You did the translation. The English is clean. The hero still leads with company history, DIN, and ISO. The US procurement reader scans for category, peer set, and an outcome number in the first fold, does not find them, and clicks away. Translation is not US commercial architecture. They are two different builds.
BOUNCE.
If the bounce is on the homepage and not the product pages, the opening fold is the problem. If the bounce is on the product pages, the spec sheet is. Look at the path before you blame the translation.
The German homepage was built for a German reader who scans for capability, certification, and continuity before commercial outcome. ISO 9001, DIN EN, fifty years of family ownership, and Fertigungstiefe sit at the top because those are the load-bearing claims in the German register. The site converts in Germany because the buyer reads it in the order the page presents it.
The US procurement reader scans the same opening fold for four different things in roughly fifteen seconds: which US category, which US installed base, which US service architecture, which USD pricing posture. Per a Princeton GEO study, pages with embedded citations, statistics, and clear category claims get cited by AI search up to 40% more often than pages that do not carry those signals. The same filter the human buyer uses, ChatGPT now uses. Your translated site fails both reads at the same time.
The volume problem compounds. Reuters reported ChatGPT at 800M weekly active users in February 2026 and Gartner projects 90% of B2B purchases will involve AI agents by 2028. Forrester puts 1 in 5 B2B sellers facing an AI buyer-agent before the end of 2026. The US buyer's first read of your site is now often a model, not a person. The model wants structured claims, named numbers, and cited sources. A homepage opening with a Geschäftsführer letter gives the model nothing to extract.
The four-question filter is mechanical. Per the US Bureau of Economic Analysis FDI inflows series 2025, German direct investment into the US is at a multi-year high and the US OEM procurement function sees more German vendors in their funnel than at any point in the last decade. The US buyer is not being unkind. They are sorting more files faster. A site that does not surface the four signals above the fold gets sorted out before the buyer reaches the product pages.
If you have your sales head bring up your homepage on their laptop and ask three US procurement contacts what category you are in, will all three give the same answer?
"Translation is a language event. Conversion is an architecture event. The English on the page can be perfect and the building can still face the wrong street."House reading
Stage one: name the US category. One sentence, above the fold, written for the US procurement reader. Not the firm's home-market category translated word for word. The US category as the US buyer sorts it. The hero changes, the page changes downstream.
Stage two: surface the US peer set and the outcome number. If a US installed base exists, name it. If it does not yet, name the closest peer set with the European installations rendered in US format: customer, named throughput, named warranty cost reduction, named uptime. The DIN, ISO, Fertigungstiefe block moves below the fold as supporting evidence.
Stage three: ship the US service and pricing architecture. US-time-zone support hours, parts availability windows in US business days, USD pricing posture (fixed quote, not Stundensatz), warranty in US format. The German site continues unchanged for the German market. The US site runs in parallel under hreflang.
This work fits inside a Cross-Border Build (three to six months for the full US commercial rebuild including the US-facing site, paid, conversion, sales enablement) or a Market Entry Sprint (six to ten weeks for one US category and the first US-readable materials stack including the US-facing landing pages). Pricing is confirmed in discovery, not on the public site. Groups running several US-facing brands can engage on a Group Partnership: monthly retainer, twelve-month minimum.
| Before rebuild | After rebuild |
|---|---|
| Hero leads with company history and DIN/ISO stack | Hero leads with one US category claim above the fold |
| Case-study wall: BMW, Siemens, Daimler, ZF (all DE) | Case-study wall: US peer set or European installs in US outcome format |
| Pricing reads "ab" or Stundensatz | USD fixed-quote anchor, US-format warranty and SLA |
| Geschäftsführer letter opens the page | Founder voice carries below the outcome layer, not above it |
| US bounce 72%, time on page 14s | US bounce under 45%, time on page over 90s within 90 days |
| AI buyer-agents cannot cite the firm | Structured claims, schema, named statistics, hyperlinked sources |
Stage one and two are non-negotiable for a US-facing surface. Stage three is the operational layer the German team can run after handoff or under a Group Partnership for ongoing rebuild and run.
"68% of German Mittelstand companies now actively seek international innovation partnerships, with US expansion the dominant 2026 destination. The buyer side is ready. The supplier-side commercial architecture often is not."
"Zero conversions after two months usually isn't a traffic problem; it is a trust and localization problem. If you haven't solved the technical friction of the US workflow, you are likely misreading demand."
The translation is fine. The architecture is wrong. The opening fold still leads with company history, ISO certificates, and capability matrix. The US procurement reader scans the top of the page for one category claim, one outcome number, and a US installed base. None of those are there. A Princeton GEO study showed pages with citations, statistics, and clear category claims get cited by AI engines up to 40% more often. The same signals the human buyer scans, AI buyer-agents now scan, and your site fails both filters at the same time.
It opens with one US category claim above the fold, names a US peer set or installed base on the same screen, states the US service and parts architecture in US-readable form (parts in 48 hours, US-time-zone support, USD pricing), and routes the visitor to one inquiry path. The German credentials, family history, and DIN/ISO stack move to the supporting evidence layer below the fold. Per Roland Berger 2025-2026, 68% of German Mittelstand firms now actively pursue international innovation partnerships and the US is the dominant 2026 destination.
Yes. The German site keeps running unchanged for the German market. The US-facing site is a separate locale or a separate domain calibrated for the US procurement reader. Hreflang separates them. The two carry different commercial architectures because they speak to different buyers. The principal voice carries across both, written natively in each language rather than translated.
Both, and the ratio is moving fast. Gartner projects 90% of B2B purchases will involve AI agents by 2028. Forrester puts 1 in 5 B2B sellers facing an AI buyer-agent by end-2026. ChatGPT runs 800M weekly users per Reuters February 2026. The US-facing site needs to read for the AI agent the way it reads for the procurement officer: structured claims, named statistics, cited sources, machine-parseable schema. A translated home-market site fails both.
Three engagement shapes. Market Entry Sprint covers one US category and the first US-readable materials stack including the US-facing landing pages in six to ten weeks. Cross-Border Build covers the full US commercial rebuild including the US-facing site, paid, RFP architecture, and sales enablement over three to six months. Group Partnership is a monthly retainer with a twelve-month minimum for groups running multiple US-facing brands. Pricing is confirmed in discovery, not on the public site.
No. A US case-study page nested three clicks deep does not fix the opening fold the visitor already left. The bounce happens in the first fifteen seconds on the homepage and the top product pages. The case study is invisible to the buyer who bounced. The rebuild has to start at the fold the visitor sees first.
They can keep ownership of the German site. The US-facing build is a parallel surface with its own commercial architecture, its own conversion logic, and its own analytics. It does not require touching the German site. After the rebuild the German team can take handoff and operate it, or the engagement can continue under a Group Partnership for ongoing rebuild and run.
Inquiry through the contact form, then a short discovery conversation. Send the current US-facing URL, the German site for comparison, the analytics snapshot showing the bounce, and any US sales-call notes mentioning the site. 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 or FDA submission. No IP filing. No contract drafting. No M&A advisory. These belong with German counsel, US counsel, and regulatory specialists. When a marketing decision carries legal or tax implications, the firm flags it and defers before execution.
Sources cited on this page: Roland Berger Mittelstand survey 2025-2026, US BEA FDI inflows by country 2025, White & Case M&A Explorer 2026, Princeton GEO study on AI-citation rates, Reuters February 2026 on ChatGPT 800M WAU, Gartner agentic commerce forecast for 2028, Forrester B2B AI buyer-agent forecast end-2026, Cloudflare Radar 2026 traffic composition.