Specs trapped in PDFs
Datasheets, certifications, compatibility notes, and MPNs often sit outside the HTML that answer engines can easily cite.
Forge Commerce turns WooCommerce manufacturer sites into AI-readable buying resources: structured specs, clean JSON-LD, discovery files, policies, and answer-first pages that help engineers and procurement teams understand why you belong on the shortlist.
Built for WordPress + WooCommerce manufacturers and distributors. No replatforming required. The free audit shows what AI answer engines can and cannot read on your site today.
WooCommerce and WordPress are the core of Forge Commerce today, with The Viking Stack and HighLevel handling operations and customer handoff. Shopify is a supported expansion path, Apollo.io powers AEO intelligence and prospecting as an add-on, and Claude powers the platform's in-app AI.
Most WooCommerce manufacturer sites were built for human browsing and traditional SEO. AI answer engines need unambiguous entities, visible specs, machine-readable policies, and one clean source of truth.
Datasheets, certifications, compatibility notes, and MPNs often sit outside the HTML that answer engines can easily cite.
WooCommerce, themes, SEO plugins, and schema plugins can emit overlapping graphs that weaken trust and validation.
Manufacturers need quote paths, lead times, MOQ rules, policies, and product context ready before agentic commerce matures.
A focused control plane for the assets that make manufacturer catalogs understandable: not generic SEO reporting, and not an unsupported citation promise.
Pair the WordPress site through a companion plugin and discover the active theme, SEO stack, schema sources, cache, and product fields.
Map manufacturer data into enriched JSON-LD, including product specs, certifications, compatibility, policies, and FAQs.
Push approved artifacts live, resolve duplicate schema sources, purge cache, and verify rendered output.
Keep artifacts fresh as catalog data, answer behavior, and agentic storefront requirements change.
Engineers and procurement teams do not search like retail buyers. They ask for parts by spec, material, standard, compatibility, lead time, and quote constraints.
The visibility gap looks different depending on what you sell. Start with the page that matches how your buyers research.
Specs, certifications, datasheets, MPNs, and RFQ paths made readable for procurement and engineering research.
Ingredient facts, FAQs, and compliant product education structured for AI answer engines.
Quote logic, policies, and high-consideration buying flows that AI tools can actually explain.
Answer-first product education and clean product metadata for consumer research moments.
Book a free AI Visibility Audit and we will walk through the gaps that keep WooCommerce manufacturer sites out of AI-generated shortlists — then decide if a full demo makes sense.