Use of Artificial Intelligence in Marketing
Posted: Mon Dec 09, 2024 6:14 am
What is Generative AI?
Generative AI is a type of artificial intelligence that can produce various content such as text, video, audio, and visuals using human input. Generative AI, which uses language learning models, uses these models to learn various patterns and thoughts and to create something new from the commands given creatively, productively, and quickly.
In language learning models, the process works as follows: Models are given a text and they predict the next text/word sequence. Language models use most of the information on the internet to create a foundation in various languages and topics. Models that absorb a lot of content eventually learn how people speak, write or produce. They develop each piece of information with the given contexts and provide better outputs.
There are two main language models used in Generative AI, namely natural language processing (NLP) and artificial neural networks (ANN). While NLP uses specific rules to learn from existing text, the ANN model uses data to establish new relationships between existing elements.
You can access Generative AI from various tools or language models. Usually, tools use more than one artificial intelligence model to choose the right model for different conditions. In this way, they create something that meets the user's needs. It is estimated that many new models will emerge in the coming periods.
What is AI Marketing?
AI Marketing is when marketers use artificial intelligence to create better content to gain insight into their target audience and customers. Artificial intelligence marketing includes various marketing assets such as chatbots, advertising, and content production. In this way, you can optimize your marketing processes.
Thanks to artificial intelligence, your data collection process is faster, you learn the behavior of your customers and target audience, and you can easily create your marketing plan by analyzing this data.
With artificial intelligence being frequently mentioned in recent times, the rate of companies using artificial intelligence as a marketing tool is also increasing. Let's examine a few areas where artificial intelligence is used in marketing.
Where Do Marketers Use Artificial Intelligence?
Content Production
The number of tools that produce content from scratch is increasing. In addition, you can create your captions and titles for your social media posts using artificial intelligence, and you can produce the subject lines and content of your emails using artificial intelligence. However, content produced with AI must be checked because, although artificial intelligence produces good results in this regard, it cannot be said that the content created is ready to be published immediately. The biggest reason why artificial intelligence is used in marketing, especially for content production, is to create content faster and not waste time.
Let's take a look at the copy.ai tool , which allows you to produce content with artificial intelligence :
When you enter a prompt for the type of content you want, your content is generated within seconds:
You can examine the tool that you can use in many areas such as creating blog posts, headlines, social media text, and make your content creation process easier.
If you are curious about and want to examine various tools that you can use to create content with AI, you can take a look at this article . In addition, the number of tools used to detect whether a content is produced by AI or a human is also quite high. You can also explore the tools that will help you detect who created a content by reviewing our article on this subject.
Chatbot
Chatbots are tools that allow users to receive information and perform transactions via messaging. Chatbots, which have been used for years, are created using the natural language processing (NLP) model. Thanks to these bots, customers and users visiting the website can get answers to their questions. Chatbots can answer repeated questions and help solve users' problems.
Participants in a study conducted by Drift were asked what overseas chinese in uk data they would most like to use a chatbot for. Participants’ answers to this question were to solve a problem, get a detailed explanation, and be able to quickly reach a live customer representative.
Today, the areas where chatbots are frequently used are banking, e-commerce, healthcare and call centers.
If we take a look at Drift , the chatbot is trained to answer questions outside of a pre-programmed path. In this way, the user can get an answer to a question that has not been loaded into the system. You can try Drift's chatbot and improve your customer experience by developing your artificial intelligence model with GPT.
Email Marketing
Using AI in email marketing can help you enrich your email content and analyze your email list. Using AI in email marketing allows you to create useful campaigns with less time. The tools you can use in this regard allow you to create the content you want to write with the right tone with the help of AI.
Let's take a look at a few ways you can use AI in your email marketing strategy:
Determining topics with AI and increasing click-through rates
Creating personalized email texts
Predicting future conversions by performing historical analysis
New customer acquisition
A/B testing
All of these uses help with processes such as engagement, conversion, sales and revenue growth. You can review the SalesHandy tool to make your email marketing strategy AI-powered. SalesHandy is a tool designed for cold emailing. With the tool, you can create email campaigns, prepare emails for potential customers, create subject lines and test different email variations.
SEO
One of the biggest contributions of AI to SEO is optimizing content for search engines. AI algorithms can analyze a website, select keywords that can help improve rankings, and allow you to track your competitors’ activities.
By using AI-powered tools for effective keyword selection, you can see the strengths and weaknesses of your website, and make your keyword selection correctly with tools that measure the competition of the word. For original content production, you can create meta titles and descriptions, blog content and many other content with AI-powered content generation tools. However, instead of having AI create the entire text, examining the text and making edits to the text will give a better result.
By adapting your SEO strategy to artificial intelligence, you can optimize your workflows and get more successful results. By reviewing this article where we explain the use of artificial intelligence in SEO , you can learn how to use artificial intelligence in your SEO strategies.
You can try Wope , our tool that helps you track SEO keyword analysis, website performance analysis and various indicators , and make your content marketing and SEO efforts more successful!
About Prompts
Prompts are inputs given by humans and used to guide AI. The development of prompts also affects the quality of the content that AI will produce. At this stage, we will test a few sample prompts in the Writesonic tool and examine the outputs.
When we asked for a prompt to explain the difference between digital marketing and performance marketing, we saw that the answer was very detailed and explanatory.
When the prompts are more detailed, the output obtained is of higher quality. For this reason, when we enter the more detailed prompt “Write a content idea for a blog post about artificial intelligence in marketing, using H2 and H3 appropriately, optimized for search engines”, you can see the results above. It is seen that the result given in accordance with our prompt is suitable for use in your blog post.
With prompts, you can create not only texts but also images. Let's examine a few examples together with the Freepik AI Image Generator tool:
Here we aim to see the change in results by trying two different prompts.
Prompt: an impressionist painting of a woman sitting at a table and drinking coffee, rich, bright, spirited
Prompt: an impressionist painting of a woman sitting at a table and drinking coffee, peaceful, calm
Changing the keywords from “bright, rich, vibrant” to “peaceful, calm” makes a huge difference. By adding more specific descriptors to your prompt, you can get even more diverse results.
So far, we have covered the basics of how artificial intelligence works. Now we will examine the limitations of artificial intelligence.
Limitations of Artificial Intelligence
Limited Understanding
Models trained on a large dataset can learn and predict patterns in human language based on this data. However, they lack the ability to understand nuances such as irony, metaphor, and sarcasm. In addition, it is difficult for AI to understand idioms and cultural codes. However, models trained or to be trained in this direction will eventually grasp that language.
Generative AI is a type of artificial intelligence that can produce various content such as text, video, audio, and visuals using human input. Generative AI, which uses language learning models, uses these models to learn various patterns and thoughts and to create something new from the commands given creatively, productively, and quickly.
In language learning models, the process works as follows: Models are given a text and they predict the next text/word sequence. Language models use most of the information on the internet to create a foundation in various languages and topics. Models that absorb a lot of content eventually learn how people speak, write or produce. They develop each piece of information with the given contexts and provide better outputs.
There are two main language models used in Generative AI, namely natural language processing (NLP) and artificial neural networks (ANN). While NLP uses specific rules to learn from existing text, the ANN model uses data to establish new relationships between existing elements.
You can access Generative AI from various tools or language models. Usually, tools use more than one artificial intelligence model to choose the right model for different conditions. In this way, they create something that meets the user's needs. It is estimated that many new models will emerge in the coming periods.
What is AI Marketing?
AI Marketing is when marketers use artificial intelligence to create better content to gain insight into their target audience and customers. Artificial intelligence marketing includes various marketing assets such as chatbots, advertising, and content production. In this way, you can optimize your marketing processes.
Thanks to artificial intelligence, your data collection process is faster, you learn the behavior of your customers and target audience, and you can easily create your marketing plan by analyzing this data.
With artificial intelligence being frequently mentioned in recent times, the rate of companies using artificial intelligence as a marketing tool is also increasing. Let's examine a few areas where artificial intelligence is used in marketing.
Where Do Marketers Use Artificial Intelligence?
Content Production
The number of tools that produce content from scratch is increasing. In addition, you can create your captions and titles for your social media posts using artificial intelligence, and you can produce the subject lines and content of your emails using artificial intelligence. However, content produced with AI must be checked because, although artificial intelligence produces good results in this regard, it cannot be said that the content created is ready to be published immediately. The biggest reason why artificial intelligence is used in marketing, especially for content production, is to create content faster and not waste time.
Let's take a look at the copy.ai tool , which allows you to produce content with artificial intelligence :
When you enter a prompt for the type of content you want, your content is generated within seconds:
You can examine the tool that you can use in many areas such as creating blog posts, headlines, social media text, and make your content creation process easier.
If you are curious about and want to examine various tools that you can use to create content with AI, you can take a look at this article . In addition, the number of tools used to detect whether a content is produced by AI or a human is also quite high. You can also explore the tools that will help you detect who created a content by reviewing our article on this subject.
Chatbot
Chatbots are tools that allow users to receive information and perform transactions via messaging. Chatbots, which have been used for years, are created using the natural language processing (NLP) model. Thanks to these bots, customers and users visiting the website can get answers to their questions. Chatbots can answer repeated questions and help solve users' problems.
Participants in a study conducted by Drift were asked what overseas chinese in uk data they would most like to use a chatbot for. Participants’ answers to this question were to solve a problem, get a detailed explanation, and be able to quickly reach a live customer representative.
Today, the areas where chatbots are frequently used are banking, e-commerce, healthcare and call centers.
If we take a look at Drift , the chatbot is trained to answer questions outside of a pre-programmed path. In this way, the user can get an answer to a question that has not been loaded into the system. You can try Drift's chatbot and improve your customer experience by developing your artificial intelligence model with GPT.
Email Marketing
Using AI in email marketing can help you enrich your email content and analyze your email list. Using AI in email marketing allows you to create useful campaigns with less time. The tools you can use in this regard allow you to create the content you want to write with the right tone with the help of AI.
Let's take a look at a few ways you can use AI in your email marketing strategy:
Determining topics with AI and increasing click-through rates
Creating personalized email texts
Predicting future conversions by performing historical analysis
New customer acquisition
A/B testing
All of these uses help with processes such as engagement, conversion, sales and revenue growth. You can review the SalesHandy tool to make your email marketing strategy AI-powered. SalesHandy is a tool designed for cold emailing. With the tool, you can create email campaigns, prepare emails for potential customers, create subject lines and test different email variations.
SEO
One of the biggest contributions of AI to SEO is optimizing content for search engines. AI algorithms can analyze a website, select keywords that can help improve rankings, and allow you to track your competitors’ activities.
By using AI-powered tools for effective keyword selection, you can see the strengths and weaknesses of your website, and make your keyword selection correctly with tools that measure the competition of the word. For original content production, you can create meta titles and descriptions, blog content and many other content with AI-powered content generation tools. However, instead of having AI create the entire text, examining the text and making edits to the text will give a better result.
By adapting your SEO strategy to artificial intelligence, you can optimize your workflows and get more successful results. By reviewing this article where we explain the use of artificial intelligence in SEO , you can learn how to use artificial intelligence in your SEO strategies.
You can try Wope , our tool that helps you track SEO keyword analysis, website performance analysis and various indicators , and make your content marketing and SEO efforts more successful!
About Prompts
Prompts are inputs given by humans and used to guide AI. The development of prompts also affects the quality of the content that AI will produce. At this stage, we will test a few sample prompts in the Writesonic tool and examine the outputs.
When we asked for a prompt to explain the difference between digital marketing and performance marketing, we saw that the answer was very detailed and explanatory.
When the prompts are more detailed, the output obtained is of higher quality. For this reason, when we enter the more detailed prompt “Write a content idea for a blog post about artificial intelligence in marketing, using H2 and H3 appropriately, optimized for search engines”, you can see the results above. It is seen that the result given in accordance with our prompt is suitable for use in your blog post.
With prompts, you can create not only texts but also images. Let's examine a few examples together with the Freepik AI Image Generator tool:
Here we aim to see the change in results by trying two different prompts.
Prompt: an impressionist painting of a woman sitting at a table and drinking coffee, rich, bright, spirited
Prompt: an impressionist painting of a woman sitting at a table and drinking coffee, peaceful, calm
Changing the keywords from “bright, rich, vibrant” to “peaceful, calm” makes a huge difference. By adding more specific descriptors to your prompt, you can get even more diverse results.
So far, we have covered the basics of how artificial intelligence works. Now we will examine the limitations of artificial intelligence.
Limitations of Artificial Intelligence
Limited Understanding
Models trained on a large dataset can learn and predict patterns in human language based on this data. However, they lack the ability to understand nuances such as irony, metaphor, and sarcasm. In addition, it is difficult for AI to understand idioms and cultural codes. However, models trained or to be trained in this direction will eventually grasp that language.