Winning AI Recommendations This Black Friday

Black Friday shoppers don't just want the cheapest product

Now hear me out. Of course price plays a huge role during Black Friday, but buying behaviour isn't driven by price alone.

If you were Black Friday shopping and spotted two laptops at roughly the same price, one is from a retailer you recognise, has hundreds of reviews, clearly explains the specifications, promises next-day delivery and gives you until January to return it. The other is £20 cheaper, but you've never heard of the retailer and you're struggling to find information about delivery or returns. Which feels like the safer purchase?

This is where behavioural science comes into play.

During Black Friday, shoppers are dealing with choice overload, time pressure and fear of missing out. There are thousands of deals competing for their attention, countdown clocks ticking and retailers telling them stock won't last forever. That creates a huge cognitive load for them.

Rather than carefully analysing every available option, people look for shortcuts that make a decision easier. Familiar brands, strong reviews, clear savings and straightforward delivery information all provide reassurance. AI recommendations can become another shortcut.

But an AI platform needs enough information and evidence to confidently put your product into that consideration set.

So rather than asking how we can rank for Black Friday, we need to ask why AI should recommend us over everyone else.

Give AI clear reasons to recommend your Black Friday offer

AI platforms compare different retailers selling the same product.

One retailer clearly provides:

• Current price

• Previous price

• Product specifications

• Stock availability

• Delivery times

• Returns information

• Customer ratings

• Detailed product descriptions

Another has a product name, promotional banner, and discounted price. Which provides the stronger evidence for a recommendation? This is why structured, accurate product information becomes particularly important during Black Friday.

Google recommends product structured data for information including price, availability, ratings, shipping, and returns. While structured data doesn't guarantee that your product will appear in an AI recommendation, it makes product information easier for search systems to understand and interpret.

Ask yourself: 

• Are promotional prices being reflected accurately? 

• Is stock information current? 

• Are product specifications consistent? 

• Are delivery and returns policies easy to find?

Don't make a search engine, AI platform, or shopper work unnecessarily hard to understand your offer. And remember the behavioural principle of cognitive ease: information that is easier to process generally feels easier to act upon. Black Friday is probably not the moment for ambiguity.

Reviews could make the difference between your deal and somebody else's

AI has done its job, and your product has been recommended, so I can hear you all asking me... what happens next?

Our SearchPulse findings suggest many consumers aren't simply accepting AI's answer and immediately hitting "buy", they're verifying, which makes your reviews particularly valuable.

Reviews provide something your own marketing can't: social proof! They're evidence that other people have already taken the perceived risk and had a positive experience.

Specific reviews can be far more useful than dozens of variations of "Great product, five stars!".

A customer explaining that a coat runs slightly small, a laptop performs well for video editing or a toy kept their six year old entertained gives future customers additional information to make their decision.

Those details also create useful context around who products are suitable for and why.

Before Black Friday, retailers should therefore be asking whether reviews are prominent, recent and actually useful to somebody deciding between competing products.

Don't win the AI recommendation and lose the human

This is the most important point, in my opinion. If someone finds you through AI, clicks through and finds your product is out of stock, the price doesn’t match, delivery information is unclear, they can’t find the returns policy, or the landing page is painfully slow, then you've successfully won the recommendation and still lost the customer. 

That's why AI visibility can't sit in an SEO silo. Paid media, SEO, content, Digital PR, CRO and UX all influence different parts of the same journey.

Our SearchPulse research around verification behaviour reinforces this. AI may increasingly influence the shortlist, but humans still want to validate the decision. That means looking beyond whether your brand appears.

If the AI recommendation has created expectation and intent, your website's job is to turn that into confidence.

Key Takeaways

• Give AI clear reasons to recommend you. Make sure your pricing, stock, product information, delivery and returns are accurate, structured and easy to understand.

• Use reviews to build confidence. Shoppers are still verifying AI recommendations, so recent and useful social proof can make the difference between your product and a competitor's.

• Don't win the AI recommendation and lose the human. AI might get you onto the shortlist, but your website experience, messaging and trust signals still need to turn that recommendation into a sale.

Want to make sure your brand is ready to win both AI recommendations and customers this Black Friday? Get in touch with the Reflect Digital team and let's make sure you're giving shoppers every reason to choose you.