Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
ChatGPT can support diverse commercial tasks involving text, images or data. Though It is a powerful data processor, it typically requires human supervision due to its hallucinations.
Artificial Intelligence (AI) is the most transformative technologies according to CEOs like Sundar Pinchai.1
Generative AI models are facilitating numerous tasks, enabling efficiency and automation. ChatGPT is the prominent generative AI Large Language Model (LLM) and receives 1.7 billion visits/month.2
ChatGPT has various applications that are useful to people, companies, and industries. We explain the top 50 ChatGPT use cases. If you want to use your own company’s data for generative AI, you can look into training or fine-tuning LLMs.
ChatGPT can effectively assist in handling structured tasks that require consistent formatting, predefined outputs, or repetitive workflows. This capability is particularly beneficial when accuracy, clarity, and adherence to a set structure are critical.
ChatGPT, as a language model, can be used for a wide range of text-based use cases. Some of the most common use cases of ChatGPT include:
ChatGPT can be used to generate high-quality content for websites, blogs, or social media platforms in a few seconds. This includes creating content like:
It can also be used for creative writing applications, where it can help users generate unique ideas, brainstorm plots, and even write entire stories.
Figure 1. Example of a content creation using ChatGPT with the prompt “Once upon a time”
Koo, a social media platform, uses GPT models to assist users in generating high-quality content at scale. This includes creating blog posts, social media content, and more. By integrating ChatGPT, Koo aims to boost user engagement by enabling users to create content faster without sacrificing quality.
ChatGPT can be used for translation services, where it can automatically translate text from one language to another.
A great real-life example of ChatGPT being used in translation comes from Spotify and Duolingo. Both companies have integrated ChatGPT to enhance their multilingual customer support.
For example, Spotify uses ChatGPT to provide customer support in over 60 languages. ChatGPT translates and responds in the customer’s preferred language, whether a customer asks questions about playlists, features, or account issues, making the support experience seamless3 .
Similarly, Duolingo leverages ChatGPT to answer customer inquiries in over 30 languages, ensuring that users worldwide can communicate about their courses, app settings, and other concerns without language barriers.
ChatGPT can be used to create intelligent chatbots that can converse with users in natural language. These chatbots can be used for customer service, sales, or support to produce human-like responses, as well as for personal virtual assistants.
With retrieval-augmented generation, businesses can feed relevant information to ChatGPT from their databases. With this data, ChatGPT can inform employees using that company’s private data, helping them discover business information using natural language.
For further details, see our article: How to Use ChatGPT for Business
ChatGPT can write code for simple or repetitive tasks, such as file I/O operations, data manipulation, and database queries. However, it’s important to note that its ability to write code is limited, and the generated code may not always be accurate, optimized, or desired output.
Figure 2. ChatGPT writing code for a comment
ChatGPT’s bug-fixing abilities can also be a valuable tool for programmers. It can assist in debugging code by proposing possible causes of errors and presenting solutions to resolve them.
Figure 3. ChatGPT helps with debugging code
ChatGPT can aid in code completion by anticipating the following lines or segments of code based on the context and current code. This can be particularly advantageous for programmers who may not recall all of the syntax and functions of the programming language they are using, saving time and effort.
ChatGPT can recommend methods to enhance and refine the code structure, readability, and performance. Refactoring entails modifying existing code to improve its quality without altering its behavior. ChatGPT can offer suggestions for renaming variables, removing repetitive code, and other enhancements that can make the code more effective and accessible for other programmers to understand.
Figure 4. ChatGPT refactoring the code it provides as an example
When a programmer enters their code into ChatGPT, it can propose suitable documentation templates based on the programming language and the kind of code being documented. For instance, if the code is a function, ChatGPT can propose a function documentation template that includes parameters, return values, and a description of the function’s objective.
Figure 5. ChatGPT provides example code documentation for a Python function that sorts a list of numbers in ascending order
ChatGPT has the potential to produce code snippets in multiple programming languages based on user input and requirements. A code snippet is a brief piece of code that exemplifies a particular feature, function, or technique in a programming language. It can help illustrate how to execute a specific task or resolve a problem in code and serve as a foundation for more intricate programming projects.
Figure 6. ChatGPT provides an example code snippet
ChatGPT can provide explanations and examples of programming concepts, software products, syntax, and functions, which can help people learn and understand programming languages. This can be particularly useful for beginner programmers who may be unfamiliar with programming concepts or experienced programmers who are working with a new programming language.
Figure 7. ChatGPT explains the question, “What is object-oriented programming, and how does it work?”
In September 2023, OpenAI rolled out multi-modal capabilities to ChatGPT, including image processing.4
Runway, a creative AI platform, uses GPT models to assist content creators in generating video scripts. This application is particularly useful for social media marketers who need to produce engaging video content rapidly5 .
ChatGPT models can classify images into categories such as landscapes, animals, objects, etc. This is commonly used in medical imaging (e.g., classifying X-rays), e-commerce (e.g., classifying product images), and more.
ChatGPT can recognize specific objects in images, such as faces, cars, or everyday objects. This technology is widely used in security (e.g., facial recognition), autonomous vehicles (e.g., recognizing pedestrians), and retail (e.g., analyzing shelf inventory).
ChatGPT can convert spoken words into text, making it useful for applications like meeting transcriptions, podcast indexing, and legal documentation.
ChatGPT can convert text into natural-sounding speech, used in accessibility technologies, virtual assistants, and educational tools.
ChatGPT can translate spoken language into another spoken language in real time, facilitating communication across language barriers in customer service, international business, and travel.
For more real-life examples, see our article: ChatGPT for Customer Service: 7 Use Cases & Real Life Examples
The multilingual support provided by ChatGPT for customer service involves leveraging the large language model’s capabilities to offer assistance to customers who speak different languages. ChatGPT can be trained in a range of languages, and it has the potential to translate messages from one language to another, enabling effective communication between customers and businesses in different languages.
Figure 18. An exemplary multilingual customer response generated by ChatGPT
ChatGPT can be trained on customer data, such as:
to create a personalized profile for each customer. When a customer sends a message, ChatGPT can use this profile to provide relevant responses tailored to the customer’s specific needs and preferences.
Octopus Energy uses GPT-powered chatbots to handle 44% of customer inquiries. This automation has reduced the need for human intervention, effectively replacing the work of approximately 250 support staff. The system handles queries ranging from billing to account management6 .
ChatGPT can be trained to detect and reply to typical customer complaints, such as problems with product quality, shipping delays, or billing errors. When a customer submits a complaint, ChatGPT can evaluate the message and offer a response acknowledging the customer’s concerns and presenting possible solutions to the issue.
Salesforce integrates Einstein GPT, a tool that helps sales teams draft personalized emails and responses based on CRM data. This automation improves customer interactions and streamlines communication processes, allowing sales teams to focus more on high-value tasks7 .
ChatGPT can design custom email templates for specific customers using provided customer data. When a company needs to send an email to a customer, ChatGPT can utilize a template to create an email that is personalized to the customer’s specific interests and requirements.
Sentiment analysis is used to identify customers who are unhappy or dissatisfied with a product or service and to take steps to address their concerns before they escalate.
ChatGPT can be trained to recognize a wide range of emotions, including happiness, sadness, anger, and frustration. When a customer sends a message, ChatGPT can analyze the message to determine its sentiment and provide a response that is tailored to the customer’s emotional state.
For more information on sentiment analysis using ChatGPT, read Examples of ChatGPT Sentiment Analysis.
For more information on sentiment analysis comparison on AI-tools, read Sentiment Analysis Benchmark Testing: ChatGPT, Claude & DeepSeek.
When a customer leaves a review or comment on online review platforms or your website, ChatGPT can generate a response that addresses the customer’s concerns and offers potential solutions or assistance.
ChatGPT can be trained on a company’s FAQ page or knowledge base to identify and respond to frequent customer inquiries. When a customer submits a question, ChatGPT can examine the message and offer a response that addresses the customer’s inquiry or guide them to additional resources that may be useful.
To learn more about ChatGPT in customer service, check our article.
Web contains the largest dataset and ChatGPT facilitates web data collection. Use cases include:
AI tools like GPT-based models can generate Python code for scraping websites using libraries like BeautifulSoup, Scrapy, or Selenium. These models can automatically write code to extract specific data such as prices, product descriptions, or news articles, making it easier for non-developers to gather web-based information.
For more, check out ChatGPT use cases in web scraping.
For teachers:
ChatGPT can assist teachers in developing innovative ideas for lesson plans, activities, and projects that are in line with defined educational goals and curriculum guidelines. Teachers can employ ChatGPT to produce and organize instructional content, including but not limited to:
Figure 20. ChatGPT creates a quiz for a class
Another application of ChatGPT for educators involves utilizing its natural language understanding capabilities to aid in assessing and enhancing written work. This can be implemented in various ways:
ChatGPT can help teachers grade student essays by evaluating their content, structure, and coherence. AI can offer feedback on grammar, spelling, punctuation, and syntax while also assessing the quality of the argument or analysis presented. Nonetheless, it is vital to avoid solely relying on ChatGPT for grading purposes. Instead, teachers should have a critical process and employ ChatGPT to create the rubric used for grading.
Incorporating ChatGPT in their teaching approach, educators can harness the AI’s potential to aid in the creation, organization, and structuring of course content coherently and efficiently (Figure 21). Some ways in which ChatGPT can help include:
For students:
ChatGPT can be useful for students in many aspects of their homework, such as:
Figure 21. ChatGPT explains some key concepts for a high school student
ChatGPT can be an asset in supporting and streamlining the research process for academic projects, assignments, or personal interests. It can assist in many steps involved in the research process, such as:
ChatGPT can be a valuable tool for language learning. It offers translations, grammar explanations, vocabulary practice, and conversation simulations to help students practice and improve their language skills. It can also help students schedule a program for improving their language skills (Figure 24).
Figure 24. ChatGPT creates a weekly schedule for language learning practices
AI-generated texts have numerous applications in marketing beyond the generation of business ideas, including:
By leveraging its natural language processing (NLP) capabilities, ChatGPT can generate personalized content for customers that takes into account their preferences, past behavior, and demographics. This enables businesses to create targeted content that connects with their audience on a more personalized level, resulting in higher levels of engagement and conversion rates.
Audience research involves collecting information and insights about the target audience to gain a better understanding of their interests, preferences, behaviors, and requirements. This helps companies with more effective marketing.
ChatGPT can be used to analyze customer data such as:
Product descriptions are a fundamental aspect of marketing that furnish potential customers with information about a product’s features, benefits, and value. ChatGPT can assist in crafting engaging and informative product descriptions that align with the interests and preferences of the target audience.
Indeed, ChatGPT can be incorporated into a chatbot to deliver prompt and personalized customer support. Chatbots in marketing can address customer inquiries, offer technical support, and troubleshoot issues, among other things for marketing purposes.
ChatGPT can help with creating customer surveys:
To learn more about ChatGPT in marketing, check our article.
SEO
ChatGPT can be used for generating topic ideas for SEO content writing by utilizing its language processing capabilities to:
Integrating relevant keywords into content is a vital component of a successful SEO strategy, as it helps identify the words and phrases that potential customers use when searching for products or services associated with the website’s offerings.
ChatGPT can perform functions in keyword search optimization, such as:
ChatGPT can aid in crafting captivating and SEO-friendly titles by blending its language generation abilities with its knowledge of SEO best practices. It can produce SEO-friendly titles by guaranteeing that the titles are:
Figure 27. ChatGPT SEO-friendly title suggestions for content in B2B marketing
ChatGPT can assist in search intent grouping by analyzing search queries and categorizing them based on the user’s intended goal or purpose, thanks to Natural Language Processing (NLP) methods. This can help businesses and marketers understand the intent behind specific search terms and optimize their content and strategies to better meet the needs and expectations of their target audience.
For more on how to use search function of ChatGPT effectively, check our article.
ChatGPT can aid in designing content structure by producing outlines and suggesting organization methods for a given topic. This can be advantageous for SEO optimization since well-structured and organized content not only offers a superior user experience but also enables search engines to comprehend the context and significance of the content.
Meta descriptions function as a form of advertisement for a page, enticing users to click on the link and visit the page. Hence, meta descriptions are a significant factor in SEO. ChatGPT can assist in creating effective meta descriptions by generating content summaries that precisely and concisely depict the primary topic of a page.
After you’ve written your blog post, you can ask ChatGPT to write the meta description:
Prompt: "Write a unique meta description for a real estate marketing blog about "'The Role of SMS Marketing in Real Estate Branding'" pic.twitter.com/WqM9NcqK2w
ChatGPT can be used to generate sitemap codes, which produce an XML file that lists all the pages and content on a website.
Figure 28. Example of a simple sitemap code
HR departments frequently require a series of questions to ask job candidates during the interview process, which can be a time-consuming task. AI can be utilized to produce interview questions that pertain to the job position and evaluate the candidate’s qualifications, abilities, and experience.
ChatGPT can be used to generate onboarding materials for new employees, such as training videos, handbooks, and other documentation.
ChatGPT can be used for creating job descriptions that accurately reflect the required skills and qualifications for a particular position.
By fine-tuning ChatGPT with your company’s policies, you can have it answer employees’ questions about HR policies.
In mid-2025, OpenAI introduced Projects record mode, a feature that allows ChatGPT to capture, organize, and recallmulti-step workflows across extended conversations. Users can now:
At the same time, improved memory capabilities have made ChatGPT much better at retaining user preferences, project-specific jargon, and contextual context across sessions (beyond a single chat). This means:
ChatGPT offers businesses a versatile tool for enhancing operations in customer service, content creation, internal communication, and more. However, when adopting AI tools like ChatGPT, organizations must consider potential challenges, such as data privacy, accuracy, and integration requirements.
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Cem Thank you for the ideas. I retired from software QA and now mentor young people in software and IT. I am new to ChatGPT and was casting about for ways to integrate it into my work. Somehow I never thought of using ChatGPT to suggest debugging. I am teaching a jr. high student Python and will work it into our sessions. Another person was laid off from a management position in manufacturing and is looking at career changes. I have been funneling ideas and information to him, encouraging him to get on board with ChatGPT. Best wishes. Joel
Sounds great Joel!