City market report A research page, not an office page
Toronto 7 local businesses scannedAn AI search readiness study by MoxSEO, a remote digital marketing agency for Toronto businesses
Looking for a digital marketing agency in Toronto? MoxSEO is an SEO and AI search team that works with Toronto businesses remotely; we have no office there. Before advising anyone, we scanned 7 Toronto business websites on 9 checks. Their median score was 73/100, joint 3rd of 20 cities. 2 of 7 passed "author and dates declared".
Toronto shares the 73 median with five other cities, but its mean is far lower because of a weak tail: awkwardmedia.ca scored 18 and websites.ca 41. Only 3 of 7 used lists or tables and 2 of 7 cited sources, both the lowest rates in the study. brandvm.com passed all three provenance checks.
Toronto sample, by row
Published, CC BY 4.0Share of checks passedNot scanned
- 73thrillxdesign.com
- 82pixelcarve.com
- 77brandvm.com
- 41websites.ca
- 50canadianwebdesigns.com
- 73eggsmedia.com
- 18awkwardmedia.ca
Seven Toronto websites, scored row by row
Every business in the Toronto sample, with its score out of 100 and the result of each of the nine checks. These are diagnostic observations from one homepage scan, not endorsements or a ranking of the businesses.
| Website | Score / 100 | Answer | Q-heads | One H1 | Lists | 3+ H2 | Paras | Author | Cites | Schema | Opening words | JSON-LD blocks | AI crawlers in robots.txt |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| thrillxdesign.com | Direct answer near top: Fail | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Pass | Cites external sources: Fail | Structured data present: Pass | 138 | 3 | None named | |
| pixelcarve.com | Direct answer near top: Pass | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Fail | Structured data present: Pass | 46 | 5 | None named | |
| brandvm.com | Direct answer near top: Pass | Question-form headings: Fail | Exactly one H1: Pass | Lists or tables: Fail | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Pass | Cites external sources: Pass | Structured data present: Pass | 57 | 2 | None named | |
| websites.ca | Direct answer near top: Fail | Question-form headings: Fail | Exactly one H1: Pass | Lists or tables: Fail | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Fail | Structured data present: Pass | 92 | 1 | None named | |
| canadianwebdesigns.com | Direct answer near top: Fail | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Fail | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Fail | Structured data present: Pass | 14 | 4 | None named | |
| eggsmedia.com | Direct answer near top: Fail | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Pass | Structured data present: Pass | 13 | 1 | None named | |
| awkwardmedia.ca | Direct answer near top: Fail | Question-form headings: Fail | Exactly one H1: Pass | Lists or tables: Fail | Three or more H2 sections: Fail | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Fail | Structured data present: Fail | 18 | 0 | None named |
- Score range
- From 18 (awkwardmedia.ca) to 82 (pixelcarve.com). Median 73, above the pooled 148-site median of 68, joint 3rd of 20 cities.
- Most common signal
- Exactly one H1; Paragraph length: 7 of 7 sites.
- Least common signal
- Direct answer near top; Author and dates declared; Cites external sources: 2 of 7 sites, against 41.2; 16.2; 62.8% pooled.
- Answer and provenance
- Direct opening answers on 2 of 7 sites, a named author and date on 2, citations on 2, structured data on 6. A concise answer helps retrieval; named responsibility and sources make claims checkable.
- Crawler handling
- None of the 7 Toronto sites blocked a named AI crawler in robots.txt. None named an AI agent at all, so their robots rules are silent on AI crawlers.
- Strongest site
- Highest score: 82, by pixelcarve.com.
Four audit stages, nine scored checks
The audit order has four steps. Under each sit the checks the study scored on every homepage, with the pooled 20-city pass rate beside the Toronto count. With 7 sites, one business moves the Toronto figure by 14 points, so read the counts, not just the percentages.
| Signal | What it means | 20-city pooled result | Toronto |
|---|---|---|---|
Step 1Confirm accessRobots rules, response status, canonical output, rendering, internal links and indexation for the page types tied to real demand. | |||
| AI crawler access | Whether robots.txt lets AI crawlers fetch the site. The study parsed rules for 14 AI crawlers. Recorded, not scored. | 9 of 148 block one or more22 name AI agents; 14 of those block none | 0 of 7 block |
Step 2Test answersWhether priority pages answer the customer question early, use descriptive sections and expose facts that can be extracted accurately. | |||
| Direct answer near top | An opening paragraph of 25 to 90 words that answers the question the page exists for. | 2 of 7 (29%) | |
| Question-form headings | Headings phrased the way people ask, so a section maps to a query. | 4 of 7 (57%) | |
| Exactly one H1 | One main heading, so the page's subject is unambiguous. | 7 of 7 (100%) | |
| Lists or tables | Facts set out in structures a machine can lift without rewriting. | 3 of 7 (43%) | |
| Three or more H2 sections | Enough descriptive sections for each to answer something on its own. | 6 of 7 (86%) | |
| Paragraph length | Paragraphs kept short enough to read, and quote, as one unit. | 7 of 7 (100%) | |
Step 3Verify provenanceBusiness identity, authors or reviewers, dates, citations, qualifications, policies and local evidence, in proportion to the risk of the claim. | |||
| Author and dates declared | A named author and a published or updated date: who stands behind the page, and when. | 2 of 7 (29%) | |
| Cites external sources | Links out to the sources a claim rests on. | 2 of 7 (29%) | |
| Structured data present | Schema.org markup that states the business, page and facts in machine-readable form. | 6 of 7 (86%) | |
Step 4Measure actionsQualified discovery connected to calls, enquiries, appointments, applications, demos or visits, without presenting attribution as perfect. | |||
| Qualified actions | Whether search visits turn into the step a customer can actually complete. | Not part of the homepage scanMeasured per site, in an audit | Not scanned |
What 7 sites can show, and what they can't
The scan records visible technical and editorial signals from 7 Toronto business websites at one point in time. It shows recurring implementation gaps and good questions for an audit. It cannot prove market-wide prevalence, customer preference, future AI citations or the commercial impact of any single signal.
- What this page shows
- Every Toronto row from the published file, its nine check results and how the city compares with the other 19.
- What it doesn't claim
- That these 7 sites represent every Toronto business, or that a higher score means more traffic or citations.
- How sites were picked
- From Google Places rather than at random: 6 to 9 sites per city, 148 in all, across 7 countries.
- Still useful for
- Auditing your own site. Recommendations come from its rendered pages, business facts, journeys and analytics, not from a city average.
One file, 7 of its rows
1 dot = 1 websitePooled CSV, 148 rows20 cities, published, CC BY 4.0
Toronto, 7 rowsInside the published CSV
Download the pooled file: city-market-study-2026-07-27.csv. How evidence is handled: methodology. All findings: the 20-city study.
What to fix first in Toronto
Start with the checks Toronto sites failed most often, then test your own pages before assuming the pattern applies to them. Begin with the service, location and conversion pages behind your most valuable decisions, and ignore the city comparison wherever your own evidence points to a bigger problem.
Put a name and a date on the work
2 of 7 Toronto homepages passed "author and dates declared" (29%), against 16.2% across all 148. Only thrillxdesign.com and brandvm.com did. It is the cheapest provenance signal to add: a named, accountable person and a visible published or updated date.
29%of Toronto sites passOpen each priority page with the answer
2 of 7 Toronto homepages passed "direct answer near top" (29%), against 41.2% across all 148. Only pixelcarve.com and brandvm.com did. Put a 25 to 90 word answer first, then the detail that supports it.
29%of Toronto sites passLink to the sources your claims rest on
2 of 7 Toronto homepages passed "cites external sources" (29%), against 62.8% across all 148. Only brandvm.com and eggsmedia.com did. An outbound link to the primary source lets a reader, or a model, check the claim.
29%of Toronto sites passCheck what crawlers actually receive
No Toronto site in the sample blocked an AI crawler in robots.txt, but robots rules are only the first gate. Verify the rendered page after scripts, templates, consent tools and plugins have run, not what the editor shows.
Connect discovery to a step customers can take
Calls, enquiries, appointments, applications, demos or visits. Measure qualified actions, and say where attribution is uncertain.
Then match the page to the customer journey
The Toronto market includes finance, technology, professional services, healthcare, property, and diverse local commerce. Each needs different proof on the page.
Name the regulated entity, the products, fees, risks and who reviewed each page and when. Keep rates and calculators current, and say where figures come from.
- Regulated entity named
- Fees and risks stated
- Reviewed and dated pages
A technical evaluator and a buyer should be able to verify the same offer. Connect product, use-case, integration, documentation, security, pricing and sales pages.
- Integration and docs pages
- Security and pricing in reach
- One path to a demo
Connect expertise, named specialists, industries served, evidence and office information, and qualify enquiries, instead of relying on generic capability claims.
- Named specialists
- Evidence by industry
- Qualified enquiry form
Make services, providers, locations, clinical review, update dates, sources, privacy boundaries and appointment routes visible, without overstating medical outcomes.
- Named clinical reviewers
- Dated, sourced pages
- A clear appointment route
Clarify the legal entity, service areas, inventory or project status, location evidence, reviews, fees, and the exact action a prospective customer can take.
- Legal entity and service area
- Project status and fees
- One named next step
Twenty cities, Toronto in context
The pooled study is the comparison point, not a league table. Each city figure comes from 6 to 9 sites picked from Google Places, so read it as the shape of a market. Toronto's nearest comparison, New York, had a median of 75 against Toronto's 73.
- Toronto median score, against 68 across all 148 sites
- 73/100
- Joint 3rd by median score among the 20 cities in the pooled file (6 share this median)
- 3 of 20
- Toronto homepages declaring author and dates, against 16.2% pooled
- 29%
- ChennaiIndia43% author and dates, 57% direct answer near top
- BengaluruIndia38% author and dates, 38% direct answer near top
- KolkataIndia33% author and dates, 67% direct answer near top
- AhmedabadIndia33% author and dates, 56% direct answer near top
- SingaporeSingapore29% author and dates, 29% direct answer near top
- TorontoCanada29% author and dates, 29% direct answer near top
- GurgaonIndia22% author and dates, 22% direct answer near top
- LondonUK17% author and dates, 50% direct answer near top
- MumbaiIndia17% author and dates, 33% direct answer near top
- New YorkUSA12% author and dates, 62% direct answer near top
- DelhiIndia12% author and dates, 50% direct answer near top
- JaipurIndia12% author and dates, 38% direct answer near top
- PuneIndia11% author and dates, 44% direct answer near top
- SydneyAustralia11% author and dates, 44% direct answer near top
- NoidaIndia0% author and dates, 43% direct answer near top
- DubaiUAE0% author and dates, 38% direct answer near top
- BhopalIndia0% author and dates, 33% direct answer near top
- ChandigarhIndia0% author and dates, 33% direct answer near top
- IndoreIndia0% author and dates, 33% direct answer near top
- LucknowIndia0% author and dates, 25% direct answer near top
- HyderabadIndiaScanned separately. No values published, so no position.n = 13
Source: city-market AI readiness study, July 2026. Six cities recorded 0% on attribution. Per-city samples are small; the study calls these figures indicative. City names link to each city's page.
Digital marketing for Toronto businesses, scoped to one site
MoxSEO works with Toronto businesses remotely. We have no office or address in Toronto and do not pretend to. Every engagement starts from evidence on your own site, the way this page starts from evidence on 7 local ones.
- Local SEOBusiness information, location pages, reviews and conversion paths
- AI SEO and GEOExtractable answers, provenance and AI crawler access
- Technical SEORendering, canonicals, indexation and internal links
- International SEOCountry targeting, hreflang and market-by-market pages
- Digital marketingContent marketing and the wider programme around search
- Local SEO packagesPublished starting points for local programmes
Test the same signals free: AI Answer Extractability CheckerAI Crawler Access CheckerNAP Consistency Checker
Questions about Toronto
MoxSEO is an SEO, AI search and digital marketing team that works remotely with businesses across Toronto. We have no office or address in Toronto. This page is our research on 7 local business websites, which we use as starting evidence in a Toronto audit, alongside the evidence on your own site.
The 7 Toronto homepages we scanned had a median score of 73 out of 100, above the pooled median of 68 and joint 3rd of 20 cities by median. Scores ran from 18 (awkwardmedia.ca) to 82 (pixelcarve.com). The sample is small and picked from Google Places, so treat it as indicative, not a census.
"Author and dates declared": 2 of 7 passed, against 16.2% across all 148 sites. "Direct answer near top": 2 of 7 passed, against 41.2% across all 148 sites. Both are fixable in a template or a content edit, which is why they lead our Toronto audit order.
None of the 7 Toronto sites blocked a named AI crawler in robots.txt. None named an AI agent at all, so their robots rules are silent on AI crawlers. Across all 148 sites, 9 blocked at least one of the 14 AI crawlers the study parsed.
Toronto: median 73, 29% named an author and date, 29% opened with a direct answer (7 sites). New York: median 75, 12% named an author and date, 62% opened with a direct answer (8 sites). Both samples are small, so a difference of one site moves the percentages a lot.
Local SEO, AI SEO and GEO, technical SEO, international SEO, content and the wider digital marketing programme, all delivered remotely. Work starts with an audit of your own pages; in Toronto the first fixes are usually "author and dates declared" and "direct answer near top", the two checks local sites failed most.
The other 20 city reports
All researchFigures per city: share of sampled homepages declaring author and dates, and opening with a direct answer. Every page is a research report on that market, not an office. How evidence is handled: methodology.
Test your site,
not the city average.
Bring your site, your goals and your constraints. In a free 30-minute call, Sakshi Kumari or Ashish Khan, the specialists who run MoxSEO, check access, answers and provenance on your priority pages and tell you the most useful first move.
A call is not an engagement. We never guarantee rankings, traffic, revenue or AI citations.