Market Entry Sprint
Six to ten weeks. Single-engine citation rebuild on one corridor. Typical first engagement when one buyer question or one AI engine is the priority.
See the Sprint →
For international suppliers and cross-border operating groups whose US buyers are now researching vendor categories through AI engines first, with citation outcomes determining whether the cross-border brand makes the shortlist at all.
US buyers researching a foreign supplier category through ChatGPT, Claude, or Perplexity are asking questions the foreign supplier never ranked for in Google. "Who are reliable German engineering suppliers for US-OEM Tier-1 procurement." "Which DIFC family offices have US co-investment track records." "What Mittelstand companies serve US defence supply chains." The AI engine answers from its corpus. The cross-border supplier either has citation traction inside that corpus or is invisible.
Google search ranking has limited transfer here. The corpora and ranking mechanisms differ per AI engine. Each engine has a distinct citation pattern, and the cross-border supplier has to be visible inside the corpus, not only inside the open web.
The job is citation engineering, not search-marketing. AI-engine citation is a distinct discipline with its own ruleset, and GMA operates that ruleset directly rather than re-purposing search-marketing methods.
International supplier with US enterprise pipeline. Revenue band twenty-five million to two billion dollars at group level. English-language US-facing surface already exists or is being built. Commitment to rebuilding key cross-border-positioning pieces for AI-engine citation.
Out of scope. Search-marketing services of any kind. Paid AI-engine placement is not a current discipline. Generic AI thought-leadership generation is not what is being proposed here.
Six to ten weeks. Single-engine citation rebuild on one corridor. Typical first engagement when one buyer question or one AI engine is the priority.
See the Sprint →Three to six months. Cross-engine, cross-channel rebuild including LinkedIn entity layer, principal layer, and platform-tuned surfaces.
See the Build →Monthly retainer, twelve-month minimum. Ongoing AI-engine citation monitoring and content cadence across the cross-border supplier's full surface. Pricing is confirmed in discovery, not on the public site.
See the Partnership →No search-marketing services. GMA does not offer GEO or AEO as a redressed search-marketing product. No paid AI-engine placement. No generic AI thought-leadership generation. No social-media management. No PR-agency-style outreach. These belong with the client's PR firm, social-media agency, and content-production vendors where applicable.
No. Search-marketing targets results-page placement. GEO and AEO target citation inside AI-engine answers. The corpora, retrieval mechanisms, and content patterns differ. GMA does GEO/AEO inside cross-border architecture work, not search-marketing, and does not redress search-marketing methods as GEO or AEO.
Query-monitoring across the target AI engines for the target buyer questions. The supplier either gets cited or does not. Conversion downstream is tracked through the supplier's standard analytics.
Faster than search-marketing historically but slower than paid. AI engines update corpora on cadence. Citation traction typically begins to register inside 60 to 90 days for the first engine, longer for full multi-engine coverage.
Inquiry through the contact form and a discovery conversation. Sprint, Build, and Group Partnership are available. Pricing is confirmed in discovery, not on the public site.
The procurement layer that sits downstream of AI-engine citation. The agent reads the supplier after the buyer asks the engine.
Read the page →The trust layer that conditions whether a cited supplier gets the benefit of the doubt or the doubt without the benefit.
Read the page →The register and proof anchors that condition whether a foreign brand is read as institutional or commodity by US buyers.
Read the piece →"Instead of more outreach, audit your 'Trust Architecture.' Do you have US-based case studies, or does your data security meet local enterprise standards?"
Sources cited on this page: Princeton GEO study, Reuters / OpenAI ChatGPT 800M WAU Feb 2026, Gartner agentic commerce forecast (90% by 2028), Forrester B2B AI buyer-agent forecast end-2026, Cloudflare Radar 2026, EU AI Act enforcement Aug 2 2026, US Bureau of Economic Analysis FDI inflows 2025, US Census Bureau, OECD cross-border services trade.