Most E-Commerce Stores Are Built for Humans. Not Machines.
AI-driven product discovery is accelerating. If your products aren’t structured for AI systems, they become invisible. We audit your live product data + structured data and deliver an implementation-ready blueprint.
AI-Ready Product Infrastructure
We rebuild the machine-readable layer so AI systems can reliably interpret your products, variants, attributes, and constraints. This is infrastructure work — not “SEO tactics”.
AI systems don’t just crawl pages. They infer meaning. When your structured signals are incomplete, inconsistent, or ambiguous, products become harder to retrieve and recommend.
Structured Product Data (JSON-LD)
Validate and strengthen JSON-LD so products resolve as clear entities with consistent identifiers and attributes.
Variant-Level Offer Structure
Map each variant to its own Offer for accurate pricing, availability, URLs, and SKU/GTIN continuity.
Attributes & Spec Modelling
Convert key attributes into machine-readable properties so AI can compare, filter, and reason about your catalog.
FAQ Structured Data (Where Relevant)
Add FAQPage schema where it clarifies buyer questions and exposes consistent Q/A structure to AI systems.
SEO is indexing. AI is interpretation.
Traditional search finds pages. AI-driven discovery tries to understand products. That means your store needs structured signals that reasoning systems can trust: entities, attributes, variant logic, constraints, and consistent identifiers.
This applies across e-commerce — Shopify, WooCommerce, headless, and custom storefronts. Supplements are a common case because the gap is obvious (ingredients, dosing, claims), but the same structural issues exist for apparel, electronics, cosmetics, home goods, and more.
- Default platform schema is typically minimal and inconsistent across templates.
- Attributes/specs are often plain text, which reduces machine comparability.
- Variants frequently collapse into a single Offer, causing ambiguity in price and availability.
- FAQ data is rarely structured, so Q/A extraction becomes unreliable.
This is the machine-readable layer your platform rarely ships well by default. We diagnose it and give you the blueprint to rebuild it cleanly — schema type alignment, per-variant offers, computable attributes, and structured Q/A where it matters.
How It Works
A practical process designed to turn your current structured data into an implementation-ready rebuild blueprint.
Purchase audit
You pay once and book a slot. We confirm your representative product pages and the scope.
Site analysis (schema + structure)
We extract live product JSON + JSON-LD, validate it, then map structural conflicts across variants, attributes, and FAQs.
AI readiness score + rebuild blueprint
You receive a technical report, readiness scoring, example JSON-LD, and a rollout plan. Optional implementation support is available.
What You Get ($149)
A technical audit pack built for execution — not generic recommendations.
- AI readiness score (1–10)
- Structured data gap report
- Validator-ready example JSON-LD for a representative product
- Rollout plan across templates/collections/products
- 10–15 min Loom walkthrough
- Quick wins + next phase options
Shopify, WooCommerce, headless, custom templates — the audit focuses on the structured layer AI systems can interpret, independent of your stack.
Pricing
One-time audit. No contract. Built for fast execution.
- AI readiness score + structural gaps
- Validator-ready example JSON-LD + blueprint
- Rollout plan across templates and products
- 10–15 min Loom walkthrough
FAQ
Is this SEO? +
It’s infrastructure. SEO helps pages rank. This improves how AI systems interpret products: variants, attributes, offers, constraints, and structured Q/A.
Do you implement changes? +
The $149 product is the audit + blueprint. Implementation support is optional and can be scoped after the audit based on your setup.
Does this work outside Shopify? +
Yes. The audit targets structured data and product architecture. That layer exists on Shopify, WooCommerce, headless storefronts, and custom builds.
What do I get after payment? +
A booking link to schedule your slot. After analysis, you receive a structured report, readiness score, example JSON-LD, rollout plan, and Loom walkthrough.
How fast is delivery? +
Typical turnaround is 48–72 hours after your intake details are confirmed.
What if I have many products? +
The audit uses representative products and templates to produce a rollout plan that scales across collections and variants. For large catalogs, we’ll prioritise the highest-impact templates first.
Be early. Not invisible.
AI discovery surfaces are forming now. If your product data isn’t interpretable, you get filtered out before the user even sees you.