People want quick responses, quick interactions, and seamless customer service without having to wait hours for a response in today’s digital world. Chatbots and conversational marketing platforms are filling that gap.

Companies are recognizing that consumers want to interact, ask questions, and feel heard in addition to simply purchasing a product. And to be honest, it makes sense in a time when everything occurs instantly.

Chatbots, powered by AI, are no longer those robotic, scripted answering machines from a decade ago. They’re becoming smarter, more human-like, and capable of holding full conversations. This has changed the way companies interact with people online, and it’s also had a direct impact on sales and brand loyalty.

In this blog, we’ll dive deep into how conversational marketing and chatbot automation are creating better experiences for customers, why businesses are adopting them fast, and what this trend means for the future of marketing.

What is The Conversational Marketing?

Engaging customers in a two-way conversation rather than a one-way barrage of advertisements and promotions is the essence of conversational marketing. In the past, businesses threw popups, sales pitches, and emails at users in the hopes that they would convert. That model is reversed by conversational marketing. Rather, it poses queries, hears the user’s desires, and then directs them to the best answer.

• For instance, you might go to a website that sells clothes. Rather than searching for what you’re looking for, a chatbot appears and asks: “Looking for something casual today or formal wear?”
• “Do you prefer discounts?”
• “Should I recommend based on your size?”

Within minutes, your browsing feels smoother, personalized, and actually enjoyable. That’s conversational marketing in action it reduces friction.

AI Chatbots: The Power Behind Engagement

You may be asking yourself, aren’t chatbots just those pre-programmed pop-ups that provide standard frequently asked questions? No longer. Instead of relying solely on keywords, Natural language processing and machine learning are used by contemporary AI chatbots to comprehend intent. This essentially indicates that they understand the context of your question rather than merely looking for a particular word.

Instead of just displaying all the winter collections, a chatbot will recognize that you’re asking for warm but packable clothing if you type in, “Hey, I need something for a winter trip, but it should be lightweight too.”Contextual knowledge like that fosters trust and gives clients a sense of understanding. Additionally, the likelihood that you will make a purchase increases when you feel that a brand “gets you.”

Why Chatbots Are Trending Right Now?

Chatbots and conversational marketing are trending for a few clear reasons:

• Instant responses: Nobody likes waiting 24 hours for an email reply. Chatbots reply in seconds.
• 24/7 support: Businesses can provide help anytime, anywhere.
• Personalization at scale: AI chatbots can handle 1000s of conversations at the same time,while tailoring suggestions individually.
• Lower costs: Why hire 50 support agents when a smart bot can handle most queries?
• Data-driven insights: Chatbot automation collects customer preferences and behaviors that help businesses refine strategies.

It’s also worth noting that patience among customers is thinner than ever. A small delay can push someone to a competitor.That’s why speed and personalization had turned chatbots into essential digital marketing tools.

The Transformation in Customer Engagement

Experience now matters more to customers than just the product. Instead of simply purchasing a product and walking away, consumers want to feel a connection to the brand. Traditional marketing techniques are unable to convey the sense of personalization that conversational marketing does.

Let’s face it, lengthy wait times and monotonous chats were common complaints in traditional call centers. Contrast that with a chatbot that can instantly retrieve your order history, understands your preferences, and even casually upsell or cross-sell. A virtual legal assistant can work the same way, offering quick guidance, answering questions, and creating a smoother client experience. For instance, the chatbot may now recommend socks or fitness trackers if you purchased running shoes last month.

It may ask if you want bundle discounts if you have been looking at skincare products. This proactive yet approachable interaction is inherently perceived by customers as more akin to helpful advice than a “hard sell.” 

Comparing Conversational and Conventional Marketing.

To illustrate the distinctions between conversational marketing, the following brief comparison is provided:

Aspect Traditional Marketing Talkative Marketing: Interacting with Clients One-way (ads, emails, and calls) Two-way, real-time conversations; When there are delays in response availability,without delay and at all times Minimal customization, often generic, dynamic, tailored advice.The customer’s experience could seem unnecessary or invasive. It looks worthwhile and intriguing.

Effect on Sales: Extended Cycle of Purchase shorter travel times and higher revenue.

Chatbot Automation in Businesses

Different industries are jumping on chatbot automation, because it fits almost everywhere. Because chatbot automation is so universal, various industries are embracing it. An AI sales training platform can enhance these capabilities by ensuring chatbots deliver more persuasive and effective conversations.

• E-commerce: Assisting customers with product searches, order verification, and coupon application.
• Banking and Finance: Assisting with transactions, fraud alerts, and balance inquiries.
• Healthcare: Providing basic information, scheduling appointments, and reminding people.
• Travel: Making recommendations for flight options, hotel packages, and itinerary preparation.
• Education: Enrollment assistance, class reminders, and virtual learning assistants. teresting thing here is that chatbots aren’t just “support tools” anymore, they’re becoming “sales teams.” The right chatbot system acts like a knowledgeable salesperson who never sleeps. Integrating ai sales automation ensures every interaction drives engagement and potential revenue.

The Human Touch vs AI Chatbots

Chatbots don’t totally eliminate the human element, despite what some people still believe. A well-designed chatbot assists people, not replaces them. Chatbots typically refer complex or delicate topics to a human agent for resolution.The difference is that most of the basic information has already been acquired by then, allowing the human agent to move forward without any issues.For customer service teams, it is therefore more of an enhancement than a “replacement.”. Humans can now focus on solving complex problems as routine conversations are now handled by bots.

Chatbot Challenges for Businesses Before we get too excited, let’s keep it real chatbots aren’t perfect. Some challenges include:

• Over-automation: If bots are too pushy, customers may feel annoyed.
• Context limitations: AI is smart but it’s not human it can misunderstand tone or complex queries.
• Maintaining the human feel: Striking the right balance between automation and empathy is tricky.
• Privacy concerns: Users want to know their data is safe while interacting with bots.

So businesses need to design chatbot strategies that feel genuine, secure, and helpful not just mechanical.

The Future of Conversational Marketing

It’s reasonable to predict that conversational marketing and chatbot automation will develop further. Advances in voice AI, predictive analytics, and deeper personalization could soon make bots appear almost identical to humans.

Imagine a voice-activated artificial intelligence (AI) shopping assistant that is aware of your past purchases as well as your preferences for certain seasons, styles, sizes, and budgets.It asks what occasion you’re shopping for, calls you by name, and makes product recommendations right away.That isn’t science fiction; it will happen.

Conclusion

These days, chatbots and conversational marketing are more than just trendy terms; they are influencing how customers will interact with businesses in the future.They streamline the purchasing process, offer prompt responses, and customize experiences. More significantly, they establish a connection between the brand and its customers something that traditional marketing finds it difficult to accomplish. Yes, there are challenges like privacy, overdependence, or lack of empathy at times, but as AI technology improves, these will be solved gradually.

At the end of the day, customer engagement today isn’t just about selling it’s about conversations, connections, and convenience. And when you combine all three together, you don’t just get happy customers, you get loyal ones. So if your business hasn’t considered diving into chatbot marketing yet, now’s probably the time. Because the future really does seem to be chatty.

IIn the ever-changing world of digital marketing, one debate is heating up fast: Will AI influencers replace human creators, or will they co-exist?

From fashion campaigns to tech product launches, brands are experimenting with virtual influencers – AI-generated personalities that look, talk, and even behave like real people. While human influencers still lead in trust and authenticity, AI-powered avatars are quietly reshaping how brands think about scalability and cost efficiency.

From fashion campaigns to tech product launches, brands are experimenting with virtual influencers – AI-generated personalities that look, talk, and even behave like real people. While human influencers still lead in trust and authenticity, AI-powered avatars are quietly reshaping how brands think about scalability and cost efficiency.

Let’s break it down.

What Are AI Influencers?

AI influencers are computer-generated characters powered by advanced technologies like generative AI, CGI, and machine learning. Unlike human creators, they don’t age, demand higher pay, or risk scandals.

Some big names are already in the spotlight:

• Lil Miquela (with over 2.6M Instagram followers) is a virtual influencer who collaborates with brands like Prada and Calvin Klein.
• Shudu, considered the world’s first digital supermodel, has worked with fashion houses globally.
• Newer AI avatars are being created at scale using platforms powered by AI video technology (Financial Times).

For brands, these virtual personalities are appealing because they can be controlled, customized, and scaled – something no human influencer can match.

Why Brands Love AI Influencers

1. Cost-Effective Campaigns
   Unlike human influencers who charge per post or campaign, AI influencers are created once and can deliver unlimited content.
   
2. 24/7 Availability
   No time zones, no sick days, no vacations – AI avatars are always ready to post.
   
3. Creative Flexibility
   They can be placed in any setting – whether on Mars or in a luxury Paris café – without the need for production crews.
   
4. Brand Safety
   Human influencers sometimes land in controversies. AI personas, being fully controlled, reduce the risk of brand damage.

The Human Advantage: Trust & Authenticity

Despite the buzz, studies show consumers still trust human creators more. According to surveys, human influencers outperform AI avatars in engagement, relatability, and emotional connection.

Why?
Because authenticity sells. Audiences know humans live real lives, face real struggles, and have genuine experiences to share. A real person unboxing a gadget or reviewing a skincare product carries weight that a CGI character struggles to match.

Even Unilever, which has tested AI in viral marketing campaigns (Wall Street Journal), admits that while AI-generated content can boost scale, the human touch is still key in connecting with consumers.

The Hybrid Future: Collaboration Over Competition

So, is this really a battle between AI and humans?
Not quite.

The future of digital marketing is more likely to be hybrid:

• AI influencers for scalable, creative, and cost-friendly campaigns.
• Human influencers for relatability, storytelling, and authentic engagement.

In fact, some brands are already experimenting with “AI + Human duos” – pairing a human influencer with their AI twin or sidekick to deliver multi-layered campaigns.

Who Will Win?

The short answer: Both.

• AI influencers will dominate cost-sensitive, global-scale campaigns.
• Human influencers will remain essential for trust, community-building, and emotional resonance.

Instead of competing, the smartest brands will leverage the strengths of both worlds to create powerful, future-ready digital marketing strategies.

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Key Takeaway: AI influencers aren’t here to replace humans – they’re here to expand what’s possible in digital marketing. The brands that strike the right balance between AI scalability and human authenticity will win the next phase of the digital marketing game.

AArtificial Intelligence (AI) keeps revolutionizing the software development landscape, benefiting businesses and consumers. The corresponding emerging trends suggest increased integration of this technology into the development lifecycle. In addition to coding, AI substantially improves areas like collaboration, testing, bug fixing, and project management. With the noticeable growth of AI in software development, it is essential to know what opportunities can emerge to allow companies to improve efficiency and how developers will collaborate more effectively. The sections below highlight how AI trends are prevailing in software development and potential innovations.

Potential Innovations of AI in Software Development

A majority, i.e., 92% of organizations, are gearing up to make a significant investment in AI by the year 2025. The reason is that AI innovations are positively shaping software development. Let’s get an idea of potential innovations.

i) Efficient code generation

The cutting-edge AI coding assistants simplify the task of developers and save them time. They provide real-time code suggestions and also facilitate automatic completion of code. Nearly 82% of developers leverage AI coding assistants in either workflow, either daily or weekly.

Specifically, Machine learning (ML) models can accept input describing the code’s purpose and provide relevant recommendations—these are just a few of the AI use cases in software development and developers can work on those recommendations in their workflow and refine as needed.

ii) Intelligent automation

AI technology optimizes the overall SDLC software development lifecycle right from the initial requirement to deployment. For example, tools driven by large language models (LLM) and generative AI can transform user stories into efficient implementable code, prepare test cases, and documentation. All these tasks happen with minimal human input. The automation speeds up the development, reduces the odds of human error, and also enriches the code quality.

iii) Easy code deployment

AI tools that leverage NLP (natural language processing) can now transform descriptions into functional code. For example, if somebody enters input as “create a contact form mentioning fields for name, message, and email id; and show a thank-you popup once the form gets submitted.”

The AI-powered system can swiftly generate accurate code for the same; no exhaustive coding knowledge is required. As a result, this innovation makes software development easily accessible to those who are not skilled at programming. Teams can therefore work more efficiently and build digital products faster.

Trends Transforming Software Development with AI

AI keeps making a remarkable difference in the software development landscape, let’s go through trends to watch.

i) Intelligent debugging and testing

In the absence of AI, traditional debugging methodologies involve manually navigating through code lines. This process is time-consuming and may be erroneous. Conversely, debugging tools deployed with AI in game development are optimizing software development. They can constantly monitor codebases, learn from previous errors, and then automatically detect anomalies as and when detected. This capability suggests that AI tools will increasingly reduce the risk of software deployment failures.

AI-led testing frameworks are more prevalent and offer live feedback throughout the deployment cycle. They can run various user situations and tweak tests autonomously to ensure new code doesn’t mess up the existing workflow.

ii) Integration with DevOps and CI/CD

DevOps practices are bridging the gap between software development, operations, and testing. It is anticipated that AI will keep enhancing this integration by automating diverse stages of the CI/CD (continuous integration/continuous deployment) pipeline.

Specifically, AI can inspect code alterations in real-time, conduct tests, and also automatically deploy code based on criteria. This smooth integration guarantees faster release cycles and makes the overall software delivery more reliable.

iii) Smoother collaboration

AI’s role is noteworthy in remote work culture as it bridges the communication gaps and optimizes project management. Here are ways that outline how AI makes collaboration smoother.

• Before the code is sent to the review team, AI can analyze and suggest improvements required. This retains the code quality and speeds up the review process.
• Project management tools deployed with AI can forecast delays, better assign resources, and also optimize workflows as per past data and live updates. Hence, development workflows stay on track.
• AI can assess distinct code patterns and suggest tailored learning practices. So, it allows continuous improvement among team members. This personalization hones team members’ skills as well.

How does AI Innovation Impact Developers’ Productivity?

Recent research further underscores these shifts. The Dev Barometer Q3 2025 by BairesDev, which surveyed over 1,100 developers across 63 countries, found that professionals are already saving an average of 7.3 hours per week thanks to AI tools. Many are reinvesting this time into upskilling, particularly in AI and machine learning, which they identified as their top learning priorities. This data highlights how AI isn’t just changing software development practices—it’s actively reshaping developer workflows, skillsets, and long-term career growth.

• AI optimizes code generation, debugging, and the testing phases to let developers focus more on solving critical or complex problems. This capability enables faster project launch and improves the code quality tool.
• Automated tools cut back on chances of manual error. They detect bugs early and recommend the best possible solutions.
• These platforms provide real-time feedback and make learning experiences personalized. So, developers can swiftly access required resources and hone their skills.

Final Words

Software developers can now stay ahead in their workflows by embracing these AI trends. Software companies can invest in AI-driven tools to enable continuous learning and make sure their development team embraces the innovations. It is expected that AI will not just make coding faster and efficient but will even revolutionize the core nature of how the software is built. It will foster both creativity and advanced technologies to enhance the software development outcomes.

Introduction

IImagine a brand ambassador who never sleeps, never gets tired, and always delivers the same message with perfect consistency. Sounds handy, right? Meet AI avatars – digital personalities powered by artificial intelligence that are making big waves in marketing. In China, a virtual avatar promoting Brother printers on Taobao livestreams boosted sales by 30% and pulled in $2,500 in just two hours. That’s how powerful and persuasive these digital ambassadors can be.

So, could AI avatars become the new face of brand communication? Let’s break down the facts in simple, friendly terms.

1. What Exactly Are AI Avatars?

• AI avatars are digital characters powered by technologies like machine learning and natural language processing.
• These “living” characters are designed to listen, understand, and respond – just like a human—but on your screen.
• They go beyond static chatbots. A great example: a skincare brand avatar that demonstrates product use, explains ingredients, and answers questions in a friendly way.

2. Why Brands Are Embracing AI Avatars

• Always On & Consistent: They can livestream 24/7 without breaks, fatigue, or bad hair days.
• Cost-Effective: In some cases, brands spend half as much on AI avatars versus real-life influencers.
• Personal & Scalable: These avatars can be programmed to speak different languages, adapt to customer behavior, and deliver personalized messages at scale.
• Multi-Platform Ready: Whether on social media, AR/VR, or websites—avatars can appear anywhere, making them super flexible.

3. Real-Life Examples That Show Their Power

• China’s E‑commerce Boom: AI livestream avatars helped Brother increase sales quickly.
• TikTok’s Symphony Feature: Brands can now generate virtual avatars that model products and create influencer-style videos without contracts or shoots. TikTok even labels them clearly as “AI-generated.”
• Digital Celebrities: Spain’s Aitana López is an AI model earning €10,000‑€11,000 per month, just by being virtual.
• Global Icons: Beloved virtual influencers like Lil Miquela and India’s Kyra have partnerships with big brands like Prada, Calvin Klein, Amazon Prime Video, and more.

4. What Are the Challenges?

• Authenticity Matters: While these avatars are efficient, they can feel too perfect – making audiences more skeptical than inspired. Over half of younger viewers already express discomfort with AI influencers.
• Ethical Concerns: Using AI to mimic real people is a sensitive area. Issues like consent, data privacy, and deepfake-style misuse raise valid red flags.

5. What’s Next? The Future of AI Brand Ambassadors

• Hybrid Models: Brands might blend human and AI ambassadors to maintain authenticity while staying efficient.
• Deeper Personalization: Imagine avatars that speak your language, match your tone, and adapt based on your past interactions.
• More Immersion: With AR and VR becoming mainstream, avatars could host virtual experiences-like guiding customers through product demos or interactive brand stories.
• Scalability & Global Reach: The metabolism of augmented? virtual? mixed reality markets is projected to hit $250 billion by 2028. Brands who master avatars now are setting themselves up for long-term success.

Conclusion

AI avatars are not just a passing trend-they’re powerful tools that bring consistency, cost-savings, and endless scalability to brand marketing. But they still need human touch, emotional authenticity, and ethical transparency to truly connect.

They don’t need to replace humans-but they’re becoming a compelling sidekick to human ambassadors in the future of branding.

AArtificial Intelligence is moving fast – and OpenAI’s latest upgrade, GPT-5, is one of the biggest jumps yet. Released on August 7, 2025, GPT-5 is being described as “a PhD-level expert in your pocket,” but what does that actually mean for the people creating campaigns, writing ads, or planning content calendars?

Let’s break down what’s new, why it matters, and how you can start using GPT-5 in your marketing workflow.

A Quick Recap – What Is GPT-5?

GPT-5 is the latest version of OpenAI’s language model that powers ChatGPT.
Compared to previous versions, it’s designed to:

• Respond faster for simple tasks and think more deeply when needed.
• Make fewer factual mistakes (around 45% fewer than GPT-4o, according to OpenAI).
• Offer personalized conversation styles, from friendly and casual to technical and precise.

It’s also integrated more closely with everyday tools like Gmail and Google Calendar, so it can manage not just text but tasks.

What’s New in GPT-5?

Here are some of the standout upgrades that marketers will care about:

a. Smarter Task Handling

GPT-5 can switch between quick, snappy answers and long, thought-out reasoning. This means it’s better at:

• Drafting ad copy in seconds.
• Planning multi-step marketing campaigns.
• Researching niche topics without you prompting every detail.

b. Reduced Hallucinations

No AI is perfect, but GPT-5 is more reliable with facts. If you’ve ever had to triple-check AI-written data before, this should cut down your editing time.

c. Personality Modes

This is fun and practical. You can choose conversation “moods” like:

• Nerd – for technical, detail-heavy content.
• Listener – for empathetic, customer-focused writing.
• Cynic – for blunt, to-the-point takes.
• Robot – for structured, no-fluff responses.

d. Built-in App Integrations

With Gmail and Calendar connected, GPT-5 can:

• Draft and send outreach emails.
• Schedule marketing tasks.
• Remind you about deadlines in a conversational way.

Why Digital Marketers Should Care

Let’s connect the dots. Here’s how GPT-5 can directly impact your marketing work:

Content Creation That’s Quicker and Cleaner

Blog posts, captions, ad headlines – GPT-5 can produce drafts faster and with fewer factual slip-ups, so you spend more time polishing and less time fixing.

Better Customer Segmentation Ideas

The model’s improved reasoning means it can suggest audience groups, campaign angles, and even messaging styles tailored to different buyer personas.

Automated Outreach

If you connect it to Gmail, GPT-5 can write personalized cold emails, follow-ups, and reminders – all matching your brand tone.

Data-Driven Campaign Planning

GPT-5 can digest campaign performance reports and highlight patterns, helping you decide where to invest your ad spend next.

Limitations to Keep in Mind

It’s not all perfect. Even with GPT-5’s upgrades:

• Some users have noticed basic errors, especially in spelling and geography.
• It can still sound overly confident even when wrong – so fact-checking remains essential.
• Certain advanced features may only be available to paid subscribers.
• Like all AI, it reflects the quality of the prompts you give it – vague input still means vague output.

Practical Tips to Use GPT-5 in Your Marketing Today

If you want to start experimenting, here’s a simple roadmap:

1. Test Different Personality Modes
   Try “Nerd” for technical blog writing and “Listener” for emotional brand storytelling.
   
2. Integrate with Your Tools
   Link it to Gmail for automated outreach or to Calendar for campaign scheduling.
   
3. Use It for Brainstorming
   Ask for 10 ad hook ideas or campaign taglines before you refine them manually.
   
4. Build Reusable Prompts
   Create a library of prompts for tasks you repeat — product descriptions, SEO outlines, social captions, etc.
   
5. Fact-Check and Humanize
   Use GPT-5 as your first draft partner, not your final voice. Always review for accuracy and tone.
   

The Bottom Line

GPT-5 isn’t here to replace marketers – it’s here to speed up the process, spark ideas, and cut down repetitive tasks. Like any tool, it’s only as good as the person using it.

If you stay curious, test its features, and keep your creative judgment in the loop, GPT-5 can be one of the most valuable additions to your digital marketing toolkit in 2025.

Pro tip: Start small – maybe use GPT-5 for brainstorming ad headlines this week — and gradually build it into bigger parts of your workflow. That way, you’ll discover its strengths and quirks without risking major campaigns.

Introduction

IIf you’re into marketing, you’ve probably got a hundred tabs open and a bunch of tools you use daily. It can get overwhelming, right? That’s why Chrome extensions are super useful. They sit right in your browser and make everyday tasks a lot easier – whether it’s checking keywords, creating content, managing your to-dos, or organizing links.
In this blog, I’ve put together a list of 30 Chrome extensions that can really help marketers save time and work more efficiently. These are simple tools, but they can make a big difference once you start using them.

Chrome Extensions

That’s the list! Hopefully, you found a few tools here that you haven’t tried yet. Some of these extensions are great for improving productivity, while others help with content, SEO, or just staying organized. You don’t need to use all 30 – just pick the ones that fit your workflow. And if you’ve got any favorites that aren’t on the list, feel free to share them. It’s always good to find new tools that make work a little smoother.

EEveryone’s using ChatGPT. But almost everyone’s STUCK in beginner mode. 10 techniques to get massively ahead with AI: (cut-and-paste these prompts )

Simulate an expert

Ask ChatGPT to play the part of a customer, co-host, or talented expert.

Have a conversation with it, or ask it to generate content as if it were that specific persona.

/Example prompt/

You are a talented analyst at a top-tier market research firm, a graduate of Harvard Business School. Coach me to create content that connects with C-level executives at B2B SaaS companies. What open-ended questions do I ask? Prioritize uncommon, expert advice.

Challenge the conventional narrative

Ask for examples of what contradicts the dominant narrative.

Generate content that challenges readers’ assumptions.

Seek out provocative angles that defy expectations and break the mold.

/Example prompt/

Topic: Growing your email newsletter

For the above topic, give examples that contradict the dominant narrative. Generate an outline for thought-provoking content that challenges assumptions.

Use unconventional prompts

Try using prompts that are more open-ended or abstract.

This way you’ll get unique and creative responses nobody else is.

By getting weird, you can unlock ChatGPT’s creative potential in finding vivid language and unexpected topics.

/Example prompts/

Write a poem about copywriting.

Describe feeling like an entrepreneur in 10 adjectives.

Ultra-Brainstormer

It’s easy to have ChatGPT generate a list of potential topic ideas for your next project.

But often they’re generic and expected.

Instead, ask it to come up with new angles or approaches to cover a familiar topic.

/Example prompt/

Topic: How to double your creative output.

For the topic above, brainstorm new angles or approaches. Prioritize ideas that are uncommon or novel.

Capture your writing style

Feed ChatGPT your writing.

Ask it to help you create a style guide for future outputs.

It’ll give you the exact words to describe your voice and tone in a way that AIs understand.

/Example prompt/

Analyze the text below for style, voice, and tone. Using NLP, create a prompt to write a new article in the same style, voice, and tone:

(Insert your text here)

Add in human-written techniques

Ask ChatGPT to work according to good advice you’ve read elsewhere.

In the prompt below, I take some tips on persuasive writing from the Grammarly blog and ask it to apply them to my topic.

/Example prompt/

Write a brief post about why copywriting is an essential skill in 2023.

Use these strategies:

• Use strong persuasive language
• Ask questions to transition between paragraphs
• Back up main points with evidence and examples
• Speak directly to the reader

Have ChatGPT write from different perspectives

Ask it to write from the perspective of a group of characters with different backgrounds or viewpoints.

Explore new ideas and perspectives, and add depth to your writing.

/Example prompt/

Topic: Productivity for entrepreneurs

For the above topic, write multiple perspectives from a group with different viewpoints. For each perspective, write in their own voice, using phrases that person would use.

Write in different styles or tones, such as satire or irony

Takeaway: By experimenting with different voices and perspectives, you can use ChatGPT to create more dynamic and varied content.

/Example prompt/

Give the most ironic, satirical advice you can about using ChatGPT to create more effective content.

Use ChatGPT to write in different formats

Ask ChatGPT to vary its output.

• Outline
• Mind map
• Bullet points
• Persuasive essay
• Chunks of text of less than 280 characters
• Using the structure: 1) What, 2) Why, 3) How”

/Example prompt/

Create a mind map on the topic of using Notion to stay organized as a content creator, listing out the central idea, main branches, and sub-branches.

Generate content with a specific purpose or goal in mind

Tell ChatGPT who your audience is and what you want to achieve with your content.

Remember, it has no context about who you are or what you want unless you give it some.

So give it context.”

Get creative with ChatGPT:

• The more you experiment, the more you’ll discover
• Try out new and unconventional ideas
• Seek out new ways to find interesting and unique content angles

Oh, and have a little fun, creating truly unique content in the process.

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