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Google’s John Mueller Answers if MUM Makes SEO Obsolete

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Google’s John Mueller Answers if MUM Makes SEO Obsolete

Google’s John Mueller responded to a Reddit discussion about whether MUM will make SEO obsolete. Given that the purpose of MUM is to provide answers from multiple languages, answers not currently answered by ten blue links, it’s not an unreasonable question to ask.

Google MUM

MUM is an acronym for Multitask Unified Model. It’s a way of answering complex questions that cannot be answered with just a few sentences in a featured snippet or with current technology.

Google refers to MUM as a significant event in the evolution of search technologies, calling it a milestone that is 1,000 times more powerful than the BERT algorithm.

Is MUM SE-Un-optimizable?

One astounding way MUM solves answers is to use the total sum of knowledge about a topic, even if that knowledge is in a different language.

Google said that it can source answers from across different languages. And that makes sense because answers in other languages may be more authoritative that the limited content produced in your local language.

In the recipe niche, an article about how to make a paella that was written in Spanish by a Spanish chef might be considered more authoritative than an article written by a stay at home mom in California who has little to no lived experience with Spanish cooking.

Who would you trust for an authentic Spanish recipe? The stay at Home Mom in California or the fourth generation Spanish chef?

Google uses the example of using native Japanese content for search queries related to hiking Mount Fuji, which can also drill down to subtopics that only a native might know about.

Keyword Based SEO?

Another feature is that MUM can find answers to questions that are a mix of images and text and provide answers to that mix.

How would an SEO optimize an answer to a question that is partially in the form of an image?

An image is not a word. It’s a representation of a thing, an entity.

Here’s what Google says:

“Eventually, you might be able to take a photo of your hiking boots and ask, “can I use these to hike Mt. Fuji?”

MUM would understand the image and connect it with your question to let you know your boots would work just fine. It could then point you to a blog with a list of recommended gear.”

In the MUM search paradigm, optimizing for keywords seems to break down because MUM is answering a complex question comprised of multiple subtopics.

Here’s how Google’s announcement explains it:

“Since MUM can surface insights based on its deep knowledge of the world, it could highlight that while both mountains are roughly the same elevation, fall is the rainy season on Mt. Fuji so you might need a waterproof jacket.

MUM could also surface helpful subtopics for deeper exploration — like the top-rated gear or best training exercises — with pointers to helpful articles, videos and images from across the web.”

It does not seem unreasonable to conclude that the above described MUM search result is drawn from multiple websites from different languages.

And if that’s the case, how would you even visualize which website is top ranked for a MUM search query when the query draws from multiple “helpful subtopics?”

  • If your primary language is English and part of your answer is from a Japanese website, is the Japanese site considered top ranked?
  • Will the blog post with the article about “top-rated gear” be the winner?
  • Or is the winner of that search query the publisher of the “best training exercises” article?
  • Can all five sites, one of which is in a foreign language, be considered top ranked?
  • Will MUM redefine what it means to be top ranked for certain search queries?

Sourcing answers from multiple websites seems like selecting five winners and breaking off five pieces of the trophy for them to take home with them.

If we accept the scenario of five sites have the opportunity to be top ranked, how would you, as an SEO, attempt to optimize for that?

Not an Unreasonable Question

We don’t know what MUM will look like once it rolls out in months or years as Google’s announcement said. We’re limited to drawing conclusions from the limited information that Google has shared.

And what they announced does not seem to fit the contours of search results as we know it.

Does that mean SEO has to adapt?

John Mueller Comments on Impact of MUM on SEO

Google’s John Mueller responded to the Reddit thread by affirming that SEO will always be needed.

Mueller’s answer referenced a joke about keyword stuffing:

“How many SEO experts does it take to change a light bulb, lightbulb, light, bulb, lamp, lighting, switch, sex, xxx, hardcore”

This is Mueller’s response:

“I don’t really see how this would reduce the need for SEO.

Things always evolve.

Remember the SEO joke about changing the lightbulb? None of that’s been necessary for a while now, which is due to developments like these, and yet, people still have enough to do as SEO.”

The Work of SEO Evolves

Mueller’s right. The nature of the work associated with SEO is under constant evolution. Some in the SEO community have a hard time changing and continue clinging to the idea of ranking for search results comprised of ten blue links.

But the truth is that the age of ten blue links has been replaced by a hybrid that is responsive to the context of the question being asked.

Google’s MUM algorithm could be said to be a way to respond to a search question with a complex context.

If the answer is best served with content originally written in Japanese or Spanish, then that may be a part of the answer.

At this point in time, given that there is no actual product, it may be premature to begin shouting that the sky is falling.

The prudent thing may be to reserve judgment until Google actually rolls out a product.

Citation

MUM Will Replace SEO?

Searchenginejournal.com

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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

[embedded content]Searchenginejournal.com

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