Black FridayNovember 27
Cyber MondayNovember 30
AI shopping intent65% of shoppers
2025 Shopify BFCM sales$14.6 billion

What changed: Shopify Catalog can now share a product’s compare-at price with compatible AI shopping agents, allowing an agent to recognize and present a genuine markdown. Shopify is also extending product discovery and Shop Pay checkout into AI experiences, while giving merchants a knowledge base where they can review the store facts, policies, and FAQs shared with those agents.

Discounts can now travel with the product data

For years, the Black Friday playbook assumed that a shopper would see the merchant’s theme. The sale badge, crossed-out price, countdown, delivery message, and returns notice all lived on a web page controlled by the brand. AI shopping changes that sequence. A shopper may ask an agent for a waterproof jacket under $150, compare several options, approve a cart, and reach checkout without browsing the collection page that the merchant spent weeks preparing.

Shopify’s October 9 developer update added compare-at prices to its Catalog API as a list_price. When a merchant shares compare-at prices through Catalog Mapping and the value is higher than the current price for that buyer, an agent can see both numbers and calculate the markdown. Shopify says the setting is enabled by default for most eligible stores, while stores using compare-at prices as MSRP or another reference price may be treated differently.

That sounds like a technical change, but it is a merchandising change. A Black Friday offer can now remain visible when discovery happens outside the storefront. The agent no longer has to infer a promotion from a banner or scrape a theme. It receives structured price data directly.

Shopify holiday shopping in the agentic commerce era
Shopify says 2026 is the first holiday season in which AI agents can move from product discovery toward checkout. Image: Shopify.

Shopify says 65% of shoppers expect to use AI this holiday season

In its 2026 Global Holiday Retail Report, Shopify says 65% of shoppers plan to use AI for at least one shopping task during the season. The company also reports that 71% of regular AI users are more likely to choose an independent brand this year than last year.

Those figures do not mean most Black Friday orders will suddenly be completed inside an AI assistant. Search, comparison, gift ideas, product questions, and deal discovery all count as shopping tasks. The more immediate implication is that product information has to survive outside the visual context of the store.

A title such as “Holiday Special No. 4” may make sense beside a campaign hero, but it is weak data for an agent trying to compare products. The same applies to vague variant names, missing materials, incomplete size information, unclear shipping coverage, and returns policies buried in an image. Structured commerce rewards stores that describe products plainly.

Fall ’26 expands the route from conversation to checkout

Shopify’s Fall ’26 Edition, released October 28, pushes the platform further into agentic commerce. Shopify says its catalog now makes more than one billion products discoverable across AI channels, while more than 400 million shoppers have Shop Pay accounts.

The rollout includes a Shop skill that can be used by AI agents, Shop Pay in personal agents, selling through Google Search including AI Mode and Gemini, and store eligibility checks for Shopify Catalog. The company also introduced a knowledge base in the admin where merchants can review and approve the business facts, policies, and FAQs that agents receive.

That approval step is important. An AI answer about a return window or delivery area should not be treated as a creative writing exercise. Shopify says nothing it drafts for the knowledge base reaches an agent until the merchant publishes it. For Black Friday teams, that makes the knowledge base another launch checklist, alongside discount codes, inventory, email automations, and checkout testing.

Shopify Fall 2026 Edition agentic commerce features
Shopify’s Fall ’26 Edition connects product discovery, store facts, carts, and Shop Pay to more AI channels. Image: Shopify.

Why the 2025 sales record raises the stakes

The platform enters this season with a large benchmark to beat. Shopify reported $14.6 billion in worldwide merchant sales during BFCM 2025, a 27% increase from 2024. More than 81 million customers bought from Shopify-powered businesses, and sales peaked at $5.1 million per minute at 12:01 p.m. EST on Black Friday.

Shop Pay represented 32% of orders, with sales through Shop Pay rising 39% year over year. Cross-border orders accounted for 16% of the total. Those numbers explain why Shopify is focused on carrying its catalog and wallet into more discovery environments: a small improvement in how products are found or checked out can touch a very large amount of holiday demand.

They also show why merchants should be cautious about last-minute experimentation. Black Friday is a poor time to rewrite the catalog, replace the theme, or install several unfamiliar apps at once. Shopify’s new AI surfaces may be worth preparing for, but the basic operating system of the store still needs to work under load.

What this does not mean: merchants do not need to redesign the entire store for AI before November 27. They should first verify that the catalog data already feeding those channels is accurate. Bad inventory, misleading compare-at prices, incomplete variants, or an outdated shipping policy will travel farther when more channels can read them.

Four checks Shopify merchants should make now

1. Audit compare-at prices

Confirm that every markdown is real, regionally appropriate, and higher than the current selling price. Stores using compare-at values as MSRP should review how Catalog Mapping handles them before assuming an agent will present a discount.

2. Review Catalog eligibility

Use the Shopify admin eligibility view to see whether products can appear in Shopify Catalog and what needs to change. Check titles, variants, availability, images, and product identifiers on the campaign SKUs first.

3. Publish accurate store facts

Review the knowledge base information sent to agents. Shipping cutoffs, return windows, excluded locations, gift policies, and customer-service routes should match the actual Black Friday operation.

4. Test the ordinary checkout

AI discovery does not excuse a broken store. Test discounts, Shop Pay, taxes, shipping rates, inventory reservations, post-purchase email, and mobile checkout with a real low-value order.

Early discounting is already visible across Shopify stores

The season is also starting earlier. A November 4 analysis from Alert Commerce says the share of advertisers launching new Meta ads with a percentage-off offer rose from 18% to 22% between the week of August 31 and the week of October 26. The report analyzed nearly 1.95 million Shopify stores and found that 74% ran at least one official advertising-channel app.

That is third-party research rather than Shopify’s own merchant-sales data, but it supports what shoppers are already seeing: Black Friday is becoming a multi-week acquisition period rather than a four-day event. Merchants waiting until Thanksgiving week to start collecting intent may find that competitors have already trained audiences, tested creative, and established a price reference.

The better response is not automatically a deeper discount. It is a clearer offer. Bundles, gift-with-purchase promotions, loyalty access, free-shipping thresholds, and category-specific offers can protect margin while giving both people and agents a simple reason to choose the product.

The practical takeaway

Shopify’s Black Friday story in 2026 is not that the storefront has become irrelevant. It is that the storefront is no longer the only place where a product, price, policy, and checkout meet. AI agents are becoming another distribution layer, and Shopify is trying to keep its catalog and Shop Pay at the center of that transaction.

For merchants, the work is less glamorous than the announcement: clean product data, honest discounts, accurate policies, tested inventory, and a checkout that behaves correctly. Stores that already manage those fundamentals have a chance to benefit from new discovery channels. Stores that do not may simply distribute their mistakes more efficiently.

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