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Google Watches For How Sites Fit Into Overall Internet via @sejournal, @martinibuster

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Google’s John Mueller answered a question about how long it takes for Google to recognize site quality. During the course of answering the question he mentioned something that bears a little more looking into and that’s the concept of how it’s important to Google to understand how a website fits into the context of the overall Internet.

How A Website Fits Into The Internet

John Mueller’s statement about how Google seeks to understand a website’s fit into the overall Internet as part of evaluating a site for quality is short on details, yet the emphasis he puts onto this and his statement that it can take months to complete the assessment implies that this is something important.

  • Is he talking about linking patterns?
  • Is he talking about the text of the content?

If it’s important to Google then it’s important for SEO.

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How Long Does It Take To Reassess A Website?

The person asking the question used the example of a site that goes down for a period of time and how long it might take Google to restore traffic and so-called “authority,” which isn’t something that Google uses.

This is the question about Google site quality:

“Are there any situations where Google negates a site’s authority that can’t be recovered, even if the cause has been rectified.

So, assuming that the cause was a short term turbulence with technical issues or content changes, how long for Google to reassess the website and fully restore authority, search position and traffic?

Does Google have a memory as such?”

How Google Determines Site Quality

Mueller first discusses the easy situation where a site goes down for a short period of time.

John Mueller’s answer:

“For technical things, I would say we pretty much have no memory in the sense that if we can’t crawl a website for awhile or if something goes missing for awhile and it comes back then we have that content again, we have that information again, we can show that again.

That’s something that pretty much picks up instantly again.

And this is something that I think we have to have because the Internet is sometimes very flaky and sometimes sites go offline for a week or even longer.

And they come back and it’s like nothing has changed but they fixed the servers.

And we have to deal with that and users are still looking for those websites.”

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Overall Quality And Relevance Of A Website

Mueller next discusses the more difficult problem for Google of understanding the overall quality of a site and especially this idea of how a site fits into the rest of the Internet.

Mueller continues:

“I think it’s a lot trickier when it comes to things around quality in general where assessing the overall quality and relevance of a website is not very easy.

It takes a lot of time for us to understand how a website fits in with regards to the rest of the Internet.

And that means on the one hand it takes a lot of time for us to recognize that maybe something is not as good as we thought it was.

Similarly, it takes a lot of time for us to learn the opposite again.

And that’s something that can easily take, I don’t know, a couple of months, a half a year, sometimes even longer than a half a year, for us to recognize significant changes in the site’s overall quality.

Because we essentially watch out for …how does this website fit in with the context of the overall web and that just takes a lot of time.

So that’s something where I would say, compared to technical issues, it takes a lot longer for things to be refreshed in that regard.”

The Context Of A Site Within The Overall Web

How a site fits into the context of the overall web seems like the forest as opposed to the trees.

As SEOs and publishers it seems we focus on the trees, headings, keywords, titles, site architecture, and inbound links.

But what about how the site fits into the rest of the Internet? Does that get considered? Is that a part of anyone’s internal site audit checklist?

Perhaps because the phrase, “how a site fits into the overall Internet” is very general and can encompass a lot, I suspect it’s not always the top consideration in a site audit or site planning.

Hypothetical Example Site A Site Quality Assessment

Let’s consider Example Site A. The phrase can mean, in the the context of links, the sites that link into Example Site A and what Example Site A links out to, and the interconnected network that creates and how it reflects in terms of topic and site quality.

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That interconnected network might consist of sites or pages that are related by topic. Or it could be associated with spam through the sites that Example Site A links out to.

John Mueller can also be referring to the content itself and how that content is different from other sites on a similar topic, how it includes more information, how the content is better or worse in comparison with other sites.

And what are those other sites? Are they in comparison with top ranked sites? Or just in comparison with all normal non-spam sites?

Mueller keeps referencing how Google tries to understand how a site fits within the overall web and it might be useful to know a little more.

Citation

Time It Takes For Google To Understand How Site Fits Into Overall Internet

Watch John Mueller discuss how Google evaluates site quality at the 22:37 minute second mark:

[embedded content]

Searchenginejournal.com

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1 Comment

  1. Truvic Online

    December 10, 2021 at 1:40 pm

    This blog post is really very interesting. as the strategy of writing a blog post is very well explained. This was such a well-written, easy and helpful blogThanks for the valuable, Information. Thank you and good luck with the upcoming Blog.

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What can ChatGPT do?

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ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster

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Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”

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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.

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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.

Citations

Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]

Searchenginejournal.com

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Survey says: Amazon, Google more trusted with your personal data than Apple is

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survey-says:-amazon,-google-more-trusted-with-your-personal-data-than-apple-is-–-phonearena
 

MacRumors reveals that more people feel better with their personal data in the hands of Amazon and Google than Apple’s. Companies that the public really doesn’t trust when it comes to their personal data include Facebook, TikTok, and Instagram.

The survey asked over 1,000 internet users in the U.S. how much they trusted certain companies such as Facebook, TikTok, Instagram, WhatsApp, YouTube, Google, Microsoft, Apple, and Amazon to handle their user data and browsing activity responsibly.

Amazon and Google are considered by survey respondents to be more trustworthy than Apple

Those surveyed were asked whether they trusted these firms with their personal data “a great deal,” “a good amount,” “not much,” or “not at all.” Respondents could also answer that they had no opinion about a particular company. 18% of those polled said that they trust Apple “a great deal” which topped the 14% received by Google and Amazon.

However, 39% said that they trust Amazon  by “a good amount” with Google picking up 34% of the votes in that same category. Only 26% of those answering said that they trust Apple by “a good amount.” The first two responses, “a great deal” and “a good amount,” are considered positive replies for a company. “Not much” and “not at all” are considered negative responses.

By adding up the scores in the positive categories,

Apple tallied a score of 44% (18% said it trusted Apple with its personal data “a great deal” while 26% said it trusted Apple “a good amount”). But that placed the tech giant third after Amazon’s 53% and Google’s 48%. After Apple, Microsoft finished fourth with 43%, YouTube (which is owned by Google) was fifth with 35%, and Facebook was sixth at 20%.

Rounding out the remainder of the nine firms in the survey, Instagram placed seventh with a positive score of 19%, WhatsApp was eighth with a score of 15%, and TikTok was last at 12%.

Looking at the scoring for the two negative responses (“not much,” or “not at all”), Facebook had a combined negative score of 72% making it the least trusted company in the survey. TikTok was next at 63% with Instagram following at 60%. WhatsApp and YouTube were both in the middle of the pact at 53% followed next by Google and Microsoft at 47% and 42% respectively. Apple and Amazon each had the lowest combined negative scores at 40% each.

74% of those surveyed called targeted online ads invasive

The survey also found that a whopping 82% of respondents found targeted online ads annoying and 74% called them invasive. Just 27% found such ads helpful. This response doesn’t exactly track the 62% of iOS users who have used Apple’s App Tracking Transparency feature to opt-out of being tracked while browsing websites and using apps. The tracking allows third-party firms to send users targeted ads online which is something that they cannot do to users who have opted out.

The 38% of iOS users who decided not to opt out of being tracked might have done so because they find it convenient to receive targeted ads about a certain product that they looked up online. But is ATT actually doing anything?

Marketing strategy consultant Eric Seufert said last summer, “Anyone opting out of tracking right now is basically having the same level of data collected as they were before. Apple hasn’t actually deterred the behavior that they have called out as being so reprehensible, so they are kind of complicit in it happening.”

The Financial Times says that iPhone users are being lumped together by certain behaviors instead of unique ID numbers in order to send targeted ads. Facebook chief operating officer Sheryl Sandberg says that the company is working to rebuild its ad infrastructure “using more aggregate or anonymized data.”

Aggregated data is a collection of individual data that is used to create high-level data. Anonymized data is data that removes any information that can be used to identify the people in a group.

When consumers were asked how often do they think that their phones or other tech devices are listening in to them in ways that they didn’t agree to, 72% answered “very often” or “somewhat often.” 28% responded by saying “rarely” or “never.”

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