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What You Need To Know

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What You Need To Know

JavaScript (JS) is extremely popular in the ecommerce world because it helps create a seamless and user-friendly experience for shoppers.

Take, for instance, loading items on category pages, or dynamically updating products on the site using JS.

While this is great news for ecommerce sites, JavaScript poses several challenges for SEO pros.

Google is consistently working on improving its search engine, and a big part of its effort is dedicated to making sure its crawlers can access JavaScript content.

But, ensuring that Google seamlessly crawls JS sites isn’t easy.

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In this post, I’ll share everything you need to know about JS SEO for ecommerce and how you can improve your organic performance.

Let’s begin!

How JavaScript Works For Ecommerce Sites

When building an ecommerce site, developers use HTML for content and organization, CSS for design, and JavaScript for interaction with backend servers.

JavaScript plays three prominent roles within ecommerce websites.

1. Adding Interactivity To A Web Page

The objective of adding interactivity is to allow users to see changes based on their actions, like scrolling or filling out forms.

For instance: a product image changes when the shopper hovers the mouse over it. Or hovering the mouse makes the image rotate 360 degrees, allowing the shopper to get a better view of the product.

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All of this enhances user experience (UX) and helps buyers decide on their purchases.

JavaScript adds such interactivity to sites, allowing marketers to engage visitors and drive sales.

2. Connecting To Backend Servers

JavaScript allows better backend integration using Asynchronous JavaScript (AJAX) and Extensible Markup Language (XML).

It allows web applications to send and retrieve data from the server asynchronously while upholding UX.

In other words, the process doesn’t interfere with the display or behavior of the page.

Otherwise, if visitors wanted to load another page, they would have to wait for the server to respond with a new page. This is annoying and can cause shoppers to leave the site.

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So, JavaScript allows dynamic, backend-supported interactions – like updating an item and seeing it updated in the cart – right away.

Similarly, it powers the ability to drag and drop elements on a web page.

3. Web Tracking And Analytics

JavaScript offers real-time tracking of page views and heatmaps that tell you how far down people are reading your content.

For instance, it can tell you where their mouse is or what they clicked (click tracking).

This is how JS powers tracking user behavior and interaction on webpages.

How Do Search Bots Process JS?

Google processes JS in three stages, namely: crawling, rendering, and indexing.

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Image from Google Search Central, September 2022

As you can see in this image, Google’s bots put the pages in the queue for crawling and rendering. During this phase, the bots scan the pages to assess new content.

When a URL is retrieved from the crawl queue by sending an HTTP request, it first accesses your robots.txt file to check if you’ve permitted Google to crawl the page.

If it’s disallowed, the bots will ignore it and not send an HTTP request.

In the second stage, rendering, the HTML, CSS, and JavaScript files are processed and transformed into a format that can be easily indexed by Google.

In the final stage, indexing, the rendered content is added to Google’s index, allowing it to appear in the SERPs.

Common JavaScript SEO Challenges With Ecommerce Sites

JavaScript crawling is a lot more complex than traditional HTML sites.

The process is quicker in the case of the latter.

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Check out this quick comparison.

Traditional HTML Site Crawling JavaScript Crawling
1 Bots download the HTML file 1 Bots download the HTML file
2 They extract the links to add them to their crawl queue 2 They find no link in the source code because they are only injected after JS execution
3 They download the CSS files 3 Bots download CSS and JS files
4 They send the downloaded resources to Caffeine, Google’s indexer 4 Bots use the Google Web Rendering Service (WRS) to parse and execute JS
5 Voila! The pages are indexed 5 WRS fetches data from the database and external APIs
6 Content is indexed
7 Bots can finally discover new links and add them to the crawl queue

Thus, with JS-rich ecommerce sites, Google finds it tough to index content or discover links before the page is rendered.

In fact, in a webinar on how to migrate a website to JavaScript, Sofiia Vatulyak, a renowned JS SEO expert, shared,

“Though JavaScript offers several useful features and saves resources for the web server, not all search engines can process it. Google needs time to render and index JS pages. Thus, implementing JS while upholding SEO is challenging.”

Here are the top JS SEO challenges ecommerce marketers should be aware of.

Limited Crawl Budget

Ecommerce websites often have a massive (and growing!) volume of pages that are poorly organized.

These sites have extensive crawl budget requirements, and in the case of JS websites, the crawling process is lengthy.

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Also, outdated content, such as orphan and zombie pages, can cause a huge wastage of the crawl budget.

Limited Render Budget

As mentioned earlier, to be able to see the content loaded by JS in the browser, search bots have to render it. But rendering at scale demands time and computational resources.

In other words, like a crawl budget, each website has a render budget. If that budget is spent, the bot will leave, delaying the discovery of content and consuming extra resources.

Google renders JS content in the second round of indexing.

It’s important to show your content within HTML, allowing Google to access it.

first round of indexing URL pathwayImage from Google Search Central, September 2022

Go to the Inspect element on your page and search for some of the content. If you cannot find it there, search engines will have trouble accessing it.

Troubleshooting Issues For JavaScript Websites Is Tough

Most JS websites face crawlability and obtainability issues.

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For instance, JS content limits a bot’s ability to navigate pages. This affects its indexability.

Similarly, bots cannot figure out the context of the content on a JS page, thus limiting their ability to rank the page for specific keywords.

Such issues make it tough for ecommerce marketers to determine the rendering status of their web pages.

In such a case, using an advanced crawler or log analyzer can help.

Tools like Semrush Log File Analyzer, Google Search Console Crawl Stats, and JetOctopus, among others, offer a full-suite log management solution, allowing webmasters to better understand how search bots interact with web pages.

JetOctopus, for instance, has JS rendering functionality.

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Check out this GIF that shows how the tool views JS pages as a Google bot.

How google bot sees content on your pageScreenshot from JetOctopus, September 2022

Similarly, Google Search Console Crawl Stats shares a useful overview of your site’s crawl performance.

google search console crawl statsScreenshot from Google Search Console Crawl Stats, September 2022

The crawl stats are sorted into:

  • Kilobytes downloaded per day show the number of kilobytes bots download each time they visit the website.
  • Pages crawled per day shows the number of pages the bots crawl per day (low, average, or high).
  • Time spent downloading a page tells you the amount of time bots take to make an HTTP request for the crawl. Less time taken means faster crawling and indexing.

Client-Side Rendering On Default

Ecommerce sites that are built in JS frameworks like React, Angular, or Vue are, by default, set to client-side rendering (CSR).

With this setting, the bots will not be able to see what’s on the page, thus causing rendering and indexing issues.

Large And Unoptimized JS Files

JS code prevents critical website resources from loading quickly. This negatively affects UX and SEO.

Top Optimization Tactics For JavaScript Ecommerce Sites

1. Check If Your JavaScript Has SEO Issues

Here are three quick tests to run on different page templates of your site, namely the homepage, category or product listing pages, product pages, blog pages, and supplementary pages.

URL Inspection Tool

Access the Inspect URL report in your Google Search Console.

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GSC overviewScreenshot from Google Search Console, September 2022

Enter the URL you want to test.

enter URL to inspect in GSCScreenshot from Google Search Console, September 2022

Next, press View Tested Page and move to the screenshot of the page. If you see this section blank (like in this screenshot), Google has issues rendering this page.

GSC reports page issuesScreenshot from Google Search Console, September 2022

Repeat these steps for all of the relevant ecommerce page templates shared earlier.

Run A Google Search

Running a site search will help you determine if the URL is in Google’s index.

First, check the no-index and canonical tags. You want to ensure that your canonicals are self-referencing and there’s no index tag on the page.

Next, go to Google search and enter – Site:yourdomain.com inurl:your url

Basics Of JavaScript SEO For Ecommerce: What You Need To KnowScreenshot from search for [Site:target.com inurl:], Google, September 2022

This screenshot shows that Target’s “About Us” page is indexed by Google.

If there’s some issue with your site’s JS, you’ll either not see this result or get a result that’s similar to this, but Google will not have any meta information or anything readable.

 

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site search on googleScreenshot from search for [Site:made.com inurl:hallway], Google, September 2022
site search on googleScreenshot from search for [Site:made.com inurl:homewares], Google, September 2022

Go For Content Search

At times, Google may index pages, but the content is unreadable. This final test will help you assess if Google can read your content.

Gather a bunch of content from your page templates and enter it on Google to see the results.

Let’s take some content from Macy’s.

Macy's content

Screenshot from Macy’s, September 2022

Macy's contentScreenshot from search for [alfani essential capri pull-on with tummy control], Google, September 2022

No problems here!

But check out what happens with this content on Kroger. It’s a nightmare!

Kruger contentScreenshot from Kruger, September 2022
Kruger on google searchScreenshot from search for [score an $8 s’mores bunder when you buy 1 Hershey], Google, September 2022

Though spotting JavaScript SEO problems is more complex than this, these three tests will help you quickly assess if your ecommerce Javascript has SEO issues.

Follow these tests with a detailed JS website audit using an SEO crawler that can help identify if your website failed when executing JS, and if some code isn’t working properly.

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For instance, a few SEO crawlers have a list of features that can help you understand this in detail:

  • The “JavaScript performance” report offers a list of all the errors.
  • The “browser performance events” chart shows the time of lifecycle events when loading JS pages. It helps you identify the page elements that are the slowest to load.
  • The  “load time distribution” report shows the pages that are fast or slow. If you click on these data columns, you can further analyze the slow pages in detail.

2. Implement Dynamic Rendering

How your website renders code impacts how Google will index your JS content. Hence, you need to know how JavaScript rendering occurs.

Server-Side Rendering

In this, the rendered page (rendering of pages happens on the server) is sent to the crawler or the browser (client). Crawling and indexing are similar to HTML pages.

But implementing server-side rendering (SSR) is often challenging for developers and can increase server load.

Further, the Time to First Byte (TTFB) is slow because the server renders pages on the go.

One thing developers should remember when implementing SSR is to refrain from using functions operating directly in the DOM.

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Client-Side Rendering

Here, the JavaScript is rendered by the client using the DOM. This causes several computing issues when search bots attempt to crawl, render, and index content.

A viable alternative to SSR and CSR is dynamic rendering that switches between client and server-side rendered content for specific user agents.

It allows developers to deliver the site’s content to users who access it using JS code generated in the browser.

However, it presents only a static version to the bots. Google officially supports implementing dynamic rendering.

Google Search Central service to browser and crawlerImage from Google Search Central, September 2022

To deploy dynamic rendering, you can use tools like Prerender.io or Puppeteer.

These can help you serve a static HTML version of your Javascript website to the crawlers without any negative impact on CX.

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Dynamic rendering is a great solution for ecommerce websites that usually hold lots of content that change frequently or rely on social media sharing (containing embeddable social media walls or widgets).

3. Route Your URLs Properly

JavaScript frameworks use a router to map clean URLs. Hence, it is critical to update page URLs when updating content.

For instance, JS frameworks like Angular and Vue generate URLs with a hash (#) like www.example.com/#/about-us

Such URLs are ignored by Google bots during the indexing process. So, it is not advisable to use #.

Instead, use static-looking URLs like http://www.example.com/about-us

4. Adhere To The Internal Linking Protocol

Internal links help Google efficiently crawl the site and highlight the important pages.

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A poor linking structure can be harmful to SEO, especially for JS-heavy sites.

One common issue we’ve encountered is when ecommerce sites use JS for links that Google cannot crawl, such as onclick or button-type links.

Check this out:

<a href=”/important-link”onclick=”changePage(‘important-link’)”>Crawl this</a>

If you want Google bots to discover and follow your links, ensure they are plain HTML.

Google recommends interlinking pages using HTML anchor tags with href attributes and asks webmasters to avoid JS event handlers.

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5. Use Pagination

Pagination is critical for JS-rich ecommerce websites with thousands of products that retailers often opt to spread across several pages for better UX.

Allowing users to scroll infinitely may be good for UX, but isn’t necessarily SEO-friendly. This is because bots don’t interact with such pages and cannot trigger events to load more content.

Eventually, Google will reach a limit (stop scrolling) and leave. So, most of your content gets ignored, resulting in a poor ranking.

Make sure you use <a href> links to allow Google to see the second page of pagination.

For instance, use this:

<a href=”https://example.com/shoes/”>

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6. Lazy Load Images

Though Google supports lazy loading, it doesn’t scroll through content when visiting a page.

It resizes the page’s virtual viewport, making it longer during the crawling process. And because the  “scroll” event listener isn’t triggered, this content isn’t rendered.

Thus, if you have images below the fold, like most ecommerce websites, it’s critical to lazy load them, allowing Google to see all your content.

7. Allow Bots To Crawl JS

This may seem obvious, but on several occasions, we’ve seen ecommerce sites accidentally blocking JavaScript (.js) files from being crawled.

This will cause JS SEO issues, as the bots will not be able to render and index that code.

Check your robots.txt file to see if the JS files are open and available for crawling.

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8. Audit Your JS Code

Finally, ensure you audit your JavaScript code to optimize it for the search engines.

Use tools like Google Webmaster Tools, Chrome Dev Tools, and Ahrefs and an SEO crawler like JetOctopus to run a successful JS SEO audit.

Google Search Console

This platform can help you optimize your site and monitor your organic performance. Use GSC to monitor Googlebot and WRS activity.

For JS websites, GSC allows you to see problems in rendering. It reports crawl errors and issues notifications for missing JS elements that have been blocked for crawling.

Chrome Dev Tools

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These web developer tools are built into Chrome for ease of use.

The platform lets you inspect rendered HTML (or DOM) and the network activity of your web pages.

From its Network tab, you can easily identify the JS and CSS resources loaded before the DOM.

Chrome Dev ToolsScreenshot from Chrome Dev Tools, September 2022

Ahrefs

Ahrefs allows you to effectively manage backlink-building, content audits, keyword research, and more. It can render web pages at scale and allows you to check for JavaScript redirects.

You can also enable JS in Site Audit crawls to unlock more insights.

ahrefs add javascript for site auditScreenshot from Ahrefs, September 2022

The Ahrefs Toolbar supports JavaScript and shows a comparison of HTML to rendered versions of tags.

JetOctopus SEO Crawler And Log Analyzer

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JetOctopus is an SEO crawler and log analyzer that allows you to effortlessly audit common ecommerce SEO issues.

Since it can view and render JS as a Google bot, ecommerce marketers can solve JavaScript SEO issues at scale.

Its JS Performance tab offers comprehensive insights into JavaScript execution – First Paint, First Contentful Paint, and page load.

It also shares the time needed to complete all JavaScript requests with the JS errors that need immediate attention.

GSC integration with JetOctopus can help you see the complete dynamics of your site performance.

Ryte UX Tool

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Ryte is another tool that’s capable of crawling and checking your javascript pages. It will render the pages and check for errors, helping you troubleshoot issues and check the usability of your dynamic pages.

seoClarity

seoClarity is an enterprise platform with many features. Like the other tools, it features dynamic rendering, letting you check how the javascript on your website performs.

Summing Up

Ecommerce sites are real-world examples of dynamic content injected using JS.

Hence, ecommerce developers rave about how JS lets them create highly interactive ecommerce pages.

On the other hand, many SEO pros dread JS because they’ve experienced declining organic traffic after their site started relying on client-side rendering.

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Though both are right, the fact is that JS-reliant websites too can perform well in the SERP.

Follow the tips shared in this guide to get one step closer to leveraging JavaScript in the most effective way possible while upholding your site’s ranking in the SERP.

More resources:


Featured Image: Visual Generation/Shutterstock



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How Compression Can Be Used To Detect Low Quality Pages

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Compression can be used by search engines to detect low-quality pages. Although not widely known, it's useful foundational knowledge for SEO.

The concept of Compressibility as a quality signal is not widely known, but SEOs should be aware of it. Search engines can use web page compressibility to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords, making it useful knowledge for SEO.

Although the following research paper demonstrates a successful use of on-page features for detecting spam, the deliberate lack of transparency by search engines makes it difficult to say with certainty if search engines are applying this or similar techniques.

What Is Compressibility?

In computing, compressibility refers to how much a file (data) can be reduced in size while retaining essential information, typically to maximize storage space or to allow more data to be transmitted over the Internet.

TL/DR Of Compression

Compression replaces repeated words and phrases with shorter references, reducing the file size by significant margins. Search engines typically compress indexed web pages to maximize storage space, reduce bandwidth, and improve retrieval speed, among other reasons.

This is a simplified explanation of how compression works:

  • Identify Patterns:
    A compression algorithm scans the text to find repeated words, patterns and phrases
  • Shorter Codes Take Up Less Space:
    The codes and symbols use less storage space then the original words and phrases, which results in a smaller file size.
  • Shorter References Use Less Bits:
    The “code” that essentially symbolizes the replaced words and phrases uses less data than the originals.

A bonus effect of using compression is that it can also be used to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords.

Research Paper About Detecting Spam

This research paper is significant because it was authored by distinguished computer scientists known for breakthroughs in AI, distributed computing, information retrieval, and other fields.

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Marc Najork

One of the co-authors of the research paper is Marc Najork, a prominent research scientist who currently holds the title of Distinguished Research Scientist at Google DeepMind. He’s a co-author of the papers for TW-BERT, has contributed research for increasing the accuracy of using implicit user feedback like clicks, and worked on creating improved AI-based information retrieval (DSI++: Updating Transformer Memory with New Documents), among many other major breakthroughs in information retrieval.

Dennis Fetterly

Another of the co-authors is Dennis Fetterly, currently a software engineer at Google. He is listed as a co-inventor in a patent for a ranking algorithm that uses links, and is known for his research in distributed computing and information retrieval.

Those are just two of the distinguished researchers listed as co-authors of the 2006 Microsoft research paper about identifying spam through on-page content features. Among the several on-page content features the research paper analyzes is compressibility, which they discovered can be used as a classifier for indicating that a web page is spammy.

Detecting Spam Web Pages Through Content Analysis

Although the research paper was authored in 2006, its findings remain relevant to today.

Then, as now, people attempted to rank hundreds or thousands of location-based web pages that were essentially duplicate content aside from city, region, or state names. Then, as now, SEOs often created web pages for search engines by excessively repeating keywords within titles, meta descriptions, headings, internal anchor text, and within the content to improve rankings.

Section 4.6 of the research paper explains:

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“Some search engines give higher weight to pages containing the query keywords several times. For example, for a given query term, a page that contains it ten times may be higher ranked than a page that contains it only once. To take advantage of such engines, some spam pages replicate their content several times in an attempt to rank higher.”

The research paper explains that search engines compress web pages and use the compressed version to reference the original web page. They note that excessive amounts of redundant words results in a higher level of compressibility. So they set about testing if there’s a correlation between a high level of compressibility and spam.

They write:

“Our approach in this section to locating redundant content within a page is to compress the page; to save space and disk time, search engines often compress web pages after indexing them, but before adding them to a page cache.

…We measure the redundancy of web pages by the compression ratio, the size of the uncompressed page divided by the size of the compressed page. We used GZIP …to compress pages, a fast and effective compression algorithm.”

High Compressibility Correlates To Spam

The results of the research showed that web pages with at least a compression ratio of 4.0 tended to be low quality web pages, spam. However, the highest rates of compressibility became less consistent because there were fewer data points, making it harder to interpret.

Figure 9: Prevalence of spam relative to compressibility of page.

The researchers concluded:

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“70% of all sampled pages with a compression ratio of at least 4.0 were judged to be spam.”

But they also discovered that using the compression ratio by itself still resulted in false positives, where non-spam pages were incorrectly identified as spam:

“The compression ratio heuristic described in Section 4.6 fared best, correctly identifying 660 (27.9%) of the spam pages in our collection, while misidentifying 2, 068 (12.0%) of all judged pages.

Using all of the aforementioned features, the classification accuracy after the ten-fold cross validation process is encouraging:

95.4% of our judged pages were classified correctly, while 4.6% were classified incorrectly.

More specifically, for the spam class 1, 940 out of the 2, 364 pages, were classified correctly. For the non-spam class, 14, 440 out of the 14,804 pages were classified correctly. Consequently, 788 pages were classified incorrectly.”

The next section describes an interesting discovery about how to increase the accuracy of using on-page signals for identifying spam.

Insight Into Quality Rankings

The research paper examined multiple on-page signals, including compressibility. They discovered that each individual signal (classifier) was able to find some spam but that relying on any one signal on its own resulted in flagging non-spam pages for spam, which are commonly referred to as false positive.

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The researchers made an important discovery that everyone interested in SEO should know, which is that using multiple classifiers increased the accuracy of detecting spam and decreased the likelihood of false positives. Just as important, the compressibility signal only identifies one kind of spam but not the full range of spam.

The takeaway is that compressibility is a good way to identify one kind of spam but there are other kinds of spam that aren’t caught with this one signal. Other kinds of spam were not caught with the compressibility signal.

This is the part that every SEO and publisher should be aware of:

“In the previous section, we presented a number of heuristics for assaying spam web pages. That is, we measured several characteristics of web pages, and found ranges of those characteristics which correlated with a page being spam. Nevertheless, when used individually, no technique uncovers most of the spam in our data set without flagging many non-spam pages as spam.

For example, considering the compression ratio heuristic described in Section 4.6, one of our most promising methods, the average probability of spam for ratios of 4.2 and higher is 72%. But only about 1.5% of all pages fall in this range. This number is far below the 13.8% of spam pages that we identified in our data set.”

So, even though compressibility was one of the better signals for identifying spam, it still was unable to uncover the full range of spam within the dataset the researchers used to test the signals.

Combining Multiple Signals

The above results indicated that individual signals of low quality are less accurate. So they tested using multiple signals. What they discovered was that combining multiple on-page signals for detecting spam resulted in a better accuracy rate with less pages misclassified as spam.

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The researchers explained that they tested the use of multiple signals:

“One way of combining our heuristic methods is to view the spam detection problem as a classification problem. In this case, we want to create a classification model (or classifier) which, given a web page, will use the page’s features jointly in order to (correctly, we hope) classify it in one of two classes: spam and non-spam.”

These are their conclusions about using multiple signals:

“We have studied various aspects of content-based spam on the web using a real-world data set from the MSNSearch crawler. We have presented a number of heuristic methods for detecting content based spam. Some of our spam detection methods are more effective than others, however when used in isolation our methods may not identify all of the spam pages. For this reason, we combined our spam-detection methods to create a highly accurate C4.5 classifier. Our classifier can correctly identify 86.2% of all spam pages, while flagging very few legitimate pages as spam.”

Key Insight:

Misidentifying “very few legitimate pages as spam” was a significant breakthrough. The important insight that everyone involved with SEO should take away from this is that one signal by itself can result in false positives. Using multiple signals increases the accuracy.

What this means is that SEO tests of isolated ranking or quality signals will not yield reliable results that can be trusted for making strategy or business decisions.

Takeaways

We don’t know for certain if compressibility is used at the search engines but it’s an easy to use signal that combined with others could be used to catch simple kinds of spam like thousands of city name doorway pages with similar content. Yet even if the search engines don’t use this signal, it does show how easy it is to catch that kind of search engine manipulation and that it’s something search engines are well able to handle today.

Here are the key points of this article to keep in mind:

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  • Doorway pages with duplicate content is easy to catch because they compress at a higher ratio than normal web pages.
  • Groups of web pages with a compression ratio above 4.0 were predominantly spam.
  • Negative quality signals used by themselves to catch spam can lead to false positives.
  • In this particular test, they discovered that on-page negative quality signals only catch specific types of spam.
  • When used alone, the compressibility signal only catches redundancy-type spam, fails to detect other forms of spam, and leads to false positives.
  • Combing quality signals improves spam detection accuracy and reduces false positives.
  • Search engines today have a higher accuracy of spam detection with the use of AI like Spam Brain.

Read the research paper, which is linked from the Google Scholar page of Marc Najork:

Detecting spam web pages through content analysis

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New Google Trends SEO Documentation

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Google publishes new documentation for how to use Google Trends for search marketing

Google Search Central published new documentation on Google Trends, explaining how to use it for search marketing. This guide serves as an easy to understand introduction for newcomers and a helpful refresher for experienced search marketers and publishers.

The new guide has six sections:

  1. About Google Trends
  2. Tutorial on monitoring trends
  3. How to do keyword research with the tool
  4. How to prioritize content with Trends data
  5. How to use Google Trends for competitor research
  6. How to use Google Trends for analyzing brand awareness and sentiment

The section about monitoring trends advises there are two kinds of rising trends, general and specific trends, which can be useful for developing content to publish on a site.

Using the Explore tool, you can leave the search box empty and view the current rising trends worldwide or use a drop down menu to focus on trends in a specific country. Users can further filter rising trends by time periods, categories and the type of search. The results show rising trends by topic and by keywords.

To search for specific trends users just need to enter the specific queries and then filter them by country, time, categories and type of search.

The section called Content Calendar describes how to use Google Trends to understand which content topics to prioritize.

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Google explains:

“Google Trends can be helpful not only to get ideas on what to write, but also to prioritize when to publish it. To help you better prioritize which topics to focus on, try to find seasonal trends in the data. With that information, you can plan ahead to have high quality content available on your site a little before people are searching for it, so that when they do, your content is ready for them.”

Read the new Google Trends documentation:

Get started with Google Trends

Featured Image by Shutterstock/Luis Molinero

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All the best things about Ahrefs Evolve 2024

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All the best things about Ahrefs Evolve 2024

Hey all, I’m Rebekah and I am your Chosen One to “do a blog post for Ahrefs Evolve 2024”.

What does that entail exactly? I don’t know. In fact, Sam Oh asked me yesterday what the title of this post would be. “Is it like…Ahrefs Evolve 2024: Recap of day 1 and day 2…?” 

Even as I nodded, I couldn’t get over how absolutely boring that sounded. So I’m going to do THIS instead: a curation of all the best things YOU loved about Ahrefs’ first conference, lifted directly from X.

Let’s go!

OUR HUGE SCREEN

CONFERENCE VENUE ITSELF

It was recently named the best new skyscraper in the world, by the way.

 

OUR AMAZING SPEAKER LINEUP – SUPER INFORMATIVE, USEFUL TALKS!

 

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GREAT MUSIC

 

AMAZING GOODIES

 

SELFIE BATTLE

Some background: Tim and Sam have a challenge going on to see who can take the most number of selfies with all of you. Last I heard, Sam was winning – but there is room for a comeback yet!

 

THAT BELL

Everybody’s just waiting for this one.

 

STICKER WALL

AND, OF COURSE…ALL OF YOU!

 

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There’s a TON more content on LinkedIn – click here – but I have limited time to get this post up and can’t quite figure out how to embed LinkedIn posts so…let’s stop here for now. I’ll keep updating as we go along!



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