Market reality: how do US buyers use AI to screen suppliers?
US B2B buyers run the most AI-mediated supplier research in the world. ChatGPT serves roughly 900M weekly users, Perplexity processes over 1B queries a month with near sentence-level citation, and Google AI Overviews reaches 2.5B+ monthly users with Gemini 3 as the default model since January 2026. When a sourcing manager asks for reliable suppliers in your category, the engine runs query fan-out — decomposing the ask into sub-queries about certifications, reviews, complaints and alternatives — and synthesizes a shortlist. With roughly 68% of AI-Overview sessions ending zero-click, the answer itself is often the whole evaluation.
What question clusters decide US shortlists?
- Verification: is this company legitimate, where is it registered, who owns it.
- Compliance: UL/ETL, FCC, FDA, CPSIA — asked by name, per product line.
- Commercials: MOQ, lead time to US ports, payment terms, tariff exposure.
- Reputation: reviews, complaints, Reddit threads, lawsuit or recall history.
- Comparison: supplier X versus supplier Y versus the domestic incumbent.
Language and locale asset requirements
English (en-US) is non-negotiable and sufficient; the work is precision, not translation. Declare hreflang en-us on US-targeted pages if you run a multilingual site — see multilingual GEO. A .com domain works fine; a ccTLD adds nothing in the US. What engines do read as locale proof: a consistent US entity or representative office, a US phone number, and US warehouse or service presence stated identically everywhere. Keep the facts byte-identical across your site, Bing Places, directories and marketplace profiles.
The third-party source graph that matters in the US
- Review platforms: Trustpilot, Google reviews, BBB; G2 and Capterra for software-adjacent offers.
- Industrial directories: ThomasNet-class directories remain heavily cited for manufacturing queries.
- Community: Reddit threads in category subreddits are read by buyers and engines alike; a complaint thread outranks your homepage in an AI answer.
- Trade media: vertical publications with real editorial standards; one data-backed placement beats ten press releases.
Do Google Business Profile and Bing Places matter?
Yes, twice over. Gemini-powered local answers lean on Google Business Profile, Maps and reviews, so any US office or warehouse should carry a complete, review-generating GBP listing. And because ChatGPT retrieval depends on the Bing index, Bing Places parity plus Bing Webmaster Tools submission with IndexNow is the cheapest visibility win available — allow the GPTBot, OAI-SearchBot and ChatGPT-User crawlers while you are there. Google-Extended controls training only, not answers, so it is not a visibility lever.
Content engineering for the US market
Rebuild the top pages as answer blocks against the question clusters above: certification pages with certificate numbers and verification links, MOQ and lead-time tables, a who-we-are page that resolves the legitimacy question with registry facts. Win the full pipeline — retrieval, grounding, generation, citation — not just indexation.
What does a 90-day POC look like?
- Week 1: baseline the four dimensions — Visibility, Citation Rate, Semantic Coverage, Brand Perception — on a fixed 50-100 question set in English, screenshot-documented.
- Weeks 2-10: entity cleanup, Bing/IndexNow, review-platform completeness, answer-block reformat of the top 10 pages, two trade-media placements.
- Week 12: re-measure the identical question set and compare against the baseline and named competitors.