Google images ranking factors
My infographic about the ranking factors for Google images search (2012) is old so I made a new one. This time I tried to make it more simple that those who have no idea about optimizing images for Google could also get an impression. What is really important, and what is only a „marginal factor“? The main question behind the infographic is: How could my image get a good ranking in Google Image Search?
Here it is – feel free to share and discuss …
Google images search ranking factors (Infographic by Martin Missfeldt)
Please click for a larger version.
For printing use this -> Printversion (1,4 MB).
This infographic is licensed under CreativeCommons-License CC-3.0-BY. You can share it if you like. Would be nice if you link to this page as the source :-) Me on Google+
About …
To make this clear: duplicate content of images (that means copies) is an important positive ranking factor :-)
I made some things more simple than they are. Of course seo for images is more difficult. The goal of this graphic is to give an introduction of the main principles. Google gives very rarely information about image search and the ranking factors. So this is based on many tests and a lot of experience with a lot of gallery. But of course a I may fail. So please give me and others a hint if you observed something different – or if your theory about Google image search is another one :-)
Here the german version.
More infographics by me
- How Google Glass works (infographic)
- What means Creative Commons? (Infographic)
- Google image search history (infographic)
- The History of SEO (Infographic)
- Video-Seo: youTube Ranking Factors (infographic)
- Google Search Ranking Factors 2012 ( infographic )
Google images ranking factors 2014
Category: Optimizing images | Author: Martin Missfeldt 5 Kommentare
exif data is very important for images
Really awesome.We can get some info from these.
I didn’t know that more copies of the image could result in better rankings. Must be the reason they developed the reverse image search technology in the first place.
Is there any data or a study you know of that covers this in more detail?