How Artificial Intelligence Has Changed the Way We Search the Internet
Artificial intelligence is changing consumer behavior, the way we look for information, and with it, the way businesses have to be discovered. Ranking on page one and being recommended by an AI are now two separate jobs.
By Bruna Sotte de Carvalho, published August 24, 2026, 7 minute read
The way people search for information on the internet is changing, and the shift goes far beyond technology. Artificial intelligence is changing consumer behavior, the way we look for information, and with it, the way businesses have to be discovered.
For many years, when we had a question, our behavior was predictable. We went to a search engine, typed a few keywords, and scanned the results. Someone learning to bake searched “how to make a cake.” Someone who needed a service searched “best Italian restaurant in Orlando,” “air conditioning company near me,” or “how to replace a faucet.”
The whole process ran on keywords. We had to compress a question into the handful of words a search engine could interpret, and the engine handed back a list of pages that might contain the answer. Finding the answer inside that list was still our job.
The Battle for the First Page of Google
For a long time, appearing on the first page of Google was one of the main goals of a digital marketing strategy. Companies invested in SEO to improve their organic rankings, while others paid to appear at the top of the same page.
Keywords were only the entry fee. Where a business landed on the results page also depended on:
- the quality and relevance of its content
- website structure and technical health
- domain authority and the links pointing to it
- the experience someone had once they arrived
- reviews, ratings, and local presence
For local businesses, reviews and a complete Google Business Profile became central to whether people found them at all. Our local SEO guide for Central Florida businesses covers how those signals stack up in this market.
Then came the part that is easy to forget. The user searched, received a list of options, and did the rest of the work themselves. They opened different websites, compared information, read reviews, checked prices, evaluated services, and finally decided which answer seemed most appropriate.
Now that work is being done for them.
From Keywords to Complete Questions
With generative artificial intelligence in everyday use, searching has started to feel much more like a conversation. Instead of thinking only in keywords, we can simply explain what we want to know.
Instead of searching for “best Italian restaurant Orlando,” we can ask:
“I’m looking for an Italian restaurant in Orlando to celebrate my birthday. I want a more upscale place with good reviews, a pleasant atmosphere for a family, and preferably somewhere that isn’t too far from where I am. What options would you recommend?”
The difference is context. The first version provides a few keywords. The second explains an entire need.
It feels like talking with someone who already understands the subject. We explain what we want, add detail about our situation, ask follow-up questions, correct what the answer got wrong, and keep going until we reach something useful.
Tools such as ChatGPT, Gemini, and Claude have made that behavior ordinary, and the same shift is happening inside traditional search. Google has been folding artificial intelligence into the results page itself, so a complete answer often arrives before anyone visits a website. Marketers already have a name for what that produces: the zero-click search.
“I Don’t Know. I’ll Ask AI.”
Perhaps the biggest change is in what people now expect. Not long ago, someone who did not know something would say “I don’t know,” “I need to look it up,” or “I’ll search for it online.” Today the answer is increasingly “I’ll ask AI.”
That sounds like a small change in phrasing. It is a significant change in behavior. People no longer want a list of ten links to evaluate. They want an answer.
Depending on the question, artificial intelligence does not just answer. It also:
- organizes scattered information into one place
- compares alternatives side by side
- explains concepts at whatever depth the person asks for
- suggests products and shortlists companies or service providers
- helps the person actually decide
Which means the discovery of a brand can now happen somewhere a business cannot see. Instead of finding a company on a results page, a consumer asks which company best meets their needs and receives a shortlist assembled from context they never typed into a search box.
What Does This Mean for Businesses?
If consumer behavior has changed, marketing strategy has to change with it.
For years, many companies organized their effort around one question: “How do I get my business onto the first page of Google?” That question is still relevant. It is no longer sufficient.
A second question now sits beside it: “How do I make sure my business is found, understood, and recommended when someone asks an artificial intelligence system a question?”
Answering it has a name, Answer Engine Optimization, and a close cousin in large language model optimization. Two pieces on this site go deeper: the AMA Orlando guide to Answer Engine Optimization and the generative engine optimization playbook.
Where to Start
None of this means SEO is dead. Quite the opposite. Relevant content, authority, digital presence, reputation, structured information, and a good online experience matter more than before, because they are the raw material an AI system reads before it recommends anyone. The new landscape did not replace the old work. It added a layer on top of it.
A few practical places to begin:
- Answer the question your customer actually asks. Use the full question as a heading, then answer it plainly in the first paragraph underneath, before the marketing language starts. Doing that without flattening your brand is its own craft, covered in writing for people and machines at the same time.
- Make the facts machine-readable. Hours, service area, pricing model, and credentials belong in structured data and in plain text on the page, not only inside an image or a PDF. The SEO checklist covers the technical side.
- Keep reviews and your Google Business Profile current. They are among the few third-party signals an AI system can verify about a local business.
- Be quotable. Short, specific, factual sentences get cited. Vague superlatives get skipped.
- Read what the machines already say about you. Ask ChatGPT, Gemini, and Claude the questions your customers ask, and treat the answers as a report card. How to audit what AI says about your business is the step by step version, and the AEO field guide is the companion worksheet.
The consumer journey no longer necessarily begins with a keyword. It can begin with a complete question, a specific need, and a conversation.
In this new environment, businesses need to be prepared not only to be found, but also to be understood, considered, and recommended by artificial intelligence systems.
Search is moving beyond being simply a list of links and becoming a conversation.
And this transformation is only beginning.
Key Takeaways
- Search behavior has moved from keywords to complete questions, because an AI system can hold context that a search box never could.
- People increasingly want an answer rather than ten links to evaluate, which means fewer of them reach your website at all.
- Brand discovery now happens inside AI answers, where you cannot see the query and cannot buy the placement.
- SEO is not dead. It is the input layer that AI systems read before deciding who to recommend.
- Ranking on page one and being recommended by an AI are two separate jobs now, and both belong in the plan.
- Two companion pieces continue this: auditing what AI says about your business and writing for people and machines at the same time.
- AMA Orlando members can go deeper through the chapter sessions on our events calendar and the wider resource library.
Topics: ai search, consumer behavior, aeo, seo, generative ai, zero-click search