AI helps medium-large website to improve their SEO performance?
Gary Yang
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I have a website with over 400 articles, and some of them cover similar topics or contain highly relevant content. While our SEO performance is already quite good, we want to improve it further. However, we lack the human resources to manually review each article for relevance and add internal links where appropriate.
I’m wondering if there are any AI tools that could help websites like ours manage this process.
Originally, I was considering building my own tool to address this issue.
My idea is to leverage a large language model combined with a RAG (Retrieval-Augmented Generation) system, possibly using something like Supabase, to manage and optimize a large website.
Does anyone know how to build tools like this?
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Gary Yang@gary_yang2
Looks like the LLM is not the best solution for this?
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LLMs could help improve SEO performance in a few ways - generating more optimized page titles, meta descriptions, alt tags etc to target keywords and get higher rankings. Also could help create more keyword-rich content in general to build relevance. But yeah, it's not a complete SEO solution on its own - still need to do keyword research, optimize site structure/speed, build quality backlinks. Combining LLMs with other SEO best practices and tools is probably the way to go for bigger sites looking to level up their organic search game.