When someone asks ChatGPT “who are the best web designers in Edmonton,” they are not getting a ranked list of ten blue links. They are getting a synthesized answer from a system that has processed an enormous amount of information and is now making a judgment call about which businesses, people, or resources are credible enough to mention by name.
That judgment call is not random. It follows a logic that is different from Google’s logic in important ways. And most businesses, including most marketing agencies, have not yet figured out what that logic is.
This article explains it as clearly and specifically as I can.
First, understand what ChatGPT actually is
ChatGPT is a large language model trained on a massive corpus of text from the internet, books, academic papers, and other sources. That training happened up to a certain date, after which the model’s base knowledge was fixed. When you ask it a question, it generates a response based on patterns and relationships in that training data.
More recently, ChatGPT has added real-time web search capability. When you ask it about current information, it can pull live search results and synthesize those into its response. So what you are getting when ChatGPT recommends a business is a combination of two things: what the model learned during training, and what it found in a live web search.
Both layers matter. And both layers can be influenced.
The training data layer: what got baked in before you knew it mattered
The businesses that were mentioned most frequently and most authoritatively in online content before ChatGPT’s training cutoff have a built-in advantage. If your business was referenced in industry publications, local news, business directories, review platforms, and other websites during that period, that information got baked into the model’s understanding of who the credible players are in your space.
This is not something you can retroactively fix. But it is also not the only layer that matters, which is the good news.
The real-time search layer: where you can compete right now
When ChatGPT searches the web to answer a question, it is looking for content that directly addresses the query. The same factors that make content appear in Google search results also make it appear in ChatGPT’s real-time searches. But what ChatGPT does with that content is different.
Google ranks pages and shows links. ChatGPT reads pages and synthesizes answers. That distinction changes everything about what kind of content performs well.
A page that ranks number one on Google for a keyword might be optimized perfectly for that keyword but written in a way that is hard to parse into a direct answer. ChatGPT will skip over it in favor of a page that is slightly lower in the search results but written in a way that directly addresses the question.
The five factors ChatGPT actually weighs
1. Direct answer density
ChatGPT favors content that answers questions directly and specifically. A page titled “Edmonton Web Design Services” that lists your services is less useful to ChatGPT than a page that answers “What should I look for in an Edmonton web designer?” with specific, substantive answers. The question-and-answer format, proper headers that match common queries, and content that gets to the point quickly all improve your chances of being cited.
2. Entity clarity
ChatGPT needs to understand clearly what your business is, where it operates, what it does, and who it serves. This is called entity recognition. If your website is vague about any of these things, you are harder for the model to classify and therefore less likely to be recommended. Specific language about your location, your service area, your client type, and your specialty makes you a clearer entity that the model can confidently cite.
3. Corroboration across sources
When the same business or person is mentioned positively across multiple independent sources, that corroboration increases the model’s confidence in recommending them. A business mentioned on its own website, in three Google reviews, in a local business directory, and in one news article is a more credible entity than a business that exists only on its own website. This is why off-site presence matters as much as on-site content.
4. Content authority signals
ChatGPT calibrates the credibility of a source based on signals similar to what Google uses: how long the domain has existed, how many other credible sources link to it, how consistently it has published relevant content over time. A website that has been publishing specific, useful content about a topic for a year is treated as a more authoritative source than a website that published one page two years ago and nothing since.
This is why the MM8 journal exists. Every article published here is a signal to both Google and ChatGPT that this studio is a consistent, authoritative source on AI web design and SEO. The more specific and useful these articles are, the stronger that signal becomes over time.
5. Recency for time-sensitive queries
For queries that imply current relevance, like “best web designers in Edmonton in 2026,” ChatGPT weights recent content more heavily. A page published or updated in 2026 that directly addresses current conditions in the Edmonton web design market is more likely to be cited than a page from 2022 that has not been touched since.
What ChatGPT is specifically NOT doing
Understanding what does not influence ChatGPT recommendations is as important as understanding what does.
It is not counting backlinks the way Google does. A massive backlink profile from irrelevant sources does not help you in AI search the way it used to help in Google search. Quality and relevance of mentions matter far more than quantity.
It is not reading your meta keywords. The old practice of stuffing pages with keyword tags does nothing for AI search. The model reads and understands natural language. Write for humans, not for crawlers.
It is not impressed by domain authority alone. A high domain authority site with vague, generic content about your topic is less useful to ChatGPT than a lower authority site with specific, well-structured content that directly answers the question being asked.
It is not ranking you based on ad spend. There is no pay-to-play mechanism in ChatGPT recommendations. The only currency is genuine authority built through real content and real presence.
The practical implications for Edmonton businesses
If you run a local business in Edmonton and you want ChatGPT to recommend you when someone asks about your service category, here is what the research and logic above translate to in practice:
- Your website needs to clearly state what you do, where you do it, and who you do it for. Not in a paragraph buried on your about page. In your headline, your service descriptions, and your contact information.
- You need content that answers the specific questions your customers ask. Not generic content about your industry. Specific answers to the questions that people in Edmonton actually type into ChatGPT about businesses like yours.
- You need to exist outside your own website. Google Business Profile with real reviews, citations in local directories, mentions in any local media, participation in industry associations. Each of these is a corroborating signal that makes ChatGPT more confident recommending you.
- You need to publish consistently over time. One good article is better than nothing. Twelve good articles published over a year is exponentially better than one. Consistency signals that you are an active, engaged business, not a dormant website.
- You need to use specific, local language. “Edmonton drywall contractor serving Glenora, Westmount, and the River Valley” is more citable than “drywall services available.” The specificity helps ChatGPT match your content to local queries with confidence.
The window that is open right now
Most Edmonton businesses have done none of this. The web design agencies, the trades contractors, the professional service firms, the retailers: the vast majority have websites that are vague about what they do, have no content strategy, and exist only on their own domain.
That means the bar for getting recommended by ChatGPT in local Edmonton searches is genuinely low right now. A business that starts publishing specific, well-structured content about their Edmonton service area, gets their Google Business Profile properly filled out, and maintains a consistent publishing cadence will outcompete businesses that have been around for twenty years but have done nothing to adapt to how search actually works in 2026.
That window will close as awareness grows. The businesses that move now will be the ones that ChatGPT has built confidence in by the time their competitors figure out what changed.