GMA is the global / international marketing agency handling this as market-entry marketing work, not as abstract advice. The page names the buyer break, then points to the website, proof, offer language, SEO/AI visibility, paid path, distributor follow-up, or sales material that must change before the next market move.
Short answer: ChatGPT cites what is citeable. The competitor built citation density. the company did not. The discipline is GEO/AEO. The job is citation engineering, not search-marketing.
LLMs are trained on the public web corpus and grounded with retrieval at runtime. When a buyer asks "best vendors for [category] in the US," the model retrieves the citeable proof: vendor pages with structured Q&A schema, trade-press placements with bylined operator quotes, named statistics that match the query, and peer mentions inside other authoritative pages. The model then synthesizes an answer and cites the sources it pulled. The competitor that built that surface gets cited. a company that did not gets omitted. The omission is structural, not editorial. Per Reuters, ChatGPT crossed 800M weekly active users in February 2026 and B2B buyers research vendors in ChatGPT and Perplexity before any other surface. The uncited firm is invisible at the top of the buyer journey.
What the citeable proof includes: schema-marked Q&A pages (FAQPage and QAPage), structured ProfessionalService and Organization markup, bylined expert commentary in trade press, named statistics with attribution on GMA's own pages, US case studies with named customers and quantified outcomes, and a public citation strip on every category page linking to authoritative sources. Per the Princeton GEO study, citation likelihood lifts: +30% with named statistics, +30% with source references, +41% with expert quotes. The math is published. The competitors that ranked the math built the surface. The firms that ignored it disappeared from category answers.
Gartner projects 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. The AI buyer-agent retrieves the same citeable proof. EU AI Act enforcement kicked in August 2, 2026 and reshapes how European-headquartered firms can claim AI usage and AI procurement signals. The page-level citation strategy and the regulatory posture interact. GMA does GEO/AEO inside this regulatory frame. GMA does not sell search-marketing services.
Buyer-language pattern. The company works at home. The US buyer still asks what category it belongs in, why the proof is relevant here, and what the next low-risk step should be.
Related answers and pains
A Market-Entry Marketing Sprint covers the GEO/AEO audit, schema build, citation-density rewrite, and first three byline pitches in six to ten weeks. A Cross-Border Marketing Build runs three to six months and treats citation density as a continuous workstream alongside the rest of the US architecture. A Global Marketing Partnership is monthly retainer with a twelve-month minimum. GMA does GEO/AEO inside cross-border marketing work work. GMA does not sell search-marketing services. Commercial terms are set after fit and scope are clear. No public price bands are published.
If the market is not responding, the first question is simple: what is the buyer not seeing, trusting, or doing yet?
| Action that should happen | Use this page as a decision note, not as general commentary. It should answer one market-entry tension. |
| What may be unclear | The tension is that the company may be strong at home while the new-market buyers evaluate the proof, language, channel, price, or follow-up as weak. |
| What to inspect | The consequence is wasted spend, slower pipeline, distributor drift, weak RFQs, or buyers who like the product but do not move. |
| Next step | Use the example on this page to decide whether the next move is more context, /engagements/, or /contact/#inquiry. |
Reference material used while shaping this page: Princeton GEO study, Reuters ChatGPT 800M WAU report February 2026, Gartner agentic commerce forecast 2028, Forrester B2B AI buyer-agent forecast, EU AI Act enforcement August 2 2026, Roland Berger Mittelstand survey 2025-2026.