TL;DR: AI agents from OpenAI ChatGPT and Google Gemini are replacing traditional search for millions of users, forcing businesses to rethink how they structure content — though experts like Cameron LiButti of Bidview Marketing argue the core SEO fundamentals still apply.
The way people find and buy products is shifting beneath businesses faster than most have noticed. A recent Fortune commentary describes a purchase made entirely through an AI agent — no browser, no search engine, no comparison shopping. The agent handled discovery, evaluation, and transaction without a single human click.
The Scale of the Shift
McKinsey projects agentic commerce will drive up to $1 trillion in US retail revenue by 2030, but the early signals are already visible today. According to Fortune, Target is seeing ChatGPT referral traffic grow 40% month-over-month, while some brands now attribute 10% of their revenue directly to agentic channels. Walmart and Etsy are also investing in APIs and structured schemas tuned for how AI agents consume information.
Consumer behavior is moving in the same direction. An Adobe study cited by Fortune found that 14% of US consumers are already using ChatGPT over Google for search. The jump from typing a query into Google to delegating a purchase to an AI agent is a smaller behavioral step than most marketers assume.
Traditional SEO Is Not Dead
Cameron LiButti, founder and CEO of Bidview Marketing, pushes back on the panic. His argument is that the underlying engine has not changed — only the interface sitting on top of it has. ChatGPT and Gemini are pulling from the same organized web of citations, reviews, and site architecture that Google has always indexed.
“The algorithm is still using your website, your citations, your Google Business signals,” LiButti told TechBullion. Businesses that built clean site architecture and authentic reviews over the past several years are already well-positioned. The fundamentals compounded rather than expired.
That said, the Fortune analysis points to a stark data point: only 12% of URLs cited by AI tools overlap with Google’s top 10 results, and 90% of the sources ChatGPT cited were not on Google’s first 20 pages. Traditional SEO alone no longer guarantees visibility.
What Actually Changes for Businesses
- Structure content with clear FAQs, specific use cases, and direct answers — not keyword-stuffed landing pages
- Build reviews across Google, Yelp, Facebook, and niche directories, since AI platforms weight multi-source reputation signals
- Invest in clean, machine-readable product data through APIs and structured schemas
- Monitor lead flow as the primary performance metric, not vanity ranking reports that shift with each user query
A Fortune case study describes a robotics company that achieved a 94% increase in agentic visibility in four months by restructuring its content for Answer Engine Optimization. The original content was written for humans but lacked the structured formatting that large language models rely on when extracting and citing information. Once restructured, the brand became the reference point in its category and AI agents began recommending it by name.
LiButti offers a parallel example from his own client work. A tax attorney whose digital presence Bidview Marketing optimized now receives between one-third and one-half of new business through ChatGPT. The AI handles early-funnel education that previously required multiple Google searches, delivering warmer, higher-converting leads directly to the attorney.
Key Takeaways
- AI agents are already influencing 10% of revenue for early-adopting brands, with agentic commerce projected to reach $1 trillion in US retail by 2030
- Only 12% of URLs cited by AI tools appear in Google’s top 10 results, meaning traditional SEO rankings no longer predict AI visibility
- Core SEO signals — structured sites, authentic reviews, authoritative content — remain the foundation AI platforms pull from
- Structured content with clear FAQs and specific use cases is the fastest route to appearing in AI-generated recommendations
- Lead flow and revenue, not ranking reports, are the only reliable metrics for measuring AI search performance
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