Back in early 2025, I started noticing something in the way people talk about finding help online. That was around the time AI apps stopped being a niche tool and became something normal to have installed on your phone or computer, and I started seeing the same pattern show up in conversations with clients across completely different industries. I want to walk you through it with an example, because I think it explains this shift better than a definition would.
The Family Law Example
Say someone’s relationship isn’t working. A few years ago, the moment they decided to look for legal help, they’d open Google and type something like “Edmonton divorce lawyer.” That search told Google exactly one thing: this person wants a divorce lawyer, in Edmonton, right now.
That’s not really how it works anymore, at least not for a lot of people at the start.
Today, that same person might spend weeks or months having long, back and forth conversations with ChatGPT or another AI tool. Not about lawyers. About their relationship. How to fix things. Whether the problems are actually fixable. What’s fair when it comes to their kids, or the house, or years of shared finances. They’re working through it the way you’d talk to a smart, patient friend at 11pm, except this “friend” remembers every detail of the conversation.
By the time that person is actually ready to search for a lawyer, the AI they’ve been talking to already knows an enormous amount about their situation. Their relationship history. Their kids’ ages. What property is involved. What they’re worried about. What outcome they actually want. That’s not a generic “divorce lawyer” search anymore, it’s someone arriving with a fully formed, specific, emotionally real situation, and the AI is the thing standing between them and whichever law firm they end up calling.
Family law is just the example that made this click for me. My team and I have been seeing the same pattern show up in healthcare, in trades, in professional services, basically everywhere we work. The shift isn’t industry specific. It’s a change in how people research things before they act.
What’s Actually Changing
For twenty years, search worked on keywords. You typed a short phrase, the engine matched it to pages containing similar words, and you picked from a list of blue links. The whole system was built around narrow, specific queries.
AI conversations don’t work that way. People don’t type “keywords” into ChatGPT, they explain situations. They ask follow up questions. They correct the AI when it misunderstands something. Over the course of that conversation, the AI builds up a genuinely detailed picture of what’s actually going on, not just what service category the person eventually needs.
That means by the time someone asks an AI tool “who should I talk to about this,” the AI isn’t matching a keyword. It’s trying to match a whole situation, a set of specific circumstances, needs, and even personality, to a business that can actually help with that particular version of the problem.
This is the part that matters most for your business: generic no longer works the way it used to. A page that says “we handle divorce cases” doesn’t give an AI much to work with when it’s trying to match a very specific, detailed situation. A page that actually addresses the real, specific things people are worried about, the way a knowledgeable person would explain it, gives the AI something real to point to.
I want to be clear about something before we go further, because it’s easy to hear all this and assume traditional SEO is on its way out. It isn’t. What’s changing is what gets built on top of it.
So What Is AI Search Optimization (GEO)?
AI Search Optimization, sometimes called GEO (Generative Engine Optimization), is the practice of structuring your website and content so that AI tools like ChatGPT, Gemini, Perplexity, and Google’s AI Overviews can actually understand what you do, who you help, and why you’re a credible answer, then recommend you in their responses.
It sounds similar to SEO because it genuinely is built on the same foundation, not just a similar-sounding cousin of it. A real website, real content, a technically healthy site that search engines can actually crawl and index properly. AI Search Optimization doesn’t swap that foundation out for something else. It adds a layer on top of it, aimed at a different goal, and that difference changes how the work actually gets done.
We treat it as one piece of a coordinated digital marketing strategy, working alongside SEO and Local SEO rather than as a separate, disconnected service.
How AI Search Optimization Builds on Traditional SEO
Here’s something that surprises people when we explain it: even when someone is having a long, natural conversation with an AI tool, a lot of what happens behind the scenes still looks a lot like traditional search. Before an AI system can recommend a business, it generally still has to find it first, and finding things on the internet still runs through crawling, indexing, and matching content to topics and keywords. That’s the same infrastructure traditional SEO has always been built on.
So keywords haven’t stopped mattering. They’ve moved to working under the hood instead of being the whole strategy. A page that’s never been indexed properly, or that Google’s crawlers struggle with, isn’t in the running to be picked up by an AI system either, for exactly the same reasons it wouldn’t rank well in a normal search. AI Search Optimization doesn’t get to skip that step. It depends on it. If you’re not sure where your own site’s technical foundation currently stands, an SEO Audit is usually the right place to find out before anything else.
What changes is what happens after your content clears that first bar. A few practical differences we’ve found matter:
Traditional SEO gets you found. AI Search Optimization decides whether you get chosen. Ranking in position three out of ten blue links is still a meaningful win in traditional search, someone might click you anyway. An AI tool is usually picking a small handful of answers, sometimes just one, and explaining why. Once your content is technically discoverable, the competition shifts from “rank higher” to “be specific and credible enough that the AI trusts you as the answer.”
Keyword density mattered more before. Specificity matters more now. Traditional SEO often rewarded pages that repeated a keyword phrase in the right places. AI systems still use those same keywords to find candidate content in the first place, but once they’re choosing what to actually say, they care much more about whether your content genuinely answers the real question someone has, including the parts of the question they didn’t type out loud.
Structure and clarity matter more than volume. AI tools tend to pull from content that’s clearly organized and directly answers real questions, rather than content padded out to hit a word count the way some SEO advice used to recommend.
Trust signals aren’t a separate system, they’re the same one, doing double duty. Real reviews, real case studies, backlinks, a site with genuine authority in its space, these are classic SEO signals. They’re also exactly what helps an AI system decide you’re a credible source worth recommending, not just a page that happens to rank. There isn’t a separate “AI trust score” running alongside your SEO. It’s the same reputation, read by a different kind of reader.
The starting point is a real, specific situation, not a short phrase. This is the family law example again. Traditional SEO optimizes for “divorce lawyer Edmonton.” AI Search Optimization has to account for the fact that the AI already knows this person has two kids, is worried about the house, and isn’t sure if mediation is even possible. Your content needs to speak to that level of specificity to be useful to the AI, on top of still being findable in the first place.
Why This Matters for Your Business Right Now
If you’re a business owner reading this, here’s the honest version of why this matters: the businesses that figure out how to be genuinely specific and helpful, in a way an AI can recognize and trust, are going to start capturing leads that never even touch a traditional search engine. The businesses that keep writing generic “we do X in Edmonton” pages are going to become invisible to a growing slice of research that’s already happening, quietly, in AI conversations you’ll never see.
This isn’t a small, niche channel anymore. It’s the same shift happening across law, healthcare, home services, professional services, and more, because it’s really a change in how people process information before making a decision, not a change specific to any one industry.
The businesses that adapt early aren’t necessarily the biggest ones. They’re the ones willing to write and structure their content around real situations and real questions, instead of short, generic keyword phrases, while still keeping the SEO fundamentals underneath solid. One without the other doesn’t get you very far. A technically strong site with only generic content won’t earn the AI’s trust. A specific, well written page on a site with weak SEO foundations may never get found at all.
What This Actually Looks Like in Practice
We’re not going to pretend there’s a magic switch to flip here. What we’ve found genuinely helps:
- A technically healthy, well-indexed website, the same SEO foundation this has always started with
- Content that addresses specific, real situations, not just service categories
- Clear, well-structured pages that directly answer the questions someone would actually ask, including the ones behind the obvious question
- Real proof: genuine client stories, specific outcomes, actual expertise, not just claims
- Technical groundwork, including strong Local SEO signals, that helps AI systems correctly understand what your business does and where you do it
That first point is doing a lot of work, and it’s worth repeating: none of this replaces solid SEO. It builds directly on top of it. If your website’s technical foundation isn’t solid, AI Search Optimization doesn’t have much to work with either, no matter how well written the content on top of it is.
Where We Go From Here
I’ll be honest, this is still a new enough shift that nobody has it fully figured out, including us. What I can tell you is that we’re seeing it happen in real client conversations, not just reading about it somewhere. That’s exactly why we built AI Search Optimization as its own dedicated service, sitting on top of the SEO work a business has already done or still needs to do, rather than folding it quietly into a general SEO package as an afterthought. It deserves real, deliberate attention on its own, built on a solid SEO foundation, not instead of one.
If you’re curious where your own business currently stands when a customer has one of these AI conversations, that’s exactly the kind of gap we can help you find.
Sayem Shahid is the founder of SelexWeb, an Edmonton-based web design and SEO agency.
