Delegating part of the work to neural networks seems very tempting, especially when new creatives are urgently needed, a landing page requires improvements, and reports are not ready yet. By 2026, so many different tools for these tasks have appeared that you can choose your set for every taste. But understanding which of them are truly necessary for the team is sometimes more difficult. Just getting a subscription is not enough.
Our partners CPAgetti studied which tools are discussed by specialists and looked at the capabilities of advertising platforms. Our goal is simple: which tasks can already be assigned to AI, and where a buyer is still needed. We will consider the preparation of creatives, localization, analytics, and the advertising campaigns themselves. We will also analyze how to understand if these new assistants bring profit.
Creatives
When applying successful solutions in other regions, you often have to re-create texts, images, and scripts. Neural networks can take on part of this work. For example, they can help with pictures and videos, suggest a different style, or several options for the beginning of a video. This helps avoid running the full production cycle every time.
It is better to set tasks in a way that makes it clear what exactly you want to test. For example, ask to change the first seconds of the video and the background, but leave the product itself and the offer conditions unchanged. Or ask to make several variants of the chosen script. This will give the team a basis for comparison, rather than a random set of new materials.
Here are a few tools that might be useful:
For preparing content based on a brief: ChatGPT and Claude will help write scripts. They will come up with headlines and suggest different ways of presentation.
For creating creatives: Higgsfield, Magnific, Comfy. These tools are suitable for creating images.
Video localization
When you enter new markets, just translating the text is not enough. You need to voice the material, fit into the video timing, and make sure everything on the screen matches the new voiceover. Artificial intelligence greatly simplifies these tasks.
We advise you to carefully check prices, currency, names, offer conditions, and any phrasing. This can affect user expectations.
Which tools are useful for localization:
ElevenLabs is used for voiceovers and dubbing.
Sync - for synchronizing lip movements with the new voiceover.
HeyGen can also be used to translate videos into other languages.
Reports and analytics
If you have many advertising campaigns, offers, and regional settings, collecting data and comparing metrics for different periods takes a lot of time. Finding differences is also difficult. ChatGPT and Claude have long been used for such tasks. You can upload data there and ask to conduct an initial analysis.
There are also narrower tools, for example, Optmyzr Sidekick. It helps parse advertising reports and gives advice. The developer himself warns that there may be mathematical errors or incorrect metric names. Therefore, even when working with a professional interface, you need to check the received answers.
Such an assistant can quickly find segments where performance has dropped. However, to understand the reasons, a complete picture is needed. If artificial intelligence notices a drop in conversion but does not know about changes in the call center's operation or the advertiser's conditions, its conclusions about traffic quality will only be assumptions.
In analytics, it is better to ask AI to show the found changes separately. It is also worth highlighting the assumed reasons and data that will help conduct a check.
Tools for analytics:
ChatGPT and Claude will help review exported data and come up with hypotheses.
Optmyzr Sidekick helps parse data from advertising accounts.
Landings and technical tasks
Tools with artificial intelligence, such as Cursor, speed up web page development. They help create new sections, make edits, adjust the design for mobile devices, or write auxiliary scripts. AI can offer ready-made solutions. Before applying them, it is important to check how everything will look and work for users. Make sure the page displays correctly on phones. Forms are submitted. Data is saved. Events reach the right systems.
Recommended tools:
Cursor is well suited for creating and editing landings.
Codex and Claude will help draw up a technical specification, explain the code, and prepare its individual parts.
Advertising campaign management
Now managing advertising using artificial intelligence has become a reality. Algorithms can be trusted when buying ads. For example, Google Smart Bidding already sets bids for conversions or their value. However, this is a system. It is created for specific tasks. It is not suitable for all cases.
Recommended tools:
Bïrch helps automate advertising operations according to set conditions.
Google Smart Bidding works to set bids for selected conversions or their value.
AI limitations
The hardest decisions, for example, when to stop a test, how much data is needed, or whether to increase advertising costs, are still made by a human. You need to consider not only the current cost of an action. It is also important to remember the delay in conversions, costs for creating materials, offer limits, and acceptable risk levels.
We advise trusting one person with budget approval, selecting test success criteria, checking conversion quality, and approving mass changes. Data collection, preparing advice, and executing pre-set rules can be gradually automated.
How can a small team understand that implementing AI truly brings profit?
It is best to start with a task that is often repeated and takes a lot of time. For example, preparing scripts, localization, daily reports, or modifying similar pages. This approach will help compare the process before and after implementation. This is easier than trying to rebuild the entire department at once.
When calculating ROI, you need to consider subscription costs, content generation, costs for corrections, and the employee's time for checking. Sometimes preparing content can cost more than the finished material.
Gradually expand access to AI. Start with reading data and preparing drafts. When the team learns to find AI errors and check its work, you can connect individual operations that require confirmation. At the same time, it is important to maintain control over expenses and key settings.
In the end, artificial intelligence is already helping in media buying. It speeds up material preparation, helps parse data, and takes on routine tasks. There are special tools with simple instructions. However, to fully trust AI to manage all processes, great confidence is needed. This is different from the situation when it just creates a video or a report. Therefore, for now, these tasks cannot be considered the same.
The CPAgetti team believes that artificial intelligence helps the team gain more time for testing, checking traffic quality, and developing working strategies. This method gives small teams the opportunity to gradually take on more tasks. At the same time, they continue to understand where the results come from and what processes can be expanded.
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