AI is changing how people discover businesses, products, services, and information online. But I don’t believe that means we need to throw out everything we know about SEO and replace it with a new collection of acronyms.
In many ways, AI search is pushing us closer to what search was always supposed to do: understand what someone actually wants and find the best information to answer their question.
The biggest change may not be how we optimize websites. It may be how people search in the first place.
AI Search Makes Search More Specific
Traditional search often requires the user to do the research.
Imagine I’m looking for a pair of socks. I don’t just want red socks. I want red socks made from wool, using organic materials, and manufactured in the United States.
With traditional search, I might perform several searches, open multiple websites, compare products, read product descriptions, and eventually narrow everything down myself.
AI can potentially do much of that research for me.
I can simply explain what I’m looking for and let the AI find products that meet those requirements.
That has some very interesting implications for smaller businesses.
AI Search Could Be Great for Niche Businesses
Traditional search has historically rewarded visibility. If you’re sitting near the top of a competitive Google search result, you have a significant advantage.
AI can cut through some of that noise.
A small company may have a highly specific product that perfectly matches what someone wants, but the page describing that product might never rank on the first page for a broad, competitive keyword.
That doesn’t necessarily mean the information isn’t valuable.
An AI system looking for a very specific answer can potentially discover that page because the content itself closely matches the user’s intent.
Our hypothetical organic American-made wool socks don’t necessarily need to be the most popular socks on the Internet. They need to be the right socks for the person asking.
I think that creates a tremendous opportunity for niche products, specialized services, and smaller businesses competing against much larger brands.
Does AI Search Change SEO?
Yes and no.
The way people interact with search is changing dramatically. But many of the fundamentals behind creating content that deserves to be discovered haven’t changed at all.
There has been a rush to package AI optimization as something entirely new. You’ll hear terms such as AEO, GEO, AI SEO, LLM optimization, and whatever acronym comes next.
I think marketers need to be careful not to confuse a changing search interface with completely new rules.
Good SEO is still good SEO.
What Content Works Well for AI Search?
For content-based SEO, I believe pages should be informative, concise, useful, and easy to understand.
That doesn’t mean every article needs to be short. It means an article shouldn’t be long simply because someone believes a 2,500-word page will rank better than a 1,000-word page.
Answer the question thoroughly. Then stop.
Some of the same principles we’ve followed for years become even more important:
- Write genuinely useful information.
- Answer specific questions clearly.
- Avoid keyword stuffing.
- Organize pages so they’re easy to understand.
- Use images when they genuinely support the content.
- Internally link to relevant information elsewhere on your website.
- Reference trustworthy external sources when appropriate.
I like to think about AI crawlers less like robots and more like people looking for information.
If someone landed on the page looking for an answer, would the page actually help them?
Supporting Information Matters
Internal links and reference links are particularly important because information doesn’t exist in isolation.
If you make a claim, what supports it? If you describe a service, is there another page explaining that service in greater detail? Does the company have credentials, reviews, affiliations, case studies, or third-party references that reinforce what it says about itself?
AI systems have access to far more than a single page on your website.
That leads to another major change marketers need to understand.
Your Entire Online Presence Is Becoming Your SEO
Brand authority has always mattered, but I believe it becomes even more important with AI-driven discovery.
AI can consider signals from across a company’s online presence rather than simply looking at one optimized webpage.
That can include:
- Google and third-party reviews
- Social media activity
- Backlinks from reputable websites
- Industry affiliations
- Professional credentials and certifications
- Third-party articles and mentions
- Business directory information
- Your own website content
If your website says you’re great but the rest of the Internet knows almost nothing about you, that’s a very different signal from a company whose reputation is supported across multiple independent sources.
Omnichannel marketing has never been more important.
AEO and GEO Aren’t Secret New Forms of SEO
One of the biggest misconceptions I see surrounding AI search is the idea that the entire SEO game has suddenly changed.
I don’t think it has.
There isn’t a secret formula for getting recommended by AI, just as there has never really been a sustainable secret formula for ranking well in Google.
The terminology may change, and the technology certainly will, but the underlying objective remains remarkably familiar: create useful information for people and establish legitimate reasons for search engines to trust it.
If you’re looking for a roadmap, I still recommend Google’s documentation on creating helpful, reliable, people-first content.
That’s the page I would live and die by before buying into the latest AI optimization trick.
What Happens When Search Results Disappear?
Here’s my prediction: within a matter of years, traditional search results may matter far less than they do today.
Instead of receiving ten blue links and deciding which result to investigate, users may increasingly receive personalized recommendations assembled for them by AI.
And those recommendations could be different for every person.
Think about how you would answer a friend who asked:
“Do you know a good landscaper?”
You probably wouldn’t respond with a list of ten landscaping companies ranked according to keyword density.
You’d ask questions.
Are they local? Do you need regular lawn maintenance or a major landscaping project? Do you need trees removed? What’s your budget? Do they have good references?
The “best landscaper” isn’t necessarily one universal company.
It’s the company that’s the best fit for that particular person.
AI Search Could Make Results Deeply Personal
Personalization is where I think this gets particularly interesting.
Imagine asking your AI assistant a simple question:
“Where should we eat tonight?”
The answer may eventually have very little to do with which restaurant currently ranks first for “restaurants near me.”
Your AI might know that you love pizza. It may know roughly what you like to spend, where you’re located, places you’ve enjoyed before, and what kind of restaurant you’re usually interested in.
It could respond:
“I know you love pizza. There’s a new pizza place nearby that I think you’d like.”
That restaurant might not rank highly yet. It might have fewer reviews than a competitor that’s been around for ten years.
But if the available information indicates that it’s a particularly good match for you, the AI may have a reason to recommend it anyway.
Optimize for Answers, Not Algorithms
The best advice I can give businesses preparing for AI search is surprisingly simple:
Think about your content the way you would explain something to a friend who asked you a question.
Be specific. Be useful. Provide evidence. Build a legitimate reputation. Make your expertise easy to understand. Connect related information together.
Don’t write 3,000 words when 800 will answer the question better. Don’t repeat the same keyword twenty times because someone told you that’s SEO. And don’t chase every new acronym promising a shortcut into AI recommendations.
AI may completely transform the way people experience search.
But if AI’s job is ultimately to find the most useful answer for an individual person, then creating genuinely useful information may become more important than ever.
