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Does Comprehensive Content Build Trust? via @sejournal, @martinibuster

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Google’s John Mueller, in an Office-hours hangout, answered a question about the best content for building trust. Mueller encouraged the person asking the question to stop worrying about building trust with Google and offered advice on how to create the best kind of content.

Google and Trust

There is an idea that if Google doesn’t rank a site then it might be because Google doesn’t trust it.

That’s not an unreasonable thing to worry about.

But Google doesn’t really structure its algorithms around trust metrics. Some link related algorithms structure their judgments over whether a site is normal or not-normal, with a not-normal site being one that is trying to manipulate the search rankings, like with paid links or guest posts, that kind of thing.

From outside of Google one can look at the poor performance and reach the conclusion that the site’s not ranking because Google doesn’t trust it.

But it’s not about trust. In the case of links or certain kinds of content it is because the site is a not-normal site.

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It looks like Google doesn’t trust it, but it’s something else entirely.

And it’s good that these somewhat advanced SEO concepts are understood because then it saves time worrying about doing things to “earn trust” that have absolutely nothing to do with the reason why a web page isn’t ranking.

Down the Trust Rank Rabbit Hole

Yes, there’s a patent from around 2006 that mentions a Trust Rank.

That patent is about personalization and user intent. To understand what a patent is about, read the first part of the patent, over and over first.

Most people who make mistakes about patents skim the first part and go straight to the middle section. But without the context of the first part of the patent, the middle section leads them to form mistaken ideas about what the patent is about.

The above Trust Rank patent is primarily about identifying user intent through signals like whether the user has visited a site before.

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The meaning of the patent is contained in the second paragraph:

“An inherent problem in the design of search engines is that the relevance of search results to a particular user depends on factors that are highly dependent on the user’s intent in conducting the search–that is why they are conducting the search–as well as the user’s circumstances, the facts pertaining to the user’s information need.

Thus, given the same query by two different users, a given set of search results can be relevant to one user and irrelevant to another, entirely because of the different intent and information needs.

Most attempts at solving the problem of inferring a user’s intent typically depend on relatively weak indicators, such as static user preferences, or predefined methods of query reformulation that are nothing more than educated guesses about what the user is interested in based on the query terms.

Approaches such as these cannot fully capture user intent because such intent is itself highly variable and dependent on numerous situational facts that cannot be extrapolated from typical query terms.”

The above patent isn’t about Trust.

That patent is concerned with User Intent.

Googlers have long said over and over that Google doesn’t use a trust signal. Google engineer Matt Cutts even posted a video to dispel the myth of a trust factor in 2011.

Video of Google Engineer Matt Cutts Explaining “Trust”

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But for whatever reason, the idea that Google has a trust thing going on persists even though Google keeps telling people it doesn’t use a trust metric.

Comprehensive Content and Earning Google’s Trust

The person asking the question wants to know if writing comprehensive articles builds trust with Google.

Here is the question:

“Does writing comprehensive articles covering a specific subject build trust with Google?”

There is No Trust Metric at Google

Being comprehensive can be good in certain cases and not so good in other cases, as John Mueller will explain.

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But first, Mueller pops the bubble again on the idea that Google uses a trust metric.

John Mueller Discussing Content and Trust

John Mueller discussing content and trustMueller explains:

John Mueller discussing content and trust

“I don’t think we have any measure or metric or anything like that where we’d say, You have built trust with Google and you’ve built that based on writing comprehensive articles.”

John Mueller Explains Where to Focus Content

Mueller sets aside the topic of trust and then advises the person on how they should approach the content in order to rank better.

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Mueller explained:

“I would see this kind of… I don’t know… work as being focused a little bit more on the user side.

Does this build trust with your users, do users appreciate this kind of content, and that kind of thing.

And that probably users appreciate that kind of content if you’re actually writing something comprehensive and useful for them.

The important part I think here is really to figure out which users you want to target and to make sure that your content actually speaks in their language.

So, for example, if you have technical content and you write a really detailed technical article about that.

If your users are looking for something that is more general or more simplified that explains the basic topics a little bit better then maybe tha highly specialized technical article is not the best thing for them.

Whereas if your users are really kind of these specialized technical people and they want to find all of this highly technical content then maybe that is the right match.

So that’s something where you almost need to think about which users do I want to target and what kind of content are they looking for?

How can I write it in a way that matches what they search for and what they would like to find?

And then based on that you can kind of build out your website.”

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Figure Out Users First

Articles about keyword research make me cringe because they almost always advise focusing on keyword volume without discussing what motivates that volume and whether a less-volume keyword might be better because it converts while the high traffic one doesn’t convert.

John Mueller smartly advises the person asking the question to figure out the user first.

Mueller finishes his answer:

“So, don’t just blindly go in and say oh, I would like to have my website rank for rental cars therefore I will write long comprehensive content on rental cars.

Because probably that’s not what users are looking for.

You almost need to figure out your users first and then work on your content.”

That’s great advice, right there.

Some people look at their top ranked competitors and see that the content is very basic. They see that as an opportunity to write advanced content that’s on a higher level and beat the competition that is top ranked with 101 entry level content.

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But a lot of times, that entry level, baby-level content is what users want and that’s why Google is ranking it there.

Citation

Does Comprehensive Content Build Trust?

Watch Mueller talk about title tags at the 26:16 Minute Mark

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OpenAI Introduces ChatGPT Plus with Monthly Subscription of $20

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Open AI - Chat GPT

OpenAI, the leading artificial intelligence research laboratory, has launched a new product – ChatGPT Plus. The new product is an advanced version of its previous language model, ChatGPT, and is available for a monthly subscription of $20. The company aims to provide a more sophisticated and efficient conversational AI tool to its users through this new product.

ChatGPT Plus is a state-of-the-art language model that uses advanced deep learning algorithms to generate human-like responses to text inputs. The model has been trained on a massive corpus of text data, allowing it to generate coherent and contextually relevant responses. The model is designed to handle a wide range of conversational topics and can be integrated into various applications, such as chatbots, customer support systems, and virtual assistants.

One of the main advantages of ChatGPT Plus over its predecessor, ChatGPT, is its ability to generate responses in a more human-like manner. The model has been fine-tuned to incorporate more advanced language processing techniques, which enable it to better understand the context and tone of a conversation. This makes it possible for the model to generate more nuanced and appropriate responses, which can greatly improve the user experience.

In addition to its advanced language processing capabilities, ChatGPT Plus also offers improved performance in terms of response generation speed and efficiency. The model has been optimized to run on faster hardware and has been fine-tuned to generate responses more quickly. This makes it possible for the model to handle a larger volume of requests, making it an ideal solution for businesses with high traffic websites or customer support centers.

The monthly subscription fee of $20 for ChatGPT Plus makes it an affordable solution for businesses of all sizes. The company has designed the pricing model in such a way that it is accessible to businesses of all sizes, regardless of their budget. This makes it possible for small businesses to take advantage of advanced conversational AI technology, which can greatly improve their customer engagement and support.

OpenAI has also made it easy to integrate ChatGPT Plus into various applications. The company has provided a comprehensive API that allows developers to easily integrate the model into their applications. The API supports a wide range of programming languages, making it possible for developers to use the technology regardless of their preferred programming language. This makes it possible for businesses to quickly and easily incorporate conversational AI into their operations.

In conclusion, OpenAI’s launch of ChatGPT Plus is a significant development in the field of conversational AI. The new product offers advanced language processing capabilities and improved performance, making it an ideal solution for businesses of all sizes. The affordable pricing model and easy integration make it accessible to businesses of all sizes, and the advanced language processing capabilities make it possible for businesses to improve their customer engagement and support. OpenAI’s ChatGPT Plus is set to revolutionize the conversational AI industry and bring advanced technology within the reach of businesses of all sizes.

Visit OpenAI.com to read more and to get the latest news about ChatGPT.

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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

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