Classifying thousands of ads found with an ad spy tool using AI: niche, angle, and format in seconds
Camila Souza · 2026-10-07
Using Artificial Intelligence (AI) to classify ads can significantly speed up the process of analyzing and optimizing campaigns. Here are the key points for implementing this strategy.
Classification prompt
A good prompt should be clear and specific. For example, “Classify the ads into categories like niche, angle, and format.” Include examples for each category so the AI better understands the classifications you want. This makes the results more accurate and easier to get.
Cost per thousand ads
The cost of using an ad spy tool to find and classify ads can vary quite a bit. On average, you can expect to spend between R$ 50 and R$ 150 per thousand ads, depending on the complexity of the classification and the amount of data. Evaluate the cost-benefit in terms of the returns this classification could generate for your campaigns.
Useful fields
When using an ad spy tool to find ads, some fields are essential:
- Hook: the element that grabs the audience’s attention.
- Promise: what the ad promises to deliver to the consumer.
- Proof: evidence that backs up the promise, such as testimonials or case studies.
These fields help you understand what works and what doesn’t in each niche.
Common mistakes
Avoid these mistakes when classifying ads:
- Not clearly defining the categories: if X, then the AI may mix up the classifications.
- Ignoring data analysis: just finding ads isn’t enough; you need to interpret the classifications.
- Underestimating the importance of testing different angles: a good classification won’t guarantee results if you don’t test.
How FreeSpy does it
FreeSpy makes this process easier by finding ads in the Meta Ad Library. With tabs like Explore and Top Scaled, you can quickly identify ads that are performing well across different niches. The tool also lets you monitor stores and understand their product lineup, helping you decide which ads to focus on.
Classifying ads with AI doesn’t just save time—it can also provide valuable insights for optimization.
What numbers do you usually see when classifying ads in your niche?