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Ranking for Head Term Keywords via @sejournal, @martinibuster

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Google’s John Mueller offered advice on how a new site should approach ranking for head term keywords.

The question was from a publisher who was unhappy with what was perceived as a poor quality web page. Mueller explained why that particular search result appears that way.

Head Term Keyword Phrases

Head Terms are search phrases with a lot of search volume.

Long tail phrases are search queries that have a small amount of search volume.

It’s not about how many words are in the search query. It’s all about the search volume.

Something that Mueller notes about head terms is that they their meanings tend to be vague.

Ranking for One-word Search Queries

The person asking the question was concerned about the search results for a single-word search phrase in which the top ranked site was perceived as being low quality.

That person asked why their higher quality page didn’t rank above what they felt was a low quality web page.

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This is the question:

“I do a query on Google and the results are not good.

The first result only has one video and thousands of comments. Why does that one site rank?

…Not only me, other results that are also greater still below that result.

I look up the website and I found there are a lot of authoritative in their niche… and the query was programming.”

Google’s Mueller Discussing Ranking for Head Terms

Screenshot of Google's John MuellerGoogle’s John Mueller discussing ranking for head termsScreenshot of Google's John Mueller

Ambiguous Search Queries

Mueller first noted that the search query the person asking the question about was ambiguous. And that’s problematic because the intent for a single-word search query could be so many things for some search phrases.

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John Mueller’s answer:

“So I think, first of all, a query like “programming” is so ambiguous that there is no absolute right or wrong when it comes to ranking something there.

So that’s something where I would assume that the results that you see there are going to be kind of mixed and it’s going to be hard to just say, I’m going to create a piece of content on the topic of “programming” and Google will rank it number one.”

Mueller Recommends Targeting Less Ambiguous Keywords

Mueller suggests that the publisher should focus on keywords that have less competition rather than focusing on all the high-volume phrases.

John continued his answer:

“My recommendation here is, especially
if you’re starting out, don’t focus on queries like “programming.”

Instead, focus on something that is really strong, something that you can do really well, and something that doesn’t have as much competition or doesn’t have as much other content out there already.

…So that you can kind of build up some experience over time and understand how things work, understand how users actually react to your content, understand which kind of content works well for search, which kind of content works well for users.

And over time, keep building that up and that can result in the end with you focusing on things that are more head terms, …things that are shorter queries that users search for a lot.

But that also gives you a little bit of foundation to build on, where you know that, well I get a lot of questions on this specific aspect of programming and that’s why I have a lot of great content on and that’s where I rank really well.

And then over time maybe it makes sense to expand from there into a more broader topic.

Or maybe you find other topic areas where it’s equally the case that there’s actually not a lot of content out there but there are enough people that are searching for this information that it makes it worth your while to actually create that content and maintain it, keep it running on your website.”

Ranking for Targeted Search Terms

Mueller is right, focusing on targeted keywords where the intent is clear is a good strategy.

In general, less people are searching for one-word search queries, which means that one-word queries are no longer head terms. They are just vague and ambiguous.

For example, the Google Trends tool shows that the search trend for the keyword “programming” is declining. There are 50% less people searching for the word “programming” today than there were five years ago.

One-word and two-word search queries used to have a lot of search inventory. But the way people search has changed, meaning that just because it’s a one-word query that does not mean that it’s a head term that is associated with a lot of traffic.

Google uses query refinement features in order to guide searchers to more accurate search queries, too.

Mueller’s approach can be more satisfying for users and publishers because a searcher is more likely to find what they want on a web page that is about something highly specific.

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A more specific search query has in my experience consistently resulted in more sales, more clicks on affiliate links and generally better ad performance.

Citation

Google’s Mueller Discusses Ranking for Head Terms

Watch John Mueller answer the question at the 38:55 minute mark:

[embedded content]

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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