Specs trapped in PDFs
Datasheets, certifications, compatibility notes, and MPNs often sit outside the HTML that answer engines can easily cite.
Forge Commerce makes manufacturers and product brands legible to AI answer engines and, next, to buyers' agents: structured specs, clean JSON-LD, discovery files, machine-readable policies, and answer-first pages. WooCommerce-native, Shopify supported, and the journeys, forms, prospecting, and Foundry OMS modules work with any website, storefront or not.
WooCommerce-first, with Shopify and other platforms supported. No ecommerce site? Journeys & Pulse, Valkyrie Assist, and Foundry OMS & MCP still work. No replatforming required; the free audit shows what AI can and cannot read about you 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.
AEO gets your catalog into the answer. Journeys & Pulse shows who came, what they read, and when they asked for a quote. Valkyrie Assist turns research lists into enriched prospects that graduate into your CRM. Foundry OMS & MCP lets your customers' agents research, quote, and request orders directly. All of it runs in Forge, and The Viking Stack CRM stays the system of record for contacts.
Enriched JSON-LD, schema conflict management, discovery files, machine-readable policies, and answer-first pages published to WordPress or generated as reviewable Shopify artifacts.
Explore AEOVisitor journeys, Forge-owned forms, identity stitching at conversion, and a Pulse engagement score pushed into your CRM. Privacy-first: no keystroke capture, Global Privacy Control honored.
Explore Journeys & PulseImport prospect lists, enrich every row with AI columns you define, qualify with reasoning attached, and promote the winners into your CRM with mapped fields and tags.
Explore Valkyrie Assist Early accessBuyers and their AI agents research your catalog, submit inquiries, RFQs, RFPs, and order requests through the Forge Foundry MCP. Your team works every request in Foundry OMS.
Explore Foundry OMSBuyers are moving from browsers to agents. Your customers add one MCP endpoint, the Forge Foundry MCP, to Claude, ChatGPT, or any MCP-capable agent, then sign in with their email. From there their agent can read your catalog, ask questions, submit RFQs and RFPs, and send sales orders and manufacturing orders that land in your Foundry OMS queue for review, no EDI platform to build, maintain, or pay for. Forge is the orchestration layer for how your customers interact with your business in this new agentic era.
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.