AI SEO vs. Google SEO: What’s Actually Different—and What Still Matters

There was a time when talking about SEO meant talking almost exclusively about Google. You built a website, created content, worked on your keywords, earned links, optimized your pages and tried to convince Google that your business deserved to appear when somebody searched for what you do. That world hasn’t disappeared. Not even close. What has changed is that Google is no longer the only place where people discover information about a business. People are asking ChatGPT questions. They are using Google’s AI-powered search experiences. They are searching through other AI platforms. They are asking much longer and more conversational questions instead of typing two or three keywords into a search box. And instead of always being given a list of websites and deciding which one to click, they are increasingly being given an answer first and then deciding which businesses, websites and sources are worth investigating.

That is where terms like AI SEO, GEO and generative engine optimization have entered the conversation. But I think the industry has made this considerably more complicated than it needs to be. AI SEO isn’t really the replacement for Google SEO. And Google SEO isn’t some outdated discipline that businesses can abandon because artificial intelligence has arrived. They are different approaches to a much larger problem: how does a business become discoverable, understandable and trustworthy when somebody is looking for what it offers? The technology answering the question may change. The underlying challenge doesn’t. In fact, AI search may make many of the fundamentals of SEO more important rather than less important.

Google Search and AI Search Are Not the Same Thing

There is an obvious difference between typing “Denver web design company” into Google and asking an AI system something like, “Who are some good web design companies in Denver for a small business?” The first is traditionally a search problem. Google needs to interpret the query, determine what the searcher is looking for, identify relevant pages and rank the results. There may be local results, organic listings, advertisements, maps, images, videos and other search features competing for the user’s attention. The second is more of a recommendation and synthesis problem. The system may need to understand the question, identify businesses that appear relevant, evaluate information from multiple sources and construct an answer that makes sense in context.

That distinction matters. Google generally gives you a collection of results and asks you to make the final decision. An AI system may attempt to make more of that decision for you. I’ve seen this difference firsthand while testing search results between traditional Google searches and AI systems. Sometimes Google is better because I want to explore several sources. Other times an AI answer is dramatically more useful because it understands what I’m actually asking and gives me a direct response rather than making me do the research myself. We wrote about this difference after testing the two approaches ourselves, and the distinction was surprisingly obvious. The Difference Between ChatGPT Results and Google Results.

That doesn’t mean one is going to eliminate the other. It means the definition of “search” is getting wider.

So What Exactly Is AI SEO?

This is where I think some of the terminology has gotten a little carried away. AI SEO is often described as if there is now an entirely separate secret discipline that businesses need to master in order to appear in ChatGPT, Gemini, Perplexity or other AI systems. There are certainly differences worth understanding. AI systems may interpret content differently. They may synthesize information from multiple sources. They may look for supporting evidence rather than simply returning a page. They may use brand mentions, reviews, third-party information and other sources when forming an answer.

But I don’t think the answer is to throw traditional SEO in the trash and start over. A business with a technically sound website, strong topical coverage, useful content, genuine expertise, quality links, positive reviews, clear branding and a solid reputation already has many of the ingredients that can help it become understandable and discoverable in AI-powered search. You don’t necessarily need to build an entirely new digital presence for AI. You need to build a better digital presence in the first place.

This is one of the reasons I think GEO is frequently misunderstood. In our own work, we’re seeing that many businesses approach GEO looking for a shortcut around the harder parts of SEO. They want to know what wording will make ChatGPT recommend them, what tags they should add, or what special optimization will cause an AI system to suddenly recognize their company. Unfortunately, it doesn’t really work that way. As I’ve written elsewhere, the idea that GEO is somehow easier than SEO misses the fact that both are heavily connected to credibility, authority, relevance and trust. Why Businesses Think GEO Is Easier Than It Actually Is.

Google Wants to Understand Your Website

Google has become remarkably sophisticated at understanding what websites are about. That doesn’t mean keywords don’t matter. They do. Language matters because search engines need to understand the relationship between a query and the information on a page. But modern SEO is much larger than putting a keyword into a title. Google is trying to determine what a page is about, whether it satisfies the searcher’s intent, whether the information is useful, whether the website appears credible and how that page fits into the larger website.

This is why I’ve become increasingly convinced that businesses should stop thinking about SEO as a collection of isolated tricks. Your homepage matters. Your service pages matter. Your supporting articles matter. Your internal links matter. Your technical structure matters. Your external links and mentions matter. Your business reputation matters. All of those things contribute to the larger picture of what your business is, what you know and whether your website deserves visibility. I’ve written more about this in How Google Actually Ranks Websites because there simply isn’t one magic formula that explains why one website ranks above another. Search is a collection of systems evaluating relevance, quality, authority, structure and other signals together.

AI search has a surprisingly similar problem. It also needs to figure out what you are.

AI Has a Different Question to Answer

Here’s where things get interesting. Google may be trying to determine which page should rank for a search. An AI system may be trying to determine which information should be included in an answer. Those are not exactly the same thing.

Imagine someone asks, “What are the best web design companies in Denver for a company that needs a custom website and ongoing SEO?” That isn’t really a keyword. It’s a question containing location, service type, business size, intent and preferences. An AI system has to interpret all of that. It needs to understand what “best” might mean. It needs to identify relevant companies. It needs enough information about those companies to distinguish one from another. It may need to look at websites, reviews, third-party references and other available information.

This is why simply stuffing a website with the words “best Denver web design company” isn’t going to solve the problem. The AI needs context. It needs evidence. It needs a reason to believe that the business actually is what it claims to be. And that is where things get very interesting for SEO.

The Website Is Only Part of the Story

For a long time, SEO conversations focused heavily on what was happening on the website itself. That remains important, but the modern search environment is increasingly about the business as a whole. Think about your company from the perspective of a machine that knows nothing about you. Your website says one thing. Your Google Business Profile says another. Your reviews describe your services. A local publication mentions your company. Another website links to you. Your social profiles identify your brand. A professional organization lists your business. Customers search for your company by name. Your own content demonstrates expertise in a particular subject.

Eventually, all of those pieces begin to form a recognizable picture. That picture is much more powerful than a page containing a perfectly optimized keyword. This is one of the reasons I’ve been spending more time talking about authority, evidence and trust rather than simply rankings. Information is now incredibly cheap to produce. What is becoming more valuable is evidence that the information deserves to be believed. The Difference Between Information and Evidence.

AI systems have a particularly difficult problem here because they are operating on an internet increasingly filled with automatically generated information. There may be thousands of pages saying the same thing. Which one should the system trust?

This Is Where Authority Becomes Important

Authority has always mattered in SEO, although the word is sometimes thrown around without much explanation. To me, authority is relatively simple. If I tell you that I am an expert at something, that’s a claim. If I’ve been doing it for twenty years, have hundreds of clients, have a substantial body of work, publish useful information about the subject, receive references from other websites, have customers leaving genuine reviews and have an established business presence, there is considerably more evidence supporting that claim. That’s authority. And it is difficult to manufacture overnight.

This is why I don’t think the rise of AI makes SEO less important. In some ways it makes the fundamental purpose of SEO more obvious. You aren’t simply trying to convince a search engine to put your page somewhere. You are building a body of evidence that your business is relevant, legitimate, knowledgeable and worthy of attention. Google can use that evidence. AI systems can use that evidence. Customers can use that evidence. That’s a much better long-term strategy than trying to figure out the latest trick.

Content Still Matters — But More Content Isn’t Necessarily Better

This is another area where AI has created some confusion. Because AI can generate content extremely quickly, businesses suddenly have the ability to publish hundreds or even thousands of pages. That doesn’t mean they should. The internet already has enough generic articles explaining what SEO is. It doesn’t need another 1,500-word article saying essentially the same thing as the other 10,000 articles. What it needs is information that actually adds something: experience, examples, opinions, original research, real observations, specific explanations and evidence.

That’s where human experience becomes extremely valuable. We’ve used AI extensively ourselves, and I think it is an incredible tool. It can accelerate research, help organize ideas, explore possibilities and make the process of creating content dramatically more efficient. But AI doesn’t magically give a business experience it doesn’t have. If a company has twenty years of experience building websites, there is enormous value in bringing that experience into the content. If a company has worked through hundreds of SEO campaigns, there is value in explaining what actually happened. If you’ve watched Google change repeatedly over the years, that experience is worth something. The machine can help you communicate that experience. It shouldn’t have to invent it.

Our recent work around AI-generated website content made this point particularly clear. AI was extremely useful for transforming a relatively small amount of real-world information into substantial website content, but the important part was keeping the finished material anchored to what the company actually does and what could be supported by reality. ChatGPT Website Content From Almost Nothing.

That’s a much healthier way to use AI.

Internal Linking Becomes More Important, Not Less

There is another part of traditional SEO that I think becomes increasingly interesting in an AI-driven search environment: internal linking. A website shouldn’t be a collection of unrelated pages. If your business specializes in SEO, you should have a coherent body of information around SEO. If you specialize in web design, your site should demonstrate that expertise through related pages, articles, examples and supporting information.

The connections between those pieces matter. A page about technical SEO should naturally connect to related discussions about site structure, page speed and indexing. An article about local SEO should connect to Google Business Profile optimization, local rankings and local search behavior. A page about AI search should connect to content about GEO, authority, AI recommendations and the changing nature of discovery. This isn’t simply about helping a visitor find another article. It helps establish the relationship between pieces of information.

That’s why I consider Internal Linking: The Most Overlooked SEO Lever one of the more important pieces in this larger conversation. A strong internal structure helps search engines understand your site, but it also helps establish topical relationships throughout the website. The basic idea is surprisingly simple: don’t just publish information. Connect it.

Topical Authority Is Bigger Than a Keyword

This leads directly into topical authority. Suppose you have one article about SEO. Now suppose you have thirty genuinely useful pieces covering technical SEO, local SEO, keyword research, Google rankings, internal linking, content strategy, SEO audits, Google Business Profiles, search intent, backlinks and ranking volatility. The second website is demonstrating something different. It isn’t simply targeting thirty keywords. It is demonstrating that SEO is actually an area of expertise.

That distinction matters. Google can use those relationships to better understand the site. A human visitor can use them to learn more. An AI system can potentially use them to understand the business’s expertise. This is why the strategy we’re taking at Big Orange Planet has increasingly moved toward clusters of connected content rather than simply producing isolated blog posts because a keyword tool told us there was search volume. The objective isn’t to publish more. It’s to build a body of knowledge that makes sense.

Reviews and Reputation Matter Too

There’s another piece of the puzzle that gets overlooked when people talk about AI SEO: reputation. If an AI system is asked to recommend a local business, it isn’t unreasonable to assume that information about that business’s reputation can be useful. Reviews are one example. Google Business Profile information is another. Third-party mentions can matter. Links from legitimate websites can matter. Brand searches can matter. The consistency of your business information can matter.

None of this means there is a secret formula where getting exactly fifty reviews causes ChatGPT to recommend you. Search doesn’t work that cleanly. But if two businesses are otherwise similar and one has a strong, established reputation while the other barely exists outside its own website, it’s reasonable to expect the first business to have a stronger overall digital footprint. We’ve seen the relationship between reviews and search visibility become particularly interesting as search experiences become more recommendation-oriented. Reviews aren’t simply something customers read anymore. They are part of the broader evidence surrounding a local business. Reviews and Rankings: How Much Do Reviews Really Affect SEO?

Again, the theme is evidence.

AI SEO Doesn’t Mean Forgetting Google

This is probably the most important takeaway from the entire article. If you’re a business owner and you’re thinking, “Should I stop doing Google SEO and start doing AI SEO instead?” my answer would be no. Absolutely not.

Google remains enormously important. People still search Google. People still use Google Maps. People still compare websites. People still click organic results. People still use search engines to find local businesses, products, services and answers. At the same time, AI search is becoming another way people discover information. So the smarter strategy isn’t choosing one or the other. It’s building a digital presence that can survive both.

That means a technically sound website, useful content, clear service pages, strong internal linking, a coherent topical structure, quality backlinks, a credible brand, positive reviews, accurate business information, demonstrated expertise and actual experience behind the claims you make. That is good SEO. It’s also a pretty good foundation for AI visibility.

The Difference Is Really in the Delivery

If I had to reduce the difference between Google SEO and AI SEO to one idea, this would be it: Google generally helps people find information. AI increasingly helps people consume and act on information.

Google may give you ten possibilities. AI may give you three. Google may send you to a page. AI may summarize that page. Google may show you a business. AI may explain why it thinks that business is appropriate. Those experiences are different. But the information being evaluated still has to come from somewhere.

That somewhere is the web.

And if your business isn’t represented clearly on the web, neither Google nor an AI system has much to work with.

The Future of SEO Isn’t Really About AI SEO

I suspect we’re going to spend the next several years inventing new names for increasingly similar activities. AI SEO. GEO. AEO. LLM optimization. Generative search optimization. Entity optimization. Maybe there will be another acronym by the time this article has been online for a year.

Some of these concepts are useful. Some will probably disappear. The underlying challenge is much more stable.

Be understandable. Be relevant. Be useful. Be credible. Be visible.

If your website clearly explains what your business does, demonstrates expertise, connects related information, provides evidence, earns references and gives customers a reason to trust you, you’ve already done a substantial amount of the work. The search interface can change. The algorithm can change. The way people phrase questions can change. The technology interpreting those questions can change.

Your job is not to rebuild your entire digital strategy every time that happens. Your job is to build something strong enough that it continues making sense when the technology changes.

That’s the part of SEO I think gets lost in all the noise.

We’re not really optimizing for Google. We’re not really optimizing for ChatGPT. We’re not really optimizing for some future AI platform that hasn’t even been invented yet. We’re building a business that is easy to understand and difficult to ignore.

That’s a much better long-term objective.

And if you get that right, you have a much better chance of being found wherever the next generation of search happens to take people.

At Big Orange Planet, that’s the direction we’re taking. We build websites, content and SEO strategies around the bigger picture—not around whichever acronym happens to be getting attention this month. If you’re trying to figure out where your website fits into Google search, AI search, local search or all three, our Denver SEO services are built around that broader approach.