Black Friday 2026: How AI Is Changing the Game

Black Friday has always been a battle for attention. For years, retailers have sought to secure the best positions on Google, maximize the reach of their advertising campaigns, and attract consumers to their sites before their competitors do.

These levers remain essential. But in 2026, a new step is being added to the journey. Before even conducting a traditional search or visiting an eCommerce site, consumers can now ask ChatGPT, Gemini, Claude, or Perplexity to recommend a product, compare several options, or help them choose the one that best meets their needs.

During Black Friday and Cyber Monday, this shift takes on particular importance. When thousands of promotions are available at the same time, consumers have to compare more prices, features, warranties, delivery times, and return policies. AI enables them to simplify this decision-making process. In 2026, offering the best promotion may no longer be enough. Your offer must also be easy to find, understand, compare, and recommend.

Why Black Friday 2026 Will Be Different

The use of artificial intelligence in the buying journey is no longer merely a trend to watch. According to the 2026 eCommerce Trends Report, conducted by Novatize and Léger, 52% of Canadians have already used artificial intelligence in an online shopping context. In addition, 44% would use AI to compare products or brands, and 63% say they are inclined to integrate artificial intelligence into their buying journey.

This is a significant shift. A consumer looking for a television during Black Friday can, of course, still search on Google or browse their preferred retailer's site directly.

But they can also ask:

“Which 65-inch television offers the best value for money?”

“Compare these three models and tell me which one to choose.”

“Which computer under $1,500 would be best for working from home?”

“What are the best promotions currently available on this product?”

In these situations, AI now intervenes before the click.

For retailers, the challenge is to become one of the options considered before the consumer even reaches the site.

Who Will Be the Big Winners of Black Friday 2026?

Retailers that perform well will still need to offer competitive deals, an effective acquisition strategy, a simple shopping experience, and operations capable of supporting demand. But AI introduces new criteria. The best-positioned brands will be those that successfully combine strong visibility in search engines and AI assistants with products and promotions that are easy to understand and compare. They will also need reliable, structured product data, along with up-to-date information about prices, inventory, and delivery. Finally, content that genuinely helps consumers make decisions and a consistent shopping experience across touchpoints will make it easier to turn recommendations into conversions. In other words, preparing for BFCM 2026 is not solely a marketing or SEO initiative. It affects the entire eCommerce ecosystem.

Discoverability Now Extends Beyond Google

SEO remains an essential pillar of digital visibility, but retailers must now consider a new layer: visibility in generative search engines and large language models. This is where GEO (Generative Engine Optimization) comes in. In a traditional search engine, the objective is, among other things, to rank high enough in the results to generate a click. In an interface such as ChatGPT or Gemini, the experience is different. The tool analyzes multiple sources and directly constructs a response or recommendation.

The question then becomes: when your customer asks an AI which product to buy, is your brand among the options it considers? To begin answering this question, retailers must assess their presence in AI-generated responses, how their products are described, which competitors are recommended, and which sources are used to formulate these responses. It is also important to identify incorrect or missing information and determine whether the brand's content can be easily understood and cited by AI systems.This new reality does not replace SEO, but it broadens the concept of discoverability. In an environment where the answer itself sometimes becomes the interface, being indexed is no longer enough: you must also be understandable, citable, and recommendable.

Traffic From AI Assistants Is Already Showing Interesting Signals

Early observed behaviours also suggest that visitors coming from AI assistants could be particularly valuable to merchants. According to data shared at Shopify DotDev 2026, traffic from AI assistants reportedly increased nearly eightfold over the past year, while the number of orders from these sources reportedly increased nearly thirteenfold. Visitors from AI assistants also reportedly have a conversion rate nearly 50% higher than visitors from organic search, as well as an average order value approximately 14% higher.

The signal is noteworthy: when users arrive on a site after using AI to research or compare their options, some of the consideration process may already have taken place. During Black Friday, when consumers are specifically seeking to reduce the complexity of their decisions, this dynamic could become particularly important.

Your Product Data Is Also Becoming an Acquisition Lever

Visibility in AI assistants does not depend solely on editorial content or GEO; the products themselves must also be interpreted correctly. Consider two retailers offering exactly the same product during Black Friday.The first provides little more than a few images, a promotional price, and a marketing description. The second clearly presents all the information needed to make a decision, including the regular and promotional prices, promotion dates, technical specifications, dimensions, variants, and compatibility. It also provides precise information on availability, delivery times, return policies, warranties, and customer reviews.For an AI tasked with comparing several options, the second offer provides far more usable information. Product data quality, Product Information Management, structured data, and catalogue governance are therefore gradually becoming components of the acquisition strategy. Learn More About Product Information Management.

Your Promotions Must Also Be Easy to Interpret

During BFCM, offers become more numerous and complex, and they change quickly. Product-specific discounts, promotions limited to certain categories, bundles, promotional codes, limited-time offers, and free delivery above a certain amount: all these conditions must be understandable without ambiguity.If a consumer asks an AI:“Which retailer currently offers the best price on this product?”The answer will depend in part on the systems' ability to correctly identify the current and promotional prices, the offer's validity period, eligible products and exclusions, as well as delivery conditions and product availability. In 2026, promotional strategy should therefore not be designed solely to be visually appealing. It must also be clear, structured, and usable by the systems that now help consumers compare their options.

Content Must Support the Decision, Not Just Attract Traffic

AI is also changing the role of content. A product page rarely answers every question a consumer may have before making a purchase. Guides, comparisons, FAQs, educational content, and expert advice become particularly useful when they directly address the questions consumers ask AI assistants.

For example:

• Which product should I choose for a specific need?
• What is the difference between two models?
• Which criteria should I compare?
• Which product is suitable for which type of user?
• Which features justify a difference in price?
• What should I check before buying?

These are precisely the questions generative engines seek to answer. Good BFCM content should therefore do more than attract visitors to a promotion. It should also help your brand take part in the purchasing decision.

From Human-First to Machine-First: Making Your Experience Understandable

Most eCommerce experiences have historically been designed according to a Human-First approach: providing the best possible experience for the consumer. That priority does not change. But a new user must now be considered: the machine that accesses and interprets information on the consumer's behalf. This is one of the principles of Machine-First Design. The goal is not to design a site for machines at the expense of humans. Rather, it is to structure information clearly enough to be understood by both.

An experience may be visually clear to a consumer while certain essential information remains difficult for an automated system to interpret because it is ambiguous, scattered, or poorly structured. In a buying journey where AI can intervene before a site visit, this clarity becomes a new component of the eCommerce experience.

5 Actions to Prioritize Before Black Friday 2026

The goal is not to completely rebuild your ecosystem a few months before BFCM. Rather, it is to identify the elements that could limit your visibility or performance in these new journeys.

Is Your Brand Ready for Agentic Commerce?

1. Test Your Brand's Discoverability in AI Assistants

Ask ChatGPT, Gemini, Claude, Perplexity, or another assistant the questions your customers might ask. Test your brand, categories, products, and competitors. Observe whether your brand appears in generated responses, how it is described, which brands are recommended instead, and which sources the AI assistants use. Also pay attention to missing or incorrect information. This exercise will quickly give you an initial view of your presence and visibility in these environments.

2. Verify the Quality of Your Product Data

Prioritize the categories and products that will be most important during BFCM. Ensure that the information needed for comparison is complete, consistent, and easy to access: features, variants, compatibility, prices, availability, delivery times, warranties, and return policies. Better data governance benefits consumers, search engines, and AI systems alike.

3. Clearly Structure Your Promotions

Before launching your BFCM offers, verify whether their rules can be understood without interpretation. Regular prices, promotional prices, dates, exclusions, availability, and conditions should be presented consistently throughout your ecosystem.

4. Create Content Around Your Consumers' Actual Decisions

Identify the questions that precede a purchase and produce content that answers them. Comparisons, buying guides, and expert content can contribute as much to conversion as to your visibility in generative engines.

5. Test the Entire Journey Through to Conversion

Being recommended by an AI has value only if the experience that follows enables conversion. Use your BFCM preparations to review your entire eCommerce experience, including site speed and performance, internal search, navigation and filters, and the quality of information about inventory and delivery options. Pay particular attention to the mobile experience, checkout, the clarity of promotional messaging, and the reliability of data shared among your different systems. AI can change how consumers discover your offer. However, the fundamentals of conversion remain essential once they arrive on your site.

Why Start Before Peak Season

Preparing for these new behaviours is not an optimization that can be added a few days before Black Friday. Some issues can be corrected quickly. Others directly affect data, content, eCommerce architecture, integrations, or governance. Starting early enough makes it possible to distinguish improvements that can truly have an impact for BFCM 2026 from those that should instead form part of a longer-term roadmap. It also provides an opportunity to take advantage of a particular context. Many retailers are still at the beginning of their thinking about visibility in AI assistants. Organizations that start testing, measuring, and improving their presence now could gain a head start as these behaviours become more widespread.

From Discovery to Transaction: The Evolution of Agentic Commerce

In 2026, the most immediate challenge is probably not yet having an AI agent complete an entire purchase on the consumer's behalf. The first priority is to be included in the recommendation. But the next stage is already taking shape. AI agents are gradually becoming capable of going further in the journey: conducting searches based on multiple constraints, analyzing options, selecting products, and interacting with different systems on the user's behalf. As these capabilities evolve, the line between recommendation and transaction could become increasingly thin, and the necessary foundations will largely remain the same: reliable product data, accessible prices and inventory, clearly structured business rules, and an architecture capable of communicating with external systems. The actions taken today to improve discoverability and the eCommerce experience are therefore also preparing retailers for the agentic commerce of tomorrow.

Is Your eCommerce Business Ready for These New Rules of the Game?

At Novatize, we have developed an Agentic Commerce Readiness Strategic Assessment to help eCommerce businesses understand their level of visibility and readiness in environments powered by artificial intelligence. The assessment evaluates, among other things, how AI systems discover your brand, understand your offering, interpret your product data, assess your relevance, and recommend your products. The goal is then to turn these findings into concrete priorities tailored to your eCommerce reality. Discover Novatize's Agentic Commerce Strategic Assessment.

Black Friday 2026 Will Not Necessarily Begin on Your Site

In 2026, consumers will continue to use Google, social media, promotional emails, and retailer websites to prepare their purchases. But AI is now taking its place in this journey. For retailers, this new reality therefore extends far beyond SEO or GEO. It affects discoverability, content, product data, promotions, the shopping experience, technology, and conversion. The challenge of Black Friday 2026 will be to successfully connect all these dimensions. Before converting a consumer, brands will increasingly need to ensure that they are among the options being considered, regardless of where that consideration begins.

Interested in discussing this with an eCommerce expert?

Our specialists are here to help you identify the best growth opportunities for your online store.

Pierre-Olivier Brassard

Vice President - Products and Technology, Partner

contact@novatize.com+1 844 932-6682

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