Jun 6, 2025

ChatGPT vs Jasper vs Copy.ai — Which AI Writer Wins in 2025?

AATB Editorial Team
ChatGPT vs Jasper vs Copy.ai — Which AI Writer Wins in 2025?

AI-powered writing assistants have come a long way, and in 2025, they’re an essential part of any marketer, writer, or business owner’s toolkit. With so many options out there, it can be hard to decide which AI writer is the best fit for your needs. Today, we’re comparing ChatGPT, Jasper, and Copy.ai — three of the top AI writing tools — to see which one reigns supreme in 2025.

Let’s dive in and explore what each tool offers, who it’s best for, and where they truly shine.

ChatGPT vs Jasper vs Copy.ai

1) ChatGPT — The All-Rounder

ChatGPT, developed by OpenAI, is arguably the most well-known AI writing assistant today. Powered by the latest versions of GPT (including GPT-4 in 2025), ChatGPT offers a versatile and incredibly natural conversational interface. It's designed to handle everything from casual conversations to technical writing, and its writing capabilities continue to evolve rapidly. Whether you're creating blog posts, drafting emails, generating ideas, or coding, ChatGPT can do it all.

Strengths:

  • Versatility: ChatGPT can generate content across various topics, tones, and formats. It’s perfect for creative writing, business writing, technical writing, and more.

  • Context Awareness: Thanks to its advanced language model, ChatGPT is great at maintaining context throughout conversations, ensuring consistency in longer pieces of content.

  • Real-Time Interaction: Its conversational nature allows for a back-and-forth interaction, which helps refine and fine-tune responses as you go.

Best For:

  • Writers, marketers, and businesses are looking for an all-in-one solution that handles everything from content creation to brainstorming and coding.

  • Those who value interactive, back-and-forth editing to improve content on the fly.

Why it works: ChatGPT stands out as an all-rounder, adaptable to a wide range of use cases, from casual writing tasks to highly detailed, niche content creation.

2) Jasper — The Marketing Pro

Jasper, formerly known as Jarvis, is an AI writing tool designed specifically with marketers in mind. While it can handle various types of writing, it truly shines in crafting high-conversion copy for digital marketing purposes. Jasper is built to help users generate blog posts, social media content, ad copy, and more, all with a focus on increasing engagement and conversions.

Strengths:

  • Tailored for Marketing: Jasper excels at writing ad copy, product descriptions, landing pages, and email marketing campaigns. It’s designed to produce persuasive content that drives action.

  • Templates and Workflows: Jasper provides templates for different marketing copy needs, including blog posts, SEO-optimized content, and even sales emails.

  • SEO Integration: Jasper integrates with Surfer SEO to create optimized content that helps your website rank better in search results.

  • Content Generation Speed: Jasper is incredibly fast at producing content, especially for short-form writing, making it perfect for time-sensitive campaigns.

Best For:

  • Marketers, content creators, and entrepreneurs who need to create high-conversion content quickly and efficiently.

  • Businesses that want tailored content that is optimized for SEO and designed to drive engagement.

Why it works: Jasper is tailored for businesses and marketers, helping them produce conversion-focused content with ease, making it a strong contender for marketing teams.

3) Copy.ai — The Fast, User-Friendly Option

Copy.ai focuses on making AI-powered writing fast, simple, and user-friendly. It’s designed to help businesses create high-quality marketing copy in seconds, offering templates for various content types like blog posts, social media captions, email templates, and more. Copy.ai is known for its intuitive user interface, making it easy for even beginners to get started without a steep learning curve.

Strengths:

  • Ease of Use: Copy.ai’s user interface is incredibly simple, and it’s great for people who want to create content quickly without a steep learning curve.

  • Variety of Templates: It offers a wide range of templates, from email subject lines to product descriptions, making it a go-to for those in need of quick marketing content.

  • Speed: Like Jasper, Copy.ai is known for generating content quickly, allowing users to churn out multiple drafts in minutes.

  • Team Collaboration: Copy.ai offers tools for teams to collaborate, helping streamline the content creation process across departments.

Best For:

  • Small businesses, solopreneurs, or marketers looking for a quick, easy way to generate copy across multiple platforms.

  • Those who need fast turnaround for social media posts, email copy, and short-form marketing content.

Why it works: If you’re looking for a no-fuss AI tool that allows you to produce high-quality copy quickly and easily, Copy.ai is a solid option.

The Verdict — Which One Wins in 2025?

ChatGPT takes the crown if you're looking for versatility. Its ability to handle a broad range of writing tasks—from casual conversations to detailed technical content—makes it an all-around solution. Plus, its conversational interface is unmatched, making it a great tool for both content generation and refinement.

Jasper, however, is a marketer’s best friend. If you're in the business of creating high-conversion copy for ads, blog posts, or email campaigns, Jasper excels. Its templates, workflows, and integration with SEO tools like Surfer SEO make it incredibly powerful for businesses looking to drive growth through content marketing.

Copy.ai shines if you're looking for speed and simplicity. It's ideal for those who want to create marketing copy fast, without the bells and whistles. Its user-friendly interface and team collaboration features make it a great choice for smaller businesses and content teams who need quick and effective content generation.

So, who wins?

If you’re looking for a comprehensive, versatile writing tool that can handle anything, ChatGPT is the clear winner. But if you're focused specifically on marketing and high-conversion content, Jasper is hard to beat. For speed and ease of use, especially for small businesses, Copy.ai is a fantastic choice.

Which AI writing tool do you think is the best fit for your needs? Let us know in the comments!

AI Tools and Automation
Content Creation and Marketing
Writing Tools
AI Writers and Copywriting
Tech and Innovation
A

ATB Editorial Team

Engineers, Product Managers, Designers

The editorial voice of ATB — testing, reviewing, and curating the best AI Tools

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Best AI Tools for Product Managers: From Ideation to Launch
Best AI Tools for Product Managers: From Ideation to Launch
Product managers have always lived at the intersection of strategy, data, and execution. The challenge is constant context switching — analyzing feedback, writing PRDs, tracking metrics, running sprints, and aligning teams.
AI tools are quietly transforming that workflow. From user research to roadmap planning and competitor analysis, they’re helping PMs save time and make sharper decisions.
At ATB, we’ve reviewed dozens of AI products designed specifically for PMs. Below is a curated list of the best tools every product manager should explore — grouped by what they actually help you do.

1. Notion AI — Your thinking and writing assistant Website: notion.so
Notion AI helps PMs write faster, summarize meetings, and organize knowledge in one place. Integrated directly into Notion pages, it’s ideal for drafting specs, summarizing documents, or structuring project notes.
Key strengths:
Auto-summarize meeting notes and user interviews
Turn ideas into structured PRDs
Rewrite or simplify technical content for different audiences
Integrated into your existing Notion workspace
Best for: PMs who want an all-in-one workspace with AI-powered writing and organization.

2. Productboard — AI-driven prioritization and feedback synthesis Website: productboard.com
Productboard’s AI features analyze user feedback across multiple channels to detect themes, identify feature requests, and help with prioritization.
Key strengths:
Automatically clusters qualitative feedback
Scores opportunities based on user impact
Links customer insights to roadmap items
Provides summarized insight reports
Best for: PMs managing large volumes of customer input or complex multi-product portfolios.

3. Linear Insights — Smarter sprint and issue management Website: linear.app
Linear has recently added AI features that help summarize issue threads, suggest sprint goals, and auto-generate changelog updates.
Key strengths:
AI summaries for bug reports and discussions
Auto-generated release notes
Fast, keyboard-first UX for power users
Integrations with GitHub, Slack, and Figma
Best for: PMs and engineering leads managing fast product cycles.

4. Dovetail — AI-powered user research analysis Website: dovetailapp.com
Dovetail uses AI to transcribe interviews, extract insights, and detect recurring themes across user feedback.
Key strengths:
AI tagging and sentiment analysis for research data
Automated highlight reels and summaries
Search across projects and themes
Works seamlessly with Figma and Notion
Best for: Research-driven PMs who need to translate qualitative insights into actionable decisions.

5. ClickUp Brain — AI built into your task management Website: clickup.com
ClickUp Brain acts as a built-in assistant for project management. It generates meeting summaries, converts chat messages into tasks, and answers questions about project context.
Key strengths:
Auto-creates tasks from chat discussions
Generates stand-up summaries and status reports
Explains complex project updates in plain language
Connects with docs, goals, and dashboards

Best for: PMs leading cross-functional teams who rely on ClickUp for planning.

6. Aha! Ideas — AI for roadmap and idea scoring Website: aha.io
Aha! has built AI capabilities directly into its idea management and roadmapping platform. It helps you analyze user ideas, generate feature briefs, and simulate roadmap outcomes.
Key strengths:
AI-assisted idea categorization
Auto-drafts feature descriptions and value statements
Predicts potential user impact based on historical data

Best for: Strategic PMs balancing multiple inputs to define high-impact roadmaps.

7. Miro Assist — Accelerated brainstorming and alignment Website: miro.com
Miro’s AI helps teams brainstorm faster by suggesting clusters, summarizing sticky notes, and transforming messy whiteboards into structured ideas.
Key strengths:
Grouping ideas and summarizing discussions
Auto-generate mind maps and flow diagrams
Suggest next steps after workshops
Great for hybrid or remote workshops
Best for: PMs running strategy sessions or cross-team brainstorming.

8. Athenic AI — Automated analytics and dashboards Website: athenic.io
Athenic AI connects directly to your data sources and lets PMs ask natural-language questions to analyze metrics without writing SQL.
Key strengths:
Connects to databases, CRMs, and analytics tools
Generates visual charts and summaries instantly
Helps identify anomalies or trends automatically

Best for: PMs who want self-serve analytics without depending on data teams.

9. Userflow — AI onboarding and UX improvement Website: userflow.com
Userflow now integrates AI-driven onboarding suggestions and copywriting for in-app flows. It identifies drop-off points and recommends improvements.
Key strengths:
AI assistant for onboarding copy and UX flow optimization
Segment-based customization for user journeys
Real-time testing and iteration

Best for: PMs focused on activation, onboarding, and retention.

10. ChatGPT & Custom GPTs — Your personal product co-pilot Website: chat.openai.com
ChatGPT remains one of the most versatile tools for PMs. With Custom GPTs, you can build your own AI assistant that understands your roadmap, PRDs, and team vocabulary.
Key strengths:
Generate PRDs, user stories, or competitive summaries instantly
Summarize long Slack threads or meeting transcripts
Brainstorm new features, naming ideas, or positioning statements
Build a custom GPT trained on your company docs
Best for: PMs who want a personal, context-aware AI assistant across daily workflows.

How to Build an AI-First Product Management Stack Modern product management isn’t about using one AI tool — it’s about connecting the right ones. Here’s how top PMs are creating their own AI workflows:
Capture insights: Use Dovetail and Productboard to synthesize feedback.
Plan and prioritize: Rely on Aha! or Linear to define and scope roadmap items.
Design and align: Use Miro or Notion AI for workshops and documentation.
Execute: Track and automate updates in ClickUp or Linear.
Analyze: Use Athenic AI or ChatGPT for metric reviews and post-mortems.
The goal isn’t just automation — it’s amplification. AI gives PMs more time for strategic thinking, better context for decisions, and deeper visibility across the product lifecycle.

Final Thoughts The role of a product manager has always been about focus and judgment. AI doesn’t replace those skills — it enhances them.
The PMs who win in this new era will be those who learn to integrate AI into their daily rhythm: idea generation, synthesis, prioritization, and storytelling.
These tools won’t just make your workflow faster — they’ll make your insights sharper, your decisions smarter, and your products more user-centered.
To explore more curated AI tools for PMs, visit AI ToolBook — your gateway to discovering the best tools for the next generation of product leaders.

Jan 10, 2026ATB Editorial Team
Best AI Tools for YouTubers: Create, Edit, and Grow Smarter
Best AI Tools for YouTubers: Create, Edit, and Grow Smarter
YouTube has quietly become one of the most competitive ecosystems for creators. Consistency, quality, and optimization decide who gets discovered and who gets buried.
The good news? Artificial intelligence is leveling the playing field. From ideation and scripting to editing, thumbnails, SEO, and analytics — AI tools are now helping creators do in hours what used to take days.
At ATB, we’ve reviewed hundreds of tools in this space. Below is a curated list of the best AI tools every YouTuber should know , along with their unique strengths and use cases.
1. VidIQ — Smarter SEO and channel optimization Website: vidiq.com
VidIQ remains the gold standard for understanding what drives YouTube visibility. It analyzes keywords, competitor performance, and engagement metrics to help you decide what to post next.
Key strengths:
Real-time keyword and tag recommendations
AI title and description generator
Trend alerts based on audience interests
Channel performance tracking across competitors

Best for: Creators who want data-driven growth and smarter content planning.

2. OpusClip — Turn long videos into viral shorts Website: opus.pro
OpusClip automatically identifies the most engaging moments in a long video and turns them into short, shareable clips optimized for TikTok, Instagram Reels, and YouTube Shorts.
Key strengths:
Auto-captioning and dynamic subtitles
AI highlights detector and scene summarizer
Viral score prediction for each clip

Best for: Podcasters, streamers, and educators who want to repurpose long content quickly.

3. Descript — Edit video by editing text Website: descript.com
Descript reinvented editing by letting you modify videos the same way you edit a document. Delete filler words, fix mistakes, and add new narration with your cloned voice.
Key strengths:
Text-based video editing and overdub voice cloning
Multitrack audio + video editor
Screen recording and collaborative workflows
Best for: Creators who want fast editing without juggling complex timelines.

4. Pictory — Script-to-video automation Website: pictory.ai
Pictory converts written content — blogs, scripts, or notes — into ready-to-publish videos with stock footage, background music, and subtitles.
Key strengths:
AI script analysis and scene breakdown
Automatic captioning and branded templates
Vast stock video and audio library
Best for: YouTubers who post educational or narrated content regularly.

5. ElevenLabs — Realistic voiceovers in minutes Website: elevenlabs.io
If you prefer not to record your own voice every time, ElevenLabs offers highly natural AI voices with multilingual support and emotional range.
Key strengths:
Ultra-realistic voice cloning
Tone and emotion control
Multi-language narration
Best for: Faceless YouTube channels, tutorials, and multilingual creators.

6. Synthesia — Avatar-based video creation Website: synthesia.io
Synthesia enables you to generate professional videos using virtual avatars that lip-sync your script in over 120 languages.
Key strengths:
150+ avatars with full body motion
Instant text-to-video conversion
Custom avatar branding
Best for: Tutorials, explainer videos, or creators scaling multilingual channels.

7. Runway — AI editing and cinematic effects Website: runwayml.com
Runway brings pro-grade AI editing tools like background removal, motion tracking, and text-to-video generation — all inside a browser.
Key strengths:
Magic Eraser for removing objects
Text-to-video generation and scene retouching
Integration with Premiere Pro and Final Cut
Best for: YouTubers who want cinematic quality without studio software.

8. Thumbnail AI — Design thumbnails that convert Website: thumbnail.ai
Thumbnails can make or break a video. Thumbnail AI uses predictive analytics and A/B testing to design thumbnails that get more clicks.
Key strengths:
AI thumbnail grader and CTR prediction
Instant design templates with title overlay suggestions
Color and layout optimization for each niche
Best for: Creators looking to improve CTR and brand consistency.

9. Lumen5 — Turn text and blog posts into video scripts Website: lumen5.com
Lumen5 automatically converts long articles or blog posts into short, visually appealing videos — a great way to repurpose content for YouTube.
Key strengths:
AI storyboarding and scene layout
Brand customization
Large stock footage and soundtrack collection
Best for: Thought leaders and marketers who want to convert ideas into short videos.

10. TubeBuddy — Channel analytics and A/B testing Website: tubebuddy.com
TubeBuddy has long been a favorite among serious YouTubers for optimizing content, testing thumbnails, and managing large video libraries.
Key strengths:
A/B thumbnail and title testing
Tag and SEO suggestions
Bulk updates for playlists and metadata

Best for: Mid-to-large channels looking to optimize performance and save time.

How to Build an AI-First YouTube Workflow AI tools work best when they fit into a repeatable workflow. Here’s a simple structure successful creators use:
Ideate: Use ChatGPT or VidIQ to find topics.
Script: Draft with Notion AI or Pictory.
Record or Generate: Use Synthesia or ElevenLabs for video narration.
Edit: Finalize with Descript or Runway.
Repurpose: Create Shorts with OpusClip or Lumen5.
Optimize: Track analytics with TubeBuddy or VidIQ.
Design: Finalize thumbnails with Thumbnail AI or Canva.
Once you standardize this loop, you can publish faster, maintain quality, and grow consistently — all while reducing workload.

Final Thoughts YouTube success is no longer limited by production resources. What matters now is creativity, consistency, and smart automation.
The right AI stack turns a solo creator into a full-scale production team. Whether you’re editing your first vlog or scaling a monetized channel, these tools will help you focus on what truly matters — ideas, storytelling, and connection.
If you want to explore more AI tools tailored for creators, visit AI ToolBook — your gateway to discovering the smartest tools in the creator economy.
Dec 20, 2025ATB Editorial Team
Custom GPTs Are the New Chrome Extensions. Here’s How to Build One That Actually Works
Custom GPTs Are the New Chrome Extensions. Here’s How to Build One That Actually Works
A quiet revolution is happening inside ChatGPT and it looks a lot like the Chrome Web Store circa 2010. Custom GPTs are emerging as the new extension layer for AI. They’re lightweight, modular, and purpose-built. Anyone can build one, publish it to the GPT Store, and start reaching users directly inside the ChatGPT ecosystem.
The idea feels familiar: Chrome extensions turned a browser into a platform; Custom GPTs are doing the same for conversational AI. But unlike browser extensions that added UI features, these GPTs extend intelligence — context, data, and task automation — inside a chat interface.
So, what does this new ecosystem look like, and how do you build one that actually works?
The rise of the Custom GPT ecosystem When OpenAI launched the GPT Store, it turned ChatGPT from a single product into an ecosystem. Within months, thousands of Custom GPTs appeared — covering productivity, marketing, coding, design, research, travel, and niche verticals.
You can now find specialized GPTs for nearly every use case:
ScholarAI for academic research and citation-ready answers.
Canva GPT that connects directly to design workflows.
KAYAK and Expedia GPTs for travel planning inside chat.
Diagrams: Show Me for instant visualizations.
AI PDF Reader and AskYourDocs for document analysis.
Consensus GPT for summarizing scientific papers.
The key shift here is accessibility. You don’t need to code an app, build a front-end, or host servers. A well-configured Custom GPT, powered by GPT-4 or GPT-5, can act as a standalone product. That’s why creators and startups are now treating GPTs as their first MVPs — fast to launch, cheap to iterate, and instantly discoverable inside a store with millions of active users.
Why do they mirror Chrome extensions Think about what made Chrome extensions so powerful: small, single-purpose utilities that solved narrow problems. Custom GPTs operate on the same logic.
Each GPT sits on top of ChatGPT’s base model but maintains its own  knowledge ,  instructions , and  API actions, making it a personalized expert. Where a Chrome extension added a button to your browser, a Custom GPT adds a new “brain” to your workspace.
As with the Chrome Web Store, discoverability will soon shape success. Expect leaderboards, ratings, reviews, and monetization features. Users will install GPTs for the same reasons they once installed extensions: to automate workflows, save time, or personalize their experience.
What makes a good Custom GPT actually work Most Custom GPTs today fail for the same reason early extensions did: they don’t solve a meaningful problem. A good GPT feels like a specialist , not a demo. The best ones have:
A sharp use case: A focused purpose always beats a broad one. “Create ad copy for SaaS founders” performs better than “Write marketing content.” The clearer the use-case, the more useful the GPT.
Structured knowledge: Uploading PDFs or documents isn’t enough. The best GPTs provide structured context — FAQs, frameworks, terminology, or data schemas — so the model can respond consistently.
Tool integrations: Actions transform a GPT from static to interactive. By connecting APIs (e.g., Google Sheets, Notion, Shopify, or Zapier), your GPT can pull live data, generate output, or trigger workflows.
Clear personality & tone: Instructions define its communication style. Some GPTs sound like consultants, others like teachers or creative partners. Consistent tone creates trust and differentiation.
Strong onboarding: The first interaction should show value in under 60 seconds. Top GPTs include an example prompt, a welcome message, and a quick demo output to orient users.
Tools that simplify building Custom GPTs You don’t need to be an engineer to build one. OpenAI’s GPT Builder handles configuration and testing directly inside ChatGPT. But if you want to go further — connect data, APIs, or automate workflows — these tools can help:
Zapier AI Actions – Connects GPTs to 6,000+ apps, so users can take real actions (send an email, update a spreadsheet, post on Slack).
Bubble or Softr – Wrap your GPT in a simple web front-end if you want a branded experience.
Airtable / Notion Databases – Store structured data or prompts the GPT can query.
AI ToolBook – (yes, our favorite) to discover trending GPTs and analyze positioning before launching your own.
Typedream + GPT API – Build lightweight landing pages that integrate directly with your Custom GPT link.
Use-cases and examples gaining traction Some categories are exploding in the GPT Store:
Marketing & copywriting – GPTs like “AdWizard” and “ContentGen Pro” offer quick, brand-consistent outputs for startups and agencies.
Education – “TutorGPT” and “Math Mentor” are becoming classroom staples.
Real estate, law, and healthcare – GPTs trained on domain-specific materials provide compliant, context-aware responses.
Personal productivity – “Meeting Note Taker,” “Goal Planner,” and “Email Rewriter” simplify repetitive tasks.
Data & research – Tools like “Data Analyst GPT” or “TrendLens” analyze datasets, summarize reports, and visualize insights.
As more users start relying on GPTs for work, expect to see team-level subscriptions, enterprise admin controls, and collaboration features — similar to how Chrome extensions evolved for business users.
Designing for longevity and discoverability Building a GPT that works isn’t the same as building one that lasts. Here’s what separates durable GPTs from disposable ones:
Niche focus : Find a small but high-value audience. “AI Resume Coach” may not go viral, but professionals will use it daily.
Consistent updates : Refresh instructions, examples, and sources monthly.
Analytics mindset : Track user interactions and refine responses based on feedback.
Ethics and reliability : Be transparent about data use and knowledge sources — users trust clarity.
Branding and visibility : Add a distinct name, icon, and tone. In a crowded store, recognizable branding wins.
The next frontier: monetization OpenAI is gradually opening monetization pathways — from featured placements to revenue sharing. Expect GPT builders to earn through:
Pay-per-use APIs connected to GPTs.
Freemium GPTs with premium versions or unlockable data.
Brand-sponsored GPTs (like Canva GPT or Kayak GPT).
In-store purchase options once the payment layer matures.
If the Chrome analogy holds true, we’re only at the early-adopter phase. Once monetization arrives, the GPT Store could become as valuable to AI builders as the App Store was for mobile.
The takeaway for builders and product teams If you build software, market products, or experiment with AI, treat Custom GPTs as a low-cost sandbox to test ideas. You can validate a niche, gather real usage data, and evolve toward a standalone product — all without spinning up a full backend or frontend.
Start with one workflow. Add data. Add actions. Test with users. Iterate fast. A well-built GPT can evolve from a simple prototype into a full-scale AI product.
Custom GPTs aren’t just side experiments anymore. They’re the new extension layer for human-AI interaction — quick to build, easy to distribute, and capable of unlocking entirely new verticals.
The earlier you learn how to design one that actually delivers value, the stronger your advantage when the GPT economy fully takes off.
Dec 10, 2025ATB Editorial Team

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