We audit every layer of your Shopify product data: attributes, variants, metafields, tags, specs, and content blocks. We identify missing or incomplete schema types such as Product, ProductGroup, FAQ, and Review. Our audit also evaluates your product feed, diagnosing gaps that prevent AI extraction and ensuring your store meets the data expectations of Google and OpenAI.
We create structured content designed specifically for AI Overviews and chat-based shopping. This includes overview blocks, Q&A sections, specification tables, comparisons, pros/cons, and decision-support content. Every block is built to answer conversational queries directly—so AI systems can lift, extract, and cite your brand as the recommended option.
Your Shopify data is normalised and rebuilt for machine readability. We refine variant naming, rewrite product metadata, ensure consistent attributes, and enrich your feed so Google and OpenAI can interpret your catalogue clearly. The result: your products become easier for AI to compare, categorise, and recommend.
We transform buying guides and collections into structured, AI-ready resources. This includes step-by-step sections, how-to content, glossaries, definitions, and FAQ schema targeting conversational queries. These pages become authoritative sources that AI assistants reference.
We reorganise your site architecture using entity relationships: collections → sub-collections → products → concepts. This supports AI reasoning by clarifying how your products relate to each other and to the customer’s intent.
We handle theme updates, metafield mapping, and structured data integration. If required, we work directly with your development team to ensure precise execution across your Shopify stack.
We monitor your visibility across AI Overviews, ChatGPT Shopping citations, Perplexity references, and conversational search queries. Monthly reporting highlights wins, insights, and next-step improvements.