Global SEO and GEO Visibility for Jidoka Technologies

Jidoka builds Vision AI for manufacturing, competing for a first-time-right position across automotive, FMCG, pharma, electronics, and logistics. But their content presence didn't match their ambition. To become a recognized global leader, they needed visibility in two places at once: traditional SERPs and the AI answer engines now shaping how buyers research vendors, across every country they were trying to enter.

Start with competitor research: map how existing Vision AI and manufacturing-tech players were showing up in search and in AI-generated answers, and find the gaps Jidoka could own. Build a content strategy from that research targeting SEO and GEO together, so each post was written to rank in classic search and to be citeable by AI engines answering buyer questions about vision inspection, defect detection, and process intelligence.

Delivered a full competitor research report identifying where Jidoka could compete and where the content gaps were. Used it to guide 240-plus AI-SEO blog posts shipped over 6 months, each mapped to a specific keyword and buyer intent across Jidoka's core use cases: defect detection, kitting, label verification, and process optimization. Content was structured for direct, structured answers so it could get surfaced by AI search, not just rank in blue links.