Quote logic nobody can see
When to request a quote, what information to include, and how pricing tiers work: usually tribal knowledge, not structured content.
High-consideration B2B buying runs on operational facts: RFQ processes, minimums, net terms, lead times, service areas, and policies. B2B buyers increasingly use AI tools to build vendor shortlists, and the vendors whose quote logic and policies are machine-readable are the ones AI can actually explain. Forge Commerce structures those facts around your WordPress/WooCommerce site.
Retail-style SEO does not describe how anyone buys from you. These are the B2B specifics AI answer engines need and rarely find.
When to request a quote, what information to include, and how pricing tiers work: usually tribal knowledge, not structured content.
Net terms, MOQ, freight rules, returns, and service-area boundaries buried in PDFs, footers, or sales conversations.
Service and capability pages that never connect offerings, regions, and industries as structured entities AI can cite.
For E2 Solutions, a warehouse-solutions provider, we turned deep ICP research into AI-readable, answer-first landing pages with full JSON-LD structured data, clean UX, and a clear booking CTA: pages built to answer the exact questions B2B buyers ask during vendor research.
That is the same answer-first discipline Forge Commerce applies to quote-driven catalogs: visible answers, structured entities, and a clear next step.
Targeted, research-backed pages for regional warehouse services: structured, visible, and conversion-oriented:
e2.solutions/minneapolis-wmse2.solutions/midwest-warehouse-optimizationEach page pairs buyer-specific answers with JSON-LD that mirrors the visible copy, the pattern that makes high-consideration services quotable by answer engines.
Quote initiation structured as a first-class action: what buyers need to provide, when quotes apply, and how to start one.
MOQ, net terms, freight, warranty, and returns turned into structured details AI can attach to your products and services.
Organization, Product, Service, Offer, and FAQ graphs with duplicates suppressed: one clean source of truth per page.
Pages that answer the questions your buyers actually research, with visible copy that structured data mirrors.
llms.txt and AI sitemaps that describe your catalog and capabilities to AI systems.
Journeys & Pulse captures the RFQ form, stitches it to the pages the buyer read, and delivers it to your CRM with a Pulse score.
Yes. You structure what is honest to publish: quote paths, policy rules, and product facts. Where terms are account-specific, the structured answer is how to get a quote, kept accurate.
Yes. Product schema covers the catalog; Service and FAQ schema cover capabilities, service areas, and buying process, connected as one entity graph.
No. Forge Commerce works around your existing WordPress/WooCommerce site through a companion plugin and assisted implementation.
No. No one can honestly guarantee AI citations or leads. The work makes your buying process and catalog readable and eligible, the part you can control. Journeys & Pulse then shows you which quote requests actually arrived and where they came from.
Book a free AI Visibility Audit. We will review how your quote paths, policies, and product facts look to AI answer engines, and what structuring them takes.