AI Automatically Evaluates Site Quality Across 10 Metrics: A New Monitoring and Competitive Analysis System Born from Marketing AX

AiTRIGGER Inc. (Headquarters: Shinjuku, Tokyo) has built an automated site quality management system as a practical implementation of Marketing AX. For marketing professionals struggling with delayed detection of site changes, inability to track competitors, and subjective landing page (LP) quality assessments, we introduce four specific mechanisms implemented to solve these issues.

Why Site Quality Management Often Lags Behind
In web marketing, site quality management is structurally prone to being reactive. First, change detection is manual and person-dependent. Sites change daily through CMS updates, external vendors, and plugin updates, yet these changes are often only noticed through manual visual checks. Second, competitive LP changes are rarely tracked. Most marketers realize a competitor has changed their messaging or design weeks later, or not at all. Third, quality assessment is often subjective. Decisions like "this LP feels good" prevent team consensus on improvement priorities, delaying initial actions. AiTRIGGER has built a system to resolve these three bottlenecks using AI.

Four Mechanisms Built with AX
We have transitioned site quality management from manual visual checks to AI-driven automated detection and analysis.
1. Site Monitoring: Daily automated crawling detects changes. It reports HTML differences by field (H1, H2, CTA, images, meta info, etc.).
2. Internal Site Analysis: Google Gemini Vision verbalizes the marketing structure, evaluating section composition, target, pain points, USP, RTB, functional value, and emotional value.
3. Competitive Site Analysis: By registering competitor URLs, the system automatically captures screenshots via Playwright and executes Gemini Vision analysis to track changes continuously.
4. Design Check: Automatically evaluates screenshots (PC/Mobile) across 10 items based on a 3-layer UX model. It outputs a comprehensive score and the top 3 priorities for improvement.

This approach is reproducible across domains. Whether it's automating ad reporting, verifying creative effectiveness with AI, or streamlining CRM scenario building, the process of identifying challenges, implementing AI solutions, and providing operational support remains consistent. If you have unresolved marketing challenges, please contact us.