Our social media channels are buzzing with talk of GPT-3 (Generative Pre-trained Transformer 3) and the potential it has to revolutionise not just SEO but a wide range of industries.
But what is GPT-3?
GPT-3 is an artificial intelligence system with natural language processing capabilities that can be used to automate a variety of tasks such as text summarisation, question answering, and even generating human-like natural language.
GPT-3 leverages a massive dataset of billions of words to generate natural-sounding responses and can learn from the input given. GPT-3 has been built with a lot of potential for SEO, making it a valuable tool for search engine optimisation.
The GPT-3 algorithm can be used to produce content that is tailored to the search intent of the user and is optimised for SEO. Capable of generating content faster than any human writer without compromising on quality or accuracy – GPT-3 can also help generate meta tags and titles, which are essential for good SEO.
But does this work in practice, and will existing clients, customers and Google know the difference?
GPT-3 & SEO Practices
At this early stage, GPT-3 is being used in experiments by SEO professionals to test the accuracy and effectiveness of GPT – and because we are a data-driven SEO agency at the forefront of technologies to improve SEO, we have been participating in GPT-3 experiments in-house.
So far, the results have been positive, and our team has seen improved accuracy in GPT-3 generated content by carefully manipulating prompts.
However, GPT-3 is still in its early stages so it won’t be suitable for all SEO applications. GPT-3 may not be able to produce optimised long-form content or generate complex technical SEO copy that requires detailed SEO knowledge.
But GPT-3 can still be an invaluable tool for SEO, with the potential to generate content faster and more accurately.
Note: GPT-3 refers to Generative Pre-trained Transformer 3, an artificial intelligence system with natural language processing capabilities. GPT-3 Chat is a tool that uses GPT-3 to generate natural language responses.
Create A Keyword Strategy
Simply input your keyword (we used ‘SEO agency’), and GPT3 will create a keyword/content strategy and output the results in a table format.
Now, of course, you should carry out more detailed keyword research around volume, difficulty, SERP results and competitor analysis – but it does give you some initial ideas to start with and offers a way to automate some SEO tasks!
Blog Post Briefs
This prompt could be used for GPT3 to create a blog post brief – GPT3 will take the topic and subtopics and generate a unique, detailed blog post brief.
This is a great tool for when you want to outsource content creation, as GPT3 can create detailed briefs that include all the information a writer will need to create a blog post (we used the term SERP in our query).
Again, this ‘outline’ throws up some interesting topics and subtopics that could be used in your content brief to submit to your in-house content team or third parties.
Optimise Titles & Meta Descriptions
Next, we used GPT-3 with the prompt’ create an engaging SEO optimised meta title and description for a blog post titled ‘Everything You Need To Know About The People Also Ask Boxes.
Here are the results from this:
Meta Title: “People Also Ask Boxes: Everything You Need To Know”
Meta Description: A comprehensive guide to understanding People Also Ask boxes on Google search. Get insights on how they work and how to use them.
Not too bad eh? How about an e-commerce product?
Meta Title: “Nike Air Max 270: The Ultimate Trainer”
Meta Description: Discover the comfort and style of Nike Air Max 270 trainers. Get a closer look at their features and find the perfect pair for you.
Both of these outputs are pretty good! The best thing is you can use them as an outline and add your own twist to get a fully optimised meta title and description.
There are tons of keyword tools around – but we wanted to see if GPT3 was any good at it!
We used the keyword ‘security cameras’, and it churned out a list of 50 – not a bad list to start exploring some opportunities from!
Here they are:
- IP camera
- Night vision
- Motion detection
- Remote viewing
- Smart home
- Audio recording
- Video storage
- Access control
- Web access
- Mobile app
- Power over Ethernet
- Data privacy
- Cloud storage
- Event management
- Face recognition
- Object detection
- Heat mapping
- License plate recognition
- Multi-camera systems
- Coaxial cable
- 4K resolution
- Smart search
- Wi-Fi connectivity
- Video compression
- AES encryption
- MicroSD card recordings
We had no idea what some of these words or phrases meant – but it could lead to some golden keyword ideas our in-house team may not have thought about.
Find Relevant Sites
A rather interesting prompt that finds topical websites based around your target topic or keyword. This is definitely a useful AI tool for eCommerce SEO.
Let’s give it a try using the keyword ‘kayaks’:
A fairly basic list that still requires some deeper competitor analysis! We googled ‘kayaks’ to find out how close GPT3 came……
- Dicks Sporting Goods
- Outdoor Gear Lab
- Tractor Supply
- Vibe Kayaks
- Old Town Canoe
- Santa Cruz Kayaks
- Bass Pro
GPT3 correctly found 4 out of 10 related websites to our keyword – this is because the data model GPT3 uses is slightly outdated (up to 2021, we believe).
This GPT3 prompt could be used to discover relevant sites – there’s no guarantee they’d all be competitors (some of GPT3’s results were irrelevant!) – but it does give you some initial ideas to start with!
FAQ Mark Up Generator & Schema Markup
We found this prompt to be really helpful when working with our developers to implement the correct FAQ schema on one of our recent blog posts!
You simply input a URL, and the GPT3 prompt will collect any FAQS it finds on the webpage and matches them up with the correct JSON-LD Markup – fantastic!
This prompt helps users with any Excel based questions – although not particularly for SEO, we know many agencies and businesses that utilise Excel for collecting data, reports, and analysis.
We wanted to test this out – so we asked it to create a formula for calculating the length of our meta title list (between 50 and 70 characters) – we know the answer is LEN(“CELL to count)…..
Question: A formula for counting the length of text in a cell.
Answer: The formula for counting the length of text in a cell in Microsoft Excel is “=LEN(cell reference)”. Simply replace “cell reference” with the address of the cell you want to count the text length for, such as “A1”. The result will be the number of characters in the cell, including spaces. For example, “=LEN(A1)” would return the text length in cell A1.
Now that’s quite a comprehensive to a basic Excel question!
What about blog post titles? We prefer the letter of each word to be capitalised, so we asked it if it knew how to achieve this….
Question: How do I capitalise the first letter of every word in a cell?
Answer: To capitalise the first letter of every word in a cell in Microsoft Excel, you can use the “=PROPER(cell reference)” formula. Replace “cell reference” with the address of the cell you want to change. For example, “=PROPER(A1)” would return the contents of cell A1 with the first letter of each word capitalised. Another way to achieve the same result is to use the “=UPPER(LEFT(cell reference,1)) & MID(cell reference,2,LEN(cell reference))” formula. This formula capitalises the first letter of a word. Then it concatenates the rest of the word to the capitalised letter, resulting in the first letter of each word being capitalised.
Well…it actually gave us a couple of solutions to capitalise on our blog post titles. Very impressive, and I can see how this prompt could help plenty of SEO experts and businesses with Excel issues!
How Much Is Chat GPT3?
Chat GPT 3 is an open-source version of GPT-3, and pricing varies depending on the number of tokens used.
Typical prices are set out for 1,000 tokens – which is around 750 words. There are currently 4 base models – offering slightly different tiers of pricing.
If you sign up with OpenAI (Chat GPT3), you’ll get $18 in free credits for your first three months.
This allows you to start experimenting with prompts and GPT-3 related activities – and decide if GPT-3 is a good fit for you and your business.
After that, you can opt to sign up for a pay-as-you-go model.
What is a Chat GPT3 Token?
Tokens can be thought of as individual parts of words that are utilised in natural language processing.
On average, one token consists of around 4 characters or 0.75 words of English text (other languages cost more).
As a way of comparison, the full collection of William Shakespeare’s works is approximately 900,000 words or 1.2 million tokens – an impressive feat for any author!
Final Thoughts: Why You Should Consider GPT3 & SEO
GPT-3 has a lot to offer the SEO world. It can help answer complex queries quickly and accurately, as GPT-3 is trained on large amounts of text data that it has learned from.
It can also provide users with more comprehensive answers than traditional search engines, as GPT-3 can process natural language queries.
GPT-3 also has the potential to improve content generation and automated writing tasks, allowing businesses to generate more accurate and relevant content faster than ever before.
Overall, GPT-3 provides a unique opportunity for SEO experts and businesses alike as it can provide them with increased accuracy, speed up complex tasks, and create new opportunities.
For us, learning how best to fit GPT3 for SEO into our own business activities has been a great experience. GPT-3 is an incredibly powerful tool, and we believe that it will become increasingly important to SEOs in the years to come.
We are excited to see where GPT-3 technology goes and what new opportunities this opens up for businesses across the world! If it’s something on your radar too, let’s talk!