GEO for manufacturers: how to get cited by AI
B2B deals mature over months, and part of that path now runs through AI: an engineer asks to compare steel grades, a buyer to find a supplier within a tolerance. To get cited, your specs must be machine-readable — not buried in a PDF catalog.
Where you lose AI answers
- Specs live in PDF catalogs — AI can't read them and cites distributors instead.
- Grade and material comparisons without structure aren't extractable by AI.
- Case studies and certificates exist, but without markup they don't count as proof.
How people ask AI
GEO checklist for this niche
Specs in Product schema and tables, not just PDF — so AI can extract values.
Move datasheets into text pages with headings; PDFs are near-invisible to AI.
Organization markup, sameAs, registration details and certificates signal a real manufacturer.
Implementations with numbers and verified standards — expertise AI treats as proof.
Right under the heading — a precise answer with a number, tolerance or grade.
Want this done for your site — end to end?
FAQ
Why does AI cite distributors instead of us?
Distributors publish specs structurally on HTML pages, while the factory keeps them in a PDF catalog. AI takes what it can read and extract, so move your specifications into text with markup.
Where to start in a long B2B cycle?
Pull key specs out of PDFs into HTML with Product schema, add case studies and certificates, give direct answers, then run the pages through the GEO checker.