AEO Is SEO: What AI Search Means for Your Website

Is Answer Engine Optimization really different from SEO? Discover how AI search works, what it means for Hamilton businesses, and why SEO fundamentals still matter.

John Janisse October 16, 2026

An AI search bar saying AEO and a traditional search bar saying SEO

Why optimizing for AI search isn’t as different from traditional SEO as you might think.

There is a new acronym making the rounds in digital marketing: AEO, or Answer Engine Optimization. You’ll also hear GEO (Generative Engine Optimization), AI SEO, and AI Visibility.

The terminology suggests that businesses need an entirely new approach to being found online. New tools, new tactics, new services, and perhaps a new marketing budget.

But do we really need to start over?

At The Dunham Group, we believe the fundamentals haven’t changed nearly as much as the conversation around them suggests.

AEO is SEO. The way people receive search results is changing, but the need to be found, understood, and trusted hasn’t gone away.

From a list of links to a conversational answer

Think about how you might search for a local service today.

Imagine you’re a homeowner in Hamilton looking for a plumber. You open Google and type:

“Emergency plumber in Hamilton, Ontario.”

Google presents a search results page. You might see a map with local businesses, reviews, contact information, paid advertisements, and links to company websites. You compare your options, visit a few sites, and decide who to call.

Now imagine asking an AI tool the same question:

“I live in Hamilton and have a leaking pipe. Can you recommend a reliable plumber who offers emergency service and explain what I should look for before hiring one?”

Instead of a traditional list of results, the AI may give you a conversational response. It might identify local plumbing companies, summarize their advertised services, compare publicly available reviews, and suggest questions to ask before booking.

The experience feels different. You have effectively asked a question and received a research assistant’s response rather than a page of search results.

But where did that information come from?

Depending on the AI tool and the query, it may come from search indexes, business listings, company websites, reviews, and other online sources. The system retrieves relevant information and uses its language model to turn that information into an answer.

Google itself describes its AI search features as using existing Search systems to find relevant information and then generating responses with links to supporting websites.

In other words, the search hasn’t disappeared. The results are being presented differently.

A Hamilton example: what changes and what doesn’t?

Let’s consider another local example.

Suppose you’re looking for a web design company in Hamilton.

A traditional Google search for “web design Hamilton Ontario” might return a mixture of local agencies, directories, map listings, advertisements, and individual company websites.

You can review the results yourself. You might compare portfolios, read testimonials, look at services, and determine which company seems like the right fit.

If you ask an AI tool, “Which web design companies in Hamilton work with small businesses and offer ongoing website support?”, the response may look very different.

Rather than showing you ten blue links, the AI might present a shortlist of companies, describe their services, and explain what distinguishes one from another. It may link directly to their websites or cite the sources used in its response.

Notice what hasn’t changed.

For a company to be considered, the AI needs information about what it does, where it operates, whom it serves, and whether it offers ongoing support. That information might be found on the company’s website, in a business profile, in reviews, or elsewhere online.

If a company’s website clearly explains its services, location, expertise, and support options, it gives search systems useful information to work with.

If the website simply says it provides “innovative digital solutions” without explaining what those solutions are, the AI has less useful information to draw upon.

The same distinction matters in traditional search. A search engine needs to understand what a page is about before it can determine whether that page is relevant to a query.

The AI may do more of the comparison and summarization for the user, but it still needs useful information to do that job well.

These are illustrative examples of how the two experiences can differ, not a claim that any particular company will appear in a specific Google or AI result.

AI can interpret information, but it doesn’t know everything

There is an important qualification to this argument.

Today’s AI systems do more than copy and paste text from websites. They can summarize information from multiple sources, compare claims, identify relationships, and generate conclusions that aren’t written verbatim on any single page.

That is a meaningful difference from traditional search.

However, an AI-generated answer is not automatically a verified answer.

An AI system might find outdated information, overlook a relevant source, misinterpret a claim, or confidently produce an inaccurate statement. Its ability to answer a question about a business is influenced by the information available to it and the methods it uses to retrieve and evaluate that information.

For example, a Hamilton contractor might have an excellent reputation and years of experience, but if its website provides little information about its services, qualifications, or service area, an AI system may struggle to represent the business accurately.

Meanwhile, another contractor may have a much clearer online presence, making it easier for search systems to identify what it does.

That doesn’t necessarily make the second contractor better. It makes the second contractor easier to understand from the available information.

Online visibility and real-world quality are not the same thing. Your website helps connect the two, but it cannot guarantee that an AI system will make the right judgment.

This is why clear, accurate information remains so important.

So what does AEO actually require?

Much of the advice surrounding Answer Engine Optimization sounds familiar to anyone who has worked in SEO.

Make sure your website can be crawled and indexed. Write useful content. Organize your pages logically. Explain your services clearly. Build credibility through relevant expertise and evidence.

These are longstanding SEO principles.

For a Hamilton business, that might mean:

Explain what makes your business relevant. Clearly describe your services, who you serve, where you operate, and what distinguishes your approach. A contractor, for example, should make it easy to understand the types of projects it takes on and the areas it serves.
Answer the questions customers actually ask. Address common concerns about pricing, timelines, processes, requirements, and service options. A construction company could explain what affects project costs or what customers should expect before work begins.
Demonstrate your expertise. Use detailed case studies, project examples, original insights, and genuine customer experiences to support your claims. Specific evidence gives people and AI systems more useful information than generic marketing statements.
Maintain consistent business information. Your website, business profiles, and other reputable sources should accurately represent your name, location, services, and contact details.
Keep your technical foundations sound. Important content needs to be accessible to search systems, and your website should have a logical structure that helps people and machines understand it.

None of this is exclusive to AEO.

These practices help people understand your business, help search engines determine relevance, and give AI systems better information to retrieve and use.

There may be additional considerations for particular AI platforms, shopping systems, or agents that interact directly with websites. But those developments build on the need for accurate, accessible, well-organized information. They don’t make the fundamentals irrelevant.None of this is exclusive to AEO.

These practices help people understand your business, help search engines determine relevance, and give AI systems better information to retrieve and use.

The real change is in how people discover you

Although AEO and SEO share many foundations, the change in user behaviour deserves attention.

In traditional search, a person might click several results, visit multiple websites, and compare the information.

With AI search, that person may receive a synthesized answer before visiting any website at all.

This creates a different kind of visibility challenge.

A business might be mentioned in an AI-generated answer even when the user doesn’t click through to its website. Conversely, a business may rank well for a traditional search term but not be included in a particular AI response.

That means measuring visibility is becoming more complicated. Rankings and website traffic still matter, but they may not tell the whole story. Businesses should also pay attention to whether AI systems accurately describe their services, cite their content, or recommend them for relevant queries.

And there is an important reason not to abandon traditional SEO: AI search systems can still direct people to websites. When someone wants to verify a claim, explore a portfolio, read a detailed case study, or contact a company, the website remains a critical part of the process.

The objective is not simply to appear in an AI answer. It’s to make sure that when someone is looking for what your business offers, they can discover you, understand your value, and take the next step.

What about the future of AI agents?

The next stage may bring more significant changes.

AI agents are increasingly being developed to do more than answer questions. Depending on their capabilities and permissions, they may compare products, interact with websites, fill out forms, make bookings, or complete transactions.

Imagine a future in which a Hamilton business owner asks an agent to find a local IT provider that offers cybersecurity services, supports a particular software platform, and can respond to urgent issues.

The agent might need to compare service descriptions, geographic coverage, technical capabilities, pricing, and availability before producing a shortlist or taking action.

That introduces new requirements for businesses. Their websites and systems may need to expose information in ways that agents can reliably interpret and interact with.

But even in that scenario, the underlying challenge remains recognizable: the business needs to be discoverable, its capabilities need to be clear, and its information needs to be accurate.

The technology used to find and evaluate that information may become more sophisticated. The importance of providing good information will not disappear.

Don’t chase the acronym. Get the fundamentals right.

New terminology can make a familiar discipline sound like something entirely different. Sometimes a new term reflects a genuine shift in technology; sometimes it creates the impression that businesses need to buy a completely new service to keep up.

AEO is worth understanding. AI search is changing how people ask questions, discover businesses, and make decisions. Businesses should monitor these changes and adapt their digital strategies accordingly.

But that doesn’t mean throwing away the principles that have made websites discoverable in the first place.

At The Dunham Group, we see AI visibility as an extension of the work we already do: helping businesses communicate clearly, structure their websites effectively, demonstrate their expertise, and connect with the people looking for their services.

The tools are changing. The terminology is changing. The search experience is changing.

But if your website isn’t clear, useful, accessible, and relevant, adding “AEO” to your marketing strategy won’t fix the problem.

Start with the fundamentals. Make your website the best possible source of information about your business. Then build on that foundation as search technology evolves.

Because, at its core, AEO is SEO.

And good SEO has always been about helping the right people find the right information.

The Dunham Group is a Hamilton, Ontario-based digital and IT partner helping organizations improve their websites, digital marketing, integrations, and online visibility. We help businesses build a strong digital foundation for both traditional search and the evolving world of AI-powered discovery.