To The Moon

🔎 Beginner’s Guide to Search Advertising — Part 1

How Meta, Google, Ray-Ban Smart Glasses, WhatsApp and AI Could Shape the Future of Digital Advertising

The big idea: When I invest in technology companies, I don’t just look at how many phones they sell, how many people use their apps, or how impressive their AI models are. I also want to understand how these companies turn attention into advertising revenue.

Think about it. A person searches for a new pair of running shoes on Google, watches a product video on Facebook, messages a shop on WhatsApp, and asks an AI assistant which shoes offer the best value. These activities could all create opportunities for businesses to advertise, attract customers and make sales.

That is why I find digital advertising an important business model for beginners to understand. It connects technology, consumer behaviour, artificial intelligence and the financial performance of major companies.

This is Part 1 of my beginner’s guide. I will explain search advertising, how Meta makes money from its advertising ecosystem, why Ray-Ban smart glasses matter, how Google competes, and whether ChatGPT and Microsoft could become important players in the next stage of advertising.

1. 🔍 What exactly is search advertising?

Search advertising is when a business pays to display an advertisement to someone who is searching for something relevant to its products or services.

Imagine I own a pet grooming shop in Singapore. Someone searches Google for “best dog grooming near me.” My shop could appear as a sponsored result above ordinary search results.

If the customer clicks my advertisement and books an appointment, I have an opportunity to earn revenue from that advertising expense.

There are three important terms beginners should understand:

* CPC — Cost per click: How much an advertiser pays for a click.

* CTR — Click-through rate: The percentage of people who see an advertisement and click it.

* ROAS — Return on ad spend: How much revenue a business generates for every dollar spent on advertising.

For example, if a business spends S$100 on advertisements and generates S$500 in sales, its ROAS is 5 times. However, that does not mean it earns S$400 in profit. The business still needs to pay for its products, wages, delivery, rent and other expenses.

The biggest advantage of search advertising is intent. Someone searching for “buy running shoes Singapore” may already be preparing to purchase. That person could be more valuable to an advertiser than someone casually scrolling through social media.

However, search advertising is only one part of digital advertising. Meta’s platforms, for example, are especially powerful at helping people discover products they were not actively searching for.

2. 📱 Meta: Turning Facebook, Instagram and messaging into an advertising machine

When I look at Meta Platforms, I see a company with something extremely valuable: a huge collection of apps where people spend time every day.

Meta’s advertising ecosystem includes Facebook, Instagram, Messenger and WhatsApp, alongside other advertising placements. Its financial filings explain that advertising is the main source of its revenue.

Let me explain how the different platforms work.

Facebook: Businesses can promote products, services, videos, events and online shops. A restaurant might advertise its lunch menu to people nearby, while an electronics retailer might promote a new smartphone.

Instagram: This platform is particularly useful for visual products such as fashion, beauty, travel, food and lifestyle brands. Advertisements can appear in feeds, Stories and Reels. A person watching a video about skincare might discover a product and purchase it without ever searching for it on Google.

Messenger: Businesses can use advertisements to encourage customers to start conversations, ask questions and enquire about products or services. This is useful when a customer needs more information before buying.

WhatsApp: A business can run advertisements that direct customers into a WhatsApp conversation. For example, a furniture shop could let a customer enquire about prices, delivery arrangements and available colours directly through chat.

Meta also offers paid business messaging products, allowing businesses to communicate with customers through its messaging ecosystem. Its 2025 annual report describes advertising placements across Facebook, Instagram, Messenger and WhatsApp, although the precise advertising formats and monetisation differ between services.

Why does this matter to investors?

Meta does not necessarily need to charge customers a monthly subscription to make money from its main social platforms. Instead, advertisers pay to reach audiences, and Meta uses its recommendation and advertising systems to help match advertisements with potential customers.

If Meta’s AI can improve targeting and show more relevant advertisements, businesses may receive better results from their advertising budgets. That could make the platform more attractive to advertisers.

But there is a catch: Meta must balance advertising revenue against user experience. Too many irrelevant advertisements could cause people to spend less time on its apps.

3. 🕶️ Ray-Ban smart glasses: Why Meta wants to be more than a social media company

Here is where the story gets interesting.

Meta’s business is not limited to Facebook and Instagram. Its partnership with EssilorLuxottica, the company behind Ray-Ban, allows it to combine familiar eyewear designs with cameras, audio and AI capabilities.

In September 2026, Meta announced an expanded AI glasses lineup, including Ray-Ban Meta updates and a new collection designed in collaboration with international star LISA. The company also introduced Muse, a personal AI agent intended for its glasses.

Why should advertising investors pay attention?

Imagine wearing smart glasses while walking through a shopping mall. You could ask an AI assistant where to find a particular product, get information about a shop or capture a moment without reaching for your phone.

That creates a potential new way for consumers to discover products and interact with businesses.

There are several possible future opportunities:

* Product discovery: AI could help users learn about products that match their needs.

* Local commerce: Consumers could ask for nearby restaurants, shops or services.

* Shopping assistance: An AI assistant could help compare product features and prices.

* Business partnerships: Retailers could explore ways to connect their products and services with wearable AI experiences.

However, I would not automatically assume that Meta will place advertisements directly in smart glasses or that glasses will become a major advertising revenue source. Those are possibilities, not guaranteed outcomes.

The immediate investment case is that Meta is expanding its consumer hardware and AI ecosystem. The longer-term question is whether these devices create new ways for people to discover products and for businesses to reach customers.

🌟 Why LISA matters

A collaboration with a globally recognised entertainer such as LISA can help Meta make its glasses more fashionable and culturally relevant. Consumers may see them not simply as technology gadgets, but as accessories they want to wear.

That could broaden the customer base beyond technology enthusiasts.

From an investor’s perspective, I would monitor product demand, sales growth, customer adoption and profitability. A celebrity collaboration may generate attention, but attention alone does not prove that a product will be commercially successful.

The key question is whether Meta can turn a fashionable product into a sustainable business.

4. 🔎 Google: The king of search advertising faces a new AI era

When people think about search advertising, Google is one of the first companies that comes to mind.

The business model is straightforward. Someone searches for a product, service or answer, and Google may display relevant sponsored advertisements alongside its search results.

For example, someone searching for “best air fryer under S$200” might see sponsored shopping listings from retailers selling air fryers.

Google benefits because its search engine helps businesses reach people at the moment they are looking for information or considering a purchase.

However, AI is changing the way people search.

Instead of typing “best laptop,” a user might ask an AI-powered search experience to compare several laptops based on battery life, price, gaming performance and portability.

Google is adapting by introducing advertising opportunities around AI-generated search experiences. Its official advertising guidance says eligible search advertisements can appear above, below and, in supported markets and formats, within AI Overviews. Singapore is among the listed markets where English-language ads in AI Overviews are available.

This creates an interesting opportunity.

Rather than simply matching advertisements to a short keyword, an advertising system may be able to consider a person’s broader question and the context of an AI-generated answer.

For example, if someone asks for a laptop suitable for video editing, relevant advertisements could help that person compare available models.

Google is also developing AI Max for Search, which expands how campaigns match search queries, customise advertising text and direct users to relevant website pages.

What could go right for Google?

If AI makes search more useful, people may continue using Google’s services to research products and make purchasing decisions.

Businesses may then have more opportunities to advertise around these interactions.

What could go wrong?

If AI answers a question completely and the user never clicks a website, some businesses could receive less traffic. Advertisers might also question whether they are getting sufficient value from their spending.

Google must therefore find a balance: provide useful AI answers while preserving a healthy advertising business.

For investors, the important question is not simply whether AI search grows. It is whether Google can monetise these new experiences without damaging user trust or its existing search economics.

5. 💬 WhatsApp and Messenger: From seeing an advertisement to making a purchase

I think messaging deserves special attention because it connects advertising with an actual conversation.

Imagine that I see an advertisement for a restaurant on Facebook. Instead of visiting another website, I click a button and start chatting with the restaurant on WhatsApp.

I can ask about the menu, check whether a table is available and find out about delivery options.

This is different from a traditional search advertisement. The advertisement does not merely aim to generate a click; it can initiate a conversation that leads to a sale.

Meta supports advertisements that direct people into messaging conversations, and it offers business messaging products across its platforms.

Potential advantages include:

* For small businesses: A direct way to handle enquiries without building complicated websites.

* For customers: A convenient way to ask questions before buying.

* For Meta: An opportunity to connect advertising exposure with business conversations and potentially transactions.

AI could make this more powerful. A business assistant might answer routine questions about stock availability, delivery policies and product specifications.

But there are risks. Businesses need accurate answers, appropriate customer privacy safeguards and a way to transfer complicated enquiries to a human.

If automated conversations become frustrating or unreliable, customers may lose trust.

The investment takeaway is that messaging can help Meta extend the value of an advertisement beyond the initial impression or click. Whether this becomes a major source of incremental profit depends on adoption, pricing and the cost of delivering these services.

6. 🤖 ChatGPT advertising: Could AI conversations become another advertising channel?

Now we come to a newer advertising opportunity: AI assistants.

Traditional search engines generally show a list of links. A conversational AI assistant can help a user explore a problem, compare alternatives and narrow down choices in a series of questions.

For example, a person might ask:

“I want a lightweight laptop for travelling, with long battery life and a budget of S$1,500. Which models should I consider?”

That conversation reveals more context than a short search phrase. An advertising system could potentially match relevant offers to the user’s expressed interests.

Importantly, ChatGPT advertising is no longer merely a hypothetical idea. OpenAI’s official advertising documentation describes an advertising experience in which ads appear below ChatGPT responses, with advertiser identification, headlines, descriptions and landing pages. It also explains impression-based and click-based billing options.

This does not mean every ChatGPT user sees advertisements. OpenAI’s published guidance says ads are not shown to users on Plus, Pro or Business plans, or to accounts identified as belonging to users under 18.

Why could this business model be interesting?

First, AI conversations can reveal a user’s immediate task. Someone asking for hotel recommendations has different needs from someone asking how to repair a bicycle.

Second, an AI assistant may help customers compare products before they decide to purchase.

Third, advertising could create a revenue source that helps support the cost of operating AI services.

However, I would watch three risks carefully:

* Trust: Users must be able to distinguish sponsored content from independent answers.

* Relevance: Poorly matched ads could make AI conversations less useful.

* Economics: High computing costs could limit profitability even if advertising revenue grows.

I would also distinguish advertising revenue from AI subscription revenue. They are different business models, and success in one does not automatically guarantee success in the other.

7. 🪟 Microsoft: Bing, Copilot and a different route into AI advertising

Microsoft is another company worth watching.

Its Microsoft Advertising business serves search ads across Bing and its wider advertising network. Microsoft has also developed advertising experiences for Copilot, its AI assistant.

The difference is that Microsoft can combine traditional search advertising with advertising opportunities in AI-powered conversations.

In 2026, Microsoft described AI Max for Search as a set of capabilities that uses AI to expand query matching, customise ad text and direct people to relevant landing pages. Microsoft has also described advertising formats designed for Copilot experiences.

For example, a user researching a new television through Copilot might receive an answer explaining screen sizes and features. Relevant sponsored offers could provide a next step for someone ready to compare prices.

Microsoft’s potential advantages include its search network, Windows and Edge distribution, business software ecosystem and AI products.

However, investors should not confuse Microsoft’s partnership with OpenAI with ownership of ChatGPT’s advertising business. Microsoft Advertising and OpenAI’s advertising products are distinct offerings.

The investment question is whether Microsoft can turn AI usage into a commercially valuable advertising channel while continuing to grow its other businesses, including cloud computing and productivity software.

8. 📊 Beginner’s investment checklist: What should I look at?

Here is how I would compare the companies when evaluating digital advertising as an investment theme.

Company Main opportunity What I would monitor

Meta Social ads, messaging and wearable AI Advertising growth, margins, engagement and glasses adoption

Google (Alphabet) Search, shopping and AI search ads Search revenue, advertiser returns and AI monetisation

Microsoft Bing, Copilot and advertising technology Advertising growth, AI usage and commercial returns

OpenAI Advertising within AI conversations Advertiser demand, user trust and advertising economics

These are areas to investigate, not a ranking of which stock will perform best.

I would also examine valuation. A company can have a strong advertising business and still be an unattractive investment if its share price already assumes years of exceptional growth.

Other useful measures include:

* Revenue growth and operating margins.

* Advertising prices and the number of advertisements delivered.

* Conversion rates and return on advertising spend.

* Capital expenditure and AI infrastructure costs.

* Competition, privacy rules and customer trust.

For Meta in particular, I would separately assess the established advertising business and the potential returns from investing in smart glasses and AI. A promising hardware product does not necessarily produce immediate advertising profits.

9. ⚠️ The biggest risks beginners should not ignore

Risk 1: Advertising budgets can weaken. If the economy slows, businesses may reduce marketing spending, affecting advertising revenue.

Risk 2: AI can disrupt existing business models. New search experiences could create opportunities for advertisers, but they may also reduce website clicks or change how consumers discover brands.

Risk 3: Competition can increase. Meta, Google, Microsoft and emerging AI companies are competing for consumer attention and advertiser budgets.

Risk 4: AI investment is expensive. Data centres, chips, model development and energy consumption can require substantial spending. Revenue growth is not the same as profit growth.

Risk 5: Regulatory and privacy concerns. Advertising systems rely on data and targeting capabilities. Changes to privacy rules or platform policies could affect how businesses reach customers.

10. 🐶 My conclusion: Follow the money, not just the hype

I see digital advertising as an important business model connecting several major technology trends.

Google helps businesses reach people actively searching for answers. Meta helps businesses discover potential customers through Facebook, Instagram and messaging. Ray-Ban smart glasses could give Meta a new consumer-facing AI platform, while Microsoft’s Copilot and OpenAI’s ChatGPT demonstrate how advertising may expand into conversational experiences.

But I would not assume that every new AI product will become a profitable advertising business.

For me, the most important question is simple: Can the company help advertisers generate enough additional sales to justify spending more money on its platform?

If the answer is yes, advertising can become a powerful revenue engine. If the answer is no, even impressive technology may struggle to produce attractive financial returns.

That is the foundation I would use before moving on to Part 2, where I would compare the advertising business models, financial metrics and competitive advantages of Meta, Google and Microsoft in greater detail.

Educational content only, not a recommendation to buy or sell any stock.

Sources for further reading

* Meta Platforms — Ray-Ban Meta glasses and LISA collaboration⁠.

* Google — Advertising in AI Overviews⁠.

* Microsoft — AI Max for Search advertising⁠.

* OpenAI — Ads in ChatGPT: The Basics⁠.

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$Meta Platforms, Inc.(META)$  

$Alphabet(GOOG)$  

$Microsoft(MSFT)$  

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