AI SEO Page Relevance Checker

This Chrome extension helps check how well the main headline of a webpage (the <h1> tag) matches or relates to the main content of that page (inside the <main> tag). It uses AI services from OpenAI, Google Gemini, and Groq to understand and compare the meanings of the headline and the content to ensure they are relevant to each other. With Groq API support, you can try different language models like Mixtral, Llama, Gemma, and Qwen for your analysis. This is useful for improving a website's search engine optimization (SEO). NEW: Batch URL Processing! Now you can analyze multiple URLs at once with our new batch processing feature. Simply paste a list of URLs, start the analysis, and get a comprehensive report showing relevance scores for all your pages in a single table. Export results to CSV for further analysis or team sharing. Key benefits: - Multi-API support: Choose between OpenAI, Google Gemini, or Groq, or set up automatic fallback options for maximum reliability - Advanced model selection: Select from multiple cutting-edge AI models through the Groq API - Instant relevance analysis: Get a numerical score and interpretation of how well your content matches your headline - SEO optimization: Identify content-headline mismatches that could hurt your search rankings - Simple integration: Works directly in your browser with just one click - Privacy-focused: Your API keys are stored locally and your content is never saved - Batch URL processing: Analyze multiple pages at once and export a comprehensive report - Customizable delay settings: Control the pace of batch analysis to manage API usage - Export options: Save your analysis results as CSV or copy directly to spreadsheet applications - Valuable for: Content creators, SEO specialists, marketers, and website owners looking to improve their search visibility Ensure your content delivers what your headlines promise to both readers and search engines with this powerful yet simple SEO tool. Perfect for content audits, competitor analysis, and ongoing content quality monitoring.