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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]

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Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again

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Facebook Problem Again

Uppdated: It seems that today’s issues with Facebook haven’t affected as many users as the last time. A smaller group of people appears to be impacted this time around, which is a relief compared to the larger incident before. Nevertheless, it’s still frustrating for those affected, and hopefully, the issues will be resolved soon by the Facebook team.

Facebook had another problem today (March 20, 2024). According to Downdetector, a website that shows when other websites are not working, many people had trouble using Facebook.

This isn’t the first time Facebook has had issues. Just a little while ago, there was another problem that stopped people from using the site. Today, when people tried to use Facebook, it didn’t work like it should. People couldn’t see their friends’ posts, and sometimes the website wouldn’t even load.

Downdetector, which watches out for problems on websites, showed that lots of people were having trouble with Facebook. People from all over the world said they couldn’t use the site, and they were not happy about it.

When websites like Facebook have problems, it affects a lot of people. It’s not just about not being able to see posts or chat with friends. It can also impact businesses that use Facebook to reach customers.

Since Facebook owns Messenger and Instagram, the problems with Facebook also meant that people had trouble using these apps. It made the situation even more frustrating for many users, who rely on these apps to stay connected with others.

During this recent problem, one thing is obvious: the internet is always changing, and even big websites like Facebook can have problems. While people wait for Facebook to fix the issue, it shows us how easily things online can go wrong. It’s a good reminder that we should have backup plans for staying connected online, just in case something like this happens again.

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We asked ChatGPT what will be Google (GOOG) stock price for 2030

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We asked ChatGPT what will be Google (GOOG) stock price for 2030

Investors who have invested in Alphabet Inc. (NASDAQ: GOOG) stock have reaped significant benefits from the company’s robust financial performance over the last five years. Google’s dominance in the online advertising market has been a key driver of the company’s consistent revenue growth and impressive profit margins.

In addition, Google has expanded its operations into related fields such as cloud computing and artificial intelligence. These areas show great promise as future growth drivers, making them increasingly attractive to investors. Notably, Alphabet’s stock price has been rising due to investor interest in the company’s recent initiatives in the fast-developing field of artificial intelligence (AI), adding generative AI features to Gmail and Google Docs.

However, when it comes to predicting the future pricing of a corporation like Google, there are many factors to consider. With this in mind, Finbold turned to the artificial intelligence tool ChatGPT to suggest a likely pricing range for GOOG stock by 2030. Although the tool was unable to give a definitive price range, it did note the following:

“Over the long term, Google has a track record of strong financial performance and has shown an ability to adapt to changing market conditions. As such, it’s reasonable to expect that Google’s stock price may continue to appreciate over time.”

GOOG stock price prediction

While attempting to estimate the price range of future transactions, it is essential to consider a variety of measures in addition to the AI chat tool, which includes deep learning algorithms and stock market experts.

Finbold collected forecasts provided by CoinPriceForecast, a finance prediction tool that utilizes machine self-learning technology, to anticipate Google stock price by the end of 2030 to compare with ChatGPT’s projection.

According to the most recent long-term estimate, which Finbold obtained on March 20, the price of Google will rise beyond $200 in 2030 and touch $247 by the end of the year, which would indicate a 141% gain from today to the end of the year.

2030 GOOG price prediction: Source: CoinPriceForecast

Google has been assigned a recommendation of ‘strong buy’ by the majority of analysts working on Wall Street for a more near-term time frame. Significantly, 36 analysts of the 48 have recommended a “strong buy,” while seven people have advocated a “buy.” The remaining five analysts had given a ‘hold’ rating.

1679313229 737 We asked ChatGPT what will be Google GOOG stock price
Wall Street GOOG 12-month price prediction: Source: TradingView

The average price projection for Alphabet stock over the last three months has been $125.32; this objective represents a 22.31% upside from its current price. It’s interesting to note that the maximum price forecast for the next year is $160, representing a gain of 56.16% from the stock’s current price of $102.46.

While the outlook for Google stock may be positive, it’s important to keep in mind that some potential challenges and risks could impact its performance, including competition from ChatGPT itself, which could affect Google’s price.


Disclaimer: The content on this site should not be considered investment advice. Investing is speculative. When investing, your capital is at risk.

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This Apple Watch app brings ChatGPT to your wrist — here’s why you want it

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Apple Watch Series 8

ChatGPT feels like it is everywhere at the moment; the AI-powered tool is rapidly starting to feel like internet connected home devices where you are left wondering if your flower pot really needed Bluetooth. However, after hearing about a new Apple Watch app that brings ChatGPT to your favorite wrist computer, I’m actually convinced this one is worth checking out.

The new app is called watchGPT and as I tipped off already, it gives you access to ChatGPT from your Apple Watch. Now the $10,000 question (or more accurately the $3.99 question, as that is the one-time cost of the app) is why having ChatGPT on your wrist is remotely necessary, so let’s dive into what exactly the app can do.

What can watchGPT do?

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