Trending November 2023 # Top 8 Ai Virtual Companions 2023 # Suggested December 2023 # Top 20 Popular

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Karolina Gaszcz

Private, personalized conversations with CarynAI in occur in real-time through secure messaging.

Chats remain confidential.


Users would have to join the waitlist on Telegram to access CarynAI.

The chatbot is currently in beta.


via Repika

With more than 10 million users, Replika is one of the most well-known AI companion apps. It utilizes natural language processing and machine learning algorithms to engage in meaningful and empathetic interactions with users, provide emotional support and personalized conversations.

The AI companion encourages users to share their thoughts, feelings, and experiences in a safe and non-judgmental environment. It offers a wide range of conversation topics, from casual chit-chat to deeper discussions about personal growth and well-being as users interact with Replika, the AI companion learns their preferences, interests, and conversational patterns so that Replica can provide increasingly tailored responses and support over time.


Can be customized to be your friend, therapist, or romantic partner.

Provides emotional support and personalized conversations 24/7.

Offers a safe space for users to express their thoughts and emotions


Trains users in personal communication skills.

Customizable avatars with realistic images.

Ability to chat, flirt, and go on dates with a virtual girlfriend.


Chai is a platform for AI friendship built using a proprietary dataset of over 4 billion user-bot messages. The developers, Chai Research, spent $1 million on computing to train language models optimized for entertainment and natural language.

The platform allows people to build and deploy their own AI companions, but users can also start talking to five pre-made chatbots in different categories like friendly, horror, romantic, well-being, and roleplay. There is also a leaderboard ranking the most popular chatbots. However, they are often NSFW.


Users can create and deploy their own AI virtual companions.

Users can create different stories with chatbots in each category.


High pricing for premium service at $30 per month.

Can’t edit or delete individual messages.

AI is glitchy and sends half-finished messages or responds with ellipses.


Formerly known as Mitsuku, Kuki is a chatbot developed by Steve Worswick using Pandorabots AIML technology. During its former incarnation as Mitsuku, the chatbot has achieved remarkable success, securing the prestigious Loebner Prize in five separate years (2013, 2023, 2023, 2023, and 2023) and holding a world record in the competition. 

Kuki can reason with specific objects, play games, and do magic tricks at the user’s request.  Interacting with Kuki is made convenient as it can be accessed through various platforms, including an online portal, Facebook Messenger, Twitch group chat, Telegram, Kik Messenger, and Discord.


Advanced conversational capabilities and ability to engage users in intelligent and interactive discussions.

Available on multiple platforms.

Offers a broad range of discussion topics.


Its responses are based on pre-programmed algorithms and lack genuine emotional understanding.

Responses are primarily based on the input provided, without comprehensive context understanding.


Anima is a virtual AI friend that is designed to be a companion and confidante. Powered by artificial intelligence, Anima can be used to chat, roleplay, and grow your communication skills. It can also be used to provide emotional support and companionship.

The app provides a wide range of avatars that users can choose for their AI friend. Users have praised the app for not censoring its AI, but many have reported that the AI has no memory of past conversations, which makes it difficult for them to take the conversations to the next level.


Can be used for different purposes.

Wide range of avatars to choose from.

No hard limit on discussion time.


Serves as a caring friend that listens and provides non-judgmental responses.

Helps users feel good about themselves with engaging conversations.

Free to use


Rich database of learned responses.

Visually engaging and dynamic avatar.


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Top 8 Sentiment Analysis Datasets In 2023

Sentiment analysis is a great way to understand the customers’ feelings toward a company and to see if they are associated with sales, investments, or agreements. Ensuring a reliable sentiment analysis depends on many factors, and one of its building blocks is the dataset used to train the models. However, finding the right dataset is easier said than done.

This article highlights the top sentiment analysis datasets to train your algorithms for more efficient and accurate sentiment analysis.

Although the quantity of the data is crucial, the quality or relevancy is also essential to have reliable results. For instance, if a retail company uses a dataset with financial jargon to train a customer sentiment analysis model, the algorithm may not provide reliable results as the words which the algorithm evaluates will be from a financial context.

So, having the right training dataset is crucial in evaluating the reviews, as you can develop new strategies with the insights you gather. Here we list the top eight sentiment analysis datasets to help you train your algorithm to obtain better results. 

1. Amazon Review Data

This dataset contains information regarding product information (e.g., color, category, size, and images) and more than 230 million customer reviews from 1996 to 2023. The reviews are labeled based on their positive, negative, and neutral emotional tone.

2. Stanford Sentiment Treebank

Most sentiment analysis tools categorize the sentences by giving sentiment scores to each word without considering the sentence as a whole. Here, you can find almost 10,000 reviews on movies with sentiment scores ranging from 1 to 25. While 1 represents the most negative reviews and 25 corresponds to the most positive ones. 

Figure 1. An example of a movie review and the sentiment score of each aggregate 3. Financial Phrasebank

The financial phrase bank dataset contains almost 5000 English sentences from financial news, and all sentences are classified based on their emotional tones as either positive, negative, or neutral. All the data is annotated by researchers knowledgeable in the finance domain. 

Figure 2. Examples of the sentences from financial news and the corresponding sentiment label class


They can help your company with sentiment analysis services using a pre-determined training dataset to understand your customers better.

4. Webis-CLS-10 Dataset

Webis cross-lingual sentiment dataset includes 800.000 Amazon product reviews in English, German, French, and Japanese. Its multilingual nature allows for reaching more audiences and conducting comprehensive analyses. 

5. CMU Multimodal Opinion Sentiment and Emotion Intensity 

Not only do texts contain customers’ sentiments regarding services or products, but they can also be detected from videos or audio. CMU dataset includes multimodal data extracted from Youtube videos, such as the sentences and the voice tone used. 

Figure 3. The word cloud of the topics mentioned in the videos 6. Yelp Polarity Reviews

This open-source dataset includes more than 500,000 training samples consisting of consumer reviews, ratings, and recommendations. The polarity score of each sentence is determined, and the keywords requested can be extracted. 

7. WordStat Sentiment Dictionary

Wordstat Sentiment Dictionary classifies sentiments as negative or positive and combines three dictionaries: Harvard IV Dictionary, Regressive Imagery Dictionary, and Linguistic and Word Count Dictionary. The combination of different dictionaries allows for identifying synonyms and word patterns automatically.

8. Sentiment Lexicons For 81 Languages

Although English is the most spoken language globally, it is also crucial to analyze the sentiment of other language speakers. This dataset includes 81 languages such as Chinese, Spanish, and German, so it offers a variety of data from different languages and represents the worldwide sentiment better.

Using a trained dataset to run your algorithm is essential in sentiment analysis. So, working with reliable sources matters. 

For more in-depth knowledge on sentiment analysis, download our comprehensive whitepaper:

You can also check our data-driven list of sentiment analysis services. 

Further Reading

If you have further questions about sentiment analysis, do not hesitate to reach us:

Begüm Yılmaz

Begüm is an Industry Analyst at AIMultiple. She holds a bachelor’s degree from Bogazici University and specializes in sentiment analysis, survey research, and content writing services.





Top Virtual Data Room Providers

A Virtual Data Room is a cloud service that enables users to share and collaborate on documents in a secure manner.

Virtual Data Rooms have different use cases, but are commonly associated with due diligence activities related to financial transactions, such as Initial Public Offerings (IPO) and mergers and acquisitions. Ahead of a major transaction, content and contracts related to a financial transaction are assembled in a single secure room. This is the so-called data room, where participants can safely view the materials. The Virtual Data Room is the modern evolution of that concept.

Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.


The market for Virtual Data Room services is wide and varied. It includes enterprise file sharing and synchronization technologies as well as purpose-built services that focus on enabling financial transaction activities.

There are a number of key features that are part of many virtual data room services.

Document upload and storage. Virtual Data Rooms provide or link to storage capacity for data and documents.

Access and Authentication control. Since the content can be sensitive in nature, virtual data room services all provide some form of user access control.

Collaboration. The ability to share documents with different groups is a key capability.

Audit logs. The ability to see how data was access and by whom is important for both security and compliance.

When looking to choose a Virtual Data Room providers, there are a number of things that should be considered.

Use-case. Some Virtual Data Rooms are general purpose while others provide specific capabilities that can help with different types of activities.

Security controls. Simple access control might be enough for some use-cases, but not all. Some services offer more controls than others, with things such as document watermarks and time based access control.

Workflow. Looking beyond just the ability to share files securely, consider services that provide workflow capabilities that can help guide a process for document collaboration or a financial transaction.

In this top companies list, we spotlight the vendors that offer the top virtual data room services.

Value proposition for potential buyers. Ansarda is a purpose-built service for enabling virtual data rooms that is well suited for organizations of any size that require a service for sharing and collaborating on documents as part of a potential financial transaction.

A key differentiator for Ansarda is the platform’s artificial intelligence (AI) capabilities that enable a number of unique capabilities in the platform.

AI is used to help automatically organize files that users upload to the system, determining file type and correctly putting data in the correct order.

The AiQ bidder engagement score is another AI-powered differentiator for Ansarda, providing a bidder behavior predictor that can help users to understand the likelihood of a bidder completing due diligence as part of a the process required to complete a financial transaction.

Collaboration is enable with a sophisticated Q&A system that enables bidders to ask questions to execute due diligence operations, with full tracking of all content.

Value proposition for potential buyers. Workspaces is a good option for organizations looking for a secure enterprise file share and synchronization capability.

Blackberry acquired Watchdox for $100 million in 2023 and has been expanding the technology in the years since, rebranding and integrating capabilities into Workspaces Content Collaboration.

Workspaces provides a very granular level of of security control with Digital Rights Management (DRM) at the file level, with full visibility into all activity with a given file including edits, viewing and printing

Integration with Microsoft is a key value, with connectors for Windows Files share, SharePoint and OneDrive.

Digital Board Room capability, enables administrators to securely provide access to executive briefing materials.

Value proposition for potential buyers. Box is a well known option for organizations of any size to secure share and collaborate on data.

Box is a solid general purpose option for file sharing and collaboration and it can be configured to be used as a virtual data room.

The Box Shield set of capabilities enables organizations to identify and organize confidential information, providing compliance and data loss protection.

Governance capabilities within Box can provide compliance with different regulation, as well as providing retention policies for how long a given piece of data should be available.

From a workflow perspective, the Box Relay capabilities provide automated workflow option which can be useful to enable virtual data rooms.

Value proposition for potential buyers. Sharefile is a good choice for organizations of any size looking to extend a general purpose enterprise sharing capability for virtual data room use-cases.

The dynamic virtual watermark feature is a valuable capable that lets organizations put their own mark on documents.

A key differentiator is the full-text search, that goes beyond just making data available to users, to enabling different authorized individuals to search across data.

Also of note is the fact that while having all the data online is why people choose to use a virtual data room, Citrix also provides a DVD backup that can mail organizations an archive of a virtual data room’s contents.

Value proposition for potential buyers. Dealroom is positioned as being for merger and acquisition activity, helping to enable participants to execute due diligence with a virtual data room.

Assignment tracking within Dealroom, lets executives task users with completing different activities related to help move a deal forward.

Another unique feature is the platform’s integrated merger and acquisition checklists and templates which set up the flow for how a deal and its documents can be structured in the virtual data room.

Analytics for task tracking and how documents are being accessed is also a key feature, providing management with a view into what’s going on.

Value proposition for potential buyers. Huddle works for organizations looking for a solid enterprise-grade file sharing services that can be used for virtual data room applications.

Huddle can integrate with Microsoft Office and Google apps, to make it easier to share and collaborate on documents in a secured approach.

Version control features for document synchronization is a key capability for Huddle. Documents can be synchronized, with users getting the ability to see version history and compare versions.

Granular access control for shared and viewed documents, provides visibility into how data is being access and used.

Huddle has a file request feature that lets users request files and then track the progress of the data requests.

Value proposition for potential buyers. For those looking for a focused virtual data room service, iDeals is a great option, providing all the key features organizations of any size might need.

Among the key differentiators for iDeals is the Secure Fence View capability that can allow access only to a very specific section of a document, barring visibility to sections that the the user is not authorized to see.

The search capability in iDeals is bolstered with an Optical Character Recognition (OCR) system that can enable searches across scanned data.

The granular security controls can be so specific, that an administrator can restrict access to only certain periods of times for a given IP address.

Value proposition for potential buyers. Onehub is a purpose built virtual data room provider that works well for mid-sized to large organizations looking to have branded portals for securely sharing data.

The big key differentiator for Onehub is how it can enable an organization to create a portal for sharing data, that is easily managed and branded for customized look and feel.

Full audit trails for accessed content provides administrators with visibility into access.

Onehub is integrated with Google Drive, as an option for storage as well as sharing data.

Stealth mode is another key feature of Onehub which lets administrator setup binders of content that participants in a bidding process can see, without letting the different bidders see each other.

Value proposition for potential buyers .HighTail is well suited for larger organizations looking for an enterprise data file sharing and collaboration service, that can be configured for virtual data room use.

OpenText acquired Hightail in 2023, the company had been known from 2004 until 2013 as YouSendIt.

HighTail integrates collaboration capabilities that can be used for virtual data room as well as basic workflow with partners.

The system enables administrators to assign tasks such that followup and due dates are part of the collaboration process.

The integrated approval system is a key value of the platform, enabling a workflow with authorization for content items.

Value proposition for potential buyers. SecureDocs is a purpose built service for virtual data room capabilities that is well suited to financial services and legal professionals involved in financial transactions.

A key differentiator is the platform’s built-in electronic signature capability which is very useful for completing contracts.

The SecureDocs service provides full audit trail reporting which can provide alerts on when and where data is being accessed from.

Also of note is the NDA (Non-Disclosure Agreement) feature that can be setup to require users to agree to the terms of an NDA before getting access to content.

The included data room archiver is another key feature, letting an administrator download all the data from a data room at the completion of a transaction.


Key Differentiator


AI powered data organization.

Integrated collaboration system.

AiQ artificial intelligence for bidder engagement.

BlackBerry Workspaces

Granular access control.

File access audit and visibility.

Microsoft suite integration.


General purpose file share that can be customized for virtual data room.

Full governance capabilities.

Box Shield capabilities for data compliance.

Citrix ShareFile

General purpose file share that can be customized for virtual data room.

Full text search

DVD backup for virtual data room materials.


Commenting capabilities for documents.

Analytics for task tracking.

Integrated templates for different virtual deal room use-cases.


Integration with Microsoft Office and Google Apps.

Version control for document synchronization.

File request feature that can track progress of data.


Granular access control for time and IP address.

Secure Fence View can redact information and only allows access to specific sections.


Audit trails for data access.

Integration with Google Drive.

Portal creation for customized data rooms.

OpenText HighTail

Data and document collaboration features.

General purpose enterprise share and synchronization capabilities.

Integrated approval system for document workflow.


Data archiving features.

Advanced data access policies.

Built-in electronic signature capability.

Top 10 Key Ai And Data Analytics Trends For 2023

Transacting has changed dramatically due to the global pandemic. E-commerce, cloud computing and enhanced cybersecurity measures are all part of the global trend assessment for data analysis.

Businesses have always had to consider how to manage risk and keep costs low. Any company that wants to be competitive must have access to machine learning technology that can effectively analyze data.

Why trends are important for model creators?

The industry’s top data analysis trends for 2023 should give our creators an idea of where it is headed.

Creators can make their work more valuable by staying on top of data science trends and adapting their models to current standards. These data analysis trends can inspire you to create new models or update existing ones.

AI is the creator economy: Think Airbnb for AI artifacts

Similar to the trend in computer gaming where user-generated content (UGC), was monetized as a part of gaming platforms, so we expect similar monetization in data science. These models include simple ones like classification, regression, and clustering.

They are then repurposed and uploaded onto dedicated platforms. These models are then available to business users worldwide who wish to automate their everyday business processes and data.

These will quickly be followed by deep-model artifacts such as convents and GAN’s and autoencoders which are tuned to solve business problems. These models are intended to be used by commercial analysts and not teams of data scientists.

It is not unusual for data scientists to sell their expertise and experience through consulting gigs or by uploading models into code repositories.

These skills will be monetized through two-sided marketplaces in 2023, which allow a single model to access a global marketplace.

For AI, think Airbnb.

The future of environmental AI is now in your mind

While most research is focused on pushing the limits of complexity, it is clear that complex models and training can have a significant impact on the environment.

Data centers are predicted to account for 15% of global CO2 emissions in 2040. A 2023 paper entitled “Energy considerations For Deep Learning” found that the training of a natural language translator model produced CO2 levels equal to four-family cars. It is clear that the more training you receive, the more CO2 you release.

Organizations are looking for ways to reduce their carbon footprint, as they have a better understanding of the environmental impact.

While AI can be used to improve the efficiency of data centers, it is expected that there will be more interest in simple models for specific problems.

In reality, why would we need a 10-layer convolutional neural net when a simple Bayesian model can perform equally well and requires significantly less data, training, or compute power?

As environmental AI creators strive to build simple, cost-effective models that are usable and efficient, “Model Efficiency” will be a common term.

Hyper-parameterized models become the superyachts of big tech

The number of parameters in the largest models has increased from 94M parameters in 2023 to an astonishing 1.6 Trillion in 2023 in just three years. This is because Google, Facebook, and Microsoft push the limits of complexity.

These trillions of parameters can be language-based today, which allows data scientists to create models that understand language in detail.

This allows models to write articles, reports, and translations at a human level. They are able to write code, create recipes, and understand irony and sarcasm in context.

Vision models that are capable of recognizing images with minimal data will be able to deliver similar human-level performance in 2023 and beyond. You can show a toddler chocolate bar once and they will recognize it every time they see it.

These models are being used by creators to address specific needs. Dungeon. AI is a games developer who has created a series of fantasy games that are based on the 1970’s Dungeons and Dragons craze.

These realistic worlds were created using the GPT-3 175 billion parameter model. As models are used to understand legal text, write copy campaigns or categorize images and video into certain groups, we expect to see more of these activities from creators.

Top 10 Key AI and Data Analytics Trends 1. A digitally enhanced workforce of co-workers

Businesses around the globe are increasingly adopting cognitive technologies and machine-learning models. The days of ineffective admin and assigning tedious tasks to employees are rapidly disappearing.

Businesses are now opting to use an augmented workforce model, which sees humans and robotics working together. This technological breakthrough makes it easier for work to be scaled and prioritized, allowing humans to concentrate on the customer first.

While creating an augmented workforce is definitely something creators should keep track of, it is difficult to deploy the right AI and deal with the teething issues that come along with automation.

Moreover, workers are reluctant to join the automation bandwagon when they see statistics that predict that robots will replace one-third of all jobs by 2025.

While these concerns may be valid to a certain extent, there is a well-founded belief machine learning and automation will only improve the lives of employees by allowing them to take crucial decisions faster and more confidently.

An augmented workforce, despite its potential downsides, allows individuals to spend more time on customer care and quality assurance while simultaneously solving complex business issues as they arise.

Also read: The Five Best Free Cattle Record Keeping Apps & Software For Farmers/Ranchers/Cattle Owners

2. Increased Cybersecurity

Since most businesses were forced to invest in increased online presence due to the pandemics, cybersecurity is one of the top data analysis trends going into 2023.

One cyber-attack can cause a company to go out of business. But how can companies avoid being entangled in a costly and time-consuming process that could lead to a complete failure? This burning question can be answered by excellent modeling and a dedication to understanding risk.

AI’s ability analyzes data quickly and accurately makes it possible to increase risk modeling and threat perception.

Machine learning models are able to process data quickly and provide insights that help keep threats under control. IBM’s analysis of AI in cybersecurity shows that this technology can gather insights about everything, from malicious files to unfavorable addresses.

This allows businesses to respond to security threats up to 60 percent faster. Businesses should not overlook investing in cybersecurity modeling, as the average cost savings from containing a breach amounts to $1.12 million.

Also read: 10 Best Chrome Extensions For 2023

3. Low-code and no-code AI

Because there are so few data scientists on the global scene, it is important that non-experts can create useful applications using predefined components. This makes low-code or no-code AI one the most democratic trends in the industry.

This approach to AI is essentially very simple and requires no programming. It allows anyone to “tailor applications according to their needs using simple building blocks.”

Recent trends show that the job market for data scientists and engineers is extremely favorable.

LinkedIn’s new job report claims that around 150,000,000 global tech jobs will be created within the next five years. This is not news, considering that AI is a key factor in businesses’ ability to stay relevant.

The current environment is not able to meet the demand for AI-related services. Furthermore, more than 60% of AI’s best talent is being nabbed in the finance and technology sectors. This leaves few opportunities for employees to be available in other industries.

Also read: 10 Best Android Development Tools that Every Developer should know

4. The Rise of the Cloud

Cloud computing has been a key trend in data analysis since the pandemic. Businesses around the globe have quickly adopted the cloud to share and manage digital services, as they now have more data than ever before.

Machine learning platforms increase data bandwidth requirements, but the rise in the cloud makes it possible for companies to do work faster and with greater visibility.

Also read: No Plan? Sitting Ideal…No Problem! 50+ Cool Websites To Visit

5. Small Data and Scalable AI

The ability to build scalable AI from large datasets has never been more crucial as the world becomes more connected.

While big data is essential for building effective AI models, small data can add value to customer analysis. While big data is still valuable, it’s nearly impossible to identify meaningful trends in large datasets.

Small data, as you might guess from its name contains a limited number of data types. They contain enough information to measure patterns, but not too much to overwhelm companies.

Marketers can use small data to gain insights from specific cases and then translate these findings into higher sales by personalization.

6. Improved Data Provenance

Boris Glavic defines data provenance as “information about data’s origin and creation process.”  Data provenance is one trend in data science that helps to keep data reliable.

Poor data management and forecasting errors can have a devastating impact on businesses. However, improvements in machine learning models have made this a less common problem.

Also read: Best Online Courses to get highest paid in 2023

7. Migration to Python and Tools

Python, a high-level programming language with a simple syntax and language, is revolutionizing the tech industry by providing a more user-friendly way to code.

While R will not disappear from data science any time soon, Python can be used by global businesses because it places a high value on logical code and understandability. Python, unlike R, is primarily used for statistical computing.

However, it can be easily deployed for machine learning because it analyzes and collects data at a deeper level than R.

The use of Python in scalable production environments can give data analysts an edge in the industry. This trend in data science should not be overlooked by budding creators.

8. Deep Learning and Automation

Deep learning is closely related to machine learning, but its algorithms are inspired from the neural pathways of the human brain. This technology is beneficial for businesses as it allows them to make accurate predictions and create useful models that are easy to understand.

Deep learning may not be appropriate for all industries, but the neural networks in this subfield allow for automation and high levels of analysis without any human intervention.

Also read: Top 10 Business Intelligence Tools of 2023

9. Real-time data

Real-time data is also one of the most important data analysis trends. It eliminates the cost associated with traditional, on-premises reporting.

10. Moving beyond DataOps to XOps

Manual processing is no longer an option with so many data at our disposal in modern times.

DataOps can be efficient in gathering and assessing data. However, XOps will become a major trend in data analytics for next year. Gartner supports this assertion by stating that XOps is an efficient way to combine different data processes to create a cutting-edge approach in data science.

DataOps may be a term you are familiar with, but if this is a new term to you, we will explain it.

Salt Project’s data management experts say that XOps is a “catch all, umbrella term” to describe the generalized operations and responsibilities of all IT disciplines.

This encompasses DataOps and MLOps as well as ModelOps and AIOps. It provides a multi-pronged approach to boost efficiency and automation and reduce development cycles in many industries.

Also read: How to Start An E-commerce Business From Scratch in 2023

What are the key trends in data analysis for the future?

Data science trends for 2023 look amazing and show that businesses are more valuable than ever with accurate and easily digestible data.

Data analysis trends will not be static, however, because the volume of data available to businesses keeps growing, so data analysis trends will never stop evolving. It is therefore difficult to find effective data processing methods that work across all industries.

8 Best Ai Copywriting Tools (Beyond Chatgpt)

Ready or not, they’re here. AI copywriting tools can be your new best friend — if you know how to use them.

It seems like AI copywriting tools are everywhere, from content generators to ecommerce chatbots. With good reason: AI can save you a ton of time and money. Two things we all love, right?

But like most tools, AI copywriters are only as powerful as the person using them. Besides knowing how to use it, you need to know when to use AI copywriting and when it’s best to use your team’s real human brains.

Try these 8 AI copywriting tools to save time and supercharge your marketing efforts (without making you redundant).

Craft perfect posts in seconds

OwlyWriter AI instantly generates captions and content ideas for every social media network. It’s seriously easy.

Start free 30-day trial

What is AI copywriting?

AI copywriting is the process of using natural language processing software combined with machine learning capabilities to generate content for blog posts, social media, emails, scripts, and much more. Content written by AI copywriters is meant to sound like a human wrote it, but making it takes only a fraction of the time.

Who can benefit from AI copywriting?

That’s like asking, “Who can benefit from saving time and money?”

But first, let’s address the elephant in the room: AI isn’t stealing our jobs. I’ve seen tons of chatter from other writers worried ChatGPT and other natural language model copywriters will render us all obsolete.

Kaleigh Moore sums up the truth well:

Another day, another post from a scared freelance writer who’s worried AI/ChatGPT will eat their lunch.

— Kaleigh Moore (@kaleighf) March 9, 2023

Creating and using tools is how humankind evolved, from prehistoric stone knives to the horse and buggy and now, microchips and computer software.

You are a human. AI is a tool. Use it and evolve.

But… how? We’re all learning as we go, but here are a few examples of how AI can help you work smarter, not harder.

Marketers and social media managers

AI copywriters can’t create your marketing strategy from scratch, but they can:

Suggest KPIs to track, hashtag ideas, and more.

List social media goals for your next campaign.

Generate summaries and excerpts for web content, internal strategy documents, and more.

Brainstorm social media post ideas.

Conduct user research and surveys via chatbots.

Letting an AI chatbot take over audience research could save you 20 hours per week — based on the average marketer spending 48% of their time collecting and analyzing market research data.

Source: Marketing Trends

We already know that to be true, with our very own AI chatbot Heyday automating up to 90% of support tasks while costing our clients 25% less, and — most importantly — keeping a near 100% customer satisfaction rate.

Intrigued? Learn all the benefits of using AI chatbots for business.


Let AI serve as your assistant so you can focus on why people pay you instead of a robot: Your unique voice and writing style.

Use AI to:

Generate ideas and inspiration, ad copy variations for A/B testing, SEO keywords, or even a basic outline.

Get something on the page to beat writer’s block.

Brainstorm title or heading options.

Translate content into multiple languages.

Business owners

You already wear many hats, so let AI take some of the pressure off.

AI copywriters can save business owners time by:

Drafting web and social media content so you only have to tweak it instead of writing from scratch.

Drafting email replies.

Summarizing meetings and sending the notes out to your team.


Whether you’re a mall anchor or starting a new ecommerce side hustle, AI copywriting can dramatically boost your productivity by:

Taking care of customer service and sales via chatbot.

Drafting product listings, ad copy, emails, and more.

Best practices for AI copywriting Fact check everything

A recent study used ChatGPT to write abstracts for scientific papers and found that expert reviewers — actual scientists who review research for a living — could only identify 68% of the fake ChatGPT-generated abstracts.

If you’re using these tools, the onus is on you to ensure the accuracy of your content.

While your marketing copy isn’t as crucial to human survival as the validity of scientific discoveries, it’s still important to have a proper fact checking process. AI copywriting tools can save you a lot of time, but letting false information slip by could do irreparable damage to your reputation and credibility.

Be aware of AI’s limitations

The term “artificial intelligence” can be misleading. AI tools don’t actually think to generate new ideas about the world, as we humans can. They can only synthesize information they’re given, or have previously received, to solve the question (or “prompt”) they’re currently tasked with.

In short, an AI is only as “intelligent” as the algorithm it’s based on.

For example, a study measuring the accuracy of an app designed to identify cancerous skin lesions found that the AI could not reliably tell the difference between actual lesions and common flaws in digital photos, such as overexposure.

AI copy tools can save you tons of time in idea generation or getting a rough draft started, but they can’t “see the forest for the trees,” as the old saying goes. AI can absolutely help you, but leave the big picture thinking to humans.

Edit AI copy

AI-generated content is far from a finished product, even if it looks like one.

For example, I asked ChatGPT to write a paragraph about my favorite dog breed. It gave me this:

Source: ChatGPT

Sounds fine, right? But I ran the paragraph through a free online plagiarism checker:

Source: Grammarly

Yikes. Using that content as-is could jeopardize your reputation and cause significant legal issues for your business. Plus, let’s face it, it’s lazy.

Using AI copywriting tools to inspire and inform your work? Smart.

Using AI copywriters to do your work for you and pass it off as 100% original? Not cool.

What’s the solution? Even ten minutes of editing can eliminate any plagiarism or brand voice concerns:

Doberman Pinschers, named after founder Karl Dobermann, are intelligent, loyal, courageous, and as any Dobie owner will tell you, highly affectionate. They have a black or brown coat with rust markings and a sleek, muscular body. They’re classified as a medium-to-large dog, yet mysteriously expand at night to cover an entire king-size bed. Their natural protective instincts often lead to careers as police and military dogs, but they also thrive as family pets as long as their needs for lots of exercise and daily belly rubs are met.

Much better (besides my grammar):

Source: Grammarly

Do the creative work yourself

Use AI copywriters for inspiration, but don’t rely on them to fill up your content calendar.

For example, I asked chúng tôi to give me some blog topic ideas:


I wouldn’t want to use any of those generic titles as-is, but this list is great to spur some topic ideas, like number 4 about trends. Though I’d rename it to, oh I don’t know, “The 11 Most Important Social Media Trends for 2023.”

Relying on AI copywriters to do too much of the thinking isn’t as efficient as it seems at first. Soon enough your audience will think your content suddenly sounds like every other company in your space, or isn’t quite what they’re looking for anymore. The world’s most powerful AI still can’t replace the relationship-building power of your (comparatively) puny human brain.

Though not the first AI copywriting tool ever made, ChatGPT is one of the most recognizable after it sent the internet into a tizzy after its viral launch in November 2023.

Source: ChatGPT

ChatGPT’s familiar, chat-style interface is easy for anyone to start using right away, even if you’ve never heard of generative AI software before. The sophistication of ChatGPT’s interactions is what’s gathered so much attention over the last six months. Not only can it understand what you’re asking it — known as “natural language processing” — but it also remembers the history of your conversation and adjusts its responses accordingly, instead of being a “one-hit wonder” where each new question you ask is like your first interaction.


ChatGPT offers a free tier and ChatGPT Plus for $20 USD/month.

Response speed was the main difference between the accounts until March 14, 2023 with the release of ChatGPT-4, which is currently only available to Plus customers.

Who is ChatGPT for?

ChatGPT is highly versatile, but is especially well-suited to content marketers wanting to scale up production of articles, reports, or other ongoing publishing needs. OpenAI says GPT-4 “exhibits human-level performance” in many scenarios, including passing the bar exam.

Did you know that Hootsuite comes with OwlyWriter AI, a built-in creative AI tool that saves social media pros hours of work?

You can use OwlyWriter to:

Write a new social media caption in a specific tone, based on a prompt

Write a post based on a link (e.g. a blog post or a product page)

Generate post ideas based on a keyword or topic (and then write posts expanding on the idea you like best)

Identify and repurpose your top-performing posts

Create relevant captions for upcoming holidays

To get started with OwlyWriter, sign in to your Hootsuite account and head to the Inspiration section of the dashboard. Then, pick the type of AI magic you want to see in action.

Start your free 30-day trial

OwlyWriter will generate a list of post ideas related to the topic: 

And that’s it! OwlyWriter never runs out of ideas, so you can repeat this process until your social media calendar is full — and sit back to watch your engagement grow.

Start your free 30-day trial


OwlyWriter is included in all Hootsuite plans, starting at $99/month.

Who is OwlyWriter for?

OwlyWriter is perfect for busy social media marketers, content creators, and business owners. If your job involves writing for social media in any capacity — this tool is for you!

Jasper prides itself on generating human-like written content built with team collaboration in mind. It’s like the Google Workspace of AI copywriters. Jasper’s template library and cloud storage make it a great choice for businesses of all sizes to seamlessly draft, edit, and approve copy projects.

Jasper uses a document-style interface. You supply a brief for the content you want, including options for tone, SEO keywords, and more.

Source: Jasper


Jasper offers a free trial for up to 10,000 words of content. Paid plans are based on word count and range from $24 to $500 per month.

Who is Jasper for?

Jasper is perfect for keeping marketing and content creation teams in sync and on brand. The Jasper for Business plan includes a brand tone of voice analyzer to match its content to the tone of your existing content. generates almost-ready-to-publish drafts requiring only minimal human editing. The process is similar to hiring a human writer — give it a topic, a bit of creative direction, approve the outline it generates, and done — but all of it takes only a few minutes. chúng tôi creates articles, social posts, sales emails, and more.

The step-by-step brief format makes it easy to get started, as do the built-in templates, and I was able to generate this blog post in only a few minutes:



Get up to 2,000 words per month for free, or subscribe for $49 USD/month for unlimited words, automatic workflows, translation tools, and more.

Who is chúng tôi for?

Can you really call AI-generated copy “thought leadership?” Questionable. Nevertheless, it’s definitely one of the most powerful AI copywriting tools for solo marketers or teams to boost your production.

QuillBot doesn’t draft content from instructions like other AI copywriters. It’s for rephrasing existing content in new and creative ways. More than basic synonym changes, QuillBot can also simplify content for brevity and clarity, or expand it to add useful details. It also features unique extensions, such as a web research AI search tool, citation generator, and “co-writing” sentence completer.

Source: QuillBot


The free plan limits are 125 words for rephrasing and 2,500 words for summarizing with basic options only. The $19.95 USD/month premium plan offers unlimited word count, additional rephrasing modes, anti-plagiarism tools, and more.

Who is QuillBot for?

QuillBot is great for repurposing content, including simplifying and rewriting sections of articles to use as social media posts or creating multiple versions. It’s a simple and quick way to try out AI copywriting.

Wordtune is another AI rephraser to improve the clarity and readability of your writing. Like QuillBot, you can change the tone of your content and either shorten or expand it. Wordtune also has what it calls “spices” to add some oomph, including statistics, facts, and even jokes.

Source: Wordtune

Is that a coffee-out-your-nose joke? No, but it’s not terrible for AI.


The free plan allows up to 10 rewrites per day, or get unlimited access for $9.99 USD/month.

Who is Wordtune for?

From freelancers to content teams, Wordtune can help you bust writer’s block, repurpose content, and hook your audience faster by clarifying your message.

Notion also has a built-in AI tool. It’s mostly focused on productivity tasks, but there are powerful AI copywriting features, including jargon elimination, idea brainstorming, and even drafting full pieces.

Source: Notion


Notion itself is free. Notion AI is a premium add-on for $10 USD/month per user.

Who is Notion AI for?

It’s a no-brainer for existing Notion users to try out, as well as marketers of all kinds who want to try AI copy, and who are looking for a flexible space for team notes and to dos.

One of the best use cases for AI copywriting is to improve localization via content translation. DeepL uses AI to efficiently translate your content while keeping its meaning and nuance. Of course, at a fraction of the cost of hiring human translators.

That said, just like with content generated from scratch, you’ll want to have someone check it over to make sure it’s an accurate translation. Not only for readability, but also to avoid any potential legal and/or public relations disasters if your translated copy doesn’t quite match up to your original, for example.

Source: DeepL


You can translate up to 3 documents and 3,000 characters for free. The Pro plan, which ranges from $8 to $57 USD/month, gets you unlimited translations and more.

Who is DeepL for?

DeepL can be used on any kind of document, so it’s perfect for businesses expanding to new regions. Large companies also benefit from the cost savings at scale of only needing translators to edit DeepL’s output.

AI copywriting FAQs What is an AI copywriter?

An AI copywriter is a term that refers to copywriting software generates articles, landing pages, website copy, social media posts, and more based on prompts and instructions you give it. AI copywriters use machine learning algorithms to produce human-sounding content at scale.

Is AI replacing copywriting?

AI copywriters aren’t replacing real human content writers. Smart marketers use AI copywriting software to take care of smaller tasks, including idea generation and researching, so they can focus on what really matters: Writing engaging content. Any copy generated by AI still needs a human to edit it for style, substance, and factual accuracy.

Which AI tool is best for content writing?

The best AI copywriting software for you depends on your writing process and goals. Some AI copywriters excel at content repurposing, or adding SEO keywords in a natural-sounding way, and others produce on-brand drafts that only need a bit of editing before publishing. First, decide which part of your process to automate, then seek out the best AI copywriting tool for the job.

AI copywriting isn’t the only way to maximize your productivity. Manage all your social media scheduling, publishing, engagement, analytics, and more — across all your accounts — with Hootsuite. Try it free today.

Get Started

Save time and grow faster with OwlyWriter AI, the tool that instantly generates social media captions and content ideas.

Top 10 Generative Ai Start

The article presents a list of top Generative AI Start-ups to Watch for in 2023 The article enlists the top 10 Generative AI start-ups to watch for in 2023.  Paige.AI

Founded in- 2023

Location- USA

Paige was launched in early 2023 to bring technology created at Memorial Sloan Kettering to the world. The company is developing novel deep learning algorithms based on convolutional and recurrent neural networks as well as generative AI models that are able to meet customers’ demand

Synthesis AI

Founded in- 2023

Location- USA

Veesual AI

Founded in- 2023

Location- France

Veesual AI is an artificial intelligence company that creates virtual try-on experiences for fashion e-commerce. The company focuses on Mix&Matching Style Experience for fashion e-commerce with the help of Generative AI. Veesual AI is among the top Generative AI start-ups to look for in 2023.


Founded in- 2023

Location- USA

Toko helps English learners in East Asia achieve speaking fluency. Through their mobile app, students converse with an AI in brief, realistic chats and get grammar corrections. Learners can practice real-world scenarios including small conversations and workplace dialogues with the help of more than 150 topics. Toko provides a relaxed atmosphere to assist students to gain confidence. The business makes language proficiency available to everyone, not just those who can afford to meet one-on-one with a tutor. Toko is the third-best-rated educational app in Taiwan’s App Store.


Founded in- 2023

Location- USA

Andi is searching for the next generation. It’s a novel kind of conversational search engine with a clever AI helper that provides direct answers to difficult topics. It’s similar to messaging with a knowledgeable friend who serves as a conduit for online information. It provides you with the greatest and most helpful links while explaining and summarising difficult topics. Additionally, it shields you from ad tech and spam. Andi functions by fusing sizable language models with real-time information, logic, and common sense. Our users describe the outcomes as “magical.”

Founded in- 2023

Location- India focuses to democratize video, making high-quality video creation capabilities available to companies of all sizes across all industries. It uses deep learning to generate digital avatars of actual humans that can be used for synthetic video content.


Founded in- 2023

Location- USA

Tavus is focused on building a new video-based experience for marketing and product teams. The company makes personalized video outreach scalable with AI. Record a video once, and send it to thousands instantly completely customized to them.

Hello Cognition

Founded in- 2023

Location- USA

Hello is a next-generation search engine that answers complex questions by combining information from multiple relevant sources into a single concise explanation. Hello is particularly adept at answering complex technical questions that other search engines cannot and can generate code snippets on the fly. If you are curious about a topic, then ask a follow-up question and Hello can dive deeper using the existing context of the conversation.

Revery AI Inc.

Founded in- 2023

Location- USA

Founded by Computer Vision PhDs at UIUC, Revery AI creates a scalable method to visualize garments on people. The technology powers a virtual dressing room where shoppers can mix & match outfits and visualize them on any model instantly online. Their product helps retailers achieve 3.8x conversion rates and 3x add-to-cart rates.

Ordaos Bio

Founded in- 2023

Location- USA

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