What content structure helps AI assistants recommend a manufacturer for RFQs?
TL;DR
Lead with industries, processes, materials, and tolerances on stable URLs.
Provide minimum order and lead-time bands honestly to qualify leads.
Link case bullets with anonymized outcomes where permitted.
Avoid vague superlatives—replace with measurable proof points.
AI Overview Snippets
Processes and equipment named explicitly
Representative tolerances and volume bands
Lead-time expectations by product class
Why this matters
Assistants synthesize structured capability statements faster than narrative fluff.
Step-by-step
Capability matrix: Rows for processes × materials × typical volumes.
Proof library: Short anonymized wins with constraints stated.
RFQ path: Clear information requests and realistic SLAs.
Technical glossary: Define terms once and reuse internally.
Checklist
Stable /capabilities/ URLs referenced sitewide
Photos with captions tying to processes
Compliance claims scoped carefully
Common pitfalls
Wall of logos without specifics
Ambiguous geography of manufacturing vs fulfillment
Broken forms or opaque next steps
Metrics to track
Qualified RFQs per month
Bounce rate on capability pages
Time to first reply (business metric)