Comparison Charts, Copy Generators, Marketing Tools, Best Practices
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TL;DR
AI copywriting tools have a wide range – they can help with content creation, editing, SEO optimization, repurposing, and more. While they save time and boost efficiency, their success depends on how they’re used. This guide compares the best AI tools and outlines best practices for using them effectively. The best choice depends on your needs – whether it’s automation, editing, or personalization. It also depends on what is already working, as AI copywriting won’t fix a flawed strategy. AI can improve your workflows, but it requires human oversight for accuracy, brand voice, and strategic alignment.
Is There An AI For Copywriting?
You bet there is – and there are AI tools for copy editing, content creation and repurposing, data analytics, SEO optimization, and more.
AI has only become mainstream in the last few years, but the majority of marketers (a whopping 70.6%) believe AI does better than humans in marketing tasks. 69.1% have already integrated AI into their operations (Influencer MarketingHub, 2025).
If content is king, then copy must be queen – and the court is in chaos since AI copywriting tools introduced themselves.
Artificial intelligence – the new advisors – is helping some businesses rule their competition. Other times, it’s making claims it doesn’t deliver.
Every new tool claims to rule engagement, conversions, and SEO. But which should you pick? Should you pick any?
In the current crowded digital scene, standing out with high-quality content is tough. In the past, businesses needed to grab attention from others, then search engines, then social media algorithms – now, they’re trying to get noticed by AI too.
People were eager for AI capabilities well before it arrived, so it caught on quickly.
AI copywriting tools started reshaping how copywriters craft everything – from direct-conversion copy to pieces of content. AI also does well with the ancillary tasks, which is letting experts focus on strategy and what they do best.
Both freelance copywriters and big businesses now have disproportionately more power than their budgets once allowed.
Is AI the overlap of fast, cheap, and good? For many businesses, the answer is a resounding yes.
68% of companies report seeing a boost in their content marketing ROI, thanks to AI solutions (HubSpot, 2024). Popular use cases include research (33%), content creation (31%), and data analysis (30%) (HubSpot, 2025).
But isn’t using AI bad for SEO? Don’t algorithms penalize it?
Not anymore.
Google has clarified that high-quality, people-first AI-generated content aligns with its guidelines (Google Search Central, 2023). AI-generated content is fine as long as it helps users and isn’t spam to game rankings.
But what exactly can AI copywriting tools do?
How do they compare to each other?
And how can businesses harness them without sacrificing creativity, brand voice, and strategy?
Here’s what we’ll cover in this guide:
- A 10,000 foot view of AI copywriting tools
- Detailed comparisons of top tools for 2025 – from features to pricing
- The best AI tools for different businesses
- Best practices for using AI copywriting generators to support your marketing goals
We built out this guide to help copywriters wrap their heads around AI tools that’re directly applicable to their work.
We want you to come away with actionable insights on how AI can make your job – and your client’s jobs – easier.
Let’s begin.
Which AI Tool Is Best For Copywriting?
They range from simple help to full automation, and the best choice depends on your copywriting task and skill level.
“AI allows small businesses – who many times do not have the staff or resources of their competitors – to punch above their weight.” – Jordan Crenshaw, Sr. VP of the U.S. Chamber’s Technology Engagement Center
Text generation is only an element of copywriting, so it makes sense that there’s AI copywriting tools beyond simply “writing.”
AI copywriting tools generally fit into five main categories:
- Tools That Generate Copy. These create full drafts for you from one or a few prompts.
- Tools That Assist With Writing Improvement & Editing. These help with ancillary writing tasks.
- AI-Powered Personalization & Optimization Tools. These tools analyze data to inform your copy for better performance.
- AI Tools for Content Repurposing. These stretch your content further by turning one piece of content into multiple or a different medium.
- AI Chatbots. It’s the all-in-one AI marketing tool. They can be used for text generation, optimization, and beyond.
An AI copywriting tool’s value completely depends on what you need help with and how you like to write.
Here’s a breakdown of each category to help you find the right fit.
Tools That Generate Copy
These create complete pieces of copy or content from scratch based on user input, prompts, or data.
You’ve probably read copy from these kinds of tools recently – Amazon, Microsoft, Meta, and more use these technologies.
Some tools are standalone AI copywriting tools (like Jasper), while others are part of broader marketing software that includes AI-powered writing (like HubSpot).
They’re ideal for marketers and businesses looking to scale content production. They work for almost any type of copy, and many handle multiple formats.
Pros:
- Generates content very quickly
- Offers brand consistency
- Optimizes for SEO
- Helps with brainstorming
- Scales easily for high-volume needs
Cons:
- Can sound generic or robotic
- Struggles with nuance and emotional depth
- May require heavy editing
- Risks creating unoriginal or plagiarized content
- Premium tools can be costly
Tools range from basic to premium. Higher-end ones (like Acrolinx) are much better at brand voice and style alignment, data integration, and creating original content – but they also cost more. Jasper starts at less than $500/year, while Acrolinx starts at $15,000/year.
Another important consideration: the pre-set structure helps non-copywriters, but if they’re unfamiliar with marketing, it’s easy to miss low-quality or off-brand AI content. For example, a tool might maintain a consistent voice but not match the brand’s true voice.
For writers who need more help with editing than generating copy, AI tools can also assist with the process.
Tools That Assist With Writing Improvement & Editing
These tools don’t generate full copy but help expedite the editing process.
They typically assist with grammar, readability, tone, and clarity. Some check for plagiarism, do a deep analysis of your work, and assess whether your work sounds like it was written by AI.
They’re accurate and on-demand. These tools are great for copywriters who need professional feedback and edits without waiting for an editor.
Like the copy generators, there’s a scale. Some writing assistants (like Grammarly) focus more on writing mechanics, while others (like Type.ai) offer instant on-page edits with style and structure suggestions.
Since they’re built to improve writing, they can be used for any type of copy. Plus, many free versions are available.
Pros:
- Improves clarity and readability
- Catches grammar and spelling errors
- Adjusts tone and style, speeds up editing
- Helps non-native speakers refine writing
- Is typically inexpensive,
- Eliminates the need to wait on an editor
Cons:
- Can over-simplify writing
- Suggestions aren’t always accurate
- Lacks true creativity
- May not align with brand voice
- Premium features often require a subscription.
A writer using one needs a strong grasp on the brand voice, target audience, and copy intent. AI editing tools don’t do the heavy lifting of writing, but they streamline the process substantially.
There’s also AI tools for writers who need more optimization and SEO support.
AI-Powered Personalization & Optimization Tools
These tools don’t generate or edit copy – they make it perform better.
They analyze data, user behavior, and search trends to suggest improvements for engagement, conversions, and SEO.
Some tools (like Surfer SEO) focus on optimizing blog posts and website copy for search engines, while others (like NeuralText) analyze existing content and provide strategic insights on what to improve.
Since they’re built for different kinds of performance, they’ll apply to some forms of copy more than others. For example, optimizing newsletter copy won’t require SEO features, but would benefit from analyzing data from other successful emails.
Pros:
- Enhances SEO
- Improves audience targeting
- Increases engagement and conversions
- Provides real-time insights
- Helps optimize existing content.
Cons:
- Requires user understanding of SEO and analytics
- May not always align with creative intent
- Can be expensive
- Often requires manual adjustments to fully implement recommendations
Writers and marketers using these tools should understand their audience and SEO best practices. AI can suggest improvements, but strategy and execution still rely on human expertise.
There are also AI copywriting tools designed to help with content repurposing – turning one piece of content into several formats for different platforms.
AI Tools for Content Repurposing
These tools help you get the most out of existing content.
They transform blog posts into newsletters, rephrase copy for different audiences, convert videos into transcripts or articles (and vice versa), and more. These features are especially useful since different platforms prefer different content formats, even when the message stays the same.
For example, a long-form blog post can be repurposed into a short LinkedIn article, X threads, an Instagram carousel, and a YouTube video script – all from the same core content.
They’re a huge time-saver for marketers who need to maximize their output without constantly starting from zero.
Repurposing isn’t lazy – it boosts brand visibility. Many leads only consume a company’s content on one or two preferred platforms. Someone who prefers emails won’t mind if the same content exists as a LinkedIn article.
Since they’re built to rework content, they can be used across various formats – helping businesses keep a consistent message while adapting for different channels.
Pros:
- Saves time
- Increases content reach
- Maintains consistency across platforms
- Helps with rewriting and paraphrasing
- Reduces the need for manual repurposing.
Cons:
- Can lose nuance or original tone
- May require human oversight for accuracy
- Sometimes lacks deep customization
- May lose quality when forced to expand content
- Premium features often require a subscription
- Requires user to understand how to make content “native” to another platform
To get the best results, users need to guide these tools with clear intent and a strong understanding of the intended platform.
Different platform algorithms have unique content preferences that constantly evolve. User intent also changes by platform, even within the same target audience. A blog post might have strong hooks for readers, but those same hooks may not grab attention in a talking-head style TikTok video.
Engaging content, even when repurposed, requires testing and refinement. Simply using AI to reformat successful content for different platforms doesn’t guarantee success.
There are also AI tools that work as a catch-all.
AI Chatbots: The All-In-One Copywriting Tool
AI chatbots are the all-in-one tool for copywriters.
If specialized AI tools are like a drawer of user-friendly kitchen utensils for a specific task, AI chatbots are the entire kitchen. You need to know where things are and how to use them, but they’re extremely flexible.
Since they’re so versatile, AI chatbots can support nearly any copywriting task. From brainstorming and drafting to editing, research, and SEO, its only limit is how well you guide it.
Chatbots act as on-demand writing partners. Some work solely with their own data training (like Claude), while others (like ChatGPT or Perplexity) have access to the internet, allowing for research as well.
Pros:
- Speeds up writing and editing
- Helps with brainstorming
- Improves clarity and tone
- Optimizes for SEO
- Are inexpensive
- Consolidate tools
- Can assist with research.
Cons:
- Require strong human guidance
- Can generate generic or repetitive content
- May require fact-checking
- Lacks deep creativity
- can’t check for plagiarism well
- May hallucinate
- Still needs human oversight for brand consistency
Using AI chatbots effectively is about knowing what to ask. They can’t replace strategy or brand voice, but they’re powerful tools for copywriters who provide clear direction and original input.
Next, we’ll get specific about comparing specific AI copywriting tools.
Comparison – What Is The Best Copywriting AI Tool?
To choose the right AI copywriting tool, you need to clarify your business needs and marketing goals.
- What specific tasks do you need AI to help with? Are there parts of your workflow that need support, or do you need help with a type of copy? This will help narrow down options and match expectations.
- Do you need SEO? AI writing tools may not integrate SEO well unless it’s a dedicated feature.
- How much are you willing to edit AI outputs? Most AI copywriting tools require heavy editing unless you use premium software trained on company-specific data.
- What privacy and compliance features do you need? If you’re working with private information alongside AI, you’ll need tools with appropriate guardrails and security features.
- How much do you plan to use the AI? AI tools typically have limits with each plan.
- Do you need software integrations? AI writing platforms often connect with SEO tools, customer relationship management (CRM) systems, and collaboration platforms workflows.
- What’s your budget? You can enjoy AI tools for free, or premium specialty software for thousands of dollars a month, depending on your needs.
Many AI writing tools offer both free and paid options, as well as tiered pricing.
Free and lower tiered versions typically come with restrictions on word count or features. Paid plans range from entry-level subscriptions to enterprise-level solutions designed for scalability.
Businesses should also be aware of usage limits, especially for teams with multiple users. Some platforms cap the number of AI-generated outputs per month, which can affect your scalability if content demands are high.
For a quick comparison on pricing and features, check out the comparison charts below to see what AI copywriting tools would be the best fit for you.
- The first compares copywriting-specific tools
- The second compares chatbots you can use for copywriting
- The third compares copywriting support tools
AI Copywriting Tools Comparison Chart
| Tool | Pricing | Key Features | Unique Features |
| Jasper | $39/month (Creator); $59/month (Pro) | 50+ templates, SEO integration, tone adjustment | Built-in integration with SurferSEO, team collaboration features |
| Copy.ai | Free plan; $49/month (Pro) | Templates for social media, ads, blogs; quick content generation | Minimal input for generation, focuses on creative marketing content |
| WriteSonic | $12.67/month (Starter); $66/month (Business) | AI-driven blog generation, paraphrasing, ad copy tools | Optimized for long-form content and product descriptions |
| Rytr | Free plan; $29/month (Unlimited) | Multiple use-case templates, tone customization | Budget-friendly, collaborative document editing |
| Copysmith | $19/month (Starter); Enterprise pricing available | AI-powered ad and product copy, workflow automation | Designed for large eCommerce businesses, bulk content creation |
| Writer | Custom pricing | Style guide enforcement, brand voice consistency | Enterprise guardrails, customizable brand dictionaries |
| Grammarly | Free plan; $12/month (Premium); $15/month (Business) | Grammar checking, tone suggestions, style adjustments | Real-time writing assistant, browser integration |
| WordAI | $57/month | Paraphrasing, sentence rewriting | Highly advanced NLP for contextual rewriting |
Chatbots for Copywriting Comparison Chart
| LLM | Pricing | Key Features | Unique Features |
| ChatGPT | Free; $20/month for Plus, $200/month for Pro | Text generation, conversational AI, context handling | Multiturn conversations, plugins for enhanced functionality |
| Claude | Free, $18/month for Pro, $25/month for Team | Large context windows, AI safety-focused design | Optimized for long-form conversations and document analysis |
| Perplexity | Free with advanced search features | AI-driven search engine with cited sources | Focus on verified information and search-based responses |
| Grok | Included with X Premium subscription ($8/month) | Integrated with social media platform X (formerly Twitter) | Context-aware content suggestions for tweets |
| Gemini | Free, with additional pricing per token after 4 million | Advanced AI by Google DeepMind, multimodal capabilities | Combines text, images, and other media for richer content generation |
| Microsoft Copilot | $30/user/month (add-on for Microsoft 365 Enterprise) | Integration with Microsoft Office apps | Seamless support for Word, Excel, and PowerPoint content generation |
| Cohere | Custom pricing for API access | Text embedding, summarization, and classification | Designed for enterprise-scale NLP applications |
AI Copywriting Support Tools Comparison Chart
| Tool Name | Description | Key Features | Pricing |
| Grammarly | A writing assistant that offers real-time grammar and spell checking, style suggestions, and tone detection. | – Grammar and spell check- Style and clarity improvements- Tone detection- Plagiarism detection | Free plan available; Premium plans start at $12/month |
| ProWritingAid | A comprehensive writing tool that provides in-depth reports to improve writing style, grammar, and readability. | – Detailed writing reports- Style and structure suggestions- Integrations with various platforms | Free version with limited features; Premium plans start at $20/month |
| QuillBot | An AI-powered paraphrasing tool that helps in rewriting content to improve clarity and comprehension. | – Paraphrasing- Grammar checker- Summarization tool- Citation generator | Free plan available; Premium plans start at $10/month |
| SurferSEO | An AI-driven SEO tool that analyzes content and provides recommendations to improve search engine rankings. | – Content editor with SEO suggestions- Keyword research- SERP analyzer- Content planner | Plans start at $49/month |
| Clearscope | A content optimization platform that helps writers create SEO-friendly content through keyword and content analysis. | – Keyword research- Content grading- Competitor analysis- Integration with popular writing platforms | Plans start at $170/month |
| Frase | An AI tool that assists in content research and optimization by analyzing top search results and suggesting relevant topics. | – Content brief generation- SEO optimization- Answer bot for websites- Content analytics | Plans start at $14.99/month |
| MarketMuse | An AI-powered content research and optimization platform that helps in planning and crafting high-quality content. | – Content audit- Topic modeling- Competitive analysis- Personalized difficulty scores | Free plan available; Premium plans start at $149/month |
Best Practices – Is It OK To Use AI For Copywriting?
Yes, but good AI collaboration is all about good quality control. AI is an excellent copywriting support when your goals are clear, you give it quality prompts/data, and you don’t use slimy tactics.
Ethical copywriting keeps the focus on getting value to the customer, especially when AI is involved.
Here are some core best practices to get the most value from these AI copywriting tools:
Understand The Foundations Of Good Copywriting And Marketing
“Like a fledgling copywriter, AI can get you 75% of the way to a sendable message.” — Tim Yeadon, Founder of Clyde Golden (Clyde Golden, 2024)
Did your AI tool generate a good headline? How can you tell?
If you don’t know the basics, it’s hard to quality control AI copywriting.
And if you don’t know your audience and brand voice, you’ll miss the foundations of persuasive writing – consistency and a voice that resonates.
Imagine giving a new hire a quick overview of your brand, audience, and copy you want. Even if they’re talented and experienced, you can’t expect them to replicate your vision. They don’t know your company, and they can’t read your mind.
It’ll take clear communication, practice, and feedback. It’s the same with using AI to do your copywriting.
Plus, even exceptional copy may not land as well as you’d hoped with your audience. Finding winners simply takes testing and adjusting. That’s marketing.
Similarly, a blog generator won’t automatically create engaging posts just because you provide some context.
AI can enhance content production, but knowing essential copywriting principles will improve the tool’s output – and your edits.
Clarify Your Content Funnel And Objectives
“Does your content lead readers on a journey, or does it merely stuff them as leads into a pipeline?” — Ann Handley, Chief Content Officer of MarketingProfs (ActiveCampaign, 2024)
Pieces of copy are team players guiding a lead through a funnel journey.
Each piece picks up where the last left off and leads to the next step. For example, a lead magnet leads to an email list. The email list sequence leads to a landing page.
If you’re not clear on your funnel, or the goal of each piece of copy – AI copy creates awkward handoffs.
This can create major funnel leaks. Leads lose interest before they get to the end and make a purchase. All the money and effort put into getting those leads – the ads, content, outreach – is wasted.
Before using AI, clarify what you need each piece to do – where it fits in the funnel, what action it should drive, and how it supports the bigger picture.
A blog is never just a blog. How are you planning to get traffic to the blog? What’s the CTA – and is the “ask” too much or too little within the context? Is the blog engaging and credible enough for the CTA to feel like a natural next step?
AI won’t inherently know these things. It doesn’t have the context and niche knowledge you do. Without them, CTAs can feel off, leaving readers confused, disengaged, and less trusting.
However, if you’re clear on these details, your AI use becomes very streamlined.
Make sure your AI-generated content aligns with your marketing funnel. Tailor content to match where readers are in their journey – awareness, consideration, or conversion.
Provide Relevant Data And Context
“AI content can only take you so far. Without personalisation, you lose the emotional connection that drives decisions.” Dylan Kohlstädt, CEO & Founder of ShiftONE Digital (Instagram, 2024)
AI pulls from its training data and the internet…but the most valuable elements of your copy comes from original company data. AI won’t have it unless you provide it.
Some of these elements include:
- Company case studies and results – Success stories that build credibility
- Testimonials and feedback – Customer experiences that make messaging relatable and persuasive
- Original data collected – Industry reports, surveys, ratings, or internal analytics
- Brand voice and messaging guidelines – Specific tone, style, and language that sets your brand apart
- Customer pain points and objections – Firsthand knowledge of what your audience struggles with and how they talk about it
- Product or service differentiators – What makes your offer unique and competitive
- Brand SEO/ad/social media strategy – Keywords or audiences you’re targeting, your brand’s content pillars, and your current social media outreach plans
These details are what give your copy a persuasive, authoritative, and engaging edge. They also help you avoid that AI-generated feel, making your brand more credible than competitors relying solely on AI to generate text.
Think about a product description – what makes it more appealing? A description inspired by similar product descriptions or one that highlights key specs and what customers love most?
AI tools perform better when given meaningful inputs, and feeding the AI detailed prompts improves relevance. When writing copy with AI, create context-heavy prompts and attach relevant documents for AI to reference.
Guide AI To Maintain Brand Tone And Voice
“Brands that lean too heavily on AI in their marketing are in danger of losing the unique characteristics that make them ‘them.’” – Jennifer Armstrong, Attest Marketing Director (Quirk’s Media, 2024)
AI struggles to replicate brand voice because it’s built on emotion, identity, and real-world interactions that resist automation.
Understandably, this means brand voice in AI copywriting needs a heavy human oversight.
While you can guide AI upfront with some types of data, true brand alignment happens in editing. It’s in the granular tweaks, like refining word choice, humor, and storytelling techniques.
That being said, AI can get very good at imitating your brand voice with proper training. Like a new employee, it takes lots of input and feedback.
If you plan to have AI generate copy or content, stay involved in the process.
- If you don’t want to invest in training AI, plan to make brand voice edits after the copy has been generated.
- If you’re planning to have AI replicate your brand voice, prepare existing content and documentation for it to analyze.
The time you spend keeping brand voice consistent pays off. An inconsistent brand voice makes it harder for leads to recognize and trust the brand, which sabotages marketing efforts.
Conduct Human-Led AI Quality Control
“Let’s face it, more than half of marketers (53%) are still making significant copy edits when using AI to create content.” – Alana Chinn, Hubspot Sr. Marketing Editor (Hubspot, 2024)
Purely automated marketing is the dream, but we aren’t there yet.
Marketing – whether it’s by humans or AI – requires quality control.
AI doesn’t catch everything. Some specific areas still need a human touch with quality checks:
- Check for plagiarism. Inadvertently copying someone else hurts SEO and is a legal liability.
- Cross-check facts, data, and testimonials. This helps you avoid AI hallucinations (fabricated information).
- Test links. If you used AI to provide linked sources, ensure they go to the right place and are not placeholders.
- Make sure the information you give AI is accurate. AI can’t fact-check your original data, quotes, or metrics – you need to verify them yourself.
- Double-check the SEO. AI may say content has been “optimized for SEO,” but then stuff keywords without focusing on user intent or persuasion.
- Don’t feed sensitive information into AI. Unless the software has strict safeguards, avoid sharing anything with AI that you wouldn’t want included in its training data.
- Stay compliant & legal. Verify claims, disclaimers, and industry-specific compliance (e.g., FTC, GDPR).
AI copy still needs human review, but it still saves time compared to writing from scratch.
Iterate And Optimize Based On Performance
“Most of the world will make decisions by either guessing or using their gut. They will be either lucky or wrong.” — Suhail Doshi, CEO of Mixpanel (New Yorker, 2015).
Marketing is about figuring out the recipe that works, then doubling down. To do that, you need to gather data, analyze it, and apply the insights to your next campaign.
Perfect copy isn’t the goal – whether written by humans or AI. But you should aim for what’s likely to succeed, not just accept whatever AI generates.
Plus, there are factors affecting it that are very hard to predict, even with the power of AI and lots of internal data. Take the 2020 pandemic, which affected every business yet no business could have predicted.
Test copy and content’s performance. If AI writes ad copy, email subject lines, or CTAs, A/B test them to see what works best. If it was used for social media content or blogs, track what had better engagement. See where people are dropping off in a funnel, and assess the copy at that step.
Pull action steps from the analytics. AI can analyze data by processing spreadsheets from your software or tracking files – just attach one to a prompt and ask for insights.
The insights it pulls both refine your marketing strategy and improve how you use AI. You’ll enjoy improvements in both as you iterate and optimize.
Ethical Concerns And Transparency
“We should be afraid. Not of intelligent machines. But of machines making decisions that they do not have the intelligence to make. I am far more afraid of machine stupidity than of machine intelligence.” Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans (2019)
People are wary of AI in marketing, and it’s growing (Business Insider, 2024).
While businesses tend to see their AI use (i.e. customer service chatbots, generated images and text) as efficient and innovative, it often triggers suspicion in the customer.
If customers think a company values cost-cutting over hiring experts, it reinforces their fear of job loss and doubts about service quality.
No company wants those associations.
Here are some ways to ethically use AI marketing tools:
- Be transparent about AI use. If content, images, or chat interactions are AI-generated, clarify this to build trust. Invite customers behind-the-scenes and talk about how you use it and why. Show (honestly) how it’s improving the user experience.
- Fact-check AI-generated content. Verify the accuracy of data, quotes, and claims. Don’t tolerate hallucinated “studies” or “customer experiences.” Don’t pirate someone else’s intellectual property, even accidentally.
- Cite appropriately and don’t plagiarize. Run a plagiarism check, and be sure to cite sources correctly when you include them.
- Respect privacy and data ethics. Use AI tools that comply with regulations like GDPR and don’t collect data unnecessarily.
- Don’t use AI when it doesn’t improve quality. AI should support the user journey and outcomes. Customer trust matters more than quick efficiency that compromises their experience.
- Test customer reactions. Gauge how your audience responds to AI-generated content and adjust based on feedback.
- Never use AI to spam or manipulate an algorithm. Push for human experience, not quantity. It’s also against most search engine guidelines, and can hurt your rankings.
- Take charge in your business’ decision making. AI can analyze, pull insights, and offer suggestions, but you should make the judgement calls on business direction to take.
If AI has improved user experience, highlight it in your copy.
For example, Comcast uses AI to help customer service agents. Sounds basic – but it becomes compelling when you learn that customers get human support first, not a frustrating chatbot barrier.
The AI lets customer agents handle complaints in real time while using an “Ask Me Anything” tool on their end for on-demand support. It leads to 10% faster response times and positive agent feedback (Arxiv, 2024). Customers get to talk to a real person AND get the support of AI.
If AI improves the user’s experience or results, they’ll be just as excited to use it.
Add Value, Not More Noise
“The most profound marketing trend we face in the foreseeable future is the overwhelming amount of content density out there now.” — Mark Schaefer, Executive Director at Schaefer Marketing Solutions (Jellyreach, 2021)
Since AI became more mainstream, companies have dramatically increased their content output – to the dismay of consumers. Optimove’s survey found that 66% of consumers desire less marketing content, and 27% feeling overwhelmed by the volume of marketing messages (Optimove, 2023).
Customers are tired of generic AI-generated content.
Adding value over noise has always been a challenge, even before AI. Fortunately, improving content is intuitive.
- Know what your customer likes and dislikes. Don’t market to them in ways or with channels they don’t resonate with.
- Give them ultra-relevant, actionable information. Solve your customers’ specific problems – don’t just create another guide to try to prove your authority.
- See what’s resonating, and do more of that. Your audience’s behavior evolves – honor that.
- Engage with them. Respond to comments. Thank them for purchasing from you. Ask how you can help, and build resources to answer them.
- Don’t constantly pitch them. Customers know everyone has something to sell them. Build a relationship first. Provide free value, and when they need the paid version, they’ll trust it’s worth it.
- Be honest. Be candid about where and how you use AI. Build trust by showing them behind the scenes.
People still want to buy things. They just don’t want to feel overwhelmed or let down. Marketing advancements change, but investing in real human connections has always been relevant.
What’s The Best AI Tool For Copywriting?
The best AI tool for copywriting is the one that amplifies what’s already working.
Using AI to scale what it’s proven to help with keeps it from being a failed quick fix for broken strategies.
There’s lots to choose from, and no “right” AI tool for your business – knowing your workflow and where you need support helps you choose great-fitting AI.
If you integrate AI copywriting tools into your workflows, use best practices – using AI with integrity will set you apart from a sea of competitors using AI carelessly.
- Experiment with the tools discussed, track your results, and continue refining your approach.
- Ask peers with similar copywriting tasks about what tools they’ve had success with.
- Try free trials, and be honest about what works about that AI copywriting tool and what doesn’t.
Lean into sharpening your own marketing and copywriting skills tool, and you’ll be able to get the most out of AI copywriting tools so you can quality control them and make them go faster.
One of the best AI marketing hacks? Improve your own marketing and copywriting skills to get the best results from AI. You’ll have the expertise to both direct and quality control AI.
You are the future of AI copywriting. Not ChatGPT.
Build your expertise. Delegate speed.
We wish you success in finding the tools you need for your business!
Who Can Help Me Pick AI Tools And Systems For My Copywriting Workflow?
I use and build AI tools myself, and I help you use them to improve your writing and marketing. Let’s talk – book a consult here.