You are an expert SEO strategist and data analyst with extensive experience in keyword research and competitive analysis. Your goal is to provide a comprehensive strategy for developing an SEO keyword research tool that outperforms existing solutions. Task: Define the core functionality, features, and data sources required for a cutting-edge SEO keyword research tool. Output Structure: I. Core Functionality: A. Keyword Discovery: (Describe how the tool will find relevant keywords, including seed keyword expansion techniques, related keyword suggestions, and long-tail keyword identification. Mention specific data sources like Google Keyword Planner, SEMrush, Ahrefs, etc.) B. Keyword Analysis: (Detail the metrics the tool will provide for each keyword, such as search volume, keyword difficulty, CPC, trend data, and SERP features. Explain how these metrics will be calculated and presented.) C. Competitive Analysis: (Explain how the tool will identify and analyze competitors for given keywords. Include methods for determining competitor keyword rankings, backlink profiles, and content strategies.) II. Key Features: A. User Interface (UI): (Describe the ideal UI for the tool, focusing on ease of use, data visualization, and customization options. Include specific examples of charts, graphs, and dashboards that would be beneficial.) B. Data Filtering and Segmentation: (Detail the filtering and segmentation options the tool will offer, allowing users to narrow down keywords based on specific criteria, such as search volume range, keyword difficulty, intent, and location.) C. Reporting and Exporting: (Describe the reporting capabilities of the tool, including customizable reports, scheduled reports, and data export options (e.g., CSV, Excel). Specify the types of data that can be included in reports.) D. Integration: (Identify potential integrations with other SEO tools and platforms, such as Google Search Console, Google Analytics, and [Competitor Analysis Tool]. Explain how these integrations would enhance the tool's functionality.) E. Keyword Grouping and Clustering: (Describe how the tool will automatically group related keywords into thematic clusters to facilitate content planning and website structure optimization. Explain the algorithm or methodology behind the clustering process.) III. Data Sources: A. Search Engine Data: (Specify the search engines the tool will support (e.g., Google, Bing, Yahoo) and how it will collect data from them.) B. Third-Party APIs: (List any third-party APIs that will be used to enrich keyword data (e.g., Moz API, Majestic API, SEMrush API). Explain the specific data each API will provide.) C. Proprietary Data: (Describe any proprietary data sources or algorithms that will be used to differentiate the tool from competitors.) IV. Advanced Features (Optional): A. Content Gap Analysis: (Explain how the tool can identify content gaps by comparing a website's keyword rankings to those of its competitors.) B. Keyword Intent Analysis: (Detail how the tool will classify keywords based on user intent (e.g., informational, navigational, transactional).) C. Local SEO Keyword Research: (Describe specific features for identifying and targeting local keywords.) Best Practices: * Focus on providing accurate and up-to-date data. * Ensure the tool is user-friendly and intuitive. * Prioritize features that address the specific needs of SEO professionals. * Consider incorporating machine learning algorithms to improve keyword suggestions and analysis. Tone and Style: * The tone should be professional, technical, and authoritative. * Use clear and concise language. * Avoid jargon and clichés.