.@Aleyda's asked for it, so we'll make it! 😎
@LeeFootSEO and yours truly are working on a keyword clustering @streamlit app! 🎈🔥
Same goodies as in Lee's awesome Colab (see tweet below👇), just easier and faster to use!
Keep your eyes peeled for a release next week!
#SEO
Sign up to my #brightonseo talk to find out how your products can automatically subcategorise you Website whilst you wait. Includes code release to use on your or your client Websites. #python#ecommerceseo#technicalseo
Signup 👇 https://t.co/Dz3SspDYrU
Here's a thought... Hiring external copywriters to fill a list of agency supplied keyword gaps is probably not a great way to demonstrate E-A-T for #SEO#justsayin
Writing up and blogging all previous releases. Once that's done I'll start writing up some of the new stuff I've been sitting on.
A couple things ready to go:
1) An Actionable Striking Distance Report
2) An Automated Website Migration Tool
Here's a script to automatically map keywords from the site search report in GA to categories on your Website using @screamingfrog . I mentioned this at my #brightonseo talk so thought I'd share. Includes writeup & a Colab sheet to use on your own sites.
https://t.co/XRkWtRSzFY
Just came out of a @LeeFootSEO talk at #brightonseo. Such a great talk that I’d def recommend catching up on. If you don’t come away from it thinking about how you will apply it I’ll be shocked.
Thanks for coming to watch my #BrightonSEO talk! Here's the goodies to auto subcatorise your Website from your products with Python
Deck: https://t.co/s6OugHbbgu
Script Instructions & Download: https://t.co/sNFrj0LtC3
GitHub: https://t.co/s3O5Ars4m6
#seo#python Please RT!
Fantastic #python#seo script from our director Lee Foot (@LeeFootSEO). Automating a way to not only find striking distance keywords to target, but also automatically checking if those keywords appear across page content, meta and internal linking. #Boom!
https://t.co/dRgRS1pvyk
Just finished a #SEO#Python script which merges crawl data with the #ahrefs top pages report to show keywords which are in striking distance. (Pos 4-20 & > 100 vol). It checks if the KWs are found in the content, H1, Page Title & if its linked from the parent cat. Preformatted :
Here's a sample of the output made from ngramming product names - 41,730 AMSV and 69 new categories created from thin air.
Just need to brand it up and send to the client :D #python#ecommerceseo#seo
Made a script to crawl through an ecomm site's parent category, cluster the products within using ngrams to find new opportunities for sub-categorisation.
✔️ Accepts optional crawl file to filter out existing cats
✔️ Checks if 3+ products exist before recommending cat
✔️ Awesome