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Why You Shouldn’t Rely On Google Discover Traffic via @sejournal, @martinibuster

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Google’s John Mueller answered a question about Discover traffic that disappeared. Mueller offered several reasons why Discover traffic might dry up and then cautioned against building a business around Discover traffic.

What Is Google Discover?

Google Discover is a content feed that is based on a user’s web and Google search activity, if the Google Web & App Activity is turned on. Google Discover shows a personalized list of content that users are interested in.

If users are trending toward searching how to make certain kind of recipes then sites about those recipes are going to begin trending for users in their Discover feed.

But in general, because so many people search for different things, no one website will tend to dominate in Google Discover because the feed is personalized.

That is what contributes to the somewhat random nature of Google Discover traffic.

Google’s John Mueller lists other reasons why Google Discover can’t be relied on for consistent traffic.

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Website Experiences Collapse in Google Discover Traffic

The person asking the question explained that the website is a Brazilian news site that has consistently enjoyed steady Google Discover traffic. He wants to understand why the traffic would suddenly dry up to a trickle.

The person explained their situation:

“We’re going through a huge drop in the delivery of our content through Google Discover.

…Google Discover is our main acquisition channel. But in the last ten days the delivery of our content through Discover has dropped to practically zero.

Our normal audience was kind of a thousand active users in real time. And now it’s about ninety or a hundred active users.

And we didn’t change anything technical or editorial. And our Search Console did not report any problem.”

The person asking the question went on to explain that their Core Web Vitals performance and CrUX reports are all at the top levels and their site is served with AMP.

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He expressed confusion about why Discovery traffic would dry up when everything remains the same and nothing had changed.

Google Traffic Is Not Consistent

The person asked:

“What do you think could be happening with us?”

John Mueller began his answer by affirming that Google Discover Traffic is in general not a consistent source of traffic.

John Mueller answered:

“I think it’s always tricky with Discover because it’s… at least what I hear from people, it’s very binary in that either you get like a lot of traffic or you don’t get a lot of traffic from Discover.

And that also means that any changes there tend to be very visible.

So my main recommendation is not to rely on Google Discover for traffic, but rather to see it as an additional traffic source and not as the main one.”

Why Does Google Discover Traffic Disappear?

John Mueller next shifted to discussing general issues that might affect Google Discover traffic.

Mueller:

“When it comes to Discover there are a few things that kind of play in there… you mentioned some of the technical things that I think are good practices.
One of the things that also plays in there is, for example, the core updates also play a role.”

Core Update Can Affect Google Discover Traffic

Interestingly, Mueller said that the core update could affect Google Discover traffic. He didn’t say what specifically within a core update might affect the traffic, but one can speculate that it might be related to improvements to algorithms related to understanding content. It could be many other things.

Mueller continued his answer:

“We recently had a core update, maybe from a timing point of view that matches what you saw there.

So that’s something where if you do see an effect from the core update, then I would double check the blog post that we have about core updates with the large number of tips and ideas that you could focus on.”

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Google Discover Content Guidelines

Mueller next cited Google’s Discover content guidelines as something that influences what kinds of content will receive Google Discover traffic.

Mueller explained the guidelines influenced traffic:

“The other thing is with Discover in particular, we have a set of content guidelines that we try to stick to in an algorithmic way.

And depending on the website itself, it might be something where some of these content guidelines, your website is kind of borderline.

So for example… I don’t know the content guidelines all by heart but I think there is something about like clickbait-y titles or clickbait-y content in general or kind of adult oriented content, for example.

And it might be that your website is kind of borderline there with regards to how we evaluate your website in that regard.

And then it can also happen that our algorithms say oh, well, a large part of this website is just clickbait or one or the other categories that we list in the content guidelines.

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And then we will be a lot more conservative with regards to how we show the website in Discover.

So… without knowing your website, that’s the direction I would head.

On the one hand, the core updates, think about that.

On the other hand the content guidelines that we have.

And then finally I would still make sure that you don’t rely on Discover for your business overall because it can change fairly quickly.

And it’s something where often there are not pure technical reasons behind those changes.”

Google Discover Is An Unreliable Source Of Traffic

The big takeaway is that Google Discover is a highly unreliable source of traffic. So it’s definitely not something to build a business on.

Nevertheless, John Mueller mentioned guidelines to be aware of in order to improve your chances of receiving Google Discover traffic and avoid getting kicked out of Discover.

Citations

Read Google’s Discover Guidelines

How Content Appears in Discover

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Read Google’s Discover Content Policies

Discover Content Policies

John Mueller On How to Improve Chance of Google Discover Traffic

Watch John Mueller at the 45:35 minute mark:

[embedded content]

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  1. https://kievrent-dmitriy.blogspot.com/

    December 20, 2021 at 2:30 pm

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NEWS

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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NEWS

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]

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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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