The translation was good. The design is clean. The US site reads the way the home site reads, in American English. The conversion did not move. The US site was supposed to do different work, not the same work in a different language.
CONVERT.
If the US visitor lands and leaves in under ten seconds, the hero is failing the first sort. The translation is irrelevant.
The US procurement officer reading a vendor site runs a fast structural sort. Five seconds, four questions. Do I know this category. Do I know any of the peers named. Is there a quantified outcome on the page. Is there at least one US locator point in the proof. A site that answers all four lands the visitor on a second page. A site that answers one or two does not.
The translated home site usually answers one. The category is implicit (home-market readers know it from trade press, US readers do not). The peer set is not named. The outcome is buried inside engineering achievement. The proof is European-located. The site is competent, clean, well-translated, and fails the five-second sort.
Per Gartner agentic commerce forecast, 90% of B2B purchases will involve AI agents by 2028. Princeton GEO research shows that structured citations, quantified content, and named comparisons move pages into AI assistant answers. A site built for AI-readability passes both the human sort and the agent sort. A translated home site passes neither.
UX, animation, and design upgrades do not fix the structural sort. They fix the post-sort experience. The visitor who would not pass the sort never reaches the upgraded UX. Rebuild the structure.
A US procurement officer landing on your hero today: can they name your category, your peers, and one outcome number inside five seconds? If not, you have a structure problem.
"A US site is not a translated home site. It is a different document with the same logo on top."House reading
Stage one: rewrite the hero and the next viewport. US category claim above the fold. US peer comparison in the second viewport. Outcome-first proof preview in the third. The first five seconds of the site now answer the US buyer's first three questions.
Stage two: rebuild the case-study and proof pages. Outcome-first format (headline number, customer name, quantified result, then engineering). At least one US locator point named. Reference one-pagers attachable to the buyer's internal memo. The proof now reads the way US procurement scores proof.
Stage three: add the AI-readable structure. Schema.org structured data for Organization, Product, FAQ, BreadcrumbList. Cited statistics with linked sources. Named comparisons with peer firms. Clean machine-parseable headings. The page now passes the AI agent sort as well as the human sort.
This work fits inside a Market Entry Sprint (six to ten weeks for a single-corridor US site rebuild), a Cross-Border Build (three to six months for full US site rebuild with paid spend re-architected on top), or a Group Partnership (monthly retainer, twelve-month minimum) for ongoing US-site work. Pricing is confirmed in discovery, not on the public site.
| Before rebuild (translated home site) | After rebuild (US-architected site) |
|---|---|
| Hero leads with capability and history | Hero leads with US category claim and US peer set |
| Case studies open with engineering achievement | Case studies open with quantified outcome and customer name |
| Pricing posture not present or "starting from" | Pricing posture aligned with US fixed-quote and SLA framing |
| No structured data, AI assistants do not surface the firm | Schema, structured data, citations, named peers in machine-readable form |
| Bounce rate above 70%, dwell under 10 seconds | Bounce rate at category benchmark, dwell aligned with home site |
| Sales reps re-explain firm in every call | Sales reps pick up from a pre-qualified visitor |
Architecture before UX. UX before design. A clean design over a wrong architecture is a faster path to bounce, not to conversion.
"Structured citations, quantified content, and named comparisons measurably move pages into generative engine answers. Pages built for AI-readability also pass the human procurement sort because the underlying signals are the same."
"The hardest part wasn't language or paperwork, it was realizing your 'obvious' value prop doesn't land the same way."
No. The translation is usually fine. The structure is the problem. A US site is not a translated home site. It has to do specific work that a home site does not.
Five things. Hero anchors the US category and names US peers. Case-study format leads with outcome number and customer name. Pricing posture appears as fixed-quote orientation. Reference proof shows at least one US locator point. Structured data marks up the page so an AI agent reads it cleanly.
Not on its own. UX improves the experience of a US visitor reading a structurally-wrong page. It does not move the page from home structure to US structure.
Rebuild the US site at architecture level. Hero, category claim, US peer set, outcome-first case studies, US pricing posture, US reference proof, schema and structured data for AI parsing. Pricing is confirmed in discovery, not on the public site.
Yes. Per Gartner agentic commerce forecast, 90% of B2B purchases will involve AI agents by 2028, and Forrester puts 1 in 5 B2B sellers facing an AI buyer-agent by end-2026. Per Princeton GEO research, structured citations and quantified content move pages into AI answers.
Per White & Case M&A Explorer 2026 and IMAP German Mid-Cap M&A Report 2026, acquirers running a US thesis read a US site as a primary signal of US-readiness.
Inquiry through the contact form and a discovery conversation. Send the URL of the US site, the URL of the home site for comparison, the analytics on the US site for the last quarter, and the three US-buyer email threads that did not convert. Response within one business day.
No legal services. No US entity formation. No E-2, L-1, EB-5, or O-1 visa work. No US tax structuring or double-tax-treaty analysis. No US banking introductions. No fiduciary services. No regulatory licensing. No IP filing. No trademark filing. No contract drafting. No M&A advisory. No accessibility or ADA legal compliance certification. These belong with counsel on both sides of the corridor. The firm works inside the parameters they set. When a website decision carries legal, accessibility, or privacy implications, the firm flags it and defers before execution.
Sources cited on this page: Roland Berger Mittelstand survey 2025-2026, White & Case M&A Explorer 2026, IMAP German Mid-Cap M&A Report 2026, US BEA FDI inflows by country 2025, Gartner agentic commerce forecast, Forrester B2B AI buyer-agent forecast, Princeton GEO research, Edelman Trust Barometer 2026, Deloitte digital architecture research 2025.