Industries · Manufacturing
Procurement and engineering teams now ask AI assistants to shortlist suppliers by capability, certification and lead time. Manufacturers whose specs live in PDFs rarely make that list.
Real-world examples of the prompts we test. In your audit we build 40 or more like these from your actual services and regions, then run each one on six AI assistants.
The patterns we see most often. Each one is fixable.
Equipment lists, tolerances and materials often sit in spec-sheet PDFs or images that models can't parse reliably, or don't prioritize.
An ISO or AS9100 logo in the footer isn't something a model can quote. The certification, scope and date need to be written out on the page.
Beyond one directory listing, many manufacturers have few independent mentions, so AI defaults to larger, better-documented competitors.
When every page ends in a quote form with no specifics, AI has nothing concrete to say about you.
Yes. Engineers and buyers increasingly use ChatGPT, Copilot and Perplexity to build a first supplier shortlist by capability, certification and location, then check those suppliers' websites. If you're not on that first list, you're usually not evaluated at all.
Referrals increasingly get checked with AI. A buyer who hears your name will often ask an assistant about you. If it returns nothing, or outdated or wrong capabilities, that referral loses momentum.
The free Agent Blindness Report runs prompts like these for your company and your competitors, and shows what it costs you. Delivered in 48 hours.