Ta kontakt med oss

SEO

The Only Shopify SEO Checklist You Need To Rank Your Site

Publicerad

The Only Shopify SEO Checklist You Need To Rank Your Site

When it comes to driving motivated traffic to your Shopify store, no other digital marketing strategy is as affordable or impactful as SEO.

For e-commerce retailers, taking the time to ensure your web pages are properly optimized can help increase your organic traffic, meaning more potential customers browsing your products.

Unlike Google Ads eller social media advertising, SEO strategies can drive site traffic to your Shopify website long after your ad budget runs out.

For this reason, leveraging SEO is one of the best digital investments a Shopify site owner can make.

What Is Shopify SEO?

Shopify SEO is the process of optimizing a Shopify website to perform better in search engine results.

Although SEO can be applied to any website, Shopify SEO is focused on helping e-commerce retailers who utilize the Shopify CMS to earn more keyword rankings and organic traffic.

Common SEO Challenges For E-Commerce Websites

In general, e-commerce websites are more likely to face certain challenges that can negatively impact search engine performance.

  • Thin Content: Google loves in-depth, long-form content. Because product pages tend toward thin content, it can be difficult to boost their rankings in search.
  • Duplicate Content: With multiple product pages that are so similar or auto-generated, many e-commerce websites face duplicate content issues.
  • Poor Site Architecture: Google likes to see an optimized site structure that users can easily navigate. With so many pages on their website, e-commerce retailers can easily suffer from poor site architecture signals.
  • Not Utilizing Schema: Products schema helps Google crawlers understand your products and promote them accordingly. Not utilizing schema is a huge mistake for Shopify retailers.

To make sure that your website doesn’t suffer from these common setbacks faced by e-commerce sites, the Shopify SEO checklist below is a great place to start.

Automated SEO Features In Shopify

The Shopify platform does have some SEO features built-in that ease some of the SEO workload on-site owners.

These features include:

  • Auto-generated “rel-canonical” tags: this feature helps avoid duplicate content penalties!
  • Auto-generated robots.txt and sitemap.xml files.
  • Automatic SSL certificates: Google prefers to rank secure pages with HTTPS protocols.
  • Auto-generated page titles that include the store’s name.

However, SEO is a vast and multidisciplinary field.

Counting on the Shopify platform alone to do the work of SEO for you is not going to produce the best results.

19 Must-Do Tasks On Your Shopify SEO Checklist

Remember that SEO is not a one-and-done process and will require work both when you initially set up your store and throughout the lifetime of your website.

The checklist below is organized by the type of optimization, but it can be easily completed “in order.”

Some of these steps are a one-time optimization, but the majority will need to be repeated whenever you add new products or pages to your online store.

General SEO

1. Invest In A Custom Domain

It’s generally better to invest in a custom domain and drop the “myshopify” from your URLs.

Why? Because the URL path is visible to users at the top of the SERP result. Custom domains look more professional and more enticing to users, and higher CTRs lead to better SEO performance.

Screenshot from Google Search, January 2022

You can buy custom domains from Shopify or any third-party domain provider.

Then, add your custom domain in the Settings > Domains menu of your Shopify account.

2. Choose A Fast And Responsive Theme

With last year’s page experience update, fast page speed and load times are non-negotiable if you want to rank well in Google.

Although flashier themes might be tempting, it is better to choose a theme that is optimized for speed and performance.

Your theme also needs to perform well on mobile devices, as Google will index the mobile versions of your web pages.

Screenshot of a shopify theme and speed reportScreenshot from Shopify, January 2022

You can get a sense of how fast your current Shopify store is in comparison to others in your dashboard or via your PageSpeed Insights report. If your scores are low, it’s likely impacting your ability to rank in top positions.

Consider another, more SEO-friendly theme.

Here is a list of some of the fastest themes on Shopify.

3. Setup Your Analytics Tools

Your Shopify Analytics dashboard will give you an overview of your e-commerce metrics.

However, you need to set up additional tools to better understand where your website traffic comes from and how users behave once arriving at your website from search.

Google Analytics and Google Search Console are must-haves for any site owner, and they are completely free to users.

After you create your accounts, here are some other key steps you’ll want to take:

4. Get Helpful Shopify SEO Apps

There are all sorts of Shopify SEO apps that can help ensure you are meeting SEO best practices across your web pages. Some of my favorites include:

  • Plug In SEO: Similar to Yoast SEO for WordPress and ensures best practices.
  • SEO Pro: Great for schema and more advanced optimizations.
  • Smart SEO: Very affordable option for lots of SEO value.

On-Page SEO

5. Do Your Keyword Research

Before you start optimizing your content, you need to identify which keywords have strong relevance to your products and will bring qualified traffic to your website.

There are hundreds to thousands of ways users might be searching for products like yours. A keyword tool allows you to discover what users are searching for.

Example of Keyword research for a shopify website using a keyword toolScreenshot from SearchAtlas, January 2022

Some of those keywords will be easier to rank for than others, and a part of your SEO work is identifying which keywords present the best opportunities for your store.

The most important keyword metrics to pay attention to are:

  • Search Volume: You want your keyword targets to get a reasonable number of searches per month, otherwise you’re optimizing for no one.
  • CPC: Higher CPCs represent stronger conversion potential. Higher CPCs are more common with commercial and transactional keywords.
  • Keyword Difficulty: Higher scores will mean the keywords are more difficult to rank for. Make sure you choose keyword targets where you can realistically rank on page 1.

Ideally, each web page in your Shopify store will be targeting a different keyword or keyword cluster.

For your product and category pages, optimize for keywords that show more transactional intent, as those users are more inclined to make a purchase.

For your blog posts, optimize for informational queries to capture searchers near the top of the funnel.

6. Optimize Your URLs

There are some URL best practices that are essential to improving your rankings in Google.

  • Keep it short and sweet.
  • Include your target keyword.
  • Avoid unnecessary words like and/or/the/etc..

You can easily edit the URL paths in the Search Engine Listing Preview at the bottom of any page in the Shopify CMS.

Screenshot of Search engine preview in Shopify Screenshot from Shopify, January 2022

7. Optimize Your Page Titles And Meta Descriptions

While you’re editing your Search Engine Listing, make sure you also optimize the other meta tags visible in your SERP result: the title tag and meta description.

You’ll want to follow best practices here as well by including your keywords and meeting SEO best practices, especially length – no more than 60 characters for your title tag and no more than 160 for your meta description.

Example of adding keyword into the page title in a shopify websiteScreenshot from Shopify, January 2022

Google looks to these pieces of metadata to understand what your content is about and when to promote it.

And because the meta description may also be visible as a search snippet (although not always), it can influence whether searchers click on your result.

Google is smart enough to understand the terms and phrases that have a semantic relationship to your primary keyword, so there is no need to stuff these on-page elements with the same keyword over and over again.

Your meta tags should read naturally and adequately describe the content on the page.

8. Use A Content Optimization Tool For Your Product Descriptions

Thin content on product pages can be a serious hindrance for e-commerce websites.

Make sure you take the time to craft original, descriptive product descriptions that include relevant keywords, synonyms, and related terms.

Optimized product description in ShopifyScreenshot from Shopify, January 2022
Screenshot of an content optimizer toolScreenshot from the SEO Content Assistant, January 2022

A content optimizer tool can help you identify which related keywords have the most SEO power and show strong relevance signals to your products.

Do your best to include them in a natural way to elevate the ranking potential of your product pages.

9. Optimize Your Alt Text

Your Shopify website likely has lots of images that showcase your products.

But remember, Google cannot see your images. It’s important you communicate to Google what those images are through descriptive file names and keyword-rich alt text.

Example of how to optimize alt text in ShopifyScreenshot from Shopify, January 2022

This also makes your Shopify website more accessible to users with visual impairments.

10. Create Blog Content To Target Long-Tail Queries

To capture users who are near the top of the sales funnel, create high-quality blog content that is optimized for relevant long-tail queries.

list of Blogs in shopify websiteScreenshot from Shopify, January 2022

By answering the questions users are asking about products like yours, you can build brand awareness and expertise.

It’s also a great way to increase the total number of keywords that your Shopify store ranks for.

Technical SEO

11. Create An SEO-Friendly Navigation Menu

Navigation menus help your users easily move throughout your online store. Not only will a SEO-friendly navigation menu look better to Google crawlers, but it will also create a better user experience.

Navigation Menu in ShopifyScreenshot from Shopify, January 2022

A few SEO tips for navigation:

  • Prioritize clear and easy navigation.
  • Take the time to make sure that your products are well organized into collections.
  • Keep your navigation consistent across the page.
  • Use the nav to help users easily contact you or your support team.

12. Leverage Internal Links

Your internal links accomplish a few things.

They keep users moving throughout your website, they help search engine crawlers understand your site architecture, and they distribute your PageRank across more of your site.

The majority of your Shopify website’s PageRank will be on your homepage, which is why the links you include in your nav menu should be strategic.

Navigation Menu of Shopify WebsiteScreenshot from macaronqueen.com, January 2022

Avoid sending link equity to items that are out-of-stock, seasonal, or are unlikely to rank well in search results due to thin or unoptimized content.

Instead, push PageRank toward pages that you want to elevate in search, like your primary category and collection pages.

13. Add The Products Schema

There are a few different ways to add structured data to your Shopify website, and which is best for you will be determined by how comfortable you are editing your website’s code. To add schema manually, go to Themes > Action > Edit Code.

You can use a schema generator tool to generate your markup and input all of the required properties.

Shopify users should consider using the following Product Schemas when applicable:

  • Aggregate rating.
  • Brand.
  • Category.
  • Color.
  • Dimensions.
  • Model.
  • Material.
  • Special offers.
  • Image.

If working in your HTML editor isn’t your jam, plenty of Shopify plugins have Products schema features and make the process simple.

14. Add Product Reviews

Positive reviews on your products can push users toward a click or purchase.

Download the Product Reviews app in the Shopify store to start leveraging product reviews. This app sends structured data information to Google so those yellow stars appear with your SERP result.

example of shoe's from Allbirds shopify store with product reviewsScreenshot from Google, January 2022

They can be game-changing in improving CTRs and generating more clicks to your store.

Off-Page SEO

15. Build Links To Your Shopify Site

You will also need to build off-site signals in order for Google to trust your online store and rank it in search results.

This is arguably the most difficult part of SEO because you don’t have control over whether a website chooses to link to yours.

However, there are some easy ways to start earning links:

  • Create high-quality content like blog posts and ask other site owners to link to it.
  • Get featured in gift guides or product roundups.
  • Guest blog on relevant sites.

16. Invest In Public Relations

Public relations and organic outreach are at the heart of link building and one of the best ways to earn high-quality links from authoritative websites.

If you don’t yet have the time or resources to do PR outreach, sign up for Help-A-Reporter Out (HARO). You’ll get daily emails from journalists and publishers looking to hear from experts or feature certain products.

Shopify Website Maintenance

17. Regularly Audit Your Website

Over time, your website will change. This occurs as you add or delete pages on your website, as your pages accrue backlinks, or as the landscape of search changes.

A regular website audit can help you determine which of your pages are performing the best in search and which are underperforming.

The insights provided from a website audit can help you identify key content, page experience, or authority issues that you need to prioritize and resolve.

18. Repair Broken Links

As you change up your product offering or items go out of stock, you will likely unpublish or delete pages of your Shopify Website.

If that page was linked to anywhere else on your website, you will create a “broken link.”

Google does not like to rank websites with excessive broken links, as it looks as if the website is not active and being properly taken care of.

Once a quarter, it’s a good idea to run a site crawler across the entirety of your website to identify broken links and repair them.

19. Study The Data And Iterate

As more users visit your online store, your analytics tools will provide you with loads of data about how they are behaving on your website, how they got there in the first place, and more.

Make sure to draw insights from that data to iterate on your keyword targeting, page content, internal linking, meta tags, and more.

Slutsats

Remember, SEO has a wonderful way of lowering customer-acquisition costs in the long term.

Learning the basics of Shopify SEO and taking the necessary steps can be all the difference in outranking and outperforming your competitors.

Follow the checklist above, and you’ll most likely see Google reward you with more keyword rankings and more site traffic.

Fler resurser:


Featured Image: Kaspars Grinvalds/Shutterstock




Källlänk

Klicka för att kommentera

Lämna ett svar

Din e-postadress kommer inte publiceras. Obligatoriska fält är märkta *

SEO

Google CEO Confirms AI Features Coming To Search “Soon”

Publicerad

Google CEO Confirms AI Features Coming To Search "Soon"

Google announced today that it will soon be rolling out AI-powered features in its search results, providing users with a new, more intuitive way to navigate and understand the web.

These new AI features will help users quickly understand the big picture and learn more about a topic by distilling complex information into easy-to-digest formats.

Google has a long history of using AI to improve its search results for billions of people.

The company’s latest AI technologies, such as LaMDA, PaLM, Imagen, and MusicLM, provide users with entirely new ways to engage with information.

Google is working to bring these latest advancements into its products, starting with search.

Statement From Google CEO Sundar Pichai

Sundar Pichai, CEO of Google and Alphabet, released a statement on Twitter about a conversational AI service that will be available in the coming weeks.

Bard, powered by LaMDA, is Google’s new language model for dialogue applications.

According to Pichai, Bard, which leverages Google’s vast intelligence and knowledge base, can deliver accurate and high-quality answers:

“In 2021, we shared next-gen language + conversation capabilities powered by our Language Model for Dialogue Applications (LaMDA). Coming soon: Bard, a new experimental conversational #GoogleAI service powered by LaMDA.

Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses. Today we’re opening Bard up to trusted external testers.

We’ll combine their feedback with our own internal testing to make sure Bard’s responses meet our high bar for quality, safety, and groundedness and we will make it more widely available in coming weeks. It’s early, we will launch, iterate and make it better.”

In Summary

Increasingly, people are turning to Google for deeper insights and understanding.

With the help of AI, Google can consolidate insights for questions where there is no one correct answer, making it easier for people to get to the core of what they are searching for.

In addition to the AI features being rolled out in search, Google is also introducing a new experimental conversational AI service called Bard. Powered by LaMDA, Bard will use Google’s vast intelligence and knowledge base to deliver accurate and high-quality answers to users.

Google continues demonstrating its commitment to making search more intuitive and effective for users. As Pichai said in his statement, the company will continue to launch, iterate, and improve these new offerings in the coming weeks and months.

Source: Google



Källlänk

Fortsätt läsa

SEO

Google Updates Structured Data Guidance To Clarify Supported Formats

Publicerad

Google Updates Structured Data Guidance To Clarify Supported Formats

Google updated the structured data guidance to better emphasize that all three structured data formats are acceptable to Google and also explain why JSON-LD is is recommended.

The updated Search Central page that was updated is the Supported Formats section of the Introduction to structured data markup in Google Search webpage.

The most important changes were to add a new section title (Supported Formats), and to expand that section with an explanation of supported structured data formats.

Three Structured Data Formats

Google supports three structured data formats.

  1. JSON-LD
  2. Microdata
  3. RDFa

But only one of the above formats, JSON-LD, is recommended.

According to the documentation, the other two formats (Microdata and RDFa) are still fine to use. The update to the documentation explains why JSON-LD is recommended.

Google also made a minor change to a title of a preceding section to reflect that the section addresses structured data vocabulary

The original section title, Structured data format, is now Structured data vocabulary and format.

Google added a section title the section that offers guidance on Google’s preferred structured data format.

This is also the section with the most additional text added to it.

New Supported Formats Section Title

The updated content explains why Google prefers the JSON-LD structured data format, while confirming that the other two formats are acceptable.

Previously this section contained just two sentences:

“Google Search supports structured data in the following formats, unless documented otherwise:

Google recommends using JSON-LD for structured data whenever possible.”

The updated section now has the following content:

“Google Search supports structured data in the following formats, unless documented otherwise.

In general, we recommend using a format that’s easiest for you to implement and maintain (in most cases, that’s JSON-LD); all 3 formats are equally fine for Google, as long as the markup is valid and properly implemented per the feature’s documentation.

In general, Google recommends using JSON-LD for structured data if your site’s setup allows it, as it’s the easiest solution for website owners to implement and maintain at scale (in other words, less prone to user errors).”

Structured Data Formats

JSON-LD is arguably the easiest structured data format to implement, the easiest to scale, and the most straightforward to edit.

Most, if not all, WordPress SEO and structured data plugins output JSON-LD structured data.

Nevertheless, it’s a useful update to Google’s structured data guidance in order to make it clear that all three formats are still supported.

Google’s documentation on the change can be read here.

Featured image by Shutterstock/Olena Zaskochenko



Källlänk

Fortsätt läsa

SEO

Ranking Factors & The Myths We Found

Publicerad

Ranking Factors & The Myths We Found

Yandex is the search engine with the majority of market share in Russia and the fourth-largest search engine in the world.

On January 27, 2023, it suffered what is arguably one of the largest data leaks that a modern tech company has endured in many years – but is the second leak in less than a decade.

In 2015, a former Yandex employee attempted to sell Yandex’s search engine code on the black market for around $30,000.

The initial leak in January this year revealed 1,922 ranking factors, of which more than 64% were listed as unused or deprecated (superseded and best avoided).

This leak was just the file labeled kernel, but as the SEO community and I delved deeper, more files were found that combined contain approximately 17,800 ranking factors.

When it comes to practicing SEO for Yandex, the guide I wrote two years ago, for the most part, still applies.

Yandex, like Google, has always been public with its algorithm updates and changes, and in recent years, how it has adopted machine learning.

Notable updates from the past two-three years include:

  • Vega (which doubled the size of the index).
  • Mimicry (penalizing fake websites impersonating brands).
  • Y1 update (introducing YATI).
  • Y2 update (late 2022).
  • Adoption of IndexNow.
  • A fresh rollout and assumed update of the PF filter.

On a personal note, this data leak is like a second Christmas.

Since January 2020, I’ve run an SEO news website as a hobby dedicated to covering Yandex SEO and search news in Russia with 600+ articles, so this is probably the peak event of the hobby site.

I’ve also spoken twice at the Optimization conference – the largest SEO conference in Russia.

This is also a good test to see how closely Yandex’s public statements match the codebase secrets.

In 2019, working with Yandex’s PR team, I was able to interview engineers in their Search team and ask a number of questions sourced from the wider Western SEO community.

You can read the interview with the Yandex Search team here.

Whilst Yandex is primarily known for its presence in Russia, the search engine also has a presence in Turkey, Kazakhstan, and Georgia.

The data leak was believed to be politically motivated and the actions of a rogue employee, and contains a number of code fragments from Yandex’s monolithic repository, Arcadia.

Within the 44GB of leaked data, there’s information relating to a number of Yandex products including Search, Maps, Mail, Metrika, Disc, and Cloud.

What Yandex Has Had To Say

As I write this post (January 31st, 2023), Yandex has publicly stated that:

the contents of the archive (leaked code base) correspond to the outdated version of the repository – it differs from the current version used by our services

And:

It is important to note that the published code fragments also contain test algorithms that were used only within Yandex to verify the correct operation of the services.

So, how much of this code base is actively used is questionable.

Yandex has also revealed that during its investigation and audit, it found a number of errors that violate its own internal principles, so it is likely that portions of this leaked code (that are in current use) may be changing in the near future.

Factor Classification

Yandex classifies its ranking factors into three categories.

This has been outlined in Yandex’s public documentation for some time, but I feel is worth including here, as it better helps us understand the ranking factor leak.

  • Static factors – Factors that are related directly to the website (e.g. inbound backlinks, inbound internal links, headers, and ads ratio).
  • Dynamic factors – Factors that are related to both the website and the search query (e.g. text relevance, keyword inclusions, TF*IDF).
  • User search-related factors – Factors relating to the user query (e.g. where is the user located, query language, and intent modifiers).

The ranking factors in the document are tagged to match the corresponding category, with TG_STATIC and TG_DYNAMIC, and then TG_QUERY_ONLY, TG_QUERY, TG_USER_SEARCH, and TG_USER_SEARCH_ONLY.

Yandex Leak Learnings So Far

From the data thus far, below are some of the affirmations and learnings we’ve been able to make.

There is so much data in this leak, it is very likely that we will be finding new things and making new connections in the next few weeks.

These include:

  • PageRank (a form of).
  • At some point Yandex utilized TF*IDF.
  • Yandex still uses meta keywords, which are also highlighted in its documentation.
  • Yandex has specific factors for medical, legal, and financial topics (YMYL).
  • It also uses a form of page quality scoring, but this is known (ICS score).
  • Links from high-authority websites have an impact on rankings.
  • There’s nothing new to suggest Yandex can crawl JavaScript yet outside of already publicly documented processes.
  • Server errors and excessive 4xx errors can impact ranking.
  • The time of day is taken into consideration as a ranking factor.

Below, I’ve expanded on some other affirmations and learnings from the leak.

Where possible, I’ve also tied these leaked ranking factors to the algorithm updates and announcements that relate to them, or where we were told about them being impactful.

MatrixNet

MatrixNet is mentioned in a few of the ranking factors and was announced in 2009, and then superseded in 2017 by Catboost, which was rolled out across the Yandex product sphere.

This further adds validity to comments directly from Yandex, and one of the factor authors DenPlusPlus (Den Raskovalov), that this is, in fact, an outdated code repository.

MatrixNet was originally introduced as a new, core algorithm that took into consideration thousands of ranking factors and assigned weights based on the user location, the actual search query, and perceived search intent.

It is typically seen as an early version of Google’s RankBrain, when they are indeed two very different systems. MatrixNet was launched six years before RankBrain was announced.

MatrixNet has also been built upon, which isn’t surprising, given it is now 14 years old.

In 2016, Yandex introduced the Palekh algorithm that used deep neural networks to better match documents (webpages) and queries, even if they didn’t contain the right “levels” of common keywords, but satisfied the user intents.

Palekh was capable of processing 150 pages at a time, and in 2017 was updated with the Korolyov update, which took into account more depth of page content, and could work off 200,000 pages at once.

URL & Page-Level Factors

From the leak, we have learned that Yandex takes into consideration URL construction, specifically:

  • The presence of numbers in the URL.
  • The number of trailing slashes in the URL (and if they are excessive).
  • The number of capital letters in the URL is a factor.
Screenshot from author, January 2023

The age of a page (document age) and the last updated date are also important, and this makes sense.

As well as document age and last update, a number of factors in the data relate to freshness – particularly for news-related queries.

Yandex formerly used timestamps, specifically not for ranking purposes but “reordering” purposes, but this is now classified as unused.

Also in the deprecated column are the use of keywords in the URL. Yandex has previously measured that three keywords from the search query in the URL would be an “optimal” result.

Internal Links & Crawl Depth

Whilst Google has gone on the record to say that for its purposes, crawl depth isn’t explicitly a ranking factor, Yandex appears to have an active piece of code that dictates that URLs that are reachable from the homepage have a “higher” level of importance.

Yandex factorsScreenshot from author, January 2023

This mirrors John Mueller’s 2018 statement that Google gives “a little more weight” to pages found more than one click from the homepage.

The ranking factors also highlight a specific token weighting for webpages that are “orphans” within the website linking structure.

Clicks & CTR

In 2011, Yandex released a blog post talking about how the search engine uses clicks as part of its rankings and also addresses the desires of the SEO pros to manipulate the metric for ranking gain.

Specific click factors in the leak look at things like:

  • The ratio of the number of clicks on the URL, relative to all clicks on the search.
  • The same as above, but broken down by region.
  • How often do users click on the URL for the search?

Manipulating Clicks

Manipulating user behavior, specifically “click-jacking”, is a known tactic within Yandex.

Yandex has a filter, known as the PF filter, that actively seeks out and penalizes websites that engage in this activity using scripts that monitor IP similarities and then the “user actions” of those clicks – and the impact can be significant.

The below screenshot shows the impact on organic sessions (сессии) after being penalized for imitating user clicks.

Image Source: Russian Search NewsImage from Russian Search News, January 2023

User Behavior

The user behavior takeaways from the leak are some of the more interesting findings.

User behavior manipulation is a common SEO violation that Yandex has been combating for years. At the 2020 Optimization conference, then Head of Yandex Webmaster Tools Mikhail Slevinsky said the company is making good progress in detecting and penalizing this type of behavior.

Yandex penalizes user behavior manipulation with the same PF filter used to combat CTR manipulation.

Dwell Time

102 of the ranking factors contain the tag TG_USERFEAT_SEARCH_DWELL_TIME, and reference the device, user duration, and average page dwell time.

All but 39 of these factors are deprecated.

Yandex factorsScreenshot from author, January 2023

Bing first used the term Dwell time in a 2011 blog, and in recent years Google has made it clear that it doesn’t use dwell time (or similar user interaction signals) as ranking factors.

YMYL

YMYL (Your Money, Your Life) is a concept well-known within Google and is not a new concept to Yandex.

Within the data leak, there are specific ranking factors for medical, legal, and financial content that exist – but this was notably revealed in 2019 at the Yandex Webmaster conference when it announced the Proxima Search Quality Metric.

Metrika Data Usage

Six of the ranking factors relate to the usage of Metrika data for the purposes of ranking. However, one of them is tagged as deprecated:

  • The number of similar visitors from the YandexBar (YaBar/Ябар).
  • The average time spent on URLs from those same similar visitors.
  • The “core audience” of pages on which there is a Metrika counter [deprecated].
  • The average time a user spends on a host when accessed externally (from another non-search site) from a specific URL.
  • Average ‘depth’ (number of hits within the host) of a user’s stay on the host when accessed externally (from another non-search site) from a particular URL.
  • Whether or not the domain has Metrika installed.

In Metrika, user data is handled differently.

Unlike Google Analytics, there are a number of reports focused on user “loyalty” combining site engagement metrics with return frequency, duration between visits, and source of the visit.

For example, I can see a report in one click to see a breakdown of individual site visitors:

MetrikaScreenshot from Metrika, January 2023

Metrika also comes “out of the box” with heatmap tools and user session recording, and in recent years the Metrika team has made good progress in being able to identify and filter bot traffic.

With Google Analytics, there is an argument that Google doesn’t use UA/GA4 data for ranking purposes because of how easy it is to modify or break the tracking code – but with Metrika counters, they are a lot more linear, and a lot of the reports are unchangeable in terms of how the data is collected.

Impact Of Traffic On Rankings

Following on from looking at Metrika data as a ranking factor; These factors effectively confirm that direct traffic and paid traffic (buying ads via Yandex Direct) can impact organic search performance:

  • Share of direct visits among all incoming traffic.
  • Green traffic share (aka direct visits) – Desktop.
  • Green traffic share (aka direct visits) – Mobile.
  • Search traffic – transitions from search engines to the site.
  • Share of visits to the site not by links (set by hand or from bookmarks).
  • The number of unique visitors.
  • Share of traffic from search engines.

News Factors

There are a number of factors relating to “News”, including two that mention Yandex.News directly.

Yandex.News was an equivalent of Google News, but was sold to the Russian social network VKontakte in August 2022, along with another Yandex product “Zen”.

So, it’s not clear if these factors related to a product no longer owned or operated by Yandex, or to how news websites are ranked in “regular” search.

Backlink Importance

Yandex has similar algorithms to combat link manipulation as Google – and has since the Nepot filter in 2005.

From reviewing the backlink ranking factors and some of the specifics in the descriptions, we can assume that the best practices for building links for Yandex SEO would be to:

  • Build links with a more natural frequency and varying amounts.
  • Build links with branded anchor texts as well as use commercial keywords.
  • If buying links, avoid buying links from websites that have mixed topics.

Below is a list of link-related factors that can be considered affirmations of best practices:

  • The age of the backlink is a factor.
  • Link relevance based on topics.
  • Backlinks built from homepages carry more weight than internal pages.
  • Links from the top 100 websites by PageRank (PR) can impact rankings.
  • Link relevance based on the quality of each link.
  • Link relevance, taking into account the quality of each link, and the topic of each link.
  • Link relevance, taking into account the non-commercial nature of each link.
  • Percentage of inbound links with query words.
  • Percentage of query words in links (up to a synonym).
  • The links contain all the words of the query (up to a synonym).
  • Dispersion of the number of query words in links.

However, there are some link-related factors that are additional considerations when planning, monitoring, and analyzing backlinks:

  • The ratio of “good” versus “bad” backlinks to a website.
  • The frequency of links to the site.
  • The number of incoming SEO trash links between hosts.

The data leak also revealed that the link spam calculator has around 80 active factors that are taken into consideration, with a number of deprecated factors.

This creates the question as to how well Yandex is able to recognize negative SEO attacks, given it looks at the ratio of good versus bad links, and how it determines what a bad link is.

A negative SEO attack is also likely to be a short burst (high frequency) link event in which a site will unwittingly gain a high number of poor quality, non-topical, and potentially over-optimized links.

Yandex uses machine learning models to identify Private Blog Networks (PBNs) and paid links, and it makes the same assumption between link velocity and the time period they are acquired.

Typically, paid-for links are generated over a longer period of time, and these patterns (including link origin site analysis) are what the Minusinsk update (2015) was introduced to combat.

Yandex Penalties

There are two ranking factors, both deprecated, named SpamKarma and Pessimization.

Pessimization refers to reducing PageRank to zero and aligns with the expectations of severe Yandex penalties.

SpamKarma also aligns with assumptions made around Yandex penalizing hosts and individuals, as well as individual domains.

Onpage Advertising

There are a number of factors relating to advertising on the page, some of them deprecated (like the screenshot example below).

Yandex factorsScreenshot from author, January 2023

It’s not known from the description exactly what the thought process with this factor was, but it could be assumed that a high ratio of adverts to visible screen was a negative factor – much like how Google takes umbrage if adverts obfuscate the page’s main content, or are obtrusive.

Tying this back to known Yandex mechanisms, the Proxima update also took into consideration the ratio of useful and advertising content on a page.

Can We Apply Any Yandex Learnings To Google?

Yandex and Google are disparate search engines, with a number of differences, despite the tens of engineers who have worked for both companies.

Because of this fight for talent, we can infer that some of these master builders and engineers will have built things in a similar fashion (though not direct copies), and applied learnings from previous iterations of their builds with their new employers.

What Russian SEO Pros Are Saying About The Leak

Much like the Western world, SEO professionals in Russia have been having their say on the leak across the various Runet forums.

The reaction in these forums has been different to SEO Twitter and Mastodon, with a focus more on Yandex’s filters, and other Yandex products that are optimized as part of wider Yandex optimization campaigns.

It is also worth noting that a number of conclusions and findings from the data match what the Western SEO world is also finding.

Common themes in the Russian search forums:

  • Webmasters asking for insights into recent filters, such as Mimicry and the updated PF filter.
  • The age and relevance of some of the factors, due to author names no longer being at Yandex, and mentions of long-retired Yandex products.
  • The main interesting learnings are around the use of Metrika data, and information relating to the Crawler & Indexer.
  • A number of factors outline the usage of DSSM, which in theory was superseded by the release of Palekh in 2016. This was a search algorithm utilizing machine learning, announced by Yandex in 2016.
  • A debate around ICS scoring in Yandex, and whether or not Yandex may provide more traffic to a site and influence its own factors by doing so.

The leaked factors, particularly around how Yandex evaluates site quality, have also come under scrutiny.

There is a long-standing sentiment in the Russian SEO community that Yandex oftentimes favors its own products and services in search results ahead of other websites, and webmasters are asking questions like:

Why does it bother going to all this trouble, when it just nails its services to the top of the page anyway?

In loosely translated documents, these are referred to as the Sorcerers or Yandex Sorcerers. In Google, we’d call these search engine results pages (SERPs) features – like Google Hotels, etc.

In October 2022, Kassir (a Russian ticket portal) claimed ₽328m compensation from Yandex due to lost revenue, caused by the “discriminatory conditions” in which Yandex Sorcerers took the customer base away from the private company.

This is off the back of a 2020 class action in which multiple companies raised a case with the Federal Antimonopoly Service (FAS) for anticompetitive promotion of its own services.

Fler resurser:


Featured Image: FGC/Shutterstock



Källlänk

Fortsätt läsa

Trendigt

sv_SESvenska