Ads Are Coming to ChatGPT: New Features Found in the Android Code
Originally published in Turkish. Read the original →

Ad infrastructure code found in the latest beta of OpenAI's ChatGPT Android app points to a historic change in the platform's revenue model. What do SearchAdsCarousel and AdTarget reveal?
Since its launch, OpenAI's revolutionary AI chatbot ChatGPT has won users over with its "ad-free," "pure information" approach. Users escaped the sponsored content that occupies the top spots in Google searches and the SEO-friendly but hollow articles, and experienced the comfort of getting straight to the answer with ChatGPT. However, new code snippets discovered in the latest beta of the Android app (v1.2025.329) offer the strongest evidence yet that this "ad-free paradise" era is about to end.
According to the leaked information, OpenAI is quietly preparing the technical infrastructure to integrate ads into the platform. This is not just an interface update; it also heralds a fundamental and inevitable change in the revenue models of the AI industry. So what do these code snippets tell us, what will the ads look like and how will the user experience be affected? Here is everything we know in light of the leaks, along with projections for the future.
What Was Found in the Android Beta Code?
Experts who examine leaks and reverse-engineering work in the tech world identified specific variables, functions and UI (user interface) components belonging to an ad infrastructure in version v1.2025.329 of the ChatGPT Android app. This code shows that ads are no longer just an "idea" discussed in a board meeting; they have started being embedded into the app, meaning development is at an advanced stage.
The notable code snippets and their technical meaning:
1. SearchAd and Search Intent
One of the most frequent variables in the code is SearchAd. This naming suggests that ads will not appear inside random chats (for example, "Write me a poem" or "Debug this code"), but specifically when the ChatGPT Search feature is used. When a user makes a search with commercial intent (for example, "Best wireless headphones" or "Affordable hotels in Istanbul"), the system will detect that intent and fetch relevant ads. This is a strategy that aims to make ads "complementary" rather than "annoying."
2. SearchAdsCarousel: A Visual Experience
Perhaps the most concrete finding is the term SearchAdsCarousel. A "carousel" structure indicates that instead of being embedded in the text answer, ads will be shown above or below the answer as a horizontally scrollable strip.
Why does this format matter?
* Distinguishability: Users can easily tell the organic answer and the ad apart visually. * Rich Content: Instead of plain text links, rich media elements such as product images, prices and star ratings can be used. * Familiar Experience: It offers an experience similar to the "Shopping" ads we see in Google's mobile search results or carousel ads on Instagram, appealing to existing user habits.
3. AdTarget and Personalization
The "targeting" parameters at the heart of advertising have found their place in the code with the AdTarget variable. This confirms that the ads shown will not be random; they will be optimized according to the user's current conversation context, past interactions, location or (if permitted) personal data.
4. bazaar content
The term bazaar content, which appears in some lines, is quite interesting. "Bazaar" (marketplace) probably indicates that e-commerce content is treated as a special category. This may be a sign that OpenAI is working on direct product sales or affiliate models.
How Will the Ads Work? A User Scenario
Based on the leaks, let's imagine what an ad-supported ChatGPT experience would look like:
Scenario: A user asks, "Recommendations for laptops with long battery life to buy in 2025."
1. Analysis: ChatGPT understands that this question carries "commercial intent" and is a product search. 2. Search and Ad Request: While scanning the web for current information (Search), the system also queries the ad network (probably Bing Ads) for relevant laptop ads. 3. Presentation: * First, a horizontally scrollable strip appears on screen (SearchAdsCarousel). It contains sponsored product cards from brands like Dell, MacBook and Asus, with prices and images. * Right below it, ChatGPT's neutral and detailed review is listed with pros and cons. 4. Contextual Follow-up: When the user asks, "How much does the Dell model cost?", the system can this time show a specific ad card or purchase link with Dell's current price.
In this model, the ad does not manipulate the answer itself; it sits next to the answer as an "extra option."
OpenAI's Change of Strategy: From "Last Resort" to "Necessity"
In past interviews, OpenAI CEO Sam Altman took a rather distant, even critical stance on ads. In one interview he said he did not want to imagine a future with ads, and in another talk he described the combination of AI and ads as "uniquely unsettling" (distasteful). For Altman, advertising could only be a "last resort" for the company.
So what changed? Why turn to the "last resort"?
1. Unsustainable Operating Costs
Running AI models is incredibly expensive. Each query to massive models like GPT-4 consumes many times more compute and energy than a traditional Google search. Analysts estimate ChatGPT's daily operating cost at millions of dollars. Not earning direct revenue from free users makes this cost structure unsustainable in the long run.
2. The Need to Diversify Revenue
Relying only on "Plus" subscriptions ($20 per month) may not be enough to meet OpenAI's growth rate and investor expectations. It is a fact that the giants Google and Meta built their trillion-dollar empires on "advertising revenue." As OpenAI prepares for an IPO or larger investments, it has to diversify its revenue streams.
3. Intensifying Competition
OpenAI is no longer alone. Its rivals are experimenting with aggressive revenue models:
* Perplexity AI: Introduced a "Sponsored Follow-up Questions" model. Brands can sponsor follow-up questions users might ask. * Google: Protects its dominance in search by placing ads inside "AI Overviews."
In this competitive environment, it is getting harder for OpenAI to protect its market share and financial strength by staying "ad-free."
What Are the Rivals Doing?
To better understand ChatGPT's move, it helps to look at its rivals.
Perplexity AI's Approach: Perplexity plans to integrate ads not "into the answers" but "into the questions." For example, when a user asks "Best running shoes," a sponsored follow-up question such as "Why is Nike's new line so popular?" can appear below the answer. This is a more conversational approach that feels less like a "banner."
Google's Approach: Google embeds its huge ad network (Google Ads) directly into AI Overviews. If you are searching for a product, you see classic shopping ads labeled "Sponsored" right below or above the AI summary. OpenAI's leaked "Carousel" structure is closer to this Google approach than to Perplexity's.
User Privacy and Ethical Concerns
As always in the tech world, the arrival of ads brings "privacy" debates with it. But when it comes to AI assistants, these concerns run deeper.
* Privacy of Conversations: Users confide in ChatGPT, share health issues or discuss business plans. Using this data for ad targeting (for example, showing a therapy app ad to someone who says "I'm depressed") could push ethical boundaries. * The Neutrality Problem: The biggest fear is that ads will influence the AI's "truths." If a brand advertises with OpenAI, will ChatGPT praise that brand more than its rivals? OpenAI will probably commit to drawing a clear line between the "organic answer" and the "ad," but this doubt will always exist. * Hallucination Risk: AI is known to sometimes produce false information (hallucinate). What if the AI presents a false claim from an ad as "real information"? This creates a gray area in terms of legal liability.
When and for Whom?
For now, the features are "inactive" in the code. There is no official launch date from OpenAI. However, the fact that the code was added to the Android beta in such detail (UI components, targeting parameters) suggests that testing has started internally or within a very limited closed group.
Predictions:
1. Free Users First: Ads will most likely be rolled out first to Free users. This can be used as leverage to encourage users to pay a monthly fee and switch to the ad-free Plus/Team version. 2. Timing: The first quarter or first half of 2025 is a reasonable time for this feature to be rolled out gradually (first in certain countries, for example the US). 3. Platforms: The code was found on Android, but it is only a matter of time before this system comes to the iOS and web versions as well. "Cross-platform" reach is critical for advertisers.
Conclusion: Is the Free Lunch Over?
A cycle we have often seen in internet history is repeating: first build an audience by offering a great, free, ad-free service; then turn on ads to cover costs and make a profit. Facebook, Google, YouTube and now ChatGPT.
This leak in ChatGPT's Android app shows that in the AI era we have reached the limits of the "free service" model. As the ways we access information change, the ways we fund that access are evolving too.
Although an ad-supported ChatGPT may disappoint some loyal users, it may be an inevitable compromise for the sustainability of the technology and for billions of people to access information for free. What matters is whether OpenAI prioritizes "user trust" or "ad revenue" as it makes this transition. The code has been written; now it is time to see how it will be implemented.




