Localised PDF’s - PDF’s

We will be using 2 types of PDFs in this process. 

Tier 1 are PDFs that you place on assets you have access to, high DA assets. Anything from cloud services to the likes of Drop Box, including decent document sharing sites. We are after a decent linking structure for these PDFs. 

Tier 2 are PDFs that you use a Fiverr gig for. They will be the last PDFs that are uploaded. We are after a diversification of providers for each PDF that is uploaded. This is important as by doing it this way we immediately have a hybrid system with diverse links to each of the assets linked within the PDFs. 

Here’s the important thing you need to remember. PDFs WILL be seen. They have to be of a certain standard. 

As an example. For my lead generation, how many leads will I obtain if my PDFs look like a dog’s breakfast. 

I’ll be going over what needs to be in the PDFs. How you produce your PDFs is up to you.

Each PDF has hidden information. Simply the content, the keywords and geographical information. This gives google enough information to rank the PDFs and with the aid of the mapping software, gives google enough to correctly position your PDFs where YOU want them to show up. 

Believe me, these damn things show up all over if you are not careful. 

Within all the PDFs we will have links to the google sites and YouTube videos. Hence they have to be produced first. Also the video channel, playlists, videos and thumbnails will be linked via images that have already been utilised. 

Then of importance is links to the mapping URLs within the PDFs. 

Tier 1 PDFs have mapping links for the google sites and YouTube videos. 

Tier 2 PDFs have those same links but also all the links to the TIER 1 PDFs you have uploaded, AND the links to their mapping software URLs. This is important. 

Things like channel icon image, thumbnails that you have uploaded etc. 

Obviously links to the likes of landing pages will also be incorporated. 

I hope you are beginning to see a very specific type of non linear linking structure emerging by now. 

With that overview done, next post is on the keywords and geographical locations data hidden in both the PDFs and google sites.