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What is AI search optimization? A plain-English guide for Toronto businesses

AI assistants now answer with one recommendation instead of ten links. Here is what AI search optimization means for a Toronto business.

By AI Search Toronto··5 min read
A small-business owner working in a sunlit pottery studio

Key takeaways

  • AI assistants like ChatGPT, Gemini, Perplexity and Google’s AI Overviews often give one written answer instead of a list of links, so being named in that answer matters.
  • AI search optimization (also called GEO or AEO) is the work of making your business easy for those assistants to find, understand and trust.
  • It builds on good SEO rather than replacing it. Clear pages, accurate listings and genuine reviews still do most of the heavy lifting.
  • No one can guarantee a mention. What you can control is how clear, consistent and well-sourced your information is.

From ten blue links to one answer

For about twenty years, finding a local business online worked the same way. You typed “physiotherapist near me” into Google, got a map with a few pins and a list of websites, and clicked around until something felt right.

More people now ask the question differently. They open ChatGPT, or try AI Mode in Google, or ask Gemini on their phone, and type something like: “Who’s a good physio in Leslieville that does sports injuries and offers direct billing?”

What comes back is not a list of ten websites. It’s a short written answer, often naming a few businesses, with a sentence or two about why each one fits. Sometimes it links to the sources it read.

For a business owner, that changes the question from “Am I on page one?” to “Am I in the answer at all?”

So what is AI search optimization?

AI search optimization is the work of making your business easy for AI assistants to find, understand and feel confident recommending. You’ll also see it called generative engine optimization (GEO) or answer engine optimization (AEO). The labels differ. The idea is the same.

In practice, it comes down to three things:

  • Findable: an assistant can locate accurate information about you when it searches the web.
  • Understandable: your pages and listings say clearly what you do, where you are, who you serve and what sets you apart.
  • Credible: the other sources an assistant reads, such as review sites, directories, local media and community discussions, say roughly the same things about you.

None of this involves tricking a machine. It’s mostly about removing confusion, so that when an assistant goes looking for “a family law firm in North York that offers free consultations,” it can tell quickly that you fit.

How it overlaps with SEO

Many AI assistants search the web when they answer a question, and the pages they pull from are often pages that also do well in regular search. A clear, fast, well-organized website helps with both. So do accurate listings, genuine reviews and mentions on sites people already trust.

The shared ground:

  • A website with a clear page for each main service, written in plain language.
  • The same business name, address and phone number everywhere you’re listed.
  • Structured data (schema markup) that labels your business details in a machine-readable way. Our guide to schema markup for local businesses covers this.
  • A complete, current Google Business Profile. Our Business Profile checklist walks through it.

If your SEO basics are shaky, fixing them is usually the first step in AI search work too.

Where it differs

Answers, not rankings

Traditional SEO aims for a position on a results page. AI search is about whether you’re named inside a written answer, and how you’re described. There’s no “position three.” You’re either in the paragraph or you’re not, and the words used about you matter.

The wider web matters more

An assistant summarizing “the best brunch spots in the Annex” may draw on a mix of sources: your website, review platforms, a BlogTO roundup, a Toronto Life list, a thread on r/askTO. What those sources say about you shapes the answer. We look at this more closely in the sources AI assistants tend to lean on in Toronto.

Specific details get picked up

People ask assistants longer, more specific questions than they type into a search box: “wheelchair accessible,” “open Sundays,” “speaks Tamil,” “installs heat pumps in Etobicoke.” If those details are written clearly somewhere an assistant can read them, you have a better chance of matching those questions. If they only live in a PDF, an assistant has no way of knowing.

Answers vary

Ask the same question twice and you may get different businesses, so checking your visibility is more like taking a sample. We explain why in how ChatGPT decides which Toronto businesses to recommend.

What AI search optimization is not

Because the field is new, it attracts noise. A few things it is not:

  • A guarantee. No one controls what ChatGPT or Google’s AI says. Anyone promising you’ll “rank number one in ChatGPT” is promising something they can’t deliver.
  • A secret formula. The companies behind these assistants don’t publish exactly how answers are put together. Sound work is based on what you can observe, like which sources get cited.
  • Keyword stuffing. Pages crammed with “best plumber Toronto” read badly to people and don’t help an assistant understand who you actually are.
  • Fake reviews or planted posts. Beyond the ethical problem, platforms actively look for this, and getting caught can do lasting damage.
  • A substitute for good work. A clinic with consistently happy patients has an advantage no optimization can manufacture.

A simple example

Say you run a small physio clinic in Leslieville. Your website has one page that says “We offer a range of services.” Your Google Business Profile lists an old phone number. Your Yelp page has last year’s hours. Several reviews praise your work with runners, but your site never mentions running injuries.

When someone asks an assistant for “a physio in east Toronto who’s good with running injuries,” a lot is working against you. Nothing on your own site says the thing they asked about, and the conflicting details make it harder to tell that all those listings are the same clinic.

Fixing that doesn’t take anything exotic: a dedicated page about running injuries, matching contact details everywhere, accurate hours, and a profile that describes your specialties. That’s AI search optimization in its most practical form.

Try this: Open ChatGPT, Gemini or Google’s AI Mode and ask the question a customer would ask, in their words, including your neighbourhood. Note who gets named and which sources appear. Then ask again tomorrow. It’s the quickest way to see where you stand.

Where to start

If you’re wondering whether this is worth your time, start small:

  1. Ask a few assistants the questions your customers ask, and write down what comes back.
  2. Check that your name, address, phone number and hours match on your website, Google, Yelp and any industry directories.
  3. Make sure each main service has its own clear page on your site.
  4. Read your reviews and notice the words customers use. Those are often the words people use when they ask an assistant.

If you’d like a second set of eyes, our AI visibility audits do this systematically across ChatGPT, Google, Gemini, Perplexity and Copilot, and end with a prioritized list of fixes. Not sure you need one? You can book a free 20-minute call and we’ll talk it through.

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