We're an e-commerce brand selling premium leather goods (bags, wallets, jackets, accessories) and need to update our entire product catalog with structured data markup optimized for AI discovery — think Google Shopping, ChatGPT, Perplexity, and other AI agents that pull product info. Phase 1 — Audit & Recommendations: Before any implementation, we'd like a comprehensive audit of our current Shopify store (buffalojackson.com) covering existing structured data, product page markup, and AI agent readiness. Deliverable should be a detailed report of what's missing, what needs to be fixed, and prioritized recommendations with specifics on what to update and how. Phase 2 — Implementation: Build a repeatable workflow/system to generate Product schema (JSON-LD) for our full catalog Enrich product descriptions with attributes that AI agents prioritize (material, use case, dimensions, price, availability, brand, reviews, etc.) Implement Schema.org Product, Offer, AggregateRating, and related markup Ensure compatibility with Google Merchant Center, OpenAI plugins/agents, and emerging AI shopping standards Ideally create a templated or semi-automated process we can reuse as we add new products Ideal Candidate Has: Strong experience with Schema.org vocabulary, especially Product and Offer types Familiarity with AI-agent-readable markup (GPC, Open Product Data, etc.) E-commerce SEO background — bonus if you've worked with Shopify Ability to build lightweight automation (scripts, GPT workflows, or Zapier/Make) to process descriptions at scale rather than doing it all manually Understanding of how LLMs and AI shopping agents parse and surface product data