ChatGPT
ChatGPT is a revolutionary technology (because it’s trained to learn what humans mean when they ask a question) that will significantly change how we work, adding on to existing technological advancements. It may be the most important tool since modern search engines.
Many users are awed at its ability to provide human-quality responses, inspiring the feeling that it may eventually have the power to disrupt how humans interact with computers and change how information is retrieved. OpenAI introduced a long-form question-answering AI called ChatGPT that answers complex questions conversationally.
The data that ChatGPT was trained on is from the third quarter of 2021 and based on what is available on the internet, which may contain misinformation and outdated. That means fact-checking and revising ChatGPT’s answers are mandatory, so you don’t fall into trap of errors made by the machine.
ChatGPT can solve advanced tasks, and helpful in ones daily life, not just for SEO and Digital Marketing.
What Is ChatGPT?
ChatGPT is a large language model chatbot developed by OpenAI based on GPT-3.5.
It has a remarkable ability to interact in conversational dialogue form and provide responses that can appear surprisingly human.
Large language models perform the task of predicting the next word in a series of words.
Reinforcement Learning with Human Feedback (RLHF) is an additional layer of training that uses human feedback to help ChatGPT learn the ability to follow directions and generate responses that are satisfactory to humans.
Who Built ChatGPT?
ChatGPT was created by San Francisco-based artificial intelligence company OpenAI.
OpenAI Inc. is the non-profit parent company of the for-profit OpenAI LP. OpenAI is famous for its well-known DALL·E, a deep-learning model that generates images from text instructions called prompts.
The CEO is Sam Altman, who previously was president of Y Combinator.
Microsoft is a partner and investor in the amount of $1 billion dollars. They jointly developed the Azure AI Platform.
Large Language Models
ChatGPT is a large language model (LLM). Large Language Models (LLMs) are trained with massive amounts of data to accurately predict what word comes next in a sentence.
It was discovered that increasing the amount of data increased the ability of the language models to do more.
LLMs predict the next word in a series of words in a sentence and the next sentences – kind of like autocomplete, but at a mind-bending scale. This ability allows them to write paragraphs and entire pages of content.
But LLMs are limited in that they don’t always understand exactly what a human wants.
And that’s where ChatGPT improves on state of the art, with the aforementioned Reinforcement Learning with Human Feedback (RLHF) training.
GPT-3
GPT-3 has 175 billion parameters and was trained on 570 gigabytes of text. For comparison, its predecessor, GPT-2, was over 100 times smaller at 1.5 billion parameters.
This increase in scale drastically changes the behavior of the model — GPT-3 is able to perform tasks it was not explicitly trained on, like translating sentences from English to French, with few to no training examples.
This behavior was mostly absent in GPT-2. Furthermore, for some tasks, GPT-3 outperforms models that were explicitly trained to solve those tasks, although in other tasks it falls short.
How Was ChatGPT Trained?
GPT-3.5 was trained on massive amounts of data about code and information from the internet, including sources like Reddit discussions, to help ChatGPT learn dialogue and attain a human style of responding.
ChatGPT was also trained using human feedback (a technique called Reinforcement Learning with Human Feedback) so that the AI learned what humans expected when they asked a question. Training the LLM this way is revolutionary because it goes beyond simply training the LLM to predict the next word.
A March 2022 research paper titled Training Language Models to Follow Instructions with Human Feedback explains why this is a breakthrough approach:
“This work is motivated by our aim to increase the positive impact of large language models by training them to do what a given set of humans want them to do.
By default, language models optimize the next word prediction objective, which is only a proxy for what we want these models to do.
Our results indicate that our techniques hold promise for making language models more helpful, truthful, and harmless.
Making language models bigger does not inherently make them better at following a user’s intent.
For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user.
In other words, these models are not aligned with their users.”
The engineers who built ChatGPT hired contractors (called labelers) to rate the outputs of the two systems, GPT-3 and the new InstructGPT (a “sibling model” of ChatGPT).
Based on the ratings, the researchers came to the following conclusions:
“Labelers significantly prefer InstructGPT outputs over outputs from GPT-3.
InstructGPT models show improvements in truthfulness over GPT-3.
InstructGPT shows small improvements in toxicity over GPT-3, but not bias.”
What sets ChatGPT apart from a simple chatbot is that it was specifically trained to understand the human intent in a question and provide helpful, truthful, and harmless answers.
ChatGPT Examples For Digital Marketers & SEOs
ChatGPT launched in 2022 and people were initially having a gala time using it. Some were writing poetry, others were using it to compose music, write essays and much more.
Analytics and Data.
Digital Marketing.
Productivity.
Technical SEO.
Keyword Research.
On-Page SEO
A. Examples Of ChatGPT For Analytics And Data
1. Compose Regular Expressions In Analytics Reporting
Regular expressions can be used in composing analytic reports such as Google Search Console (GSC) or Google Analytics (GA).
Regular expressions are one of the most boring tasks known, and it may really slow down work. For marketers, it is even tougher, as they typically don’t have a technical background.
2. Compose Complex Spreadsheet Formulas
Everyone works with Excel or Google Sheets at some time.
Spreadsheets are a part of daily work life for many of us. But composing spreadsheet formulas can be arduous, as you must research to find the function name you need and then spend 10 to 15 minutes figuring out how to make it work.
3. Composing SQL queries
With the introduction of GA4, marketers may often need to fetch data from BigQuery, as Google now offers a free connection of GA4 to BigQuery.
To query the dataset, you would need to learn SQL – or just ask ChatGPT to build a specific query for you to extract valuable data without sampling from the dataset.
B. Examples Of ChatGPT For Digital Marketing
When using ChatGPT for market research and your brand marketing, always remember that it was trained on data up to the third quarter of 2021 and thus may not be the best tool for dealing with current trends.
4. Generate Audience Personas
Let’s say you’ve launched a new SaaS company and want to know who your audience is so that you can build your marketing efforts around them.
You can ask ChatGPT to create audience personas.
5. SWOT Analysis
This is a really cool prompt you can use for your brand or competitive analysis.
You can ask to do a SWOT analysis of any company.
6. S.M.A.R.T. Goals
SMART goals are important because they provide a clear framework for setting and achieving objectives.
With ChatGPT, you can get ideas for your company using the prompt S.M.A.R.T. goals for SaaS.
7. Craft A Newsletter
You can use ChatGPT to craft an outline for the newsletter campaign you want to run.
Let’s say you have a sale on Black Friday and want to send a newsletter to promote your offer.
C. Examples Of ChatGPT For Productivity
8. Craft Pitch Emails
Again, if you are a SaaS startup, you definitely need to sell your software. Your sales team needs to pitch prospective customers and respond to hundreds of emails, which is exhausting and can be a slow process.
Increasing the productivity of your sales team can help you sell more and increase your revenue.
9. Craft A Social Media Post
Let’s say you’ve published articles and want to push them to social media.
You would need a well-crafted and compelling text to post on social media so that users will click on your post.
We bet you would spend at least 15 minutes composing such a compelling social media post. But now, you can do it in one minute.
10. Write Ad Copy
If you are a PPC marketer, you deal a lot with creating ad copy – and having an extra resource to provide you with thought starters could save hundreds of hours a month for you.
You may also include blog post article text from which to generate the ad copy, which will be more specific to you.
11. Craft A Job Description
All companies need to hire, meaning they must write job descriptions. Now, ChatGPT can help with that, too.
Always remember you can finetune the prompt by adding more details to it, which will make the answer even better.
D. Examples Of ChatGPT For Technical SEO
12. Generate FAQ Schema
You can have ChatGPT generate FAQ schema code from a text you provide.
Of course, you may use a CMS plugin for that, too. But what if you use Wix, for example, which doesn’t have a plugin? Should you copy and paste schema code into the editor? In this case, ChatGPT is a handy tool and assistant at your disposal.
You can generate any kind of schema by using a similar example.
13. Generate HowTo Schema
In the case of the HowTo schema, you can enter a similar prompt as we did for FAQ, and ChatGPT will do 99% of the job.
Why 99% and not 100%? Simply because you need to replace sample image URLs. It did, however, add HowTo schema steps with real images.
Just upload images in your CMS and replace the sample image path in the suggested schema.
14. Create Robots.txt Rules
SEO pros deal with robots.txt a lot.
Now you have a tool that can help you create any robots.txt rules with ease.
An example of how to prevent Google from crawling your PPC campaign landing pages, which are located in directory /landing/but let Google ads bot in.
15. Generate htaccess Redirect Rules
SEO pros often deal with migrations and may need to redirect a lot of stuff, depending on what type of server one has.
You can now generate htaccess or Nginx redirect rules using ChatGPT.
16. Connect To APIs And Coding
SEO pros often need to connect to various APIs and fetch data, but may lack programming skills.
Now you have ChatGPT at your disposal for basic tasks which require programming.
You can ask ChatGPT to get Google autosuggestion using the known “pytrends” library.
You can basically use ChatGPT for coding in all programming languages.
If you are a PPC marketer who wants to set up custom conversions when users perform certain actions on the website but don’t have a web developer’s help, it could be quite challenging in some situations.
Yes, you can use Google Tag Manager in many cases when users click on the link, but you could need something different, which is not a built-in feature of GTM.
For example, you need to send a conversion event when one lands on your landing page and scrolls through 35% of the page. Now, you don’t need to hire a developer to get the job done. Just go to ChatGPT and ask: Send Facebook pixel custom conversion event once as users scroll through 35% of the page using JavaScript, and it will do the magic! You can copy and paste the generated code in yourtag of HTML, and you are done - voila !!!
If you have a WordPress site, you can use plugins such WPCode to make the job easier.
Alternatively, you can use Google Tag Manager custom HTML tag to add your JavaScript code there.
It saves you the time of having to find a developer for small daily tasks. And even if you do have a dev team, you can significantly reduce their workload by doing it yourself.
E. Examples Of ChatGPT For Keyword Research
17. Get Keyword Ideas
An example prompt you can use is Generate a list of long and short tail keyword ideas on the topic “machine learning.”
Now SEO tools have a serious competitor that’s free to use. The only caveat is that, as we’ve mentioned already, ChatGPT is trained on data up to the third quarter of 2021 and isn’t connected to the internet. Thus, it may fail to work in cases when you need more recent data.
18. Get The Search Intent Of The Search Query
You have a lot of data in your GSC, which now you can copy and paste into ChatGPT to get more insights.
For example, you can copy-paste a list of search queries and ask for the intent of the query using the prompt: What is the user intent behind these queries?
19. Cluster Semantically Relevant Keywords
Again, you can use ChatGPT to organize the keywords you rank for – and not only those – into clusters: Cluster list of keywords based on their semantic relevance.
Another case is to identify pages that rank for semantically relevant queries and restructure your URLs under silos.
For example, bring all pages that are about social media or under /social-media/ silo, which can help you boost ranking and help Google better understand your website structure.
20. Generate Related Keywords And Synonyms
It is always good to mention your content-related keywords and synonyms. You can do it at scale by using ChatGPT.
21. Generate Article Titles Based On Keywords
As you have keywords you want to write articles about, it is time to brainstorm titles for your articles.
F. Examples Of ChatGPT For On-Page SEO
22. Generate Meta Descriptions
You can copy and paste text into ChatGPT and ask it to create a meta description from it.
23. Optimize For PAA Box And Featured Snippets
SEO professionals may need help getting related questions from users to optimize content for a specific keyword.
You can use ChatGPT to get these related questions to make your content more helpful.
24. Generate FAQ For The Product With Answers
If you have an ecommerce store and want to enhance your product pages with an FAQ section, you can ask ChatGPT to help you.
And you can shoot two rabbits with one shot, as you will also get an FAQ schema you can use.
If you worry about being penalized by Google for AI-written content, I think you are okay as long as you fact-check and revise it for errors.
25. Suggest Heading Tags
Let’s say you have a big chunk of text and want to get ideas about what subheadings to add to make your content more structured.
You can ask ChatGPT to do that time-consuming editorial task for you just by asking, Suggest H2 subheadings to content below without modifying the text.
Of course, it might not always offer exactly what you wanted, but you may play with the prompt and add more context to it – or take ChatGPT hints and work from there by adding your edits to subheadings.
What are the Limitations of ChatGPT?
Limitations on Toxic Response
ChatGPT is specifically programmed not to provide toxic or harmful responses. So it will avoid answering those kinds of questions.
Quality of Answers Depends on Quality of Directions
An important limitation of ChatGPT is that the quality of the output depends on the quality of the input (remember GiGo). In other words, expert directions (prompts) generate better answers.
Answers Are Not Always Correct
Another limitation is that because it is trained to provide answers that feel right to humans, the answers can trick humans that the output is correct. Many users discovered that ChatGPT can provide incorrect answers, including some that are wildly incorrect.
KEY TAKEAWAYS
There are talks that ChatGPT is going to replace humans, and many professions are just going to die out. That may be exaggerated, but ChatGPT will definitely make life easier in different industries and professional fields and reduce the stronghold of developers (cheaper services).
Concerns about the AI chatbot’s potential to replace certain jobs began surfacing and as time goes by, these concerns are getting only stronger by the day. Even Sam Altman, the CEO of ChatGPT’s parent company OpenAI, had admitted that the viral chatbot can eliminate many jobs.
In a recent interview, Sam Altman said that the type of job that can be ‘massively impacted’ by ChatGPT is customer service.
- When ChatGPT was launched, it was banned in some schools in New York as students were using it to write their assignments. However, schools are now warming up to the idea and teachers are reportedly relying on the chatbot.
Some students are already using ChatGPT in tons of creative ways, like using it as a search engine to answer complicated questions with a clear summary, while others are using it to write pros and cons lists for help with decision-making.
The level of context and personalization in information is so much more than what comes from other search engines.
- As ChatGPT API is also available now, various companies have made use of the chatbots in their own applications. Companies like Bain & Co, Salesforce and Snap are using the AI chatbot for various purposes.
- A preliminary paper from two academics in South Korea shows that ChatGPT has some promise as a portfolio manager. The researchers said the early results showed that ChatGPT could be used as a “co-pilot” for investors, but not a “prophet.”
That isn’t too far removed from robo-advisors already in use for many retail brokerages. It also mirrors the plan of at least one financial firm, as Morgan Stanley is already testing an OpenAi-powered chatbot with its financial advisors to help with investment decisions.
The paper — called “Can ChatGPT Improve Investment Decision? From a portfolio management perspective” — found that ChatGPT’s ability to choose from a set of assets outperformed random selection on measures of risk-adjusted return and diversification.
- Gen Z VCs founder Meagan Loyst used ChatGPT to write a new educational children's book self-published on Amazon titled "Show Me What AI Can Do!" on Amazon, in 2 hours.
She managed to "write" and "illustrate" the e-book by using ChatGPT and DALL-E 2 — the two new generative AI technologies that have been released to the public in recent months by the startup, OpenAI.
With a few targeted prompts about a parent explaining to a child named Sarah what AI is and how it works, and then creating the accompanying artwork with DALL-E 2, Loyst finished the book in the span of two hours. Generative AI in education, can be used to promote education rather than undermining it.
- ChatGPT was trained on decades of financial news and data, BloombergGPT aims to be a domain-specific AI for business news.
- Companies including Apple and Google are embracing AI-narrated audiobooks: “It’s a wow moment.”
Make sure also to check out the AIPRM Chrome add-on, as it contains tons of useful prompts you can use.
Many users are awed at its ability to provide human-quality responses, inspiring the feeling that it may eventually have the power to disrupt how humans interact with computers and change how information is retrieved. OpenAI introduced a long-form question-answering AI called ChatGPT that answers complex questions conversationally.
The data that ChatGPT was trained on is from the third quarter of 2021 and based on what is available on the internet, which may contain misinformation and outdated. That means fact-checking and revising ChatGPT’s answers are mandatory, so you don’t fall into trap of errors made by the machine.
ChatGPT can solve advanced tasks, and helpful in ones daily life, not just for SEO and Digital Marketing.
What Is ChatGPT?
ChatGPT is a large language model chatbot developed by OpenAI based on GPT-3.5.
It has a remarkable ability to interact in conversational dialogue form and provide responses that can appear surprisingly human.
Large language models perform the task of predicting the next word in a series of words.
Reinforcement Learning with Human Feedback (RLHF) is an additional layer of training that uses human feedback to help ChatGPT learn the ability to follow directions and generate responses that are satisfactory to humans.
Who Built ChatGPT?
ChatGPT was created by San Francisco-based artificial intelligence company OpenAI.
OpenAI Inc. is the non-profit parent company of the for-profit OpenAI LP. OpenAI is famous for its well-known DALL·E, a deep-learning model that generates images from text instructions called prompts.
The CEO is Sam Altman, who previously was president of Y Combinator.
Microsoft is a partner and investor in the amount of $1 billion dollars. They jointly developed the Azure AI Platform.
Large Language Models
ChatGPT is a large language model (LLM). Large Language Models (LLMs) are trained with massive amounts of data to accurately predict what word comes next in a sentence.
It was discovered that increasing the amount of data increased the ability of the language models to do more.
LLMs predict the next word in a series of words in a sentence and the next sentences – kind of like autocomplete, but at a mind-bending scale. This ability allows them to write paragraphs and entire pages of content.
But LLMs are limited in that they don’t always understand exactly what a human wants.
And that’s where ChatGPT improves on state of the art, with the aforementioned Reinforcement Learning with Human Feedback (RLHF) training.
GPT-3
GPT-3 has 175 billion parameters and was trained on 570 gigabytes of text. For comparison, its predecessor, GPT-2, was over 100 times smaller at 1.5 billion parameters.
This increase in scale drastically changes the behavior of the model — GPT-3 is able to perform tasks it was not explicitly trained on, like translating sentences from English to French, with few to no training examples.
This behavior was mostly absent in GPT-2. Furthermore, for some tasks, GPT-3 outperforms models that were explicitly trained to solve those tasks, although in other tasks it falls short.
How Was ChatGPT Trained?
GPT-3.5 was trained on massive amounts of data about code and information from the internet, including sources like Reddit discussions, to help ChatGPT learn dialogue and attain a human style of responding.
ChatGPT was also trained using human feedback (a technique called Reinforcement Learning with Human Feedback) so that the AI learned what humans expected when they asked a question. Training the LLM this way is revolutionary because it goes beyond simply training the LLM to predict the next word.
A March 2022 research paper titled Training Language Models to Follow Instructions with Human Feedback explains why this is a breakthrough approach:
“This work is motivated by our aim to increase the positive impact of large language models by training them to do what a given set of humans want them to do.
By default, language models optimize the next word prediction objective, which is only a proxy for what we want these models to do.
Our results indicate that our techniques hold promise for making language models more helpful, truthful, and harmless.
Making language models bigger does not inherently make them better at following a user’s intent.
For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user.
In other words, these models are not aligned with their users.”
The engineers who built ChatGPT hired contractors (called labelers) to rate the outputs of the two systems, GPT-3 and the new InstructGPT (a “sibling model” of ChatGPT).
Based on the ratings, the researchers came to the following conclusions:
“Labelers significantly prefer InstructGPT outputs over outputs from GPT-3.
InstructGPT models show improvements in truthfulness over GPT-3.
InstructGPT shows small improvements in toxicity over GPT-3, but not bias.”
What sets ChatGPT apart from a simple chatbot is that it was specifically trained to understand the human intent in a question and provide helpful, truthful, and harmless answers.
ChatGPT Examples For Digital Marketers & SEOs
ChatGPT launched in 2022 and people were initially having a gala time using it. Some were writing poetry, others were using it to compose music, write essays and much more.
Analytics and Data.
Digital Marketing.
Productivity.
Technical SEO.
Keyword Research.
On-Page SEO
A. Examples Of ChatGPT For Analytics And Data
1. Compose Regular Expressions In Analytics Reporting
Regular expressions can be used in composing analytic reports such as Google Search Console (GSC) or Google Analytics (GA).
Regular expressions are one of the most boring tasks known, and it may really slow down work. For marketers, it is even tougher, as they typically don’t have a technical background.
2. Compose Complex Spreadsheet Formulas
Everyone works with Excel or Google Sheets at some time.
Spreadsheets are a part of daily work life for many of us. But composing spreadsheet formulas can be arduous, as you must research to find the function name you need and then spend 10 to 15 minutes figuring out how to make it work.
3. Composing SQL queries
With the introduction of GA4, marketers may often need to fetch data from BigQuery, as Google now offers a free connection of GA4 to BigQuery.
To query the dataset, you would need to learn SQL – or just ask ChatGPT to build a specific query for you to extract valuable data without sampling from the dataset.
B. Examples Of ChatGPT For Digital Marketing
When using ChatGPT for market research and your brand marketing, always remember that it was trained on data up to the third quarter of 2021 and thus may not be the best tool for dealing with current trends.
4. Generate Audience Personas
Let’s say you’ve launched a new SaaS company and want to know who your audience is so that you can build your marketing efforts around them.
You can ask ChatGPT to create audience personas.
5. SWOT Analysis
This is a really cool prompt you can use for your brand or competitive analysis.
You can ask to do a SWOT analysis of any company.
6. S.M.A.R.T. Goals
SMART goals are important because they provide a clear framework for setting and achieving objectives.
With ChatGPT, you can get ideas for your company using the prompt S.M.A.R.T. goals for SaaS.
7. Craft A Newsletter
You can use ChatGPT to craft an outline for the newsletter campaign you want to run.
Let’s say you have a sale on Black Friday and want to send a newsletter to promote your offer.
C. Examples Of ChatGPT For Productivity
8. Craft Pitch Emails
Again, if you are a SaaS startup, you definitely need to sell your software. Your sales team needs to pitch prospective customers and respond to hundreds of emails, which is exhausting and can be a slow process.
Increasing the productivity of your sales team can help you sell more and increase your revenue.
9. Craft A Social Media Post
Let’s say you’ve published articles and want to push them to social media.
You would need a well-crafted and compelling text to post on social media so that users will click on your post.
We bet you would spend at least 15 minutes composing such a compelling social media post. But now, you can do it in one minute.
10. Write Ad Copy
If you are a PPC marketer, you deal a lot with creating ad copy – and having an extra resource to provide you with thought starters could save hundreds of hours a month for you.
You may also include blog post article text from which to generate the ad copy, which will be more specific to you.
11. Craft A Job Description
All companies need to hire, meaning they must write job descriptions. Now, ChatGPT can help with that, too.
Always remember you can finetune the prompt by adding more details to it, which will make the answer even better.
D. Examples Of ChatGPT For Technical SEO
12. Generate FAQ Schema
You can have ChatGPT generate FAQ schema code from a text you provide.
Of course, you may use a CMS plugin for that, too. But what if you use Wix, for example, which doesn’t have a plugin? Should you copy and paste schema code into the editor? In this case, ChatGPT is a handy tool and assistant at your disposal.
You can generate any kind of schema by using a similar example.
13. Generate HowTo Schema
In the case of the HowTo schema, you can enter a similar prompt as we did for FAQ, and ChatGPT will do 99% of the job.
Why 99% and not 100%? Simply because you need to replace sample image URLs. It did, however, add HowTo schema steps with real images.
Just upload images in your CMS and replace the sample image path in the suggested schema.
14. Create Robots.txt Rules
SEO pros deal with robots.txt a lot.
Now you have a tool that can help you create any robots.txt rules with ease.
An example of how to prevent Google from crawling your PPC campaign landing pages, which are located in directory /landing/but let Google ads bot in.
15. Generate htaccess Redirect Rules
SEO pros often deal with migrations and may need to redirect a lot of stuff, depending on what type of server one has.
You can now generate htaccess or Nginx redirect rules using ChatGPT.
16. Connect To APIs And Coding
SEO pros often need to connect to various APIs and fetch data, but may lack programming skills.
Now you have ChatGPT at your disposal for basic tasks which require programming.
You can ask ChatGPT to get Google autosuggestion using the known “pytrends” library.
You can basically use ChatGPT for coding in all programming languages.
If you are a PPC marketer who wants to set up custom conversions when users perform certain actions on the website but don’t have a web developer’s help, it could be quite challenging in some situations.
Yes, you can use Google Tag Manager in many cases when users click on the link, but you could need something different, which is not a built-in feature of GTM.
For example, you need to send a conversion event when one lands on your landing page and scrolls through 35% of the page. Now, you don’t need to hire a developer to get the job done. Just go to ChatGPT and ask: Send Facebook pixel custom conversion event once as users scroll through 35% of the page using JavaScript, and it will do the magic! You can copy and paste the generated code in yourtag of HTML, and you are done - voila !!!
If you have a WordPress site, you can use plugins such WPCode to make the job easier.
Alternatively, you can use Google Tag Manager custom HTML tag to add your JavaScript code there.
It saves you the time of having to find a developer for small daily tasks. And even if you do have a dev team, you can significantly reduce their workload by doing it yourself.
E. Examples Of ChatGPT For Keyword Research
17. Get Keyword Ideas
An example prompt you can use is Generate a list of long and short tail keyword ideas on the topic “machine learning.”
Now SEO tools have a serious competitor that’s free to use. The only caveat is that, as we’ve mentioned already, ChatGPT is trained on data up to the third quarter of 2021 and isn’t connected to the internet. Thus, it may fail to work in cases when you need more recent data.
18. Get The Search Intent Of The Search Query
You have a lot of data in your GSC, which now you can copy and paste into ChatGPT to get more insights.
For example, you can copy-paste a list of search queries and ask for the intent of the query using the prompt: What is the user intent behind these queries?
19. Cluster Semantically Relevant Keywords
Again, you can use ChatGPT to organize the keywords you rank for – and not only those – into clusters: Cluster list of keywords based on their semantic relevance.
Another case is to identify pages that rank for semantically relevant queries and restructure your URLs under silos.
For example, bring all pages that are about social media or under /social-media/ silo, which can help you boost ranking and help Google better understand your website structure.
20. Generate Related Keywords And Synonyms
It is always good to mention your content-related keywords and synonyms. You can do it at scale by using ChatGPT.
21. Generate Article Titles Based On Keywords
As you have keywords you want to write articles about, it is time to brainstorm titles for your articles.
F. Examples Of ChatGPT For On-Page SEO
22. Generate Meta Descriptions
You can copy and paste text into ChatGPT and ask it to create a meta description from it.
23. Optimize For PAA Box And Featured Snippets
SEO professionals may need help getting related questions from users to optimize content for a specific keyword.
You can use ChatGPT to get these related questions to make your content more helpful.
24. Generate FAQ For The Product With Answers
If you have an ecommerce store and want to enhance your product pages with an FAQ section, you can ask ChatGPT to help you.
And you can shoot two rabbits with one shot, as you will also get an FAQ schema you can use.
If you worry about being penalized by Google for AI-written content, I think you are okay as long as you fact-check and revise it for errors.
25. Suggest Heading Tags
Let’s say you have a big chunk of text and want to get ideas about what subheadings to add to make your content more structured.
You can ask ChatGPT to do that time-consuming editorial task for you just by asking, Suggest H2 subheadings to content below without modifying the text.
Of course, it might not always offer exactly what you wanted, but you may play with the prompt and add more context to it – or take ChatGPT hints and work from there by adding your edits to subheadings.
What are the Limitations of ChatGPT?
Limitations on Toxic Response
ChatGPT is specifically programmed not to provide toxic or harmful responses. So it will avoid answering those kinds of questions.
Quality of Answers Depends on Quality of Directions
An important limitation of ChatGPT is that the quality of the output depends on the quality of the input (remember GiGo). In other words, expert directions (prompts) generate better answers.
Answers Are Not Always Correct
Another limitation is that because it is trained to provide answers that feel right to humans, the answers can trick humans that the output is correct. Many users discovered that ChatGPT can provide incorrect answers, including some that are wildly incorrect.
KEY TAKEAWAYS
There are talks that ChatGPT is going to replace humans, and many professions are just going to die out. That may be exaggerated, but ChatGPT will definitely make life easier in different industries and professional fields and reduce the stronghold of developers (cheaper services).
Concerns about the AI chatbot’s potential to replace certain jobs began surfacing and as time goes by, these concerns are getting only stronger by the day. Even Sam Altman, the CEO of ChatGPT’s parent company OpenAI, had admitted that the viral chatbot can eliminate many jobs.
In a recent interview, Sam Altman said that the type of job that can be ‘massively impacted’ by ChatGPT is customer service.
- When ChatGPT was launched, it was banned in some schools in New York as students were using it to write their assignments. However, schools are now warming up to the idea and teachers are reportedly relying on the chatbot.
Some students are already using ChatGPT in tons of creative ways, like using it as a search engine to answer complicated questions with a clear summary, while others are using it to write pros and cons lists for help with decision-making.
The level of context and personalization in information is so much more than what comes from other search engines.
- As ChatGPT API is also available now, various companies have made use of the chatbots in their own applications. Companies like Bain & Co, Salesforce and Snap are using the AI chatbot for various purposes.
- A preliminary paper from two academics in South Korea shows that ChatGPT has some promise as a portfolio manager. The researchers said the early results showed that ChatGPT could be used as a “co-pilot” for investors, but not a “prophet.”
That isn’t too far removed from robo-advisors already in use for many retail brokerages. It also mirrors the plan of at least one financial firm, as Morgan Stanley is already testing an OpenAi-powered chatbot with its financial advisors to help with investment decisions.
The paper — called “Can ChatGPT Improve Investment Decision? From a portfolio management perspective” — found that ChatGPT’s ability to choose from a set of assets outperformed random selection on measures of risk-adjusted return and diversification.
- Gen Z VCs founder Meagan Loyst used ChatGPT to write a new educational children's book self-published on Amazon titled "Show Me What AI Can Do!" on Amazon, in 2 hours.
She managed to "write" and "illustrate" the e-book by using ChatGPT and DALL-E 2 — the two new generative AI technologies that have been released to the public in recent months by the startup, OpenAI.
With a few targeted prompts about a parent explaining to a child named Sarah what AI is and how it works, and then creating the accompanying artwork with DALL-E 2, Loyst finished the book in the span of two hours. Generative AI in education, can be used to promote education rather than undermining it.
- ChatGPT was trained on decades of financial news and data, BloombergGPT aims to be a domain-specific AI for business news.
- Companies including Apple and Google are embracing AI-narrated audiobooks: “It’s a wow moment.”
Make sure also to check out the AIPRM Chrome add-on, as it contains tons of useful prompts you can use.