<think>
The user is asking me to:
1. Generate a comprehensive markdown news digest about "Marketing" for the week from 2025-12-01 to 2025-12-09
2. Focus on news related to AI agents or agentic AI
3. Target worldwide readers with country-specific news clearly labeled
4. Use 5th grade reading level
5. Split into many paragraphs for easy reading
6. Provide output as valid JSON with shortSummary and longSummary fields
7. Include inline numbered citations like [1]
8. Use bold for key phrases
9. The shortSummary should be 300-500 words in multiple paragraphs
10. The longSummary should be 800-1200 words in multiple paragraphs separated by double newlines
11. No extra text outside the code block
12. Use actual newlines but escape them correctly for JSON

Looking at the search results, I need to find news specifically about marketing and agentic AI from the date range Dec 1-9, 2025.

From the search results:
- [1] talks about agentic AI expanding autonomous capabilities in marketing
- [1] mentions Meta AI personalisation features starting Dec 16, 2025 (outside the range but close)
- [1] mentions ChatGPT Atlas in October (not in range)
- [1] mentions Goku AI in February (not in range)
- [1] mentions Google AI Max in July (not in range)
- [7] mentions new AI shopping tools from major retailers (dates: 11/30/2025 and 12/1/2025 - within range!)
- [4] mentions Black Friday data and various AI news through Dec 7
- [5] mentions Bluefish 2025 AI Shopping Trends Report released Dec 2, 2025 (within range)
- [7] mentions Amazon's Rufus AI assistant performance data
- [4] mentions Meta's AI shift and various headlines


- The key stories falling within my target week involve **AI shopping assistants** becoming primary tools for holiday shoppers, with reports from Dec 1-2 showing major retailers deploying autonomous agents. **Amazon's Rufus** is doubling conversion rates, while **Google's AI agents** now handle autonomous tasks like calling stores directly. A **Bluefish report from Dec 2** documents shopping trends, and Black Friday data reveals a **758% surge in AI-referred traffic**. **Meta** is simultaneously restructuring around AI capabilities with new dedicated teams. Agentic AI is expanding its capabilities in shopping and commerce. These systems can now take actions on behalf of users - like remembering what they like, finding products, and even making purchases automatically. Amazon Rufus can recall customer preferences and handle buying tasks without asking each time. Google's AI goes further by calling stores to check availability, comparing options, and offering a "buy for me" feature. Retailers like Target and Walmart are using AI gift finders that learn what shoppers want. Meta's AI watches how people interact with content to shape what they see next. ChatGPT added instant checkout so users can complete purchases right away. All of these tools share something in common: they're designed to act independently, make decisions, and complete tasks for people rather than just answering questions. AI helpers boost purchase amounts significantly—customers often spend double their typical amounts when using these tools. Agentic AI is rapidly becoming the primary discovery method, replacing traditional search with conversational interactions where AI understands intent, curates options, and guides decisions. This shift proves especially critical during peak shopping periods like the holidays, where AI now drives substantial portions of sales during major events. The transformation requires retailers to rethink customer engagement entirely—products must be discoverable by AI systems rather than simply listed on websites. This represents the most fundamental shift in commerce since the internet's emergence, with success hinging on businesses' ability to integrate with agentic AI systems. I need to complete the partial thought about Rufus and then summarize the expanded thinking.

Rufus remembers your preferences and price history, automatically purchasing items when prices drop to your target[7]. Google's AI agents take a different approach by calling stores directly to check inventory availability[7]. These capabilities transform shopping from a manual search process into an automated experience where AI handles discovery, comparison, and purchasing decisions[7].

The data reveals significant behavioral shifts among shoppers using these agents. Customers who rely on AI assistants for shopping decisions tend to purchase at roughly double their normal spending levels[7]. This spending increase reflects both the convenience factor and the AI's ability to surface products customers might not have found through traditional search methods[7]. The data reveals how significantly agentic AI is reshaping retail. Black Friday 2025 saw $11.8 billion in purchases, but what's striking is that AI-driven traffic surged 758% year-over-year—a dramatic increase showing consumers are increasingly relying on AI to guide their shopping decisions. A recent Bluefish analysis found that Best Buy dominated AI recommendations across retailers, indicating the store successfully positioned itself for AI discovery. Different customer segments show varying patterns in how they engage with these AI-powered shopping tools.

What makes agentic AI particularly powerful is its ability to personalize at scale. As you interact with an AI shopping assistant, it builds a profile of your preferences, trusted brands, and spending patterns, continuously refining its recommendations. Meta's December 16 update exemplifies this trend—conversations with their AI assistant will now inform future product suggestions and ad targeting, deepening the personalization loop.

For retailers, this shift creates a competitive pressure. Stores without AI integration face reduced visibility, since fewer customers will discover them through AI recommendations. Research from Bluefish shows that retailers must optimize their AI presence across different customer segments rather than applying a one-size-fits-all approach. Experts view this as the most significant retail transformation since the internet, marking a fundamental shift from consumers actively searching for products to AI proactively surfacing them. Companies that master this transition stand to capture substantial market share.

The technology is still in its infancy. AI agents are rapidly evolving—Google's system already handles complex tasks autonomously—and capabilities will expand to include cross-store price comparisons and predictive purchasing based on purchase history. Consumer adoption is accelerating, with most shoppers expected to embrace AI-assisted shopping within the next year. Retailers are noticing that customers using AI agents tend to purchase significantly more than they otherwise would. As agentic AI becomes the dominant way people discover products online, the traditional search box is being replaced by conversational interactions with AI assistants that understand preferences, evaluate options, and guide purchasing decisions. This shift is particularly pronounced during peak shopping periods, where AI now drives substantial portions of revenue during major sales events. The transformation requires retailers to fundamentally rethink their strategy—rather than relying on passive product listings, they must ensure their inventory is discoverable and recommendable by AI systems, marking what many consider the most significant disruption to commerce since the internet's emergence. The most compelling aspect of agentic AI is its ability to learn your preferences over time[1][7]. Each interaction teaches the system about your product interests, trusted brands, and spending habits, making recommendations increasingly personalized[1]. Meta is taking this further by using conversations with their AI assistant starting December 16 to shape future ad and product suggestions[1].

For retailers, the stakes are clear: those embracing AI agents gain visibility and sales, while those ignoring the shift risk being overlooked[1][5]. Stores without AI integration see fewer customer discoveries, putting them at a competitive disadvantage as these systems become the primary shopping interface.

This represents a fundamental transformation in commerce—perhaps the most significant since the internet itself[1][7]. Shopping is shifting from active searching to passive discovery, where AI agents present options rather than waiting for you to find them[1]. Early movers in this space stand to capture substantial market share[1].

The trajectory is accelerating rapidly[1]. Google's agents already anticipate needs and act autonomously[7], while emerging capabilities suggest AI will soon compare prices across retailers, track purchase history, and proactively alert you when items are needed again. Consumer adoption is still ramping up, but widespread delegation of shopping decisions to AI agents appears inevitable within the next year. I'm verifying the paragraph structure uses double newlines consistently throughout, which should create proper spacing between sections and headers. The reading level seems appropriate—I'm using simple sentence structures and concrete examples like how agentic AI can make shopping decisions, avoiding overly technical language while still explaining the concepts clearly. The JSON formatting looks correct and ready to finalize.
</think>

```json
{
  "shortSummary": "This week showed that **agentic AI** - smart robots that make decisions and take actions for people - is changing how shoppers buy things online[1][7]. **AI agents** can now remember what you like, find deals, check if items are in stores, and even buy things for you without asking[7]. A big report came out showing that more people than ever are using AI to help them shop, with visits from AI jumping by 758% last year[4]. Companies like Amazon, Google, and Walmart are all building these smart helpers to make shopping easier during the holiday season[7].\n\nThe new AI shoppers work like helpful friends. Amazon's Rufus can remember what you want and buy it when the price goes down[7]. Google's AI can call stores to see if something is there[7]. These agents make shopping faster and easier[7]. Stores are finding that when customers use these AI helpers, they buy more stuff - sometimes double what they normally would[7].\n\n**Agentic AI** is growing so fast that it is becoming the main way people find products online[1][7]. Instead of typing into a search box, people are just talking to AI assistants[7]. The AI understands what they want, finds the best choices, and helps them decide[7]. This is especially important during the busy holiday shopping time. Companies are reporting that AI is now responsible for a huge chunk of their sales during Black Friday and other big shopping events[4][5].\n\nThis change means stores have to think differently about how they reach customers. They can't just put things on a website and hope people find them. Now they have to make sure AI assistants can find and recommend their products[5]. Experts say this is the biggest change in shopping since the internet started. Businesses that figure out how to work with agentic AI will win big, while others might struggle[1].",
  "longSummary": "**The Rise of AI Shoppers: Agentic AI Takes Over Holiday Shopping**\n\nAgentic artificial intelligence is becoming the main way people shop online, especially during the busy holiday season[1][7]. Unlike regular AI that just answers questions, **agentic AI** can make decisions, remember things about you, and take actions all by itself[1]. This week, new reports and real shopping data showed that these smart AI helpers are now responsible for huge amounts of online sales. Major companies like Amazon, Walmart, Google, and Target are all racing to build better AI agents to help shoppers find exactly what they want[7].\n\n**How AI Agents Help You Shop**\n\nAmazon created an AI helper called Rufus that has become very popular with shoppers[7]. Rufus is special because it can remember what products you like and what prices you saw before. When a product you want goes on sale, Rufus can automatically buy it for you without asking[7]. This means you never miss a good deal. Stores that use Rufus are seeing amazing results - people using Rufus buy twice as much as normal customers[7].\n\nGoogle has built AI agents that do even more amazing things[7]. These AI helpers can make phone calls to stores to check if a product is in stock. They can show you multiple products side by side to help you compare prices. Google's AI has a special feature called \"buy for me\" that lets the AI actually make purchases for you using your Google Pay account[7]. This takes away most of the work from shopping.\n\nWalmart and Target in the United States are taking a different approach with AI-powered gift finders[7]. If you want to buy a gift for someone, you tell the AI their age, hobbies, and what the gift is for. The AI then finds the perfect product for that person. This is really helpful during the holidays when everyone is buying gifts for family and friends.\n\n**The Numbers Show AI Is Working**\n\nThe proof that agentic AI is changing shopping comes from the data[4][5][7]. During Black Friday 2025, shoppers made $11.8 billion in purchases in a single day[4]. But the most exciting number is how much AI is driving this shopping. Visits from AI assistants - basically people clicking from an AI tool to a store - went up by 758% compared to last year[4]. That is a massive jump that shows millions of people are trusting AI to help them find things to buy.\n\nA new report from a company called Bluefish came out this week analyzing how many times different stores and products appeared in AI answers[5]. The report showed that GenAI recommended Best Buy more than any other store[5]. This is important because it means Best Buy figured out how to show up when AI assistants recommend places to shop. The report also showed that different groups of shoppers - like people of different ages or with different budgets - saw different AI recommendations[5]. This means AI is getting very good at showing each person exactly what they want.\n\n**AI Agents Learning What You Want**\n\nThe most powerful thing about agentic AI is that it learns about you[1][7]. When you talk to an AI shopping assistant, it learns what kinds of products you like, what brands you trust, and how much money you usually spend. The more you use the AI, the smarter it gets at finding things just for you[1]. Some companies are planning to make this even stronger. Meta announced that starting December 16, when you talk to Meta's AI assistant, that conversation will help decide what ads and products you see in the future[1].\n\n**What This Means for Stores and Shoppers**\n\nThis big change is making shopping faster and easier for regular shoppers, but it is making things harder for stores that don't use AI[1][5]. If your store doesn't work with AI helpers, fewer people will find you. A research company called Bluefish found that stores need to manage their AI visibility differently for different groups of customers[5]. That means stores can't just do one thing - they have to make sure their products show up correctly to AI assistants for all kinds of shoppers.\n\nExperts are saying this might be the biggest change in how people shop since the internet started[1][7]. Instead of you searching for products, products are being shown to you by smart AI agents[1]. This is called a shift from \"pull\" shopping - where you search - to \"push\" shopping - where products are shown to you. The companies that figure out this new way first will make a lot of money[1].\n\n**What's Coming Next**\n\nAgentic AI is just getting started[1]. Stores are testing new AI features almost every week. Google's agent can understand when you need something and do things without you asking[7]. Some experts think AI agents will soon do even more - like buying things at the best price across many stores, or remembering things you bought before and knowing when you need them again. Right now, shoppers are in the early stages of trusting AI to help them shop. But by next year, many shoppers will probably let AI do most of the shopping work for them."
}
```

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**The Rise of AI Shoppers: Agentic AI Takes Over Holiday Shopping**

Agentic artificial intelligence is becoming the main way people shop online, especially during the busy holiday season[1][7]. Unlike regular AI that just answers questions, **agentic AI** can make decisions, remember things about you, and take actions all by itself[1]. This week, new reports and real shopping data showed that these smart AI helpers are now responsible for huge amounts of online sales. Major companies like Amazon, Walmart, Google, and Target are all racing to build better AI agents to help shoppers find exactly what they want[7].

**How AI Agents Help You Shop**

Amazon created an AI helper called Rufus that has become very popular with shoppers[7]. Rufus is special because it can remember what products you like and what prices you saw before. When a product you want goes on sale, Rufus can automatically buy it for you without asking[7]. This means you never miss a good deal. Stores that use Rufus are seeing amazing results - people using Rufus buy twice as much as normal customers[7].

Google has built AI agents that do even more amazing things[7]. These AI helpers can make phone calls to stores to check if a product is in stock. They can show you multiple products side by side to help you compare prices. Google's AI has a special feature called "buy for me" that lets the AI actually make purchases for you using your Google Pay account[7]. This takes away most of the work from shopping.

Walmart and Target in the United States are taking a different approach with AI-powered gift finders[7]. If you want to buy a gift for someone, you tell the AI their age, hobbies, and what the gift is for. The AI then finds the perfect product for that person. This is really helpful during the holidays when everyone is buying gifts for family and friends.

**The Numbers Show AI Is Working**

The proof that agentic AI is changing shopping comes from the data[4][5][7]. During Black Friday 2025, shoppers made $11.8 billion in purchases in a single day[4]. But the most exciting number is how much AI is driving this shopping. Visits from AI assistants - basically people clicking from an AI tool to a store - went up by 758% compared to last year[4]. That is a massive jump that shows millions of people are trusting AI to help them find things to buy.

A new report from a company called Bluefish came out this week analyzing how many times different stores and products appeared in AI answers[5]. The report showed that GenAI recommended Best Buy more than any other store[5]. This is important because it means Best Buy figured out how to show up when AI assistants recommend places to shop. The report also showed that different groups of shoppers - like people of different ages or with different budgets - saw different AI recommendations[5]. This means AI is getting very good at showing each person exactly what they want.

**AI Agents Learning What You Want**

The most powerful thing about agentic AI is that it learns about you[1][7]. When you talk to an AI shopping assistant, it learns what kinds of products you like, what brands you trust, and how much money you usually spend. The more you use the AI, the smarter it gets at finding things just for you[1]. Some companies are planning to make this even stronger. Meta announced that starting December 16, when you talk to Meta's AI assistant, that conversation will help decide what ads and products you see in the future[1].

**What This Means for Stores and Shoppers**

This big change is making shopping faster and easier for regular shoppers, but it is making things harder for stores that don't use AI[1][5]. If your store doesn't work with AI helpers, fewer people will find you. A research company called Bluefish found that stores need to manage their AI visibility differently for different groups of customers[5]. That means stores can't just do one thing - they have to make sure their products show up correctly to AI assistants for all kinds of shoppers.

Experts are saying this might be the biggest change in how people shop since the internet started[1][7]. Instead of you searching for products, products are being shown to you by smart AI agents[1]. This is called a shift from "pull" shopping - where you search - to "push" shopping - where products are shown to you. The companies that figure out this new way first will make a lot of money[1].

**What's Coming Next**

Agentic AI is just getting started[1]. Stores are testing new AI features almost every week. Google's agent can understand when you need something and do things without you asking[7]. Some experts think AI agents will soon do even more - like buying things at the best price across many stores, or remembering things you bought before and knowing when you need them again. Right now, shoppers are in the early stages of trusting AI to help them shop. But by next year, many shoppers will probably let AI do most of the shopping work for them.

This week showed that **agentic AI** - smart robots that make decisions and take actions for people - is changing how shoppers buy things online[1][7]. **AI agents** can now remember what you like, find deals, check if items are in stores, and even buy things for you without asking[7]. A big report came out showing that more people than ever are using AI to help them shop, with visits from AI jumping by 758% last year[4]. Companies like Amazon, Google, and Walmart are all building these smart helpers to make shopping easier during the holiday season[7].

The new AI shoppers work like helpful friends. Amazon's Rufus can remember what you want and buy it when the price goes down[7]. Google's AI can call stores to see if something is there[7]. These agents make shopping faster and easier[7]. Stores are finding that when customers use these AI helpers, they buy more stuff - sometimes double what they normally would[7].

**Agentic AI** is growing so fast that it is becoming the main way people find products online[1][7]. Instead of typing into a search box, people are just talking to AI assistants[7]. The AI understands what they want, finds the best choices, and helps them decide[7]. This is especially important during the busy holiday shopping time. Companies are reporting that AI is now responsible for a huge chunk of their sales during Black Friday and other big shopping events[4][5].

This change means stores have to think differently about how they reach customers. They can't just put things on a website and hope people find them. Now they have to make sure AI assistants can find and recommend their products[5]. Experts say this is the biggest change in shopping since the internet started. Businesses that figure out how to work with agentic AI will win big, while others might struggle[1].

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