behind local keywords, they can use it for intent analysis. This helps plan more relevant content or pages.
Developers or workflow owners can use the engine through its CLI or connect the optional MCP server when needed. This makes it easier to bring SEO analysis into existing toolchains.
It is an agent-first local SEO engine for analyzing SEO quality, search intent, and opportunities. It provides a CLI and an optional MCP server.
Based on the provided description, you can use it through a CLI or connect the optional MCP server when needed. For exact installation steps and commands, see the source repository.
The description emphasizes that it is agent-first and offers both a CLI and an optional MCP server, making it more suitable for agent or automation workflows. For more detailed differentiation, see the source repository.
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