![]() I then sent these URLs, with their rewritten titles over to my writers with the LTP "Outdoor Rug" keyword spreadsheet and they provided 100 word keyword-optimized blurbs for each rug.Īs you can see, LTP provides granular keyword research data.I then hand rewrote their product titles using LTP to source keywords that I then included like "plastic", "large", "patio carpet", "discount", "bamboo", etc. ![]() I used the LinkClump Chrome extension to scrape product URLs from an eCommerce store I'm an affiliate for and compiled them into a spreadsheet.Here's what the process looked like and how I used LTP. Recently I decided to do a long image-list post for "outdoor rugs". The search engines are trying to serve the most relevant content, so if someone is searching for a "discount patio rug", and my keyword research prompted me to include that content in my "Outdoor Rug" write-up, my site will have the opportunity to rank well and get traffic for that term. I'll then download the terms it produces into a spreadsheet and then send it along to my writers who can reference the list as they write and thematically incorporate the different terms into their content.Īs I've touched on in other posts, these keywords are like traffic pathways.
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