Hello Matteo, I also need this feature too. For example, I am getting suggestions for a competitor, there are 5k keywords. I need to work on them, need to analyze them based on language, category, competitior, unrelevant etc. I will use ai to make all these operations. But I need to provide suggestions to ai. If popularity or difficulty is a problem. we can extract them and export suggestions only.
Hi Mehmet you can use the astro MCP server now for this, maybe is also more fast, what do you think? https://tryastro.app/docs/mcp/
I thought extract_competitors_keywords works differently than astro ui’s suggestions with app link. Because mcp doc is saying “using NLP”. I will try it today and will share results here. Thanks for the idea.
you have to use get_keyword_suggestions, the output you will receive will be a long list of keywords (the entire list that you find in the suggestion view), but you can still have them analyzed and then ask for only the most interesting ones to be added to your preferred country. This way, you should be able to create a complete workflow.
Great, thanks a lot!
I am able to fetch with get_keyword_suggestions. To fetch all suggestions, make sure the highPopularity filter is set to false.
Hi! Thanks for the feedback! Can you explain the specific use case to me better? Why would you want to copy them? Thanks! Matteo