Searchlight is Aztek's marketing news roundup that brings together the week’s most relevant developments in marketing, search, AI, and digital strategy, all in one place. We update this article throughout the week with news we think is worth your time, along with context to help you understand what changed, why it matters, and what it could mean for your business.
This week's topics:
9/1: ChatGPT Is Becoming a Marketing Platform
ChatGPT took another step toward becoming more than an AI assistant this week. On August 31, the European Commission designated ChatGPT a Very Large Online Search Engine under the EU’s Digital Services Act. The designation applies to services that reach at least 45 million average monthly users in the European Union and brings additional requirements around transparency, algorithmic systems, and risk management.
For U.S. marketers, the specific European regulations are probably not the main takeaway here. The more interesting part is what the designation says about ChatGPT itself. Regulators are increasingly treating ChatGPT like a major search and discovery platform, and when you look at how the product has evolved, that makes sense.
ChatGPT Is Becoming a Marketing Platform
People are already using ChatGPT to research and make decisions about certain products and services. OpenAI has been building more commerce directly into that experience, including richer shopping results that allow users to compare products based on things like price, reviews, and features. Merchants can also provide product data to help ensure that information shown inside ChatGPT is current and complete.
Advertising is becoming part of the picture too. OpenAI began testing ChatGPT ads in the U.S. earlier this year and has since expanded the program internationally. The company says ads remain separate from ChatGPT’s answers, while product recommendations in its shopping experiences are selected independently rather than being sponsored placements.
Put those pieces together and ChatGPT starts looking less like a standalone AI tool and more like a marketing platform where research, discovery, digital advertising, and commerce can increasingly happen in the same environment.
AI Search Is Becoming a Real Discovery Channel
None of this means ChatGPT has replaced Google, or that businesses should suddenly rebuild their marketing strategy around AI search. It does, however, mean marketers should pay attention to how discovery behavior is changing. Someone researching a new software platform, comparing home improvement products, or trying to understand which professional service they need may increasingly start that process with an AI conversation rather than a traditional search results page.
For brands, that creates a familiar question in a new environment: What information does the platform have to work with when someone asks about your category? That is where the AI conversation quickly comes back to some very traditional marketing fundamentals.
Clear website content, accurate product and service information, brand credibility, and consistency across your digital presence matter. For retailers, structured product data is becoming especially relevant as AI platforms build more sophisticated shopping experiences.
What U.S. Businesses Should Do Now
Start by looking at the questions customers ask when they are researching your products or services. Consider whether your website actually answers those questions clearly. You'll also want to make sure important information about your company, offerings, and products is accurate and easy to understand.
Businesses experimenting with ChatGPT advertising should also keep paid visibility separate from organic visibility. Buying an ad does not replace the work required to make your brand useful and relevant when someone asks an AI system for an answer or recommendation.
Focus on the Fundamentals
The ChatGPT marketing platform is still taking shape, and there will likely be plenty of new features, experiments, and hype along the way. For now, businesses do not need to chase every development. The smarter move is to make sure their brands are clear, useful, and trustworthy wherever customers might discover them.
9/3: Where AI Helps Marketing Teams, and Where It Doesn’t
AI has already worked its way into the day-to-day marketing process for a lot of teams. It can speed up research, help generate ideas, analyze information, create first drafts, and handle work that used to take a surprising amount of manual effort.
The problem starts when saving time turns into handing over responsibility. Just because AI can perform some version of a marketing task doesn’t mean it should own the entire process. A more useful way to think about AI is to look at where it can remove friction from the work and where human judgment still makes the difference.
Where AI in Marketing Actually Helps
AI works especially well when the task is clearly defined and the person using it already has some idea of what a good result should look like. Research is a good example. Instead of starting with a blank page and a pile of sources, people can use AI to summarize information, compare themes across documents, or identify questions that deserve a closer look. It doesn’t necessarily replace the research itself, but it can make getting oriented much faster.
Brainstorming is another natural fit. AI can help explore campaign angles, headline options, content topics, or different ways to explain a complicated idea. Not every suggestion will be useful, and that’s fine. The benefit often comes from having more starting points to react to.
Some of the biggest time savings can come from even simpler work. Think about summarizing meeting transcripts, organizing notes, reformatting information, or adapting existing copy for another channel. These are tasks that take time but don’t always require deep strategic thinking.
That time savings is where AI can be especially valuable. Saving 20 minutes on a repetitive task isn’t exactly sexy on its own, but giving that time back to someone who can spend it solving a harder problem is.
Where AI Still Needs a Human in the Room
AI's limitations become more obvious when it moves from supporting a decision to making one. Human judgment still matters most when:
- Developing marketing strategy. AI can suggest tactics, but it may not understand important business context, such as sales challenges, upcoming launches, or leadership priorities.
- Maintaining brand voice. AI can write in an established voice, but it can’t reliably determine what makes that voice distinct without clear direction.
- Reviewing accuracy. AI can misread sources, miss context, or produce false information. The person publishing the work is still responsible for checking the final result.
Use AI to Remove Friction, Not Responsibility
Yes, marketing teams should experiment with AI. There are worthwhile opportunities to move through routine work faster, reduce repetitive tasks, and spend less time staring at a blank page. Used correctly, AI can help teams organize and create without taking over the parts of marketing that require experience and judgment.
The goal, however, shouldn’t be finding the maximum amount of marketing work that can be handed over to a model. Moving quickly is only helpful when the work is relevant and connected to a larger business objective. Automating a weak process or producing more generic content doesn’t make a marketing team more effective.
A better goal is figuring out where AI makes marketers more capable while keeping people responsible for the decisions that shape the work. That means using AI to reduce friction while marketers continue to set the strategy, understand the audience, protect the brand, and review what ultimately gets published.
