Ecommerce-first AEO
Ecommerce-first AEO
We start at the product layer where discovery and purchase intent intersect, not with generic content strategy.
TAG helps Shopify brands show up when shoppers ask ChatGPT, Gemini, and Google AI for product recommendations. We turn your PDPs, collections, and content into structured sources AI can understand, trust, and cite.

AEO by TAG improves your visibility in AI-powered discovery by optimizing the inputs AI systems rely on: product data clarity, page structure, schema markup, internal linking, and proof signals like reviews and UGC. If your pages are hard to interpret or your PDPs don't answer real buyer questions, AI skips your brand. We fix that.
Once your site is structured correctly, new content and product launches become easier to publish and more likely to appear in AI-driven recommendations.
A proven process
We assess how and where your brand appears across AI discovery surfaces, then map gaps across content structure, schema, and product data.
We start with revenue-driving templates first: PDPs, collections, and core editorial hubs. This is where intent is highest and wins show up fastest.
We fix the foundation so AI can parse your pages reliably: headings, scannability, modular blocks, and predictable patterns across templates.
We implement and validate the schema types that matter for ecommerce and content. We also tighten entity consistency across product names, variants, attributes, and claims.
We strengthen trust signals where they influence decisions: reviews, UGC, expert guidance, guarantees, and comparisons. We also ensure these are structured in a way AI can interpret.
We establish a baseline, define KPIs, and track progress over time. Then we iterate on the templates and content that matter most.
TAG knows your industry
AEO for fashion, wellness & luxury brands
We start at the product layer where discovery and purchase intent intersect, not with generic content strategy.
AEO is not only writing. It requires structured templates, schema, and consistent data. TAG actually implements.
We understand how merchandising, templates, and content operations interact.
We reduce content debt and create patterns your team can reuse, so improvements keep compounding.