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How to Leverage AI Search For The Best Deals this BFCM

Every year, Black Friday and Cyber Monday marks the most relevant milestone on the retail calendar. And this year, new and smarter ways of making the best out of the season have come from the rise of AI-powered shopping. One in three 25-34 year olds are planning to use AI chatbots to find Black Friday Deals quietly changing how customers compare products. 60% of consumers plan to use AI to discover deals, and 69% said they’d let AI decide who actually wins their spend.

Different AI Use Cases For BFCM

AI-Powered Shopping Assistants

AI-powered assistants like ChatGPT, Perplexity or Google Gemini can check multiple retailers, compare prices, and shine a light on the best deals.

Ask something like: “What’s the best deal on a 65-inch OLED TV today?”

…and AI will sift through the clutter so shoppers don’t have to.

ChatGPT Shopping Research

ChatGPT launched their new shopping research function just in time for BFCM.

Instead of hopping between dozens of sites, shoppers can describe what they’re looking for and ChatGPT builds a personalized buyer’s guide with options, trade-offs, and live product details pulled from high-quality sources—all inside one conversation.

Price-Tracking & Deal-Alert Tools

Shoppers can use tools (or generative AI prompts) that watch for price drops, alert when something goes on sale, or automatically notify when the item they want enters a target price.

This means shoppers can set up their “wish list” items ahead of time and let AI monitor for best timing to buy.

Personalized Product Recommendations

Shoppers can use AI that learns their preferences (from browsing/purchase history) and suggests suitable deals or items they didn’t know existed.

This can help them find items they might otherwise miss in the flood of Black Friday offers.

Faster Research And Decision-Making

Large language models help shoppers process long product pages, reviews, specs, etc., more quickly (e.g., summarizing, comparing) so they can decide faster.

For example: “Summarize the key differences between this laptop and that one” via AI.

Conversational And Voice-Based Shopping

As conversational interfaces mature, the shopping journey is becoming more natural and less structured.

Instead of typing “best running shoes sale,” shoppers ask AI: “Find me the best running shoes for under £120 that are good for road running and long distances.” This lowers the barrier for those who might feel lost in promotional chaos.

Prompt Examples for Different Shopper Scenarios

There are a lot of different shopping scenarios over BFCM, here's some prompts shoppers can plug into their AI bot to get the most effective results.

Scenario 1: A strict wish list and budget

“Find me the best deal on my wish list within a specific budget.”

Help me optimise this Black Friday/Cyber Monday wishlist.

Wishlist: [paste items].

Total budget: £[X].

Research across reputable retailers and find the best current deals for each item. Only include items that fit my budget. Then create a short buyer’s guide: which items represent the best value, where to buy them, and whether it looks better to buy now or wait until later in the weekend based on current pricing.

“Compare multiple deals for one product.”

Compare the best Black Friday deals for this product: [product name & model].

List the retailer, price, shipping cost, return policy, and whether the deal looks genuinely good compared to normal pricing.

“Alert me if my target item goes under a certain price.”

Track the price of this item over Black Friday/Cyber Monday: [link or product description].

Notify me if you find it below £[target price] and show me all retailers offering it.

“Tell me if a discount is real or inflated.”

Can you verify whether this Black Friday discount is real?

Here is the product: [paste link].

Show me typical pricing over the last few months and whether this sale is actually a good deal.

“Help me optimize my total spend.”

Here’s my full wishlist and my total budget of $[X].

Help me prioritize which items I should buy now based on savings, stock risk, or price patterns.

If the full list exceeds my budget, suggest the most cost-efficient combination.

“Create a purchase plan based on live deals.”

Here are all the items I want for Black Friday: [list].

Create a step-by-step plan — what to buy first, where to find the best price, and how to stay within budget.

Scenario 2: The shopper doesn’t know what they want — only categories

“Show me the best deals across my interest categories.”

I’m shopping for Black Friday but I’m not sure what to buy.

Here are the categories I’m interested in: [e.g., high-street fashion, jewelry, home appliances, TVs].

Show me the top current deals in each category and why they’re good value.

“Recommend high-value purchases for my budget.”

I have a budget of $[X] for Black Friday shopping.

What are the highest-value deals you recommend across categories like [list categories]?

Offer a mix of big-ticket deals, hidden gems, and great-value favourites.

“Find trending or unusually strong deals.”

Find me the Black Friday deals that are trending, unusually discounted or widely shared today in these categories: [categories]. Why are they popular?

“Build me a shopping list based on great deals.”

I want to take advantage of Black Friday but don’t know what to buy.

Create a tailored shopping list of the best-value items under $[X] across [categories].

“Help me discover items I didn’t know I wanted.”

Suggest items I may not be thinking about but that represent excellent value this Black Friday across [categories]. Prioritize unusually large discounts or high-utility products.

“Show me the categories with the biggest savings today.”

Based on today’s Black Friday data, which categories currently offer the strongest discounts? Highlight any surprise categories.

“Compare categories to find the best return on budget.”

Here are the categories I’m considering: [list].

Where will my money go the furthest based on current Black Friday pricing trends?

Wading Through Your Emails With AI

If Black Friday inboxes are a rising tide of noise, AI is a tide-turner. This BFCM, consumers can link tools like ChatGPT directly to their Gmail* and transform the flurry of brand emails stacking up shoppers inboxes into an organized, prioritized feed of all their favorite brands.

Once connected, a shopper can simply ask AI to:

  • Pull all Black Friday or Cyber Monday emails from their inbox
  • Summarize the offers clearly
  • Extract discount percentages, products and expiry dates
  • Group deals by retailer or category
  • Surface standout or unusually strong discounts
  • Compile all coupon codes in one place

There are, of course, guardrails. AI can only access emails the user explicitly grants permission to read, and it cannot take actions like deleting, unsubscribing or rearranging folders. And while AI can identify patterns, it cannot confirm deal competitiveness without being asked to cross-check prices elsewhere. But even with these constraints, the ability to turn an overflowing inbox into a strategic shopping shortlist is transformative.

*Right now, ChatGPT paired with Gmail is the only seamless combo for scanning a full inbox for BFCM deals. Other assistants like Gemini or Copilot offer helpful in-email summaries, and AI-first clients such as Superhuman and Spark make reading faster, but none of them can extract brand names, pull discount codes, group offers or analyze multiple promotional emails at once.

How to pull out the best inbox deals using AI prompts:

Once you’ve connected your Gmail account to ChatGPT, you can use it as a personal BFCM assistant. Here are ready-to-go prompts you can copy and paste straight into ChatGPT.

Pull all the BFCM deals from the inbox

Prompt:

Search my Gmail inbox for all emails related to Black Friday, Cyber Monday, sales or discounts from the past [X] days.

Summarize each one by listing the brand, the deal or discount offered, any promo codes, expiry dates and whether it looks time-sensitive.

Create a simple digest of every offer

Prompt:

Scan my inbox for all Black Friday and Cyber Monday emails and create a digest that includes: brand name, headline offer, discount percentage, promo code, key exclusions and expiry date. Format it as a clean, skimmable list.

Extract all discount codes in one place

Prompt:

Search my inbox for all BFCM emails and extract every discount or promo code.

For each code, include the brand, the offer, minimum spend (if stated) and the expiry date. Put everything into a single, easy-to-copy list.

Show me today’s best deals from my inbox

Prompt:

Look at all BFCM emails I’ve received today and highlight the
strongest deals based on discount size or limited-time offers.
Include the brand, the discount, any codes and when the offer expires.

Group my deals by brand or category

Prompt:

Scan my inbox for Black Friday and Cyber Monday emails and group the offers by brand and then by category (e.g., fashion, beauty, tech, home). For each one, list the discount, any promo code and the expiry date.

Pull only the deals I care about

Prompt:

Search my inbox for all BFCM emails, but only show me the offers related to [fashion / beauty / tech / home / jewelry].
For each one, list the brand, discount, code and expiry date.

Turn my inbox into a shopping list

Prompt:

Scan all BFCM emails in my inbox and build a master shopping list showing: brand, product or category, discount offered, promo codes and expiry dates. Organise it so I can quickly see where the biggest savings are.

Surface hidden or easy-to-miss offers

Prompt:

Look through all my Black Friday and Cyber Monday emails and highlight any hidden deals, early-access links, stackable codes or offers buried in the small print. Summarise them by brand, discount, code and expiry date.

The future of AI in BFCM: Agentic Comerce to buy inside ChatGPT

In September 2025, OpenAI announced the introduction of one of the most relevant features for merchants on AI assistants; Agentic Commerce, a built-in feature enabling customers to buy directly into ChatGPT trough Shopify stores, adding an additional layer into the set of available tools merchants have to reach new customers and making AI optimization and discoverability ever more relevant for both customers and brands.

In the near future, customers looking for the best deals won’t have to abandon their conversations to checkout on their chosen products and will benefit of comparing products, finding offer and ordering all at the same place.

If you need support with optimizing your ecommerce store for AI search, reach out to our expert team and check out our AI Commerce Suite offering.

Headshot of Freyja Wedderkop
Marketing
Freyja Wedderkop

Marketing Manager

Freyja, UK Marketing Manager at Domaine, brings six years of experience crafting technical thought leadership content for companies in the professional services, financial services, and ecommerce sectors. She enjoys collaborating with technical experts and translating ecommerce best practices into digestible insights for a broad audience. When she’s not writing, she’s diving into other areas of marketing, running her book club or sampling the endless array of small-plate restaurants in her native London.

Headshot of Iñaki Errandonea
Marketing
Iñaki Errandonea

Marketing Manager

Iñaki, Marketing Manager at Domaine, a generalist with more than 7 years of career spanning branding, marketing and technology, he brings together integral knowledge from client side to developer execution. Based in Santiago de Chile, he enjoys martial arts, boardgames and creative projects.