5 Revolutionary AI Copywriting Tools to Watch Out for in 2024
How Machine Learning Is Impacting Copywriting Now and For the Future
While AI copywriting is transforming marketing, it raises big questions. With emerging technologies like ChatGPT, Claude, Jasper, and other AI writing tools being released rapidly, these bots can churn out copy quickly while optimizing for SEO and a brand's voice. Some predict they'll dominate the copywriting industry within years.
AI authorship raises concerns. Can bots really understand human needs and emotions? Do AI writers propagate harmful biases? How will plagiarism be detected in AI content?
Understanding both sides will empower copywriters. By making AI a writing aid, not a replacement, humans can utilize cutting-edge tech while delivering creative, resonant work.
AI and Copywriting
Before we venture into the realm of leading AI tools on the market today and how AI copywriting software works, it's essential to have a foundational understanding around artificial intelligence copywriting and the engine of machine learning that fuels it.
With many sources stating that AI is set to produce a staggering $15 trillion boost to GDP by 2030, this colossal contribution to the global economy is a clear indication of the transformative power of AI, and the sphere of copywriting is no exception.
So, what exactly is AI Copywriting? Let's dive in.
What is AI Copywriting?
Instead of a human writer, artificial intelligence algorithms produce the content in AI copywriting with just a few clicks. This type of AI software utilizes machine learning and other natural language processing (NLP) software to produce written content in a human-like manner, whether that's blog posts, social media captions, ads, product descriptions, landing pages, emails, general marketing copy, or any other type of content.
Why Should You Use an AI Copywriting Tool?
Here are some of the key reasons to consider incorporating an AI copywriting tool into your content creation process:
Saves time: AI can generate a complete piece of content in just seconds or minutes, far faster than a human writer. This supercharges productivity.
Lower costs: Because AI is infinitely scalable, there are no human hourly costs associated with content creation. This makes AI-generated copy extremely cost-efficient.
Tap into big data: AI tools analyze mountains of data from top-performing content and learn to mimic what resonates. This data-driven approach helps improve results.
Personalize at scale: With machine learning algorithms, AI can churn out hundreds of personalized content variations for different segments and use cases.
Optimize for SEO: AI writing tools study search engine ranking factors to create on-page content optimized for discoverability.
Understanding the Role of Machine Learning in AI Copywriting
The key ingredient that sets AI copywriting tools apart is machine learning. Here's a quick overview of how it works:
Machine learning algorithms are fed vast datasets of high-performing copy from domains like marketing, blogging, advertising, and more. By analyzing these content examples, the algorithms "learn" the patterns and structures that make human writing effective, persuasive, and engaging.
From there, these algorithms continue to iterate and optimize their training through deep neural networks. Over time, AI gets better at mimicking human writing styles for different purposes.
When you give the trained machine learning model a basic prompt, it can generate complete long-form content, such as SEO-optimized blog posts, that closely replicates what a human would write. The results continue to improve the more data the algorithm ingests.
How Machine Learning is Revolutionizing Copywriting
Armed with machine learning, AI copywriting tools are transforming the present-day copywriting game in several key ways:
Faster ideation: AI can rapidly deliver creative titles, headlines, and angle ideas for posts based on a topic prompt. This turbocharges early-stage brainstorming.
Draft creation: Instead of staring at a blank page, writers can use AI to whip up a complete content draft to work from. This kickstarts the writing process.
Tone and style adaptation: Tell the AI your desired tone (conversational, formal, cheerful, etc.), and it will adapt word choice and style to match.
Error correction: AI copywriting tools have come a long way in grammar and spelling. While human review is still required, AI catches many writing issues.
SEO optimization: Keyword research and analysis happen instantly. The AI considers semantics, synonyms, and related phrases to optimize content.
Personalization: Machine learning can generate hundreds of personalized content variations suited to different customer segments and use cases.
As these capabilities expand, machine learning promises to reshape the role of copywriters and accelerate content production.
AI vs. Human Copywriting: A Comparative Analysis
While AI-generated copy shows a lot of promise, it does have some limitations compared to working with a seasoned human copywriter.
Lacks human creativity: Even advanced AI cannot yet match the ingenuity, imagination, and outside-the-box thinking of skilled copywriters. Its creativity is constrained by its training data.
No strategy involvement: Unlike a human copywriter who will collaborate on strategy and planning, AI is simply an execution tool.
Needs human oversight: AI content requires human review for errors, modifications, and refinements before publication. It cannot operate alone.
Optimization limits: While AI considers some SEO and readability factors, it does not optimize copy the way an expert would.
Limitations with complex instructions: AI performs best with clear, simple prompts. Too many complex directions can confuse it.
The consensus among experts is that AI will complement human writers and copywriters rather than completely replace them in the foreseeable future. The creative, strategic, analytical, and optimization skills of humans will remain essential even as AI handles more draft generation.
Guide to AI Copywriting Tools
If you're considering trying out an AI copywriting tool for your business in 2024, here is a guide to selecting the right solution for you or your business:
How to choose the right AI copywriting tool
With so many options out there, how do you determine the best AI writing software for your needs? Here are vital factors to consider:
Your budget: AI copywriting tools range from free or low-cost basic versions to enterprise-grade solutions with more advanced features. Know your budget.
Content types needed: Some AI tools are stronger for certain content types like social media, blog posts, or ads. Pick one tailored to your needs.
Tone and style capabilities: Try out tools to see if they can match your desired brand voice before committing.
SEO optimization: Evaluate how smart the tool is about optimizing content for search rankings.
Output quality: Review content samples from different vendors to assess quality before buying.
Ease of use: The AI tool should have an intuitive interface and clear prompt formatting guidelines.
Integrations: Opt for AI copywriting software that plugs into your existing martech stack for smoother workflows.
Scalability: As your needs grow, ensure your chosen vendor can scale up capacity.
Factors to Consider When Choosing an AI Copywriting Tool
Focus on these key product capabilities as you evaluate AI copywriting solutions:
Training data quality: The tool should be trained on large datasets of high-performing copy across different industries.
NLP capabilities: More advanced natural language processing software leads to more human-like content. Assess linguistic sophistication.
Copy length: AI tools vary in optimal content length. Ensure yours can handle your typical post lengths.
Tone adjustment: Look for an AI that lets you specify different tones and emotions to match the brand voice.
SEO features: See if it considers semantics, synonyms, and keywords to optimize content for search rankings.
Multilingual: If you need content in different languages, the tool should offer multilingual support.
Plagiarism checker: Built-in plagiarism checking ensures all content is original.
Readability analysis: Opt for AI that provides readability and grade-level scores so you can refine content.
Summarization: Some AI tools can summarize research content into critical points for inclusion.
Pricing model: Compare pricing models like subscriptions, pay-as-you-go, credits, etc. to control costs. There are also very few free AI copywriting tools available today, so considering the different pricing structures for some of these companies is essential.
What To Look For In AI Copywriting Software
Here are the key technical capabilities and features businesses should look for in an enterprise-grade AI copywriting solution:
API integration: Ability to integrate the AI writing functionality via APIs into your CMS, marketing automation platform, etc.
Cloud-based: A cloud-based software-as-a-service solution for easy access from anywhere
Managed service option: Some vendors provide teams of humans to manage and optimize the AI on your behalf.
Ongoing model training: Opt for AI tools that continually train their algorithms on new data to improve over time.
Version control and comparison: Ability to see previous content versions and compare changes
Collaboration: Writers should be able to give feedback on AI content to improve algorithms further.
Custom model training: For more tailored results, some AI tools let you train models on your own content data.
Project management: Features to organize and manage AI-generated content within projects or campaigns
Batch content creation: Generation of hundreds of personalized content variants in bulk for one prompt
A/B testing: Test how different AI-generated content options perform to guide tool training.
Analytics: Reporting and analytics around content performance, topics, keywords, etc., to optimize content
Review of the Best Rated AI Copywriting Tools Out Today
Now that we've covered the basics, let's dive into a review of five leading AI copywriting software and platforms emerging in 2024:
The 5 best AI copywriting tools
Tool 1: OpenAI's GPT
Overview and Key Features
OpenAI, the developer of GPT, launched its language model in 2018. This cutting-edge AI technology is well-regarded for its advanced language understanding and generation abilities.
Key features include:
Detailed long-form content generation
Capable of creating unique text based on input prompts
Dynamic language adaptation from formal to casual
Potential for use in SEO optimization
Summarization of complex documents
Creativity and idea generation based on provided context
Advanced text analytics
Pros and Cons
Pros
Advanced document summarization capabilities save research time.
Capable of providing insights through text analytics.
Language adaptation produces a wide range of writing tones.
Access to research capacity is generally free.
Cons
Does not offer SEO tools or keyword optimization features.
Training of custom AI models on brand voice is not a straightforward process.
Does not directly offer meta tag or image generation.
The speed of content generation can vary based on specific tasks and complexity.
Pricing and Plans
OpenAI has a pricing model that includes:
Free tier with limited API calls
Pay-as-you-go Plan (Starting at $20 per 20,000 tokens)
Custom Plans for large-scale or enterprise usage are also available.
Tool 2: Jasper.ai
Overview and Key Features
Jasper is a leading AI copywriting tool founded in 2020 that's powered by GPT-3. It raised $125 million in Series B funding in 2022.
Key features of Jasper include:
Long-form blog post creation
100+ content templates
Tone adjustment from professional to friendly
SEO optimization tools, including a meta tag generator
Custom model training on-brand content
Ideation tools like headlines and idea generators
Plagiarism detection
Pros and Cons
Pros
Impressively human-like, high-quality content generation
Custom model training ensures brand-aligned content.
Advanced creative ideation tools
Bulk content creation capabilities
14-day free trial
Cons
Prices are higher than competitors.
Limited content type options beyond blog posts
The slowest content generation speed of the tools reviewed
Cannot compare previous content iterations.
Tool 2: Pricing and Plans
Jasper offers four pricing tiers:
Free (limited use)
Team ($49/month for 10,000 words)
Business ($99/month for 50,000 words)
Enterprise (custom pricing)
Tool 3: Copy.ai
Overview and Key Features
Founded in 2020, Copy.ai is one of the most buzzed-about AI copywriting startups. The company has raised $2.9 million in seed funding to date.
Copy.ai's key features include:
Generating blog posts, social media posts, ads, emails, and website copy
Adjustable tone ranging from formal to conversational
SEO optimization, including keywords and meta descriptions
100+ templates for content formats
Bulk content generation
Readability analysis
Plagiarism detection
Pros and Cons
Pros
Speedy content generation, often under 20 seconds
Varied content types beyond just blog posts
Simple and intuitive prompting process
Solid SEO features include meta tag generation.
The plagiarism checker maintains originality.
Cons
Cannot train custom AI models on brand voice.
There are no analytics on past content performance.
Limited customization options for tone and style
The free trial limits you to 700 words per month.
Pricing and Plans
Copy.ai has three pricing tiers:
Free (with a 700 word/month limit)
Pro ($47/month for 7,000 words/month)
Business ($97/month for 50,000 words/month)
Bulk plans are also available, with 500,000 words starting at $997 per month
Tool 4: Claude AI
Overview and Key Features
Developed based on Anthropic’s research, Claude AI is a next-generation AI assistant designed to be helpful, honest, and reliable. With its chat interface and API, Claude can handle a wide variety of conversational and text-processing tasks reliably and predictably.
Key features include:
Advanced long-form creative and collaborative writing
Capable of assisting with coding tasks
Summarization and search capabilities
Dynamic adjustment of personality, tone, and behavior
Question and Answer handling
Reliable and predictable output
Easy-to-use and steerable nature
Pros and Cons
Pros
Ability to handle long-form content creation creatively and collaboratively.
Summarization and search features that can save time and improve efficiency.
Ability to adjust personality, tone, and behavior to match desired output.
Coding assistance capability enhances its utility for developers.
Users report less likelihood of harmful outputs, a testament to its safety.
Cons
Does not offer specific SEO tools or keyword optimization features.
Absence of image or meta tag generation.
The speed of content generation can vary based on task complexity.
Pricing and Plans
Claude AI's pricing model is based on the scope of usage, offering various plans that include:
A developer-centric option with API access.
Custom plans tailored for enterprise use.
Exact pricing details are to be requested from the Claude AI team, as they may vary based on the scale of usage and the specific needs of the user or business.
Tool 5: Writesonic
Overview and Key Features
Writesonic markets itself as the "AI Copywriter for Businesses" and has over 700 customers.
Key features include:
Blog writing
100+ templates for ads, emails, social media, etc.
Tone and style adjustment
SEO optimization with keywords
Image generation
Ideation, including headlines and angles
Multilingual content
Plagiarism detection
Pros and Cons
Pros
One of the fastest content generation speeds
Multilingual support for global businesses
Strong visual content creation with images
Usage-based pricing provides flexibility.
A free version is available.
Cons
Cannot train AI models on-brand content.
Limited analytics on past performance.
Cannot compare previous content iterations.
2-week delivery time for custom AI models.
Pricing and Plans
Writesonic has three pricing options:
Free version with limited words
BYO plan at $0.005 per word
Pro plan at $0.003 per word
Custom models cost $599 as a one-time fee over 2 weeks.
While we can't tell you which one of these is the best AI copywriting tool to use, our goal is to provide a breakdown of what each service offers so that no matter which AI-powered copywriting tool you use, you have a good idea what will work best for you and your company.
Deep Dive into Features of AI Copywriting Tools
Now that we've covered the top three writing tools out on the market, let's take a deeper look at some of the sophisticated AI copywriting capabilities and features fueling this revolution:
Writing Style and Tone: How AI Mimics Human Writing
One of the most impressive capabilities of advanced AI copywriting tools is their ability to adapt their style and tone based on your needs. But how do they pull this off?
Through machine learning, these AI models have analyzed vast datasets of high-performing content across every industry vertical imaginable. They've identified the nuanced patterns in language, sentence structure, storytelling, and emotion that resonate with human readers based on their purpose.
So whether you need an AI writing tool for formal, informative writing, or a breezy, conversational style for social media, the AI can instantly adapt its word choice, voice, sentence structure, and more to match. The AI examines aspects like:
Sentence length variation
Active versus passive voice
Use of visual language
Incorporation of numbers, stats, and facts
Selection of adverbs, adjectives, and descriptors
Integration of cultural references or humor
Inclusion of rhetorical questions
With the right prompt, the most advanced AI copywriting tools produce scarily human-like writing across different tones and styles.
Content Generation: From Short Ads to Full Blog Posts
Another impressive capability is flexibility across content length and format. While earlier AI models could only manage a few sentences, modern tools like Jasper and Copy.ai can generate entire blog posts of well over 1,000 words at the push of a button.
Even more powerful, these tools can construct entire libraries of content in different categories based on your broad prompts. By analyzing top-performing structures and copying best practices for, say, product reviews versus listicles versus tutorials, the AI can churn out 100 articles tailored for a site section without any human input.
For shorter copy, AI copywriting software can instantly generate copy for social media, punchy ad headlines, subject lines, website landing pages, page copy, emails, and more using proven formulas and patterns. Tools like INK provide hundreds of templates to guide the AI in crafting optimized copies of any length for every need.
Even for new ad formats on platforms like TikTok or Instagram Reels, the AI examines current trends and helps produce catchy, engaging text suited to these mediums. The algorithms continually learn from the changing social media landscape and create content themselves.
Plagiarism Checker: Ensuring Unique Content
One common concern about AI content is that it may inadvertently plagiarize content ideas from somewhere else on the web.
Thankfully, leading AI copywriting tools integrate plagiarism-checking capabilities to verify all content is completely original before outputting it.
For example, Copy.ai and Jasper run each piece of generated text across webpages and public content databases to identify any partial or full matches. Even a couple of consecutive words matching another document will automatically trigger the AI to try again.
The plagiarism scan provides peace of mind that the published AI copy is 100% original. Any overlaps get flagged for human review before finalizing the content.
As an added protection, enterprises can specify that the AI copywriting tool only access private corporate content for training to guarantee zero plagiarism risks.
SEO Optimization: Creating Google-Friendly Content
Another key application of AI copywriting is creating on-page content optimized for search engine discoverability.
AI tools analyze the factors that influence ranking, such as:
Keyword placement and density
Inclusion of related semantics and synonyms
Appropriate use of subheadings and formatting
Proper keyword mapping to images or media
Readability metrics like sentence length, passive voice, etc.
Integration of outbound links to authority domains
On-page factors like meta titles and meta descriptions
By mimicking patterns from top-ranking web pages, machine learning algorithms can generate content and then construct new posts perfectly optimized for SEO.
Many tools, like Writesonic, even auto-generate SEO meta tags for each post to maximize click-through rates from search engines.
AI takes care of the grunt work of SEO, freeing writers to focus on crafting compelling content instead of technical optimizations.
Multilingual Support: Translating Content Effectively
For global businesses, adapting content for different languages is a massive headache. Thankfully, AI automation also offers a solution here.
Leading tools like Writesonic integrate automatic translation capabilities, so you can prompt the AI to output blog posts or social media captions in multiple languages, like Spanish, French, German, etc.
Machine learning examines vast datasets of high-performing content in other languages to mimic those linguistic patterns. This ensures the translated copy flows naturally rather than seeming stilted or awkward.
AI translation eliminates the painful manual work of sending content to translators one language at a time. The algorithms scale instantly across dozens of languages and locales.
For multinational companies, AI copywriting, together with automated translation, supercharges global content reach and relevance.
The Impact of AI Copywriting Tools on Content Creators
It's clear that AI copywriting solutions offer transformative capabilities and use cases for marketers and copywriters. But what is the real-world bottom-line impact on content operations?
Enhancing the Content Creation Process
AI copywriting augments human-led processes rather than replacing them outright. The technology supercharges productivity through:
Faster ideation: Kickstart brainstorming with AI-generated titles and angles.
Rapid draft creation: Humans polish machine-generated drafts rather than writing from scratch.
Research acceleration: Automatically summarize source documents to pull insights faster.
Enhanced collaboration: Writers provide feedback on AI content to improve results continuously.
More personalization: Use AI for mass-customized content tailored to different segments and use cases.
Optimized for success: Continuously analyze past performance to guide AI content improvements.
Impact on Marketing and SEO Efforts
The data-driven, optimized nature of AI copy also improves marketing and SEO outcomes, including:
Higher engagement: Data-backed content resonates more with human emotions and needs.
Improved conversions: On-page SEO and readability optimizations increase desired actions.
Faster rankings: AI-generated content prioritizes search engine ranking success.
Expanded reach: Multilingual AI content opens up new global markets.
Stronger brand lift: Adaptive AI writing matches brand voice and personality.
Higher efficiency: AI achieves more marketing impact for less human effort.
Time and Cost Efficiency: A Closer Look
Just how big are the time and cost efficiency gains with AI content generation? The numbers are staggering.
According to the company's own benchmark tests, Copy.ai found that:
Short social media captions take 15 seconds for AI to generate, versus 15–20 minutes for a human. That's 60 times faster.
Long-form blog posts take 30 seconds for AI versus 4-5 hours for human creators. That's 500–700 times faster.
This translates to enormous human time (and cost) savings, enabling content teams to accomplish far more in a day.
For context, Copy.ai estimates that a 10-person team could generate 1 million words per month using their AI tool, compared to just 50,000 words through manual human effort.
The efficiency at scale is unmatched. AI copywriting enables enterprises to expand content volume and variety without inflating headcount or human overhead. With these tools, writing entire blogs or creating engaging content that resonates with your target audience in the least amount of time has become possible for content writers everywhere.
The Future of AI Copywriting
AI copywriting capabilities have already come a long way in just the past 2–3 years. But this is just the tip of the iceberg in terms of future potential as the technology matures.
Will AI Replace Human-Generated Content?
While AI will displace some essential human written content, the consensus is that it will never fully replace copywriters, especially for high-value work. AI lacks human creativity, strategy, and judgment.
However, for mass-produced blog posts, social posts, localized content, an entire blog post, and other high-volume needs, AI will dominate. The smart approach combines algorithmic generation with human oversight and refinement.
Think assembly line: AI outputs "raw materials" rapidly, then people optimize, productize, and perfect them into compelling end products.
This human-AI tandem maximizes creativity AND scalable efficiency.
Predictions for the Future of AI and Copywriting
Over the next 3–5 years, experts predict:
More training data: With more content to learn from, AI quality will keep improving.
Faster generation: In 5 years, long-form content creation may take just seconds.
Wider content types: AI will expand beyond articles and social posts to emails, scripts, speeches, and more.
More customization: Writers will increasingly "tune" AI with custom data to perfect brand voice matches.
Creative enhancement: Tools like idea generators and headline creators will mature to boost ideation.
Optimized outcomes: Increased analysis of past performance will make AI content more results-driven.
Mainstream adoption: AI copywriting will become a standard element of content stacks rather than a novelty.
Getting Ready for an AI-Powered Future of Content Creation
To harness this AI-fueled content landscape, writers and marketers should future-proof their skills and processes, including:
Learning to work in tandem with AI tools on strategy and creation
Developing abilities to refine and optimize raw AI drafts
Practicing writing clear, optimized prompts to guide AI
Maintaining creative skills that AI cannot yet replace, like human ingenuity.
Focusing on high-level strategy vs. routine task execution
Embracing analytics to improve AI content for better performance continuously
Final Thoughts on the 5 Best AI Copywriting Tools for 2024
The top AI copywriting solutions make producing high-volume, optimized marketing content at scale a breeze instead of a burden. They provide a blend of creative ideation, raw draft output, and data-driven optimization that maximizes results.
While human oversight remains essential, AI copywriting does much of the heavy lifting. For enterprises ready to supercharge content production, incorporating AI through solutions like Jasper, Copy.ai, INK, or Writesonic should be a top priority for 2024.
Encouragement for Continued Exploration and Adaptation in AI Copywriting
As this technology continues to evolve rapidly, there is no better time than now for content teams to start exploring how AI can enhance their work. Even in its current state, AI copywriting delivers tangible time, cost, and quality benefits. And it is sure to delight as it progresses.
By embracing a collaborative mindset and working alongside this technology, we can allow AI to amplify human creativity rather than fear it. The writers who will thrive are those who proactively integrate and optimize AI as part of their toolkit today. The future of copywriting is already here.
Frequently Asked Questions
How do AI platforms generate copy?
AI copywriting utilizes machine learning algorithms trained on vast data of high-performing marketing and advertising content. By analyzing these examples, the AI learns human patterns of effective writing and can generate new posts optimized for search, engagement, and conversions.
What types of copy can AI generate?
The leading tools can produce all types of copy, including long-form blog posts, social captions, ad headlines and body text, landing pages, emails, website content, and more, in just seconds.
Is AI-generated content plagiarized?
Quality AI copywriting platforms run built-in plagiarism checks before outputting content. The text is generated freshly rather than copying existing text. Companies can also customize the data the algorithm trains on.
How is the quality of AI copy?
Output quality continues to improve rapidly as machine learning models ingest more data. While AI text requires human review, tools like Claude, Jasper, and Copy.ai produce impressively high-quality drafts to work from.
Can AI copywriting replace human writers?
AI augments teams to make them more efficient. But strategic oversight from experienced copywriters is still vital for planning, creative direction, optimizations, and quality checks. AI will dominate more basic content needs at scale.
What does the future look like for AI copywriting?
Advancements in training data, faster generation speeds, expanded use cases, more customization, and performance optimization will drive rapid maturation. Over the next 5 years, AI integration will accelerate across marketing and become more mainstream.
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