An open-source AI-driven SEO platform that helps you research keywords, analyze competitors, generate optimized content, and track rankings . all powered by LLMs and automation.
git clone https://github.com/P-Essonam/seo-platform.gitThe seo-platform is an open-source AI-driven SEO platform that streamlines search engine optimization workflows through LLM-powered automation. It enables keyword research, competitor analysis, optimized content generation, and ranking tracking all within a single integrated system. Built by P-Essonam, the platform leverages artificial intelligence to reduce manual SEO tasks and provide data-driven insights for improving search visibility.
["Gather your core metrics: Input your website URL, target keyword topic, minimum search volume threshold, and any known competitor domains. Use tools like Google Keyword Planner or Ahrefs for initial volume estimates if needed.","Run the analysis: Paste the prompt into your LLM interface (Claude/ChatGPT) and execute. For automation, use Python scripts with libraries like serpapi, requests, and pandas to pull real-time data.","Refine keyword selection: Filter results for commercial intent (e.g., 'best', 'review', 'top 10') and low difficulty (<70). Cross-reference with your site's existing content to avoid cannibalization.","Generate content: Use the outlines to create drafts in your CMS (WordPress, Webflow) or content tools (SurferSEO, Clearscope). Focus on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals.","Track progress: Set up rank tracking in Google Search Console, Ahrefs, or SEMrush. Schedule monthly reviews to adjust content based on performance data and algorithm updates."]
Conduct keyword research and analysis for target markets
Analyze competitor SEO strategies and identify opportunities
Generate SEO-optimized content at scale using AI
Monitor and track keyword rankings over time
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/P-Essonam/seo-platformCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as an SEO specialist using an open-source AI-driven platform. For [WEBSITE_URL], research high-intent [KEYWORD_TOPIC] keywords with search volume > [MIN_VOLUME], analyze top 3 competitors for content gaps, generate 3 optimized blog outlines with target keywords, and suggest a 3-month ranking tracking plan. Prioritize keywords with commercial intent and low difficulty scores. Use [COMPETITOR_DOMAINS] if provided.
For a fictional e-commerce site selling organic dog treats (pawfectbites.com), I identified 12 high-intent keywords around 'grain-free dog food' with volumes ranging from 8,500-22,000 monthly searches and difficulty scores between 42-68. Competitor analysis of chewy.com, petco.com, and bluebuffalo.com revealed gaps in long-form content targeting 'best grain-free dog food for sensitive stomachs' and 'grain-free vs limited ingredient dog food'. Generated three optimized outlines: 1) '10 Best Grain-Free Dog Foods for 2024' (targeting commercial intent), 2) 'Grain-Free vs Limited Ingredient: Which is Better?' (educational), and 3) 'Grain-Free Dog Food for Sensitive Stomachs: Vet-Approved Picks'. The tracking plan suggests monitoring rankings for primary keyword 'best grain free dog food' weekly for 4 weeks, then monthly, with competitor benchmarks set at 5 positions above current rank 12.
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