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Date of Publication: 8 Mar 2023
Will the Impact of GPT 3 be game-changing for SEO and Content Marketing?
The impact of GPT3 on SEO and content marketing is likely to be significant.
As a powerful artificial intelligence language processing system, GPT3 (Generative Pre-trained Transformer 3) can write natural-sounding text from input data, which could likely revolutionize both SEO and content marketing.
In this blog post, we will explore the implications of GPT3 for SEO and content marketing, including the searchability of content generated with GPT3, the impact of SEO on GPT3, the limitations of GPT3, and the effectiveness of content marketing using GPT3 content.
Anirban Guha
Digital Marketing Expert | Media Strategist | Entrepreneur
Table of Contents
The impact of GPT3 on SEO and content marketing is an important question that many marketers and content creators are asking. With the release of GPT3, a powerful new artificial intelligence technology, the potential for improved content development and searchability of content has never been greater.
What is GPT3?
A generative pre-trained transformer neural network is a model that uses harvested texts to produce a set of meaningful and realistic-sounding texts. This technique allows you to give just a tiny amount of input text to create more diverse and well-thought-out texts. Content marketers can utilize this and create SEO-friendly content to make their websites rank higher in search engine results. GPT3 helps by adding new keywords and phrases that help users find what they’re looking for more easily. Additionally, GPT3 can make creating engaging content original with minimal effort on the writer’s behalf. For instance, if you are writing a blog post on The history of the French Revolution, GPT3 can provide several sentences about related events or historical figures to add. GPT3 also has the potential to be a crucial tool for bilingual websites as it provides advice for translating posts as well as ways to organize articles and search engine optimization (SEO).
Impact of GTP3 on searchability of content
It is a powerful tool that can generate human–like text from a prompt. GTP3 is expected to have a mixed impact on the searchability of content. By being able to generate text that is similar to what a human would write, GTP3 can help make content more readable and easier to understand. But at the same time, it may be the production machinery for errors, undetectable fakes, and spam.
By being able to generate natural–sounding text that covers topics related to the content, GTP3 can help improve the quality of the content by providing more relevant information. However, may also come up with old, outdated, historic data. Whatever it churns out, the content when coupled with analytics tools, and with human intervention makes it easier for search engine algorithms to accurately index and rank the content, resulting in it being more easily found through search engines.
Impact of GPT 3 on Search Engines
Recently Google announced that almost 100% of searches in the US use BERT (transformer network similar to GPT-3). In near future, this technology may be stretched to its limits by search engines.
The foreseeable future is the dynamic answers on search results replacing the website snippets. Furthermore, the transformer architecture is not proprietary. In the next few years, many companies will be able to create models that can easily compete with Google’s BERT. If that happens, even Google could see it lose its historic place as the top search engine.
Impact of GPT 3 on Search
Content is the foundation of SEO. For content to rank on SERP, readability, keywords, keyword counts, etc. are the main factors. On the other hand, GPT3 content is of quality. If paired with tools that help you identify the critical ranking parameters, ranking on SERP becomes so much easier.
What GPT-3 means for SEO is that it helps increase the speed of writing quality content as an obedient assistant.
Unfortunately, it seems that many or most of the GPT-3 programs may have a dark effect on the search ecosystem. It may create a new breed of spam undetectable by both bots and human users. To begin with, GPT3 can master black hat SEO with
- Massive blogspam sites – Since the content will be written by GPT3, it will not be garbage. But since the internet doesn’t forget, it may mine up old and outdated information. These contents will be riddled with errors when without human intervention.
- Creating propaganda masking the sponsor, which appears to be user-generated content.
- Review manipulation on a big scale undetectable by human users
- Creating fake news for link-building or social media purposes
We are heading towards a large-scale bombardment of content that might lead to confusion. It might bring in new challenges for brands looking to build trust.
Impact of GPT 3 on eCommerce
GTP-3 can allow you to create product descriptions at scale for commercial websites. Writing detailed product content, are an important but time-consuming aspect of ecommercce. GPT3 can drastically reduce the time and effort invested.
But what it also brings is a barrage of fake reviews, which over time will compromise the trustability of the product
Is it possible for Google to detect whether a text is from GPT3?
Yes and no; in theory, Google could most likely detect a text is being generated by GPT3 if they created a system for it.
There is no indication that Google does this when indexing and ranking different content.
In a much-cited interview with John Mueller from Google in April 2022, he is asked whether Google can understand the difference between whether a human or an AI algorithm generates the content, to which he responds, “I can’t claim that.”
In general, this interview led to huge interest and debate because John Muller also compared AI-generated content to be automatically generated and thereby spam, as was the previous stand of Google in its Google Search Essentials (formerly Webmaster Guidelines).
This is not the stance of Google on AI content anymore. As mentioned before, GPT-3’s capacity to generate accurate and relevant content makes it a great asset for SEO purposes. Its understanding of context, sentence structure, and natural language processing capabilities makes it easy for webmasters to optimize their pages according to search engine standards. Its capacity to generate readable copy at scale makes it even more valuable to the industry.
Additionally, GPT-3’s advanced algorithms are more precise than those of other AI technologies. As such, its output is more likely to be properly indexed and ranked by Google’s algorithms since it follows better syntax and grammar rules than other models. All of these advantages make GPT-3 an ideal tool for webmasters who are looking to increase their organic visibility within search engine results pages (SERPs).
Another great thing about using GPT-3 for SEO is that it allows webmasters to generate more content faster than ever before – thus making their website more attractive to search engine crawlers. Moreover, GPT-3’s automated content generation capabilities reduce the time spent creating and updating website content, meaning webmasters have more time to focus on optimizing their sites for maximum visibility.
As because GPT-3 understands user intent, it can deliver content that is tailored to meet users’ needs – further improving organic rankings. Moreover, GPT-3 is capable of generating content in multiple languages, so websites can now reach an international audience.
More over Google uses BERT to identify natural language. It is a different model and has no relation with GPT3. BERT is bidirectional while GPT3 is an autoregressive model. BERT is good at sentimental analysis. If GPT3 content is infused with humane elements like tone of voice and sentiment BERT will identify it as just as normal human text.
What is Google BERT?
BERT (Bidirectional Encoder Representations from Transformers) is a deep-learning language model developed by Google. It is used to pre-train natural language processing (NLP) systems for a variety of tasks and has been shown to achieve state-of-the-art results in many NLP tasks. It was developed to understand the context of words in a sentence by taking into account both the left and right context, rather than just the left context, as was done by previous models.
This allows BERT to better understand the nuances and context of words in a sentence and capture the natural language patterns. It may be difficult for BERT to identify GPT3 (Generative Pre-trained Transformer 3), which is another deep-learning language model developed by OpenAI. GPT3 is trained using a large amount of unsupervised data and is designed to generate human-like text.
The benefit of GPT-3 against BERT is that it does not require enormous data for training. As a result, GPT-3 has become a preferred language modeling tool for its advanced capabilities. It provides a different learning approach, where there is no need for large labeled data for solving new tasks.
Limitations of GPT3
AI’s influence and potential remain unequaled; in the practice of AI there is some discussion that the model is no different than a transformer. All of the impressively good language generated can solely be attributed to the extreme power, scale, and the multitude of resources the model utilizes for training.
It’s being said that GPT-3 is a long way from reaching Artificial General Intelligence (AGI), so let’s go over this more. With human intervention, GPT-3 is capable of performing a gamut of operations. It can write code; compose prose and fiction; generate business memos, among many others. However, GPT-3 has no internal representation of what each of these words means.
Consequently, GPT-3 does not use semantically-based models of the world and of the topics it discourses about. It uses only statistical computations and does not take into account the content of the inputs or outputs. Sometimes this could be a huge problem as the output may comprise of those old redundant data that is there on the internet. Sometimes, it may have self-contradicting old and new data of the same element put together.
This is important as it indicates that GPT-3 cannot reason abstractly. It lacks the “brain” that humans possess that enables them to write content. Thus, when GPT-3 is faced with content that is different from or unavailable in the Internet’s corpus of existing text that was used for training it, this text generator is at a loss.
The OpenAI researchers themselves acknowledged: “GPT-3 samples [can] lose coherence over sufficiently long passages, contradict themselves, and occasionally contain non-sequitur sentences or paragraphs.”
Another major limitation of GPT-3 is its algorithmic bias. Accepted by OpenAI, GPT-3 is known to have biases towards gender, race, and religion. This arises from biases in training data that reflect societal views and opinions. Thus, this further bolsters the fact that this is not a standalone intelligent system. Hence in terms of pushing the field forward, GPT-3 hasn’t offered much.
10 GPT3 Tools
1. GPT–3 Playground: GPT–3 Playground is an interactive web–based tool for experimenting with GPT–3. Users can explore the capabilities of GPT–3 and create their own text–generating projects.
2. Chat GPT3: It is a sibling model to InstructGPT, which is trained to follow instructions in a prompt and provide a detailed response.
3. HuggingFace GPT–3: The HuggingFace GPT–3 API is a powerful, open–source with a large–scale transformer–based language model. It can generate human–like text for a variety of tasks.
4. Viable: One of the best GPT-3 writing tools is Viable. It provides customer support to assist businesses in improving their offerings
5. Replika: Replika is an AI–powered chatbot and virtual companion powered by GPT–3. It can learn about the user, respond to questions, and provide companionship.
7. Botnik: Botnik is an AI–powered content creation platform powered by GPT–3. It can generate stories, jokes, and other text–based content.
8. Writesonic: Writesonic is one of the best artificial intelligence-powered copywriting GPT-3 tools. It is used to develop interesting content for websites and social media platforms.
9. Anyword: It is one of the best copywriting AI GPT-3 tools that forecast performance scores, allowing you to make better decisions.
10: Magic Sales Bot: It generates personalized sales emails based on your social media trends and target demographic. Magic Sales Bot automatically obtains the LinkedIn profiles and mailing addresses of every target firm and even provides insight into your prospects’ purchasing patterns.
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About the Author - Anirban Guha
Anirban Guha is an MBA graduate from Amity University, Noida. Starting his career with The Times of India Group, he has spent over 16 years in advertising and has been the founder-director of an award-winning digital marketing agency, Tejom Digital for over 6 years. He has worked with some of the top brands in India and beyond. He is an expert in creative design and digital marketing. He is passionate about helping businesses reach their goals. Beside his professional life, Anirban is an avid reader, a movie buff, a passionate gardener, an art enthusiast, and a foodie.