A Toronto housewares retailer with roughly 300 SKUs joined a new marketplace last spring and found the listings wouldn’t go live without a clean shot on a plain background for every item. The photography on hand was good: warm, styled, shot on a walnut table with a linen runner. None of it qualified. The options were a four-figure reshoot or three weeks of someone in the office working through the catalogue by hand.

That scenario has become ordinary, and it points at a shift most merchandising teams have absorbed without ever naming. The problem is rarely that a retailer can’t produce a good photograph. It’s that every product now needs six versions of itself, and the sixth one is due tomorrow.

One Shot, Six Placements

A single kettle has to appear as a website hero, a marketplace thumbnail sitting on white, a 4:5 paid social creative, a 9:16 vertical for reels and stories, an email header cropped to a wide letterbox, and increasingly a tile on a retail media network with its own text safe area. Each has a different aspect ratio, a different amount of breathing room, and different rules about what may sit behind the product.

A photographer delivers the hero. Everything after that is derivative work: recrop, extend the background, remove the styling props that read as clutter at small sizes, lift the shadow so the product doesn’t vanish against a dark interface. None of it is creative work in the sense a photographer would recognize, and all of it takes time.

Multiply by a catalogue and the shape of the problem changes. Two hundred products across six placements is twelve hundred assets, refreshed at least seasonally.

Where the Work Moved Inside

Very few retailers made a formal decision to bring image production in-house. It happened by drift. Someone in merchandising started cleaning up phone photos between other tasks, the results were good enough for a marketplace tile, and the shoot budget went unspent for a quarter.

Pixelcut is an AI photo editor that handles background removal, object removal, upscaling and batch resizing from a phone. That combination made the drift easy, because isolating a product from a cluttered stockroom shot stopped requiring any knowledge of what a layer mask is. The skill floor dropped far enough that a category manager could produce in ten minutes what used to arrive on an invoice as retouching.

Which is mostly good news, and creates a different problem. Work that used to be governed by a brief and executed by one retoucher is now distributed across whoever has an afternoon free.

What a Studio Day Actually Buys You

A studio day buys direction and consistency: one lighting setup, one point of view, one set of decisions applied across everything shot that day. That is genuinely valuable, and it is not what most retailers are short of.

What a studio day does not buy is the long tail. The line extension that arrives in August, three weeks after the shoot. The colourway a supplier added late. The single item reshot because the sample had a scuff on it. Photography books in blocks; merchandising moves continuously, and the gap between those two rhythms is where the work piles up.

The Consistency Problem Nobody Budgets For

Three hundred images edited by four people over eight months produce four visual dialects. One person crops tight, another leaves a generous margin. One keeps a soft contact shadow, another cuts it away entirely. One nudges the white point warm because it looked better on their monitor.

Individually, every image is fine. Viewed as a category page, the grid reads as untidy, and untidy reads as unserious. This is not a talent problem or a tooling problem. It’s a specification problem, and specifications are the thing nobody gets assigned.

The Cost of a Flattering Angle

Editing tools make it trivially easy to push saturation, and colour is where that gets expensive. A sofa that reads charcoal on a phone and mushrooms in a living room comes back, and the return costs more than the sale earned. The temptation to make a product look its best is the same temptation that fills the returns bay.

Marketplace Standards Set the Floor, Not the Ceiling

Marketplace image requirements are minimums: plain background on the main image, product filling a reasonable share of the frame, no promotional text overlaid, resolution high enough to support zoom. Clearing them makes a listing eligible rather than persuasive, and a surprising number of retailers treat compliance as the finish line.

Online Is a Smaller Slice Than the Category Assumes

Here is the number that should shape how any of this gets funded. Retail e-commerce sales came to roughly $5.0 billion in May against $73.7 billion in total retail trade, which works out to 6.8 per cent of the sector, down from 7.0 per cent in April on a seasonally adjusted basis. Those are Statistics Canada’s figures, and the share has been stubbornly flat rather than climbing.

Read carelessly, that argues for spending less on imagery. Read properly, it argues close to the opposite. If online is a small and slow-growing share of trade, then image assets can’t be justified by webstore conversion alone. They have to earn their cost across in-store screens, flyers, wholesale line sheets, retail media placements and marketplace listings, which is precisely the multi-surface demand that broke the old studio model in the first place.

It also punctures a planning assumption that turns up in a lot of decks. Teams that budgeted on the belief that Canadian online share would drift up toward eight or ten per cent have been planning against a number the data has not delivered.

Who Should Own the Image Pipeline

Someone has to own it by name. The workable arrangement in practice is a single owner, usually in merchandising rather than marketing, holding a short written specification: background treatment, crop margin, shadow style, white point reference, and a list of which assets go to a photographer versus which get produced internally.

The specification does not need to be long. It needs to exist somewhere other than in one person’s head, because the person who has been doing the edits will eventually be on vacation during a launch.

The Test Is Whether the Product Arrives Looking the Same

A useful audit is to order three items from your own store and unbox them next to the listing images on a phone. Colour, scale, finish, the way light sits on the surface. Wherever they diverge, that’s the gap between what the imagery promised and what the warehouse shipped, and it shows up later as a return, a review, or a customer who doesn’t come back. Everything else in the pipeline is downstream of getting that one comparison right.

Canadian retailers spent decades perfecting the storefront — the window display, the signage, the location on the right side of the street. In 2026, the first storefront most shoppers see is a search results page. Before a customer walks into a boutique on Ossington, a garden centre in Surrey or a menswear shop in Calgary’s Kensington, the overwhelming odds are that she searched first: for the product, the category or simply “near me.” Local SEO for retailers — the discipline of making a physical store visible in those searches — has quietly become as consequential as lease negotiations, and far less understood. “Retailers still obsess over foot traffic as if it starts at the sidewalk,” says Mike Chrest, founder of MRC SEO Consulting, an Alberta-based firm that works with brick-and-mortar businesses on local search visibility. “It doesn’t anymore. Foot traffic starts on a phone screen, usually within a few kilometres of the store, and the retailers who win that screen are pulling customers away from the ones who ignore it.”

The shift is measurable. Google has reported for years that searches containing “near me” and “where to buy” have grown by triple digits, and that a large majority of smartphone users who search for something nearby visit a store within a day. Industry analyses consistently place the share of retail purchases that are researched online — even when the sale ultimately happens in person — well above three quarters. For a sector fighting for margins against e-commerce giants, that in-person sale increasingly begins, or dies, in local search results.

“Near me” is rewriting retail foot traffic

The economics of retail have always been about location, and in a sense nothing has changed — except that “location” now has a digital coordinate. When a shopper in Mississauga searches “running shoes near me,” Google assembles a hyper-local shortlist in milliseconds: three stores in the Map Pack, their ratings, their hours, whether they’re open right now. The store that appears owns the visit. The store that doesn’t was never considered.

What makes this shift so easy for retail leadership to underestimate is that it is invisible in traditional metrics. A location with declining walk-ins looks like a neighbourhood problem, a merchandising problem or a macro problem. Very often it is a visibility problem: a competitor two blocks away has a complete, active Google Business Profile with 400 recent reviews, and the underperforming store has an unclaimed listing with the wrong holiday hours. Nothing about the physical trade area changed. The digital trade area was conceded.

The pattern repeats across the country, from suburban power centres to urban high streets. Retail Insider’s own coverage of store openings and closures tells the physical story; the parallel story is that every one of those trade areas is also a contested search market, and the contest is won or lost long before a shopper reaches the door.

Research online, buy in store: the funnel nobody owns

Retailers have a name for the dominant shopping pattern of the decade — ROPO, research online, purchase offline — but surprisingly few have operationalized it. The shopper who buys a $300 jacket in person has typically already compared brands, checked availability, read reviews and confirmed the store’s hours online. Every one of those touchpoints is a moment where a retailer can win or lose the visit.

This is where local search differs fundamentally from e-commerce marketing. The goal is not to close a transaction in the browser; it is to remove every reason not to come in. Is the product in stock? Is the store open tonight? Is parking easy? Do other customers vouch for the service? A retailer whose digital presence answers all four questions converts research into a visit. A retailer whose presence answers none of them sends that shopper — often literally — to the competitor pinned beside them on the map.

“The most expensive words in retail search are ‘information unavailable,'” Chrest observes. “When a listing can’t tell a shopper whether the store is open or whether the item is on the shelf, the shopper doesn’t give the store the benefit of the doubt. They tap the next result. We’ve audited retailers spending six figures on brand advertising while their own store listings showed wrong hours in half their locations.”

The Google Business Profile is the digital flagship

For a single-location boutique or a national chain, the Google Business Profile has become the most-viewed piece of digital real estate the company owns — frequently seen by more local shoppers in a month than the brand’s website. It is also, in most organizations, an orphan: too tactical for the marketing department, too digital for store operations.

Treating the profile as a flagship changes the checklist. Categories must be precise, because they determine which searches a store can appear for at all. Photos need to be current and abundant — interiors, product walls, seasonal displays — because shoppers use them the way they once used window displays. Hours must be flawless, including statutory holidays, because a single “closed when listed open” experience produces the angriest class of one-star review. Products and services should be populated, posts kept active, and the questions shoppers ask publicly answered by the brand rather than by strangers guessing.

For multi-location retailers the challenge compounds: fifty stores means fifty profiles, each a local ranking contest in its own trade area. Chains that centralize listings management without local input tend to produce technically consistent but lifeless profiles; chains that leave it to store managers get enthusiasm and chaos. The retailers doing this well run a hybrid — centralized data governance for name, address, phone and hours, local contribution for photos and community texture.

Inventory is the next frontier of local search

The most powerful recent development in retail search is the surfacing of live, store-level inventory. Through local inventory feeds and see-what’s-in-store integrations, Google can now show a shopper not just that a store exists nearby, but that the specific item she wants is on the shelf right now. For categories under siege from e-commerce — electronics, sporting goods, toys, apparel — this is the strongest possible counterpunch: immediacy. No courier can beat “available today, 1.4 kilometres away.”

Canadian adoption remains uneven, which is precisely the opportunity. Retailers that connect their point-of-sale or inventory systems to their listings gain a visibility layer most local competitors simply do not have. The technical lift is real but modest compared with almost any other omnichannel initiative, and the payoff lands on the highest-intent shoppers in the funnel: people actively searching for a product they intend to buy today.

Reviews are the new mystery shopper — and the new merchandiser

Retail has always lived and died by word of mouth; reviews industrialized it. Survey after survey shows the vast majority of consumers read reviews before visiting a local business and trust them at nearly the level of personal recommendations. In ranking terms, review volume, recency and rating all feed a store’s prominence in local results. In conversion terms, the review panel is often the deciding screen a shopper reads before choosing between two stores on the map.

Less appreciated is what reviews do for relevance. When customers repeatedly mention “wide sizes,” “vinyl selection” or “knowledgeable staff,” those phrases become independent evidence of what the store offers — search-relevant language no brand copywriter can plant. Smart retailers mine their reviews for exactly this: the vocabulary customers actually use, which then informs everything from listing descriptions to in-store signage.

The operational playbook is unglamorous discipline: ask at the till or in the post-purchase email, make the link one tap, respond to everything, and never manufacture reviews — Google’s filters have grown ruthless, and a purge can vaporize years of accumulated social proof at the exact moment a retailer needs it.

AI shopping assistants are compressing discovery

Layered over all of this is the fastest-moving change in consumer behaviour: shoppers asking AI systems for recommendations. AI Overviews now top many Canadian retail searches, and a growing cohort of consumers asks assistants directly — “where should I buy a quality winter parka in Ottawa?” — receiving a synthesized shortlist instead of ten blue links.

These systems assemble their answers from the same raw material as traditional local search: business profiles, review corpora, structured data, authoritative mentions in publications. They are conservative by design, favouring retailers with deep, consistent, verifiable digital footprints. The practical takeaway for retail leadership is that AI discovery is not a separate channel requiring a separate strategy; it is a magnifier of the local search fundamentals a retailer either has or lacks. Stores invisible in the Map Pack tend to be invisible to the assistants, too, and for the same reasons.

Local SEO for retailers is not e-commerce SEO

Part of the reason retail organizations under-invest here is a category error: the assumption that search visibility is the e-commerce team’s file. The two disciplines share a search engine and almost nothing else.

E-commerce SEO competes nationally for transactional product queries, wins clicks and closes sales in the browser. Local SEO for retailers competes within a trade area measured in kilometres, wins map placements and profile views, and closes its sales at a cash register the analytics platform never sees. The ranking inputs differ accordingly: proximity to the searcher, the health of each location’s Business Profile, review depth per store, and the consistency of the brand’s name, address and phone data across the local web — signals an e-commerce team has no mandate to touch, and rightly so.

The org-chart consequence is that local search visibility routinely belongs to no one. Marketing owns the brand site, operations owns the stores, and the fifty Business Profiles in between are updated by whoever last remembered they exist. The retailers that treat local visibility as a named function — with an owner, a budget line and store-level metrics — are competing in a different league from those that treat it as an occasional cleanup project.

The measurement gap feeds the neglect. Store-visit attribution is genuinely harder than e-commerce attribution, but “harder” has quietly become “ignored,” and what goes unmeasured goes unfunded. The pragmatic fix is directional rather than perfect: profile views, direction requests and calls per location, tracked monthly against rankings in each trade area, correlated with the traffic counters most retailers already run at the door. The retailers doing this consistently report the same discovery — local search is usually their cheapest incremental store visit, precisely because so few competitors in the trade area are managing it deliberately. In secondary markets and suburban nodes across Canada, whole categories remain effectively unclaimed: no store in the trade area has more than a skeleton profile, and the first retailer to invest seriously inherits the Map Pack almost by default.

What Canadian retailers should do before the holiday quarter

The encouraging news is that retail local search rewards operational competence, and retailers are operators. The foundation can be audited and largely rebuilt in a quarter: claim and complete every location’s Business Profile under exact, consistent naming; fix name-address-phone consistency across every directory, map platform and social profile; build a location page on the brand site for every store, with unique content about that store’s team, stock focus and community, rather than a templated address block; connect inventory data to listings where the point-of-sale system allows it; stand up a review generation and response program with store-level accountability; and instrument everything — profile views, direction requests, calls, and the search terms shoppers actually use to find each location.

Timing matters. Local signals compound over months, not days, and the ranking positions a retailer holds in November are earned in the summer and early fall. A visibility project that starts after Thanksgiving is a project for next year.

The bottom line

Canadian retail’s defining battle of this decade is not online versus offline — shoppers ended that debate themselves by blending the two. The battle is over who controls the moment of local discovery: the shrinking strip of screen where a shopper with money and intent chooses which nearby store earns the visit. That strip — three map listings, a review score, an AI-generated sentence or two — is the new prime frontage. Retailers fought for a century over corner lots and anchor positions. The same fight has moved to the search results page, the rents are paid in operational discipline rather than dollars per square foot, and the lease terms favour whoever shows up first.