Audit a fashion product page for SEO best practices. Checks meta title length, meta description, product structured data (JSON-LD), image alt text, URL structure, H1 presence, fashion-specific keywords (size, fit, material), and seasonal context. Returns a score (0-100), per-check results, and actionable recommendations.

Use this whenever a fashion brand wants to optimize a product listing for organic search. Works for any e-commerce platform (Shopify, Magento, custom).

Cost control: use verbose (0=quick check ~50 words, 1=standard ~200 words, 2=detailed ~500 words) and max_words to control output size and token cost.

Analyze current fashion trends for a specific product category. Returns trending keywords (search volume direction), trending colors with hex codes, silhouette trends (rising/peaking/declining), price tier demand, and key strategic insights. Built-in data for: denim, sneakers, bags, dresses. Other categories return limited data with an invitation for custom research.

Use this when a fashion brand needs trend intelligence for content planning, product development, or seasonal merchandising strategy.

Cost control: use verbose (0=quick insight ~50 words, 1=standard ~200 words, 2=detailed ~500 words) and max_words to control output size and token cost.