Note: if you are looking for a means of leveraging OpenAI’s GPT-3 for unique content production and scale-up, we encourage you to visit AI.DEV.co. Our developers use OpenAI’s GPT-3 framework to provide you with the tools you need using GPT-3 in your SEO efforts.
GPT-3, and Artificial Intelligence have been the topic of much discussion lately, particularly among SEOs. Many people are wondering how they will affect SEO professionals in the future.
What does this mean for organic search rankings? Does it signal a shift to manual labor or automated processes?
In this article, we’ll take a deep dive into what GPT-3 means for SEO professionals and their businesses in 2021 and the future.
Generative Pre-Trained Transformer 3 (GPT-3) is an AI and machine learning tool that uses semantic analysis to convert text into readable copy. It’s a powerful piece of software, but it also has its limitations.
What are the benefits for SEO professionals? How can they use this new technology effectively?
The benefit of GPT-3 is that it should save time from having to write content by hand which in turn means saving money on hiring writers or paying someone else to do your work for you.
The future of SEO depends largely on how well GPT-3 performs at replicating human writing skills while maintaining high quality standards. If not executed correctly, there could be considerable problems with duplicate and poorly-written content.
GPT-3 has made waves for its ability to use deep learning to replicate human typing skills at a rapid and accurate pace.
GPT-3 is produced by OpenAI. OpenAI is a non-profit artificial intelligence research company that was founded in 2015. One of its core founders is Elon Musk, serial entrepreneur
GPT-3 can generate one million words of text every hour and learns by example, which means it’s technically not “writing” but replicating human writing abilities.
This tool has the potential to change SEO practices as we know them today. We will take a look at some possible implications for future SEO efforts below
If GPT-3 performs well initially, companies may start using it to create content instead of humans, resulting in fewer positions available for those who are skilled writers. This could lead to greater unemployment among human writers.
However, the reality is much more complicated than that.
Artificial intelligence can be defined as the science and engineering of making intelligent machines, especially intelligent computer programs.
AI research is highly technical and specialized, drawing on mathematics, probability theory, cognitive psychology, neuroscience
Generally supervised or unsupervised machine learning algorithms are used to sort through data in order to find patterns that humans may not have noticed before. These patterns indicate what we might call “intelligent” behavior.
As AI becomes more developed over time with a variety of different fields contributing to its development (such as natural language processing), it will become increasingly important for SEO professionals to adapt.
However, in its current state, GPT-3 is not meant to take human jobs. It’s only designed to assist humans.
Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without being explicitly programmed.
Today, machine learning software can be found as applications on our phones or in social media platforms.
It’s important for SEO professionals to keep up with this developing field because it has tremendous implications for how search engines and other websites operate online today.
Deep learning is a subset of machine learning that uses neural networks to find patterns in numerous layers.
In other words, deep learning software “learns” by analyzing which data it actually needs and then discards what doesn’t work. There are two types: supervised and unsupervised machine learning algorithms.
Supervised means the algorithm has been taught an answer from human input (or training data). Unsupervised means all the information needed for solving a problem is already available.
OpenAI GPT-3 tries to use both approaches when generating content with semantic understanding of how language works combined with pattern recognition through deep learning techniques.
The SEO industry relies on the accurate collection of data to help real humans make important decisions. Clearly, GPT-3 can assist in that regard.
GPT-III has the capability to generate one million words of text every hour, which is extremely impressive.
Emails written by humans can take hours or even days to complete depending on their length and complexity. The potential for GPT-III in this area may be very interesting indeed.
GPT-3 can also assist in creating SEO-optimized content in bulk. The tool has proven to be more accurate than humans when generating text about a certain topic or question.
In addition, GPT-3 can help website developers create landing pages, ad copy, and other important marketing collateral to boost online rankings. Lastly, GPT-3 can assist in creating long-form content much faster than human writers can.
GPT-3 uses machine learning, AI, and deep learning to conjure human-like text that can be used in the SEO industry. The tool is simply a culmination of all of those important technologies.
To understand how GPT-3 works, you’ll first need to know how technology is able to think like a human. Computers have become more advanced in many ways than what they used to be, but how are we able to communicate with them?
In order for a computer or an algorithm to learn like humans do, it requires data. Think of the universe as infinitely large and unorganized; the smaller this “universe” is made by filtering down only human-generated content (e.g., social media posts), then it can start making connections between different pieces of information just like humans would.
The sheer number of items on the internet makes that task nearly impossible without some help from machine learning techniques such as neural networks and deep learning models.
GPT-3 is fed information by a programmer, which can be a human writer or just about anyone. For example, if you want to write an SEO article about “how to change a flat tire” for an auto repair company, you can use GPT-3 to input important data such as:
With this information, GPT-3 can create accurate and high-quality content. This proves that GPT-3 isn’t designed to take human jobs. In fact, it’s designed to be completely run by humans, whether they are writers or SEOs.
The benefits of using GPT-III are seemingly endless.
GPT-III can be used to write content in bulk, which is perfect for SEO professionals looking to create more high quality blog posts on a weekly or monthly basis. This will also allow marketers and website developers who need content fast the ability to outsource them with accuracy without sacrificing any human touch (aka “voice”).
Furthermore, because it uses machine learning algorithms that recognize patterns, this tool could potentially help companies generate ad copy or email templates at an extremely accurate rate, without having any employees spend hours writing the same thing over again. And if you’re not aware yet, time equals money!
GPT-3 can finally allow SEOs to scale their services without having to increase overhead costs. The accurate collection of data to help real humans make important decisions. Clearly, GPT-III can assist in that regard.
The drawbacks of using GPT-III are quite minor.
For example, it can be difficult to use GPT-3 to create content in specific niches, such as curating legal advice or writing opinion pieces on a political issue. However, those areas can still be handled by humans who have domain knowledge and experience with the topic at hand.
Overall, many believe that GPT-3 will actually help small businesses succeed online more than it will hurt them because they won’t need to hire a massive team of writers and project managers to scale their content marketing services.
Writers will still be necessary to use GPT-3, but SEOs don’t have to increase hiring costs if they need to meet high content writing demands from clients. Using GPT-3 is essentially akin to taking advantage of free labor (minus monthly operating cost),
GPT-3 is designed to help SEO professionals, not put them out of work.
In fact, many believe that GPT-3 will actually be a big plus for the industry because it’ll allow marketers and website developers who need content fast to easily outsource their needs with accuracy without sacrificing any human touch (aka “voice”).
Lastly – but most importantly – GPT-3 can finally allow SEOs and agencies to scale their existing blog writing services without increasing overhead costs by using real data to create high-quality content.
GPT-3 can help SEOs accomplish a wide range of tasks with amazing benefits. Below, you’ll find a complete list of ways GPT-3 can help SEOs do better work and achieve better results for their clients.
GPT-3 can write much faster than a human can with a higher accuracy rate and minimal research. This allows the tool to handle repetitive content writing tasks, while writers can assume strategic positions with SEOs.
It also has machine learning algorithms which recognize patterns to make it more efficient than humans in content creation. This allows marketing teams to focus on better things like strategy for their campaigns rather than mindless tasks.
Let’s say that you’ve onboarding several new clients who need new websites and updated blogs. GPT-3 is the perfect tool to assist in the content development process.
It can write content in bulk, which will save you time and allow you to focus on other aspects of the work.
There are a lot of processes that take too much time for humans. GPT-3 is capable of analyzing data more efficiently than any human would be able to do manually or with spreadsheets.
This allows SEOs to use their valuable time working strategically rather than wasting it on grunt tasks like collecting data from different websites and managing keywords lists.
It also provides insights into what’s currently happening online by monitoring social media platforms, search engines, blogs, news outlets, etc., all day long so there isn’t as much need for manual research when developing strategies.
GPT-3 can provide SEOs with the data they need to make informed decisions.
It can help optimize campaigns in real time, so you don’t have to guess what’s working and what isn’t or waste your marketing budget on things that won’t work anymore because GPT-3 will tell you.
For example, it could track the performance of different links within a campaign and recommend new keywords to pursue based on this information.
This allows marketers to better predict which content is resonating best with their target audience, which increases ROI for them as well as clients who are paying for these services.
GPT-3 can help you save time and money in a wide variety of ways.
Some of the major benefits include being able to scale your content marketing services without increasing cost, producing SEO content in bulk which saves marketers a lot of time.
This also includes analyzing data automatically that would otherwise take hours or days while saving human resources from having to do it manually. This helps SEOs make informed decisions about what will work best with minimal need for research because GPT-3 contains all this information on hand already.
As a result, this allows SEOs to focus on strategic work rather than mindless ones like basic data collection so they are more productive overall.
GPT-3 will help SEOs achieve better results.
The tool has machine learning algorithms which recognize patterns to make it more efficient than humans in content marketing, and it can work faster while still maintaining a higher accuracy rate than any human could hope for.
This all leads back to increased productivity among marketers who use this tool since there’s less need for manual labor when developing link building strategies and gathering data.
GPT-3 is a remarkable technology that will greatly benefit SEOs and the entire industry. If you’re interested in putting this tool to use for your SEO agency, contact us today to speak to a member of our team. We have built our own tool that leverages the technology, but also have our own team for delivering content using it on a larger scale.
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