A system and method for SEO optimization for marketing
By constructing a closed-loop SEO optimization system, utilizing dual-core data input and multi-dimensional feature extraction, the problems of single data sources and lack of optimization iteration are solved. This enables precise and automated keyword mining, ensures dynamic adaptation and continuity of optimization strategies, and improves the stability and long-term effectiveness of SEO optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU YIHAI CHUANGTENG INFORMATION TECH CO LTD
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing SEO optimization methods suffer from a lack of data sources, disconnect between keyword research and marketing goals, a lack of closed-loop iteration in optimization, a tendency for command conflicts to occur when using multiple LLM models, rigid data collection timeliness, easy interface crashes, and a lack of a sound review and debriefing mechanism, resulting in poor optimization performance.
By acquiring target search engine algorithm data and user search behavior data, we conduct search engine analysis and user search analysis. Combined with automated keyword mining and in-depth analysis, we construct a closed-loop optimization logic for the entire process. We adopt dual-core data input, multi-dimensional feature extraction, dynamic time window, token bucket rate limiting algorithm and single LLM model to achieve accurate and automated keyword mining and optimization.
It achieves deep integration of SEO optimization and marketing promotion, improves keyword accuracy and marketing conversion potential, ensures dynamic iteration of optimization strategies, avoids keyword failure due to algorithm updates and changes in user behavior, and guarantees the continuity and effectiveness of marketing promotion.
Smart Images
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