21 patient-intent queries across seven Greater Toronto Area sub-markets. 111 dental practices named, 183 citations captured, 76% of practices cited exactly once.
gta July 27, 2026
Research
AI Visibility Reports
Google now answers many buying questions directly, above the results, in a generated summary that names businesses and cites a short list of sources. For a large share of prospective customers, that summary is the entire research process.
These studies measure who appears in those answers, by industry and by metro. Every figure comes from search results captured on a stated date, with the method published so the numbers can be tested rather than taken on trust.
Full methodFull dataNo download gate
See your own position
These studies show the market. We will run the same method against your domain and show you where you sit in it.
You're all set!
Your AI Visibility Report for your site is being prepared. We'll email it to you shortly.
What is an AI visibility report?
It is a count of which businesses a generative answer engine names and cites for the questions customers ask before buying. Rather than estimating reach, it captures the answers themselves — the generated text and every source cited — for a fixed set of queries, in named locations, at a stated moment.
- Real captured answers, not modelled estimates or projections
- City-level location targeting, because generated answers differ by where the searcher is
- Every cited source recorded, then classified by hand
- De-duplicated per answer, so one answer citing a business twice counts once
- A stated crawl date, because a snapshot without one is not a measurement
- Published method, so anyone can re-run it and disagree with us
Markets
Where We Have Measured
Each market is a set of studies run through one instrument across that metro's sub-markets, so the verticals within it can be compared — and, because the instrument does not change between metros, so can the markets. A metro appears here only once its studies are published; we would rather run a city properly than give it a placeholder page.
| Market | Coverage | |
|---|---|---|
| Greater Toronto Area | 5 studies · 7 sub-markets | View the market → |
| Ottawa | 5 studies · 7 sub-markets | View the market → |
| the Calgary region | 5 studies · 7 sub-markets | View the market → |
| Metro Vancouver | 5 studies · 7 sub-markets | View the market → |
4 metros measured, each across 7 sub-markets and the same five verticals. If you want your metro covered, say so on an audit request — the queries have to be built around genuine buying intent in that market, so it is worth hearing which questions actually precede a purchase where you are.
Published Studies
Every Published Study
Every study across every market, in one list. Each is a full HTML report — leaderboard, cross-market analysis, source breakdown, method and limitations. Open a row to read it, or take the PDF. Nothing is held back for the download.
21 client-intent cost queries across seven Greater Toronto Area sub-markets and four practice areas. 87 law firms named, 241 citations captured — and the second most-cited personal injury firm is headquartered 250km away.
gta July 30, 2026
Physiotherapy
Who Google's AI Recommends for Physiotherapy in the GTA
21 patient-intent queries across seven Greater Toronto Area sub-markets and three patient questions. 66 clinics named, 184 citations captured, and only 3 clinics cited across all three questions.
gta July 31, 2026
21 client-intent cost queries across seven Greater Toronto Area sub-markets and three services. 46 firms named, 224 citations captured — and five firms answer for the entire metro.
gta July 31, 2026
Cosmetic surgery
Who Google's AI Recommends for Cosmetic Surgery in the GTA
21 patient-intent cost queries across seven Greater Toronto Area sub-markets and three procedures. Just 42 clinic websites account for every citation, and 37% of citations point at Google listings rather than sites.
gta July 31, 2026
21 patient-intent queries across seven Ottawa sub-markets. 52 practices named, 232 citations captured — and 15 Greater Toronto Area clinics cited as the answer to Ottawa patients' questions.
ottawa August 2, 2026
21 client-intent cost queries across seven Ottawa sub-markets and three practice areas. 65 firms named, and 54% of firm citations go to firms also cited in Toronto's answers.
ottawa August 2, 2026
Physiotherapy
Who Google's AI Recommends for Physiotherapy in Ottawa
21 patient-intent queries across seven Ottawa sub-markets and three patient questions. 39 clinics named — and on OHIP coverage, Toronto clinics take more than twice the citations Ottawa clinics do.
ottawa August 2, 2026
21 client-intent fee queries across seven Ottawa sub-markets and three services. Only 21 Ottawa firms cited city-wide, and Reddit is quoted more often than every firm but one.
ottawa August 2, 2026
Cosmetic surgery
Who Google's AI Recommends for Cosmetic Surgery in Ottawa
21 patient-intent cost queries across seven Ottawa sub-markets and three procedures. Just 21 clinics account for every website citation, and ten of them hold 87% of them.
ottawa August 2, 2026
21 patient-intent queries across seven Calgary-region sub-markets and three patient questions. 79 practices named, 63% of them cited exactly once — the most open dental market we have measured.
calgary August 2, 2026
21 client-intent fee queries across seven Calgary-region sub-markets and three practice areas. 45 firms named — and one realtor team, across three domains, is cited more often than any of them.
calgary August 2, 2026
Physiotherapy
Who Google's AI Recommends for Physiotherapy in Calgary
21 patient-intent queries across seven Calgary-region sub-markets and three patient questions. 38 clinics named, only 2% of citations from Google listings, and one Edmonton clinic reaching all seven sub-markets.
calgary August 2, 2026
21 client-intent fee queries across seven Calgary-region sub-markets and three services. 27 firms named, and not one citation in the entire study came from a Google Business Profile.
calgary August 2, 2026
Cosmetic surgery
Who Google's AI Recommends for Cosmetic Surgery in Calgary
21 patient-intent cost queries across seven Calgary-region sub-markets and three procedures. Only 13 local clinics cited — and more citations go to clinics outside the region than inside it.
calgary August 2, 2026
21 patient-intent queries across seven Metro Vancouver sub-markets. 70 practices named — and Google returned no AI Overview at all for the Canadian Dental Care Plan question in four of seven sub-markets.
vancouver August 2, 2026
21 client-intent fee queries across seven Metro Vancouver sub-markets and three practice areas. 41 firms named — and a directory that publishes no address of its own out-cites every one of them.
vancouver August 2, 2026
21 patient-intent queries across seven Metro Vancouver sub-markets and three patient questions. 80 clinics named and 67% of citations held locally — the strongest local position in the series.
vancouver August 2, 2026
21 client-intent fee queries across seven Metro Vancouver sub-markets and three services. 32 firms named, only 26% of citations reaching one — and the most-cited firm in the answers is in Calgary.
vancouver August 2, 2026
Cosmetic surgery
Who Google's AI Recommends for Cosmetic Surgery in Vancouver
21 patient-intent cost queries across seven Metro Vancouver sub-markets and three procedures. Only 16 local clinics cited, three of them holding 53% of local citations, and 41% of citations pointing at Google listings.
vancouver August 2, 2026
How We Measure
Each study starts from the questions people actually ask immediately before choosing a provider — cost, coverage, comparison and eligibility questions, not brand searches. Those queries are run through Google with city-level location targeting across the sub-markets that make up the metro, without personalisation.
For every query we capture the complete search result page, including the AI Overview block, its generated text and every source it cites. Citations are de-duplicated per answer. Each cited domain is then reviewed by hand and classified — a business's own website, or a directory, portal, insurer, trade publication or forum.
What comes out is a count, not a score. We do not weight, model or adjust the figures, and where we could not verify something we say so rather than estimating it.
What These Reports Cannot Tell You
A citation is not a customer. These studies measure presence in generated answers — not clicks, calls, enquiries or revenue. Presence is a precondition for being chosen, not evidence of having been chosen, and we will not present it as the latter.
They are also single points in time. Generated answers are produced fresh per query and vary between runs, so exact citation lists differ on re-runs. Structural findings — how concentrated a market is, which source types dominate, whether citations cross city boundaries — are far more stable than any individual business's count.
And they cover Google AI Overviews only. That surface reaches the largest audience of any AI answer surface, with no login or app required, which is why we start there. It is not the whole picture.
Questions About These Reports
Because a report locked behind a form cannot be read by the systems it describes. We argue that own-site pages stating real, specific figures are what get cited in generated answers, and it would be incoherent to make that argument from behind a download gate. The market study is open. The analysis specific to your own domain is the thing we produce individually.
They were not selected. Every business named appears because it was cited by Google's AI Overview for one of the queries measured, on the date stated. We did not choose a shortlist, and inclusion is not an endorsement — the studies are counts of what a public system returned, nothing more.
An AI Overview is rendered inside a public search results page, so it can be retrieved directly, for a specific city, at a specific moment. ChatGPT, Perplexity, Gemini and Copilot do not publish their answers anywhere; measuring them requires running a fixed prompt set against each model repeatedly over time. That is a different instrument, and we report it separately rather than blending two methods into one number.
Because they are different things. Every figure, table and caveat is on the page itself, readable without giving us anything — that is deliberate, and it is the argument these reports make. The PDF is a packaged copy for sending to a partner or reading offline, and we ask who is taking it so we know who is paying attention. If you would rather not, read the page; nothing is held back.
Yes, and that is the point of publishing the method alongside them. Every figure comes from search results captured on the date stated. Anyone can run the same queries with the same location targeting and compare. Generated answers vary between runs, so exact citation lists will differ — the structural findings are what hold.
We are extending the same method to further verticals and metros. If you want your industry and city measured, tell us — the queries have to be built around genuine buying intent in that market, so it is worth hearing which questions actually precede a purchase in yours.
See Where Your Business Sits In the Answers
We will run the same method against your domain: which AI answers name you, which name your competitors instead, and the specific pages that would change it. No cost, no obligation.
Services and industry programmes from Enginely.ai.
Download the PDF
The full report, formatted for sharing.
Downloading…