Get Your Catalog on the AI Shortlist
Your buyers — engineers and procurement teams — now research and shortlist vendors through AI answer engines and agents. We make your specs, certifications, compatibility, MOQ, lead times, and policies machine-readable so you show up where the decision gets made — and win.
The buying journey moved to AI
Engineers and procurement teams increasingly start with an AI assistant, not a search bar. They ask for a part that meets a spec, fits a certification, and ships within a lead time — and the AI answers from whatever it can actually read.
That is where most manufacturer sites fall short. AI answer engines need unambiguous entities, visible specs, machine-readable policies, and one clean schema graph. If your datasheets, certifications, and MPNs sit outside citable HTML, you are invisible to the exact moment your buyer decides.
Most manufacturer sites were built for human browsing and traditional keyword SEO, not for machines that need unambiguous entities.
AI answer engines need visible specs and one clean schema graph — duplicate or conflicting markup confuses them.
Datasheets, certifications, and MPNs often sit in PDFs or images, outside the citable HTML that AI can actually read.
Policies like warranty, returns, lead time, and MOQ are frequently buried, so AI can't confirm you fit the buyer's requirements.
AEO built for manufacturers
The structured data, discovery files, and answer-first pages that make your catalog understandable to AI buyers — mapped from your real specs, not generic templates.
Enriched Structured Data
Product, Organization, FAQ, Service, and HowTo JSON-LD generated from your real specs, certifications, GTINs/MPNs, and compatibility data — not generic boilerplate.
Schema Conflict Manager
Suppresses duplicate and conflicting markup from WooCommerce, your theme, Yoast, and Rank Math so AI engines see one clean, authoritative schema graph.
AI Discovery Files
llms.txt, an AI sitemap, robots rules, and capability stubs served so answer engines and agents can find, crawl, and route your catalog correctly.
Answer-First Spec Pages
Product and category pages restructured so the spec, the compatibility, and the answer sit in citable HTML — not locked inside a downloadable datasheet.
Policy & Freshness
Warranty, returns, lead time, and MOQ made visible and structured, and kept current — so what AI reads about you matches what you actually offer.
Local + National Visibility
Organization and location signals tuned so Minnesota buyers and national procurement teams alike can identify you as the right vendor for the job.
Agentic storefront readiness
AI agents are beginning to compare and shortlist vendors on a buyer's behalf. We prepare quote paths, RFQ and quote-flow mapping, lead times, MOQ rules, and machine-readable policies so your storefront is ready when the agent comes shopping.
Quote & RFQ paths
We map your quote and RFQ flows into clear, followable paths so an agent can request pricing the same way a buyer would.
Lead times & availability
Lead times and availability are exposed in a structured form so agents can weigh you against vendors who keep theirs hidden.
MOQ & ordering rules
Minimum order quantities, pack sizes, and ordering rules are made explicit so agents qualify the right opportunities to you.
Machine-readable policies
Warranty, returns, and terms are prepared in a format agents can parse — because agents will compare and shortlist vendors automatically.
Our WooCommerce-native engine for AEO & agentic readiness
Forge Commerce is the product behind this work. It installs around your existing WordPress + WooCommerce stack — no replatforming, no rebuild — and delivers enriched structured data, a schema conflict manager, AI discovery files, and agentic-storefront readiness on the catalog you already run.
Wholesale & distribution catalogs, too
Distributors and B2B sellers share the same challenge: getting a large catalog seen and trusted by AI-driven buyers. The same structured-data foundation that powers manufacturer AEO drives catalog visibility, distributor enablement, product feeds, and B2B discovery for wholesale operations.
Catalog visibility for distributors and B2B buyers researching via AI
Distributor enablement with clean, consistent product data
Product feeds prepared for downstream buyer and partner systems
B2B discovery tuned for procurement and reseller research
How we work
A straightforward path from where your catalog is today to a catalog AI can read, trust, and recommend.
01
Audit & readiness baseline
We assess your current catalog, schema, discovery files, and policy visibility, then benchmark how readable you are to AI today.
02
Structure & enrich
We map specs, certifications, compatibility, MOQ, and lead times into clean JSON-LD and answer-first pages, resolving schema conflicts.
03
Publish & verify
Approved artifacts are pushed live, caches are purged, and we verify the rendered HTML so what ships is what AI actually reads.
04
Improve
We monitor discovery and citation patterns and refine your structure and policies as AI buying behavior and your catalog evolve.
Frequently asked questions
Manufacturing and distribution AEO, agentic commerce, and what an engagement looks like.
What is AEO for manufacturers?
Answer Engine Optimization (AEO) for manufacturers is the practice of making your catalog — specs, certifications, compatibility, MPNs/GTINs, MOQ, lead times, and policies — unambiguous and machine-readable so AI answer engines like ChatGPT, Claude, Perplexity, and Gemini can understand and cite your products when engineers and procurement teams research vendors. Instead of optimizing only for human browsing and traditional keyword search, AEO structures your product data into a clean schema graph that AI can parse, compare, and recommend.
Do I have to replatform to do this?
No. Our approach installs around your existing WordPress + WooCommerce stack — there is no rebuild and no migration off your current site. Forge Commerce, our WooCommerce-native product, layers structured data, discovery files, and machine-readable policies onto the catalog you already run. If you are on a different platform, we can still scope an AEO engagement; replatforming is never a prerequisite.
How does this help with agentic commerce and AI buyers?
AI agents are starting to research, compare, and shortlist vendors on behalf of buyers. To be considered, an agent needs to read your specs, confirm compatibility, see your MOQ and lead times, and follow a clear quote or RFQ path — all without a human translating your PDFs. We prepare quote paths, RFQ and quote-flow mapping, and machine-readable policies so agentic buyers can evaluate you. Being readable to agents can improve your odds of making the shortlist, though outcomes vary by category and competition.
Do you handle wholesale and distribution catalogs?
Yes. Alongside manufacturer AEO, we support distributors and B2B sellers with catalog visibility, distributor enablement, product feeds, and B2B discovery. The same structured-data and machine-readable-policy foundation that helps manufacturers also helps wholesale catalogs surface in AI-driven research and feed into downstream buyer and partner systems.
What does it cost?
Engagements are scoped to catalog size, the state of your existing data, and how much enrichment is needed. Most projects start with an audit and readiness baseline, then move into structuring and publishing. We will give you a clear, fixed scope after a discovery call rather than quoting a number blind — book a discovery call and we will map the work to your catalog.