NEWS

Blog Posts That Get 1000 Visits or More Target 76 Keywords

Published

3 years ago

April 22, 2021

Blogging is a pain.

Not because content is hard to write (worse case you can just hire a writer or agency), but due to the fact that no one can guarantee that your blog post gets read or not.

Just think about it… you spend all this time writing content, but no one can guarantee that it gets seen, shared, or even linked to.

So, I thought it would be fun to analyze popular blog posts and see what common characteristics that they have.

That way you can replicate what they are doing and increase the likelihood that your post gets read.

Now for this study, we deemed a popular blog post as anything that generates at least 1,000 visitors a month from Google organic search (this was based on Ubersuggest data).

We also didn’t exclude any countries and looked at the data from a global level.

Here’s what we learned.

A popular post tends to rank for at least 38 keywords

A big thing in common was that popular blog posts rank for at least 38 keywords.

What’s interesting though is posts that generate at least 5,000 visits a month from Google rank for 51 or more keywords.

But the big difference between posts that generate at least 1,000 visitors versus 5,000 wasn’t the number of keywords that they were targeting, it was more so that they were ranking for keywords that were searched on average 984 times a month.

Now granted they didn’t get 984 clicks for each keyword that they ranked for, as no site really gets all the clicks, and there is no guarantee that they were in the number 1 spot.

When looking at this data we decided to dig in a bit more and we randomly picked 300 blog posts that generate at least 1,000 visits a month from Google to see how many keywords they mentioned on their page that contained at least 50 searches a month.

Can you guess what the number was?

Well, after we removed generic one-word terms that aren’t really considered keywords (such as how I mentioned words like “analyze, month, generate, data” within this post but I am not really targeting those keywords), the number comes out to a staggering 76 keywords.

But wait, how do you come up with 76 keywords for every blog post you write?

Before I break down how you can come up with a laundry list of keywords to include in every blog post you write, keep this in mind…

You should never stuff keywords in a blog post for the sake of getting SEO traffic. Your post should flow and adding the keywords should feel natural. (If you are hiring a writer, a good writer shouldn’t struggle with this.)
There are outliers and some blog posts generate a lot of traffic without targeting dozens of keywords within their content.
You shouldn’t write blog posts just for “Google traffic”. If the content doesn’t provide value to the user, it is going to hurt your website rankings in the long run as you can get hit by Google algorithm update if your site is deemed to have low-quality content.

Now that we got that out of the way, you can head to Ubersuggest and follow the steps in the video below to come up with blog post ideas as well as 76 plus keywords per post.

The average blog post that is popular contains 1839 words

Over the years the SEO game has changed. Generally, the longer your content, the more traffic you can get. But there are a lot of edge cases to that rule.

And Google doesn’t really care about word count these days as much as they do for user experience.

See, a user doesn’t really care if a blog post is short or long, they just want to be satisfied with what they have just read.

Nonetheless, we looked at the word count to see what the average post length was for a popular post.

What’s interesting is that posts that generated over 5,000 visitors a month on average weren’t that much longer than posts that generated 1,000 visitors.

The biggest difference was they included more popular keywords within their content. They didn’t necessarily rank for each of those terms, but this gives a post more opportunity to potentially rank and be found.

As I mentioned though, there are always exceptions to the rule. For example, there are popular topics like “how to tie a tie” and you don’t really need tons of words to explain how to tie a tie. You more so need images or even video.

Blog posts that are popular are somewhat new

When we looked at every popular blog in our database, we noticed that a lot of sites didn’t include a publish date or an updated date (updated date is used for content that was originally published years ago but was more recently updated).

But for the posts that did contain a date, whether it was the publication date or when the content was updated, we did notice something interesting.

Content that generates 1,000 visitors or more a month on average tends to be 388 days old.

And content that generates less than 1,000 visitors tends to be 593 days old.

This doesn’t mean that Google doesn’t want to rank new, fresh content as in both categories there was fresh, new content that did generate traffic. But a lot of the ranking blog posts were a bit old (but not too old).

Again, keep in mind there are always exceptions to the rule. Going back to the how to tie a tie example, even if that article was 3 years old, it probably would still be relevant as much hasn’t changed when it comes to ties.

But with over 1 billion blogs on the web, it seems like Google prefers newish content over outdated content.

If you have older content, don’t worry, you can always update it to ensure that it continually gets more traffic.

The way you would do this is by following these steps:

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It’s so effective that I have a team of people who just update my old content.

Conclusion

Whether you like it or not, if you are going to write content you should do keyword research first.

Picking the right keywords versus the wrong ones can mean that your content doesn’t get traffic or gets thousands of visitors a month.

Now of course there are other elements to your SEO like links and on-page SEO, but for this analysis, we wanted to focus on the characteristics (ones that you can easily control) that make a popular post.

Out of curiosity, do you do keyword research before you write content?

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NEWS

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

Published

4 weeks ago

August 21, 2024

Max

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

OpenAI has today announced the release of fine-tuning capabilities for its flagship GPT-4 large language model, marking a significant milestone in the AI landscape. This new functionality empowers developers to create tailored versions of GPT-4 to suit specialized use cases, enhancing the model’s utility across various industries.

Fine-tuning has long been a desired feature for developers who require more control over AI behavior, and with this update, OpenAI delivers on that demand. The ability to fine-tune GPT-4 allows businesses and developers to refine the model’s responses to better align with specific requirements, whether for customer service, content generation, technical support, or other unique applications.

Why Fine-Tuning Matters

GPT-4 is a very flexible model that can handle many different tasks. However, some businesses and developers need more specialized AI that matches their specific language, style, and needs. Fine-tuning helps with this by letting them adjust GPT-4 using custom data. For example, companies can train a fine-tuned model to keep a consistent brand tone or focus on industry-specific language.

Fine-tuning also offers improvements in areas like response accuracy and context comprehension. For use cases where nuanced understanding or specialized knowledge is crucial, this can be a game-changer. Models can be taught to better grasp intricate details, improving their effectiveness in sectors such as legal analysis, medical advice, or technical writing.

Key Features of GPT-4 Fine-Tuning

The fine-tuning process leverages OpenAI’s established tools, but now it is optimized for GPT-4’s advanced architecture. Notable features include:

Enhanced Customization: Developers can precisely influence the model’s behavior and knowledge base.
Consistency in Output: Fine-tuned models can be made to maintain consistent formatting, tone, or responses, essential for professional applications.
Higher Efficiency: Compared to training models from scratch, fine-tuning GPT-4 allows organizations to deploy sophisticated AI with reduced time and computational cost.

Additionally, OpenAI has emphasized ease of use with this feature. The fine-tuning workflow is designed to be accessible even to teams with limited AI experience, reducing barriers to customization. For more advanced users, OpenAI provides granular control options to achieve highly specialized outputs.

Implications for the Future

The launch of fine-tuning capabilities for GPT-4 signals a broader shift toward more user-centric AI development. As businesses increasingly adopt AI, the demand for models that can cater to specific business needs, without compromising on performance, will continue to grow. OpenAI’s move positions GPT-4 as a flexible and adaptable tool that can be refined to deliver optimal value in any given scenario.

By offering fine-tuning, OpenAI not only enhances GPT-4’s appeal but also reinforces the model’s role as a leading AI solution across diverse sectors. From startups seeking to automate niche tasks to large enterprises looking to scale intelligent systems, GPT-4’s fine-tuning capability provides a powerful resource for driving innovation.

OpenAI announced that fine-tuning GPT-4o will cost $25 for every million tokens used during training. After the model is set up, it will cost $3.75 per million input tokens and $15 per million output tokens. To help developers get started, OpenAI is offering 1 million free training tokens per day for GPT-4o and 2 million free tokens per day for GPT-4o mini until September 23. This makes it easier for developers to try out the fine-tuning service.

As AI continues to evolve, OpenAI’s focus on customization and adaptability with GPT-4 represents a critical step in making advanced AI accessible, scalable, and more aligned with real-world applications. This new capability is expected to accelerate the adoption of AI across industries, creating a new wave of AI-driven solutions tailored to specific challenges and opportunities.

GOOGLE

This Week in Search News: Simple and Easy-to-Read Update

Published

3 months ago

June 30, 2024

Entireweb News Bot

This Week in Search News: Simple and Easy-to-Read Update

Here’s what happened in the world of Google and search engines this week:

1. Google’s June 2024 Spam Update

Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.

2. Changes to Google Search Interface

Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.

3. New Features and Tests

Link Cards: Google is testing link cards at the top of AI-generated overviews.
Health Overviews: There are more AI-generated health overviews showing up in search results.
Local Panels: Google is testing AI overviews in local information panels.

4. Search Rankings and Quality

Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.

5. Advice for Content Creators

Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.

6. New Search Features in Google Chrome

Google Chrome for mobile devices has added several new search features to enhance user experience.

7. New Tests and Features in Google Search

Credit Card Widget: Google is testing a new widget for credit card information in search results.
Sliding Search Results: When making a new search query, the results might slide to the right.

8. Bing’s New Feature

Bing is now using AI to write “People Also Ask” questions in search results.

9. Local Search Ranking Factors

Menu items and popular times might be factors that influence local search rankings on Google.

10. Google Ads Updates

Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.

These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.

FACEBOOK

Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again

Published

6 months ago

March 20, 2024

Max

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.