The shift happening right now in how Americans find businesses
Something fundamental changed in US consumer behaviour over the past 18 months. Americans who used to type a query into Google and scan ten blue links are increasingly asking a question conversationally — in ChatGPT, in Perplexity, in Google’s AI Overview, or via a voice assistant — and receiving a single synthesised answer that cites one or two sources.
For US businesses, this is not a minor algorithm update. It is a structural shift in the customer acquisition funnel. The brand that gets cited in an AI answer captures the trust, the awareness, and increasingly, the enquiry. The nine brands that don’t get cited might as well not exist for that query.
This is what Generative Engine Optimisation (GEO) addresses: making your brand the one AI systems choose to cite when your potential customers ask the questions that matter to your business.
How US consumers actually use AI in their buying journey
Consumer AI usage in the US is not uniform — it clusters around specific moments in the purchase journey, and understanding those moments is essential for building an effective GEO strategy.
Discovery: "What should I even be looking for?"
AI assistants are rapidly replacing the early-stage research query. A New York professional who needs a new accountant doesn’t search "accountant Manhattan" and scroll directories any more — they ask ChatGPT or Perplexity: "What should I look for in a small business accountant in New York?" The AI responds with criteria and, critically, often names specific firms that meet those criteria. The brands that appear in that early-discovery answer shape the entire consideration set going forward.
Comparison: "How do these options compare?"
Once a US consumer has a shortlist, they increasingly use AI to compare options rather than opening multiple tabs. "Compare Salesforce and HubSpot for a 20-person sales team" or "What’s the difference between a Dallas performance marketing agency and an SEO agency?" The brand that appears positively in these comparison answers — and that has content specifically structured to handle these comparison queries — earns a disproportionate share of the decision.
Validation: "Is this brand actually good?"
Before converting, US consumers use AI to validate. "Is [brand name] reputable?" or "What do people say about [service provider]?" These queries pull in review signals, press mentions, and third-party content. For US businesses, this makes earned media, review volume, and authoritative mentions critical GEO signals — not just social proof for human readers, but citation inputs for AI systems.
“The brand that gets cited in an AI answer inherits the trust of the AI itself. That’s a fundamentally different kind of endorsement than a position-one ranking.”
Mitch Finlayson, GEO & AI Search Lead, Synap GrowthHow GEO is reshaping specific US industries
The impact of AI-driven consumer behaviour is not uniform across sectors. Some US industries are experiencing rapid GEO disruption; others are still primarily SEO-driven but approaching an inflection point.
Professional services (law, finance, consulting)
New York and San Francisco professional services firms are among the earliest and hardest hit. High-value clients — who are disproportionately AI-savvy — increasingly ask AI for provider recommendations before they ever open a browser. Law firms and financial advisors that have invested in authoritative long-form content, expert-attributed articles, and coverage in trade publications are seeing AI citation disproportionately rewarded. Those that rely solely on traditional SEO and Google Maps rankings are seeing their pipeline quality and volume decline.
Healthcare and dental
Healthcare AI queries are high-trust, high-stakes decisions. When a Dallas resident asks "What’s the best periodontist near Dallas?" or "How do I find a good endodontist in New York?", AI responses pull heavily from authoritative medical content, practitioner credentials, and verified review signals. Healthcare practices that publish condition-specific content, build practitioner profiles, and maintain consistent reviews across Google, Healthgrades, and Yelp are much better positioned for AI citation than those that don’t.
E-commerce and retail
Amazon’s own AI search features — combined with ChatGPT’s increasing ability to recommend specific products — are reshaping how US shoppers discover new brands. A consumer asking "What’s the best reusable water bottle for hiking?" may receive an AI-curated list that never involves a traditional Google search. Brands with strong review velocity, clear product differentiation content, and presence on authoritative review sites are winning this emerging AI discovery channel.
Local services (home services, restaurants, fitness)
AI assistants are increasingly the starting point for local service discovery, especially on mobile. "Best CrossFit gym in San Francisco" or "Good sushi near me in New York" — queries that used to route through Google Maps are now often answered by AI systems that synthesise Google reviews, Yelp data, and local authority signals. Local businesses that maintain impeccable review profiles and publish location-specific content are best placed to appear in these AI local recommendations.
AI systems weight content that is structured, authoritative, and directly answers questions. If your website reads like a brochure rather than an expert resource, AI engines will consistently prefer competitors who have invested in substantive content.
What GEO changes about how you need to market your US business
The rise of AI-driven consumer behaviour forces a meaningful shift in marketing investment for US businesses. Several assumptions that held true for a decade of SEO are no longer reliable guides.
Keyword ranking is no longer the only metric that matters
Traditional SEO success was measured by ranking position for a finite set of target keywords. GEO success is measured by citation frequency — how often your brand appears in AI answers to relevant queries. A business can rank #1 for "SEO agency Dallas" on Google while never appearing in a ChatGPT answer about Dallas digital marketing agencies. Both metrics matter; neither alone is sufficient.
Brand authority has moved from a nice-to-have to a core ranking signal
AI models weight brand authority heavily — measured through factors like backlink profile, press mentions, review volume, named expert content, and consistent on-topic publishing. For many US businesses, particularly in competitive markets like New York and San Francisco, building genuine brand authority now deserves as much investment as technical SEO and paid media combined.
Content needs to be built for machines as well as humans
AI engines parse content differently from human readers. They prefer direct answers to specific questions, hierarchically structured information, named and credentialed authors, and content that is factually verifiable. This doesn’t mean writing dull, mechanical content — it means structuring good content so AI can correctly identify and cite it. FAQs, structured headers, and clear expert attribution are no longer optional extras; they are foundational to GEO performance.
The GEO playbook for US businesses in 2026
For US businesses ready to build genuine GEO capability, these are the highest-leverage investments available today:
- Query universe research — Map the questions your target customers are asking AI systems, not just the keywords they’re typing into Google. (See our guide to Answer Engine Optimisation for a full framework.) These are more conversational, longer, and more intent-specific. Build your content strategy around answering them definitively.
- Expert-attributed content — Name your people. Attribute articles to named, credentialed experts at your firm. AI systems consistently weight expert-attributed content over anonymous or company-attributed content. If your New York marketing director writes about paid social trends, put their name and title on it.
- Structured data implementation — FAQPage, Article, HowTo, and LocalBusiness schemas help AI engines correctly parse and classify your content. This is especially critical for Google AI Overviews, which pulls heavily from structured, schema-marked content. They are free to implement and directly improve AI citation likelihood.
- Earned media and citation building — Get your brand mentioned in publications AI systems trust: industry trade media, regional business journals, national outlets where relevant. A mention in Crain’s New York Business or the San Francisco Business Times carries real weight as an AI citation signal.
- Review velocity management — Consistent, recent, high-volume reviews on Google, Yelp, and industry-specific platforms are AI discovery signals, particularly for local and professional services businesses. Build a systematic review generation process and make it part of your customer success workflow.
- Citation monitoring — Sample 50–100 relevant queries monthly across ChatGPT, Perplexity, and Google AI Overviews to track how often your brand appears versus competitors. This data is now as important as organic ranking reports.
The competitive window is open — but not for long
The brands investing in GEO right now are building a moat that will be increasingly difficult to close. AI systems develop preferences over time — the brands with the most citations today will continue to receive citations tomorrow, compounding their AI visibility while less-prepared competitors start from scratch.
In markets like New York, San Francisco, and Dallas where competition for high-value customers is fierce, GEO is not a future priority. It is a present competitive necessity. The businesses that treat it as such in 2026 will look back in three years at the moment they chose to act — or didn’t — as a genuine inflection point in their growth.
If you’d like to understand where your brand currently sits in AI search for your most important queries, talk to our GEO & AEO team — book a free citation audit and show you the gap between where you are and where your competitors are in AI-driven discovery.