Tuesday, 1 September 2020

Googlebot Supports Brotli Compression

Gary Illyes from Google has confirmed that Googlebot does indeed support Brotli compression. Brotli is a data format specification for data streams compressed with a specific combination of the general-purpose LZ77 lossless compression algorithm, Huffman coding and 2nd order context modelling. Brotli is a compression algorithm developed by Google and works best for text compression.

Gary said on Twitter he spoke with the Googlebot team and they confirmed with him that Googlebot does support this compression format.

More importantly, the tweet looked incredibly tasty:

Brotli is fairly new, it was initially released on October 15, 2013, with a stable release only on October 28, 2018. You can learn more about it on Github.

Forum discussion at Twitter.

This marketing news is not the copyright of Scott.Services – please click here to see the original source of this article. Author: barry@rustybrick.com (Barry Schwartz)

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How to use super-resolution and improve onsite image quality

30-second summary:

  • There’s “super-resolution” technology that can greatly improve the quality of your website images.
  • Higher resolution images have multiple benefits, including being preferred by Google and being more likely to attract attention and be shared.
  • There are a few considerations before using super-resolution, including the impact it can create for on-site speed.
  • Fractl’s VP of Creative, Kristin Tynski, shares a concise instructional guide to help you understand super-resolution and how you can apply it to your images.
  • Find out how keeping abreast of this AI revolution will keep you ahead of the curve and help with digital marketing

A few years ago, “zoom and enhance” was an internet meme making fun of CSI-style shows using a technology that didn’t really exist. Taking a very low-resolution image and zooming in/enhancing it wasn’t something that could be done as depicted. 

However, in the last few years, new modern artificial intelligence (AI) models have changed that. The so-called “super-resolution” can now be done with pretty stunning results. Even better, the models and underlying code are open-sourced, meaning anyone can upscale their images using these new, state-of-the-art AI models.

I’m going to reveal how you can easily utilize this technology to automatically upscale your website images in bulk and why it can be beneficial.

The advantages of super-resolution

Super-resolution is probably best suited for e-commerce sites that don’t have super high-quality images and instead have small images provided by manufacturers, drop shippers or other ecommerce middlemen. 

Here’s a look at the kind of quality increase you could expect from this process.

Source: Imgur Album

You can see more full-size examples here. The differences are more apparent the larger the image is zoomed.

There are many potential benefits to super-resolution:

  • Google prefers unique/non-duplicate images that it hasn’t seen before. It seems likely that applying super-resolution to a stock image or an ecommerce image that is widely used by many sites (and exists many times in the index) might make that super-resolution image the canonical “best version” of that image online, possibly leading to improved ranking benefits. 
  • Higher resolution images are more often linked to and shared vs their lower-resolution counterparts. 
  • Higher resolution images are more likely to attract and retain the attention of visitors, likely leading to increased on-site engagement metrics (lower bounce rate, higher time on site, etc.), which are known to be important factors in search rankings. 

However, there are some other factors to consider before proceeding. Site speed is a key SEO ranking metric. Increasing image resolution typically also means increasing image size. The tradeoff between quality and image size is an important one, and you should have an idea of how upscaling images may impact page load times.

If you already have only high-quality images, as you should, upscaling likely isn’t worthwhile.

Super-resolution upscaling also doesn’t do particularly well with text. It can create artifacts that decrease overall image quality. However, it works much better for images without text.

Despite those caveats, if you still think the increase in quality would be useful for you like the examples below, keep reading.

Implementing super-resolution on your site’s images

This guide requires that you sign up for two APIs:

  1. SerpAPI – Used for scraping all indexed images from Google Image search 
  2. DeepAI Super Resolution – Used for performing the super-resolution enhancements on each image

While it’s possible to achieve what is outlined here without relying on paid APIs, it does drastically simplify the process for relatively inexpensive API usage rates. If you have an ongoing need for using super-resolution on your images, implementing these models from their open-source base code is probably your least expensive bet. 

Using super-resolution on your images

Here’s what to do:

  • Copy this Google Collaboratory notebook to your own drive. 
  • Replace Frac.tl with your own domain in the code in the fifth cell.  
  • Replace the API key in the fifth cell with the API key you get from SerpAPI.
  • Replace the API key in the seventh cell with the API key you get from DeepAI.org
  • Run each cell sequentially

The code does the following

  • Scrapes all Google Image results for the domain given and downloads them into the images folder
  • Gets the URL for each image in the image folder after they have been scraped and gives them to the Deepai.org super-resolution API
  • Gets the super-resolution images from the Deepai API and downloads them to the super images folder

Conclusion

We are now at a tipping point in the emergence and democratization of AI-driven models that can do magical things. Learning Python opens up a huge new world where open-source code and open-source trained models now give even programming novices the opportunity to leverage these technologies for a huge variety of digital marketing goals.

Keeping abreast of this AI revolution will not only keep you ahead of the curve but will also give you the opportunity to be among the first to apply these advancements in new and creative ways, addressing previously unaddressable problems and challenges in our space. 

Kristin Tynski is VP of Creative at Fractl, a prominent growth marketing agency that’s worked with Fortune 500 companies and boutique businesses.

This marketing news is not the copyright of Scott.Services – please click here to see the original source of this article. Author: Kristin Tynski

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Google My Business Requests Update Service Availability

If you login to your Google My Business listing, you may be notified by Google to click on the “Update Service Availability.” There Google is asking you to “let customers know that your business is open and which services you’re offering.”

The menu asks these three questions:

  • Is your business open? Your business is operating in some way — even if you’re only taking phone calls
  • Are you offering onsite services? Customers can visit the physical location of your business
  • Are you offering online appointments? Customers can attend real-time appointments with your business online

If you select yes to the last one, it also asks you to add an appointment link, if you have one.

Here is the confirmation after you submit it:

Clearly, Google is trying to get a handle on which businesses are opening now with the pandemic restrictions easing up.

Forum discussion at Twitter.

This marketing news is not the copyright of Scott.Services – please click here to see the original source of this article. Author: barry@rustybrick.com (Barry Schwartz)

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Google Image Search Licensable Badge Now Live With Updated Search Filters

In February, Google added a new licensable badge for image search as a beta while it tested out new structured data markup (with Search Console debugging reports). Well, now after months of testing, this new feature is live and images using this markup can see the licensable badge in the Google Image search results.

In addition to this, Google updates its “user rights” filter to let you filter by “creative commons licenses” or other “commercial and other licenses.”

Here is the new filter (click to enlarge):

click for full size

Here is the old filter (click to enlarge):

click for full size

Notice, the old version had labeled for reuse with modification, reuse, noncommerical resude with modification and noncommerical reuse.

The Google Webmaster blog has more of a technical overview but I don’t think any of it is new. I mean, that is outside of the technical docs page removing the “beta” label from it.

Forum discussion at Twitter.

This marketing news is not the copyright of Scott.Services – please click here to see the original source of this article. Author: barry@rustybrick.com (Barry Schwartz)

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Search Buzz Video Recap: Google EAT Scores, Content Accuracy, Bing Content Submission API & Much More

Another busy week, I start it off with the monthly Google webmaster report. Google said there is no such thing as an EAT score. Google said you cannot rent experts or specialists to improve your EAT. Google said some day, some where, machine written content might be okay with its webmaster guidelines. Google said content accuracy is a ranking factor, contradicting what it said before. Google said crawl spikes might be about algorithm updates, another contradictory statement. Bing is testing a new content submission API, which means no crawling needed. Google Search Console added two new video reports, for performance and enhancements. Google also sent out video markup Search Console notices. Google core updates are unrelated to bad links. Google said links do not expire. Google said you do not need third party link tools. Google said forcing a crawl to get Google to discover a link won’t help much. Google said the new link attributes are to help Google, not you. Google News now has a stricter bar to get into its index. Google Shopping Ads has user generated images product reviews. Google AdSense Auto ads now easier. Check out the vlog with Britney Muller this past week. This weeks video is sponsored by RankRanger, make sure to subscribe on YouTube to this channel. That was this past week in search at the Search Engine Roundtable.

Make sure to subscribe to our video feed or subscribe directly on iTunes to be notified of these updates and download the video in the background. Here is the YouTube version of the feed:


For the original iTunes version, click here.

Search Topics of Discussion:

Please do subscribe on YouTube or subscribe via iTunes or on your favorite RSS reader. Don’t forget to comment below with the right answer and good luck!

This marketing news is not the copyright of Scott.Services – please click here to see the original source of this article. Author: barry@rustybrick.com (Barry Schwartz)

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Page Authority 2.0 Is Coming This Month: What’s Changing and Why

Hey folks,

I’m Russ Jones, Adjunct Search Scientist with Moz, and I’m proud to announce that this month we’ll be releasing a terrific update to our metric, Page Authority (PA).

Although Page Authority hasn’t attracted the same attention as its sibling metric Domain Authority, PA has always correlated with SERPs much better than DA, serving as a strong predictor of ranking. While PA has always fluctuated with changes in the link graph, we’re introducing a whole new method of deriving the score.

Learn More About Page Authority 2.0

What’s changing

Long gone are the days of just counting backlinks a couple of ways and hoping they correlate well with SERPs. As Moz tends to do, we’re pioneering a new manner of calculating Page Authority to produce superior results. Here are some of the ways we’re changing things up:

The training set

In the past, we used SERPs alone to train the Page Authority model. While this method was simple and direct, it left much to be desired. Our first step in addressing the new Page Authority is redefining the training set altogether.

Instead of modeling Page Authority based on one page’s ability to outrank another page, we now train based on the cumulative value of a page based on a number of metrics including search traffic and CPC. While this is a bit of an oversimplification of what’s going on, this methodology allows us to better compare pages that don’t appear in the SERPs together.

For example, imagine Page A is on one topic and Page B is on another topic. Historically, our model wouldn’t get to compare these two pages because they never appear on the same SERP. This new methodology provides an abstract value to each page, such that they can be compared with any other page by the machine-learned model.

The re-training set

One of the biggest problems in building metrics is not what the models see, but what the models don’t see.

Think about this for a minute: what types of URLs don’t show up in the SERPs that the model will use to produce Page Authority? Well, for starters, there won’t be many images or other binary files. There also won’t be penalized pages. In order to address this problem, we now use a common solution of running the model, identifying outliers (high PA URLs which do not in fact have any search value), and then feeding those URLs back into the training set. We can then re-run the model such that it learns from its own mistakes. This can be repeated as many times as is necessary to reduce the number of outliers.

Ripping off the Band-Aid

Moz is always cognizant of the impact the changes to our metrics might have on our customers. There is a trade-off between continuity and accuracy. With Page Authority, we’re focusing on accuracy. This may cause larger-than-normal shifts in your Page Authority, so it’s more important than ever to think about Page Authority with respect to your competitors, not as a standalone number.

What actions should we take?

Communicate with stakeholders, team members, and clients about the update

Just like our upgrade to Domain Authority, some users will likely be surprised by changes in their PA. Make sure they understand that the new PA will be more accurate (and more useful!) and that the most important measurement is relative to their competitors. We won’t release a Page Authority which isn’t better than the previous version, so even if the results are disappointing, understand that you now have better insight than ever before into the performance of your pages in the SERPs.

Use PA as a relative metric, like DA

Page Authority is intrinsically comparative. A PA of 70 means nothing unless you know the PA of your competitors. It could be high enough to allow you to rank for every keyword you like, or it could be terribly low because your competitors are Wikipedia and Quora. The first thing you should do when analyzing the Page Authority of any URL is set it in the proper context of its competitor’s URLs.

Expect PA to keep pace with Google

Just as we announced with Domain Authority, we’re not going to launch the new PA and just let it go. Our intent is to continue to improve upon the model as we discover new and better features and models. This volatility will mostly affect pages with unnatural link profiles, but we would rather stay up-to-date with Google’s algorithms even if it means a bit of a bumpy ride.

When is it launching?

We’ll be rolling out the new Page Authority on September 30, 2020. Between now and then, we encourage you to explore our resources to help you prepare and facilitate conversations with clients and team members. Following the launch of the new PA, I’ll also be hosting a webinar on October 15 to discuss how to leverage the metric. We’re so excited about the new and improved PA and hope you’re looking forward to this update too.

If you have any questions, please comment below, reach out to me on Twitter @rjonesx, or email me at russ@moz.com.

To get prepared and learn more about the upcoming change to Page Authority, be sure to dig into our helpful resources:

Visit the PA Resource Center

This marketing news is not the copyright of Scott.Services – please click here to see the original source of this article. Author: rjonesx.

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Monday, 31 August 2020

Bing Tests Content Submission API Removing Crawling Requirement

Bing announced a pilot, a really early test, for a content submission API. The content submission API takes it a step further than Bing’s efforts to have you just submit URLs for crawling and indexing. Instead, this is you feeding Bing not just your URL but also all of its content, HTML, images, etc – so Bing does not need to crawl the page at all.

Here is the tweet of Fabrice Canel of Bing announcing it at PubCon:

Earlier this year, Bing was pushing webmasters to submit URLs you want them to crawl and index. Bing doesn’t want to do the discovery process, it is expensive and also impacts your servers.

But this is a level up – where Bing is asking you not just to save them on the discovery portion but also on them crawling the page at all. I assume Bing still crawls the page but it doesn’t have to.

There is no way I know of to be part of this pilot, it seems really locked down and being tested with a few publishers.

I just didn’t necessarily expect this to go this far with Bing.

I am not saying this is a bad thing for webmasters, but I doubt Google follow this approach any time soon.

Forum discussion at Twitter.

This marketing news is not the copyright of Scott.Services – please click here to see the original source of this article. Author: barry@rustybrick.com (Barry Schwartz)

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