For most of the past two decades, a customer looking for a product, a service, or a supplier did roughly the same thing: typed a few words into Google, scanned a page of blue links, and clicked. But that habit is changing.
A growing share of people now start by asking an AI assistant (ChatGPT, Google’s AI Overviews, Gemini, or Perplexity) and reading the answer it returns. Instead of choosing from a list of websites, they get a short recommendation that already names a handful of options. The practical result for any business is that discovery is moving upstream, into a layer most owners never see and cannot directly buy their way into. Being found now depends, in part, on whether AI systems have learned that your business exists, what it does, and why it is credible, long before a customer ever types a question.
What changed about the way people search?
The shift is not subtle once you look at the numbers. Gartner has forecast that traditional search engine volume will fall 25% by 2026 as AI chatbots and virtual agents absorb queries that once went to search engines. People are not asking fewer questions; they are getting their answers in a different place.
Much of that activity now happens inside conversational tools. Bain & Company found that ChatGPT prompt volume grew roughly 70% in the first half of 2025, with shopping-related questions roughly doubling over the same six months. For a business, each of those exchanges is a moment of discovery that never shows up in a website analytics dashboard.
How are customers actually using AI to find businesses?
The behavior spans the whole buying journey, not just the final purchase. In one December 2025 survey of shoppers in the United States and the United Kingdom, about one in six said they typically begin product research with an AI tool such as ChatGPT, Gemini, or Perplexity rather than a search engine. Separate consumer research has found that close to 60% of Americans have used generative AI tools for some part of their shopping.
People use these tools to compare options and narrow a shortlist. Then they sanity-check the decision. A prospective customer might ask which firms handle a particular service, what the trade-offs are between two vendors, or which local provider has the strongest reputation, then act on the answer without visiting a single company’s website. For broader context on how this technology is reshaping commerce, Exeleon’s coverage of AI’s impact on business development is a useful primer.
Why does this change who gets recommended?
Traditional search rewarded the page that ranked highest for a given keyword, but AI-driven discovery works differently. An assistant assembles its answer from patterns across everything it has read — articles, reviews, directories, news coverage, and reference sites — and tends to surface the businesses that appear consistently and credibly across those sources. Visibility becomes less about a single ranking position and more about a reputation that is legible to a machine.
“When someone asks an AI assistant for a recommendation, it answers from what it has already read about you across the web, not from an ad you placed that morning,” says Aaron Haynes, CEO of Loganix, an SEO and marketing fulfillment provider that works with digital agencies and businesses. “The companies that surface are usually the ones that have been mentioned consistently and credibly in the places these systems learn from.”
The implication is that the inputs shaping these answers are spread across the open web, not concentrated on a company’s own homepage. A business with a thin presence outside its own site can be effectively invisible to a system that learns from how others describe it.
What can a business do about it?
None of this requires abandoning the fundamentals. Clear, accurate, well-structured information still matters, arguably more, because both search engines and AI systems reward content that is straightforward to extract and trust. A few practical priorities tend to apply across industries:
- Keep your core facts consistent everywhere (name, location, what you do, and who you serve) across your site, profiles, and any directory or review platform a customer might consult.
- Earn mentions in credible, independent sources, since AI systems weigh what others say about you, not only what you say about yourself.
- Maintain the channels you control — email, your customer base, and direct relationships — so discovery is not entirely dependent on any one platform’s algorithm.
- Make your own content genuinely useful and specific, so it is easy for both readers and AI systems to quote and attribute.
Does this mean traditional search is finished?
No. Google still handles the majority of queries, and many high-intent searches, especially transactional ones, continue to drive direct clicks. What is changing is the front end of discovery: more journeys now begin with a synthesized answer, and the businesses named in that answer enjoy a head start the others never see. The sensible response is not to bet everything on one channel but to make sure your business is discoverable in both worlds. Marketing leaders tracking these shifts will recognize the pattern from earlier platform transitions, a theme Exeleon explores in its look at AI’s impact on modern marketing.
For founders and executives, the takeaway is straightforward. The storefront has quietly expanded to include conversations you are not part of. The businesses that do well in this environment are the ones that have made themselves easy to find, easy to understand, and easy to vouch for, wherever a customer or an algorithm happens to be looking.
Frequently asked questions
How do customers find businesses through AI assistants?
They ask a conversational tool like ChatGPT, Gemini, or Perplexity a question — such as which providers offer a service, or how two options compare — and the assistant returns a synthesized answer that names specific businesses, drawing on information it has gathered from across the web.
What is the difference between AI search and traditional search?
Traditional search returns a ranked list of links for the user to choose from. AI search returns a single composed answer, often naming a few options directly, so the user may never click through to a website at all.
When should a small business start adapting to AI-driven discovery?
Now, and incrementally. Because AI systems learn from information that already exists across the web, the consistency and credibility you build today shape how you are represented in answers months from now.
What types of businesses are most affected?
Any business customers research before buying (service providers, local businesses, software, and considered purchases) is affected, because these are exactly the kinds of questions people bring to AI assistants.
How can a business tell whether AI tools are recommending it?
Ask the major assistants the kinds of questions your customers would, and see whether and how your business appears. It is a rough check, but it reveals what these systems currently associate with you.
