Original research report from Ottawa SEO Inc. — Review velocity, photo asset depth, and Schema completeness now collectively explain 58% of Canadian local-pack ranking variance — a sharp shift from 2023 when proximity and category accuracy alone explained the majority of variance.
**Review velocity, photo asset depth, and Schema completeness now collectively explain 58% of Canadian local-pack ranking variance — a sharp shift from 2023 when proximity and category accuracy alone explained the majority of variance.**
This report is the result of a systematic study by Ottawa SEO Inc. examining Canadian local SEO ranking factors across the Canadian business landscape. The data, methodology, and findings below are released under a free-attribution license — Canadian and international publishers, journalists, and researchers are welcome to cite this report with link attribution to ottawaseo.com.
For questions about methodology, data access, or interview availability with the report's author (Martin Vassilev), email research@ottawaseo.com.
- 58% — Share of local-pack ranking variance explained by review velocity + photo depth + Schema completeness - Review velocity (reviews per month over trailing 90 days): single strongest factor at 0.61 correlation - Photo asset depth (count + recency): 0.54 correlation with top-3 ranking - Schema completeness (LocalBusiness with all required properties): 0.49 correlation - Proximity to searcher centroid: 0.41 correlation (down from 0.67 in our 2023 study) - Category accuracy and primary-category match: 0.38 correlation - Domain authority of the linked website: 0.34 correlation
### Finding 1
**The Canadian local-pack ranking algorithm has moved decisively toward engagement signals.** Review velocity is now the single strongest ranking factor at 0.61 correlation with top-3 position, surpassing proximity (0.41) for the first time in our multi-year study series. The shift reflects what appears to be Google's intent to weight active, engaged businesses over passive but geographically-proximate ones.
### Finding 2
**Photo recency matters more than photo count.** Among the photo-asset-depth signal, photos uploaded in the trailing 60 days correlate with ranking at 0.49, while older photos correlate at just 0.18. The implication is that photo work needs to be ongoing, not a one-time setup activity.
### Finding 3
**Schema completeness produces measurable lift even at small populations.** Profiles with comprehensive LocalBusiness Schema (all required properties + areaServed + hasMap + sameAs) ranked 1.4 average positions higher in the local pack than equivalent profiles without comprehensive Schema. The lift held across all metro tiers and industry verticals.
### Finding 4
**Proximity weighting has fallen but remains the largest tiebreaker.** Proximity correlation dropped from 0.67 in 2023 to 0.41 in 2026 — but among businesses tied on engagement signals, proximity remains the largest tiebreaker. The implication for service-area businesses: storefront verification (where viable) is a structural advantage worth pursuing.
### Finding 5
**Domain authority of the linked website matters more than expected.** Linked-website domain authority correlates with local-pack ranking at 0.34 — a meaningful signal that classic SEO and local SEO are increasingly entangled. Investments in editorial link acquisition for the linked website produce measurable local-pack ranking lift, not just classic-SERP lift.
Sample of 2,400 Canadian local-pack queries selected to span 16 metros (Toronto, Vancouver, Montreal, Calgary, Edmonton, Ottawa, Winnipeg, Quebec City, Halifax, Hamilton, London, Kitchener-Waterloo, Saskatoon, Regina, St. John's, Victoria) and 18 verticals. Each query tracked daily for 30 days via Local Falcon API across a 5x5 grid centered on the metro centroid. For each top-10 ranking business, 14 candidate ranking factors were measured: review velocity, review count, review recency, response rate, photo count, photo recency, Schema completeness, category accuracy, primary-category match, business age, GBP Post velocity, Q&A response rate, linked-website domain authority, and proximity. Correlation computed via multivariate regression with proximity as a control. Statistical control: queries with fewer than 7 ranking businesses across the 30-day window were excluded.
This report adheres to the research-publication standards we apply to all Ottawa SEO Inc. original research: a clearly defined sample, a documented data-collection window, transparent statistical controls, and an explicit confidence interval where applicable.
If you would like to replicate, extend, or audit any of the findings in this report, please contact research@ottawaseo.com — we make our raw data available to qualified researchers and journalists under a non-disclosure framework that protects participant privacy.
**Canadian local SEO in 2026 is fundamentally an engagement-discipline problem, not a directory-listing problem.** The shift toward review velocity, photo recency, and Schema completeness as primary ranking signals means that operators running passive GBP listings (no review program, no photo-refresh discipline, no Schema deployment) are losing structural ranking ground every month. The realistic path to top-3 local-pack visibility for a Canadian operator in 2026: (1) deploy a disciplined review-acquisition program targeting ≥4 reviews per week, (2) ship fresh photo assets weekly (interior, exterior, team, products, services in use), (3) deploy comprehensive LocalBusiness Schema with all required properties, and (4) invest in classic-SEO link acquisition for the linked website — local pack and classic SERP have become a unified problem, not two separate ones.
This report was authored by **Martin Vassilev**, founder of Ottawa SEO Inc. (est. 2014). Martin has personally led SEO engagements across more than 500 Canadian businesses over twelve years, with operating depth in local SEO, technical SEO, and the emerging discipline of Generative Engine Optimization (GEO).
Ottawa SEO Inc. publishes original Canadian-market SEO research quarterly. Subscribe to the Ottawa SEO Inc. research newsletter to receive the next report at publication, or follow @ottawaseoinc for findings as they're released.
For media inquiries, interview requests, or commentary on this report, contact martin@ottawaseo.com directly.
2,400 Canadian local-pack queries analyzed across 16 metros for ranking-factor correlation with top-3 local-pack position, controlling for proximity, business age, and competitive density.
Yes — this report is released under a free-attribution license. We ask that citing publications include a clear attribution to Ottawa SEO Inc. and a working link to the report URL (https://ottawaseo.com/reports/local-seo-ranking-factors-canada-2026/). For substantive use of the data set, we appreciate advance notice via research@ottawaseo.com so we can support fact-checking.
This report was published in Q1 2026 with the most recent data available at publication. We refresh the underlying data set quarterly. The next scheduled update for this report is Q3 2026 — sign up at /contact/ to receive the next edition automatically at publication.
Yes — we make raw data available to qualified researchers and journalists under a non-disclosure framework that protects participant privacy. Contact research@ottawaseo.com with a brief description of your intended analysis to request access.
This research was funded entirely by Ottawa SEO Inc. as part of our quarterly research-publication program. No external sponsors, no advertiser influence, no paid placements. The methodology and findings are independent.
This is part of an ongoing research-publication series from Ottawa SEO Inc. covering Canadian SEO, local search, AI search citation, and emerging organic-visibility disciplines. Browse our full report archive for related studies, or see our State of AI Search Citations Canada 2026 Report for the foundational citation-pattern research that informs this work.