Hello friends,
What Is Image Optimization In Seo..?
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Hello friends,
What Is Image Optimization In Seo..?
Image optimization is about reducing the file size of your images as much as possible without sacrificing quality so that your page load times
Image optimization is the process of defining your images properly with the help of alt texts so that search engines know about your images and help rank them higher in search results.
Image optimization is process of optimizing your images while maintaining it visual quality.
Hey,
Image Optimization is the technique of on page SEO, this is required to maintain an image because images can be a factor of a slow website. Throw image optimisation we reduce the size of the image so that it won't affect website speed, img contain alt tag which counts in content relevancy img such be relevant to the content, alt tag (also a meta tag) keep the information about img which is placed.
What is Image Optimization and Why is it Important for a Website?
They say, “a picture is worth a thousand words” which is undoubtedly right. We love to interact with visuals rather than words. The importance of images on e-commerce, travel, and media websites have been increased over the time. According to HTTP Archive, on an average, around 64% of a website’s weight is comprised of images. If we are able to reduce the size of these images without reducing the image quality, then it will have a direct positive impact on page load speeds and user-experience of visitors on your websites.
As per Gomez and akamai.com, half of the users love sites which load in less than 2 seconds. If the page takes more than 3 seconds to load almost 40% of visitors tend to leave that site, thus increasing the bounce rate. Image optimization is the only solution for this problem.
What is Image Optimization?
Optimizing web images is a process of delivering the high-quality images in the right format, dimension, size, and resolution while keeping the smallest possible size. Image optimization can be done in different ways be it by resizing the images, caching or by compressing the size. Here comes ImageKit, an intelligent Image Optimization tool which optimizes images using intelligent compression algorithm. Combined with a global content delivery network (CDN) for faster delivery, it can improve your website performance significantly.
Image Optimization is the process of On Page SEO. In this you can describe the features of the images which helps users to know more about images.
Images optimization is a process of delivering the high-quality images in the right format, dimension, size, and resolution while keeping the smallest possible size.
Image optimization is the process of optimizing images like the Alt tag of the images. It will help search engine to read the images.
Image optimization in SEO is the optimization of images according to the rules of search engines.
use of alt tag for naming the images
small file size
good quality of images
relevant to the content
Thanks for knowledge sharing experts!
Image Optimization is one of the important factor in google ranking according to Google 200 ranking factors. We can define image optimization for SEO in terms of reducing the image size with high quality., In addition to this a proper file name, alt text, title, description and relevant caption for the image.
Image optimization is essential for maximizing your on-page SEO. Optimizing images for search increases the likelihood of searchers discovering your images and content. The benefits of image optimization include:
Decrease in page load time
Increase user engagement
Decrease bounce rate
Improve image search and shopping results (for e-commerce)
Image optimization is about reducing the file size of your images as much as possible without sacrificing quality so that your page load times remain low. It’s also about image SEO. That is, getting your product images and decorative images to rank on Google and other image search engines.
Image optimization is a function of lossy and lossless compression. Differences in image formats are due to the difference in how and which lossy and lossless algorithms are used to optimize the image.