How AI Engines Recommend Marketing Agencies in Ontario

How do AI engines actually pick which Ontario agency to name?

They name whichever agency a trusted third party already named. When you ask ChatGPT, Claude, Google Gemini, or Perplexity "who is the best marketing agency in Hamilton, Ontario," the engine does not consult an internal agency leaderboard. It runs a retrieval step, pulls a small set of web sources it trusts, and writes its answer from whatever those sources say. So the real question is never "what does the engine think of my agency." It is "which sources does this engine read, and is my agency named inside them." Change the sources and you change the recommendation.

That distinction is the one most agency content gets wrong. The dominant page shape for this keyword is a self-published "Top 10 GEO agencies" listicle, which is exactly the kind of self-assertion an engine discounts. We took the opposite approach: instead of asserting who is best, we measured who the engines actually cite, then turned the same lens on ourselves. The data below names real domains, real chamber lists, and real Ontario agencies, and it is honest about where Formative Digital does and does not yet appear.

That bottom line inverts a decade of agency marketing. The signals an Ontario agency spent years building, backlink profiles and keyword positions, have the weakest direct pull on whether an AI engine recommends it. The signals that decide the answer are list placement, awards, and reviews, precisely the assets most agencies under-invest in for themselves while selling them to clients.

What did 1,732 real AI citations across 9 Ontario cities reveal?

They revealed that the sources AI engines cite for "best business" queries are overwhelmingly directories, economic-development sites, and chamber lists, not the businesses' own websites. We ran the scrape through DataForSEO's LLM endpoints against the live engines in May 2026: 1,732 individual citations across nine Ontario cities including Hamilton, Kitchener, Waterloo, Guelph, Cambridge, Burlington, Oakville, and Toronto, with Brantford in scope as our home market. The prompt was a plain local-intent question of the form "who are the top businesses in {city}, Ontario," logged for every source each engine cited and every business it named.

This kind of first-party evidence is the whole point, and it sits on solid ground. Kevin Indig's early 2026 Growth Memo citation research established two things we lean on directly: AI engines cite real, crawlable sources rather than inventing them, and 44.2% of citations come from the first 30% of a page, his front-loading rule. Our scrape extends that work into the Ontario long tail, where a single chamber list or review page can decide whether an agency is named at all.

The single most-cited real publisher for Ontario business recommendations is a Business Improvement Area website, and an agency's own "we are the best" homepage does not crack the list at all. The cited artefact is almost always somebody else writing about you, or a list you are placed on. The codygroup.ca pattern just below shows why even a real-estate blog can outrank a polished agency site.

The structural reason a chamber list beats your homepage

The Greater KW Chamber of Commerce small-business award page and the Cambridge Chamber of Commerce business directory both surfaced in our scrape because they are independent, locally trusted, and they name names. There is a deeper reason behind that preference than corroboration alone. The peer-reviewed paper that coined the term Generative Engine Optimization, by Pranjal Aggarwal and co-authors at Princeton University, Georgia Tech, the Allen Institute for AI, and IIT Delhi (arXiv:2311.09735), showed that what lifts a source inside a generative answer is content-level signal: citing sources, adding statistics, adding quotations. Targeted optimization of that kind raised a source's visibility by up to 40% on their position-adjusted word-count metric. A chamber roundup or a Canadian Choice Award page is dense with exactly those signals. A homepage that says "Ontario's leading agency" carries none of them.

Do ChatGPT, Perplexity, and Gemini recommend the same agencies?

No, and the gap is far wider than the industry's comfortable story admits. Each engine grounds its answer in a different layer of the web, so the agencies that surface diverge sharply. In our broader cross-vertical dataset, 83.7% of every source cited appeared in only one engine's answers, leaving barely 16% shared. The agency-specific cut shows the same split: ChatGPT leaned on google.com and named individual shops directly, Claude reached for curated directories like codygroup.ca and Yelp, Gemini routed almost everything through Vertex AI Search, and Perplexity spread across chamber pages, F6S startup lists, and "businesses for sale" aggregators.

An independent synthesis backs the scale of this. The Digital Bloom's 2025 AI Citation and LLM Visibility Report, drawn from more than 680 million AI citations, found that only 11% of domains are cited by both ChatGPT and Perplexity. ChatGPT favours encyclopedic and structured sources, Perplexity leans on Reddit and recency, and Google AI Overviews prioritize cross-platform entity authority. The practical reading is blunt: there is no single "AI ranking" for agencies to chase. There are four overlapping but mostly separate retrieval systems wearing similar chat interfaces, and an agency optimized for one is largely invisible in the other three.

The Gemini line is the one to study. It cited vertexaisearch.cloud.google.com 40 times and almost nothing else by name, so Gemini's true sourcing is the hardest of the four to inspect and the easiest to misread. We unpack that divergence in depth, with the full cross-vertical numbers, in our companion analysis of the 83.7% citation gap between the major AI engines.

Lists, reviews and awards move the needle; backlinks barely register

Lists, reviews, and awards move the needle; backlinks and domain authority barely register in the answer itself. Consistent with the Onely hierarchy above, the businesses that surfaced in our Ontario data were the ones placed on a chamber roundup, carrying a Canadian Choice Award, or holding a visible Yelp and Google review presence. The ones that did not surface were, in many cases, the ones with the most conventionally "optimized" websites.

It is worth naming the irony directly, because honesty is itself a trust signal here. A representative ranking page for this keyword, First Page Sage's "Top GEO Agencies of 2026," scores agencies on weighted criteria: notable clients at 30%, third-party review score at 25%, leadership experience at 20%, median employee tenure at 15%, and media references at 10%. Those are very nearly the same signals the AI engines reward, list-worthy clients, reviews, recognizable authority. The ranking pages are unintentionally describing the AI ranking model while presenting themselves as the authority. The honest move is to treat their criteria as a to-do list of real assets to earn, not a leaderboard to buy into.

How would you vet an Ontario AI-search agency, Formative Digital included?

You vet one by asking for evidence, not adjectives, and the same questions should be turned on us. The category is young, the claims are loud, and the honest test of an AI search marketing agency in Ontario is whether it can show real citation data rather than promise a "first page" it does not control. The checklist below is narrower than the general contract-and-conduct warnings in our pieces on spotting SEO agency red flags and avoiding lock-in contracts: those cover how any agency behaves, while this one tests a single technical claim, can the agency prove a business actually surfaces inside AI engines. Here is what we would hand a prospect and then invite them to point straight back at Formative Digital.

So, can you pay an AI engine to recommend an agency? No. There is no paid placement that buys a recommendation inside ChatGPT, Claude, Gemini, or Perplexity for a "best agency" query. What an honest agency sells is the work of earning the third-party signals, list placements, reviews, awards, structured data, that make a citation likely. That is also why the Results Guarantee we offer is framed as continuation of work, not a promised ranking: if an existing domain shows no measurable organic search results after twelve months of work with us, we keep working at no further cost until results land. We can guarantee effort and method. Nobody can guarantee an engine's sentence.

What Formative Digital is doing to surface in AI answers, in public

We are running the same method on ourselves that we run for clients, and we will tell you plainly where it stands. Formative Digital is a compact unit in Brantford, Ontario, and like most agencies under three years old we do not yet dominate the AI agency answer for the larger Ontario cities. That is the honest baseline. What we are building, deliberately and in public through this research library, is presence in each engine's preferred source layer at once, not a single self-published "we are the best" page the engines structurally discount.

The proof that the underlying method works does not come from our own agency listing; it comes from client outcomes, with the usual honest caveat that results depend on industry, competition, and existing digital presence. Our retail client Mattress Miracle in Brantford grew from roughly 1,000 to over 82,400 monthly organic visits (SEMrush, April 2026) through sustained structured-content work, and the full breakdown lives in the Mattress Miracle organic-growth case. As their owner Brad put it, "In 40 years of advertising I've never seen anything like this. It's a completely new business." That is one industry and one starting point. An agency category behaves differently, which is exactly why we measure before we promise.

How do you measure whether AI engines are recommending you?

You measure it the same way we ran this research: across multiple engines, with real prompts, sampled more than once. Because the engines diverge from each other and each one wobbles from run to run, a useful programme tracks your presence in ChatGPT, Claude, Gemini, and Perplexity as four separate scores rather than one blended "AI rank," and it watches the source layers, not only the answers.

The source layer is the leading indicator; the citation is the lagging one. If your agency newly appears on a chamber roundup or earns a Canadian Choice Award, expect movement in the engines that read those layers before you see it elsewhere. Tools such as Semrush and Profound help, but the discipline matters more than the dashboard: real prompts, all four engines, repeated sampling, and attention to which third-party sources changed. We describe the full approach in our guide to diagnosing AI visibility across engines, and the broader market context in our roundup of 2026 AI search statistics.

The size of the prize is not small, and it is concentrated. Innovation, Science and Economic Development Canada reported that as of December 2024 Ontario was home to 410,154 small employer businesses, the largest concentration in the country, with small businesses making up 98.2% of all employer businesses nationally. Every one of them is a potential buyer asking an engine for a recommendation, and the agencies competing for those finite citation slots are mostly still optimizing for a Google ranking the engines barely read. AI visibility and Google rank are correlated, but they are not the same asset, and we walk the gap between them in our breakdown of GEO versus SEO.