Artificial Intelligence in ASO

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hasibaakterss3309
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Joined: Thu Jan 02, 2025 7:09 am

Artificial Intelligence in ASO

Post by hasibaakterss3309 »

When it comes to competitor analysis, you can simply go to the page, take a description of your main competitor, give it to ChatGPT and ask it to break it down into key features, target audience, model, and benefits. In a few minutes, you will receive information about the features and differences, which can significantly affect both your marketing strategy and your product development strategy.


You can also give ChatGPT a description of your taiwan telegram data app and ask it to find direct or indirect competitors. ChatGPT does a good job of this, finding competitors across different platforms and across the web that you may not have heard of. This gives you a complete picture of the market and helps you identify someone you may have missed. Using these cross-references, you can create a list of competitors. Then, by analyzing their descriptions, you can identify their key features and get a summary table that will help you make marketing and strategic decisions.

AI in ASO: Search Engine Optimization
Now for more technical information on how we use ASO in search engine optimization.

Artificial Intelligence in ASO

All search engine optimization starts with collecting the search engine kernel — relevant keywords, based on which we generate text metadata for the app. We can simply ask ChatGPT to output the main keyword queries for a certain category in different languages ​​to get a lot of ideas and better understand the niche and its search queries.

Artificial Intelligence in ASO

The next step is to see what keywords our competitors are already using in their descriptions . ChatGPT does a great job of this by generating a csv file that shows how many times each keyword is used in the competitor’s mobile app description. For us, as ASO specialists, this gives us a lot of insights: what keywords the competitor’s app is optimized for and what their optimization strategy is based on the frequency of use of these keywords in the text. We use this almost every day, which speeds up our work significantly, as we don’t have to manually search and count keywords in the descriptions.
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