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Perplexity Deep Research Tool Debuts, Challenging OpenAI and Google

Perplexity AI’s new freemium Deep Research product is shaking up AI, offering lightning-fast, expert-level insights across many industries.

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Perplexity Deep Research

TL;DR – What You Need to Know in 30 Seconds

  • Freemium Launch: Perplexity AI debuts “Deep Research” with a free tier, challenging pricey AI tools.
  • Lightning-Fast: Gathers and summarizes data from dozens of sources in minutes, mimicking a human researcher.
  • Strong Performance: Slightly trails OpenAI in some metrics but still outperforms many other AI models.
  • Market Disruption: Major funding fuels a direct challenge to Google and OpenAI, despite ongoing legal issues.
  • User-Driven Refinement: Encourages feedback to continuously improve accuracy, speed, and reliability.

Introducing the Perplexity Deep Research Tool

Well, folks, the AI research arms race just got a bit more interesting—and a lot more affordable. Perplexity AI has officially unveiled its new “Deep Research” tool, and it’s not just an incremental update. This is a full-on assault on giants like OpenAI and Google, all wrapped up in a lovely freemium bow.

Launched on 15 February 2025, Deep Research is designed to cut your time spent trawling the internet down to mere minutes. Whether you’re investigating market trends in finance, refining marketing campaigns, or just planning your dream holiday, Perplexity aims to do the legwork for you—dozens of searches, hundreds of sources, and a neat summary at the end. And best of all, it’s free for casual use, with a paid tier if you really want to ramp up your daily queries.

Key Features and Capabilities

One of the big selling points Perplexity emphasises is its iterative search and reasoning process, which is meant to mirror the thought process of a human researcher. Here’s the gist of what you get:

  1. Expert-Level Analysis
    Tackles finance, marketing, technology, health, product research, travel planning, and more. Essentially, it’s like having a mini think tank at your disposal.
  2. Automated Deep-Dive
    Performs dozens of individual searches, sifts through hundreds of online sources, and draws it all into a comprehensive report. So no more 30-tab chaos in your browser.
  3. Lightning-Fast Turnaround
    Delivers results in 2–4 minutes (under three minutes in most cases). Competitors like OpenAI’s Deep Research take 5–30 minutes for complex queries.
  4. Shareable Outputs
    Once you get your report, you can export it as a PDF or transform it into a Perplexity Page for easy sharing with colleagues or friends.
  5. Citations for Transparency
    Deep Research includes references and citations to its sources, so you can cross-check, trust, or verify any points. Great for academic or professional work where you need that extra layer of credibility.
  6. Iterative Refinement
    The system learns as it goes. It reads a chunk, decides what else it needs to look for, and continues to refine its approach until it’s satisfied it has a well-rounded view.

Pricing and Accessibility

According to Perplexity’s own website, the freemium model is turning heads. Here’s the breakdown:

  • Free Tier:
    Limited to around 5 Deep Research queries per day. Perfect if you just need the occasional deep-dive or want to give it a whirl before upgrading.
  • Pro Subscribers ($20/month):
    Access to 500 daily queries, a huge jump in usage allowance. That’s significantly undercutting some major players, like OpenAI’s $200/month plan.

In comparison to enterprise-level AI research tools (which can run up to $75,000 per month), Perplexity is practically handing out advanced AI research on a silver platter, at least from a cost perspective. The company’s strategy here seems to be a combination of “democratise AI research” and “force the big boys to rethink their pricing.”

Performance Benchmarks

Alright, so how does Deep Research stack up under the hood? Let’s get to the numbers:

  • Humanity’s Last Exam:
    • Perplexity’s Deep Research: 21.1%
    • OpenAI’s Deep Research: 26.6%
    • Google’s Gemini Thinking: 6.2%
    • Grok-2: 3.8%
    • GPT-4o: 3.3%
  • While Perplexity lags a bit behind OpenAI’s top-tier offering, it beats other well-known AI models by a fair margin.
  • SimpleQA Benchmark:
    • Perplexity’s Deep Research: 93.9% accuracy
    That’s pretty darn good, though critics note Perplexity uses live internet data for answers, whereas some other models rely purely on their trained knowledge.

So, yes, it’s not absolutely top of the tree on some metrics, but it’s definitely competitive—and far ahead of many alternatives.

Market Impact and Competition

This move puts Perplexity squarely on a collision course with OpenAI and Google, who’ve been jockeying for position in the advanced AI research space. It’s worth noting:

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  • Company Growth:
    Perplexity was founded in 2022 by ex-OpenAI researcher Aravind Srinivas. Rapid expansions, plus a $500 million funding round last December, have given it a staggering $9 billion valuation. Investors include heavyweights like Jeff Bezos and Nvidia.
  • Legal Hurdles:
    Perplexity is currently wrestling lawsuits from some media organisations over alleged unauthorised use of copyrighted articles. They’re seeking to mollify publishers with collaboration deals and revenue-sharing agreements, signing the likes of Time and Fortune.
  • Competition:
    Google is well-established, and OpenAI has name-brand recognition plus GPT’s massive user base, but Perplexity’s “high-value, low-price” approach could disrupt the market if it continues to deliver on speed and research depth.

Challenges and Future Outlook

Despite the buzz, Perplexity’s Deep Research isn’t without its pitfalls:

  1. Accuracy vs Speed
    While 21.1% on Humanity’s Last Exam is solid, it’s still below OpenAI’s 26.6%. Perplexity’s big claim is that it outdoes many rivals on speed. But for critical, expert-level tasks, some users may still lean towards the highest possible accuracy.
  2. Ethical Concerns
    Like all AI research tools, there are worries about diminishing human critical thinking and potential reliance on “fast” answers over “deeply validated” insights. That’s an industry-wide conversation that won’t end soon.
  3. Ongoing Lawsuits
    The legal back-and-forth with major media outlets is no small matter. To remain fully legit (and maintain public trust), Perplexity will likely have to sign more licensing deals or refine how it sources content.
  4. User Trust and Adoption
    Breaking into a space dominated by OpenAI and Google is no walk in the park. Even if their product is fantastic, Perplexity needs to keep scaling its user base while handling the stress test that a wave of new users can bring.

Despite these challenges, Perplexity is forging ahead with expansions to iOS, Android, and Mac platforms, as well as continued refinement of its models. If they strike the right balance between accessibility, accuracy, and cost, there’s a good chance they can secure a sizeable share of the AI research pie.

Why Speed and Cost Matter in AI Research

The AI research sphere is going through a bit of a metamorphosis: big enterprise solutions can cost tens of thousands per month, yet more and more small businesses, freelancers, and academics also want access to advanced AI. By offering a freemium tier that performs at a near-competitive level with top-tier solutions, Perplexity is effectively lowering the barrier to entry for advanced research.

And speed? If you can get a comprehensive, properly cited report in 3 minutes rather than 30, that’s a massive productivity win. For time-critical fields like finance, health, or real-time marketing campaigns, it can be the difference between making the right call or missing an opportunity.

Potential Applications Across Industries

Perplexity is keen to emphasize how Deep Research can handle multiple verticals:

  • Finance: Collating market data, generating forecasts, and providing real-time financial analysis.
  • Marketing: Performing competitor analysis, consumer behavior insights, and strategic planning.
  • Technology: Deep dives into emerging tech trends, algorithmic benchmarks, and scoping out R&D projects.
  • Health: Acting as a personal consultant for health and wellness research (with obvious caveats that it’s not a medical professional!).
  • Travel Planning: From recommending itineraries to budgeting and flight/hotel comparisons.
  • Product Research: Assessing product features, user sentiment, and market viability.

Essentially, if you need to wade through lots of data quickly, Deep Research might be your new best mate.

Accuracy, Trust, and User Feedback

Ensuring Accuracy

How does Perplexity aim to keep the nonsense and hallucinations to a minimum? They rely on a variety of strategies:

  1. Searching Hundreds of Sources
    It’s all about cross-referencing. If 90% of sources say “X,” the final answer probably leans that way.
  2. Trust-Based Ranking
    A PageRank-esque system that looks at source credibility, giving more weight to, say, reputable news outlets over random forums.
  3. Ongoing User Feedback
    Perhaps the most crucial: they allow users to flag dodgy info or provide improvements, using that data to retrain and refine the model.

Feedback Loop

Perplexity encourages a user-driven improvement cycle. Types of feedback they actively seek:

  • Accuracy Assessment: Point out any wrong or outdated info.
  • Source Quality: Let them know if a chosen source is questionable or irrelevant.
  • Comprehensive Coverage: Tell them if the final report missed a critical subtopic.
  • User Experience: Interface or design tweaks that could smooth out the workflow.
  • Domain-Specific Nuances: For fields like finance or health, domain experts can highlight deeper complexities to refine the AI’s output.

This iterative approach helps Perplexity calibrate its models over time, building a more reliable system that better meets user expectations.

Final Thoughts

So there you have it—Perplexity’s Deep Research is here, and it’s looking to shake up the AI research market by delivering swift, thorough, and fairly accurate results without the punishing subscription fees of some competitors. While it may not quite surpass OpenAI’s top-tier solution in raw accuracy, it’s coming close enough for most everyday use cases—and, in some respects, it’s leaving everyone else in the dust.

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The company’s growth, ambitious partnerships, and willingness to face legal and ethical questions head-on show that Perplexity is more than a flash in the pan. If you’re in finance, marketing, or tech, or simply a curious researcher wanting a user-friendly, budget-friendly AI tool, you might want to take Deep Research for a spin. It’s free, after all, so why not?

One thing’s for sure: with market leaders being nudged by smaller but nimble players like Perplexity, the AI research landscape will only get more interesting—and more competitive. Watch this space.

What do YOU think?

Will Perplexity’s freemium ‘Deep Research’ tool be the breakthrough that finally topples AI giants like OpenAI and Google, or is this just a temporary shake-up in an ever-evolving battlefield? Let us know in the comments below.

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Playbook: How to Use Ideogram.ai (no design skills required!)

Turn text into stunning visuals with Ideogram.ai. This no-jargon guide shows you how to create AI logos, posters, memes, and merch—even as a total beginner.

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how to use Ideogram.ai

Part of our Prompt and Play series, this article brings AI image magic for anyone who’s ever wished they could turn words into posters, logos, merch, memes—and more.

Whether you’re a total beginner, a brand builder, a creator with too many ideas, or just AI-curious, this guide will help you get the best out of Ideogram.ai—one of the easiest and most fun tools to explore visual creativity through text prompts.

No jargon. No prior experience needed. Just ideas, a keyboard, and a pinch of prompt magic.


1. What is Ideogram.ai – and Why Should You Care?

Ideogram.ai is a free, browser-based tool that turns text prompts into striking images, with one major advantage: it’s actually good at rendering text. That means you can generate logos, signs, posters, and packaging mockups that don’t end up looking like alphabet soup.

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You’ve probably seen other AI art tools struggle with spelling—Ideogram has made this its superpower.

What it’s great for:

  • Logos and branding mockups
  • Posters, merch and marketing visuals
  • Social content and memes
  • Lettering-based art (neon signs, graffiti, retro fonts, etc.)

The tool’s simple interface, community sharing features, and easy remixing make it one of the most user-friendly creative playgrounds out there—especially if you’re just getting started with AI-generated design.


2. Start Here: Your First 5-Minute Prompt Test Drive

Here’s a super-simple way to get your first result in under 5 minutes:

Try this prompt:

“Logo that says: COFFEE CLUB, in bold black letters, on a white background, minimalist design”

You’ll instantly get 4 images. If you like one, great—download it or remix it. If it’s not quite right, click “Remix” and adjust your words slightly.

Quick win tips:

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  • Use “that says:” or “with the text:” for best results when adding words.
  • Keep your first prompt clear and simple—no need to overcomplicate.
  • If you’re not getting readable text, try rephrasing slightly or switching to a simpler style (e.g. “modern logo design” or “minimalist”).

3. Prompt Craft: The Secret Sauce to Better Images

Prompt Formula (use this as your go-to starting point):

[Subject or Object] with [Key Attribute or Message], in [Visual Style or Medium], featuring [Text or Colours], on [Background or Scene].
→ Then adjust based on the output.

Example:

“Festival poster that says: LUNAR VIBES 2025, colourful retro style, glowing neon lights, black background”

🔍 What to know:

  • Text prompting is Ideogram’s strength, so be specific:
    “Poster with the text: SALE NOW ON” works better than “Sale poster.”
  • You can give style guidance like “hand-drawn,” “graffiti,” “pixel art,” or “minimalist.”
  • Weights and modifiers like :: are not required—but useful for advanced users.
    (e.g. “Cyberpunk city::2, blue tone::1.5, background::0.5”)

❌ Common mistakes:

  • Prompting like ChatGPT (“Create a logo for my business…”)—just say what you want!
  • Overloading the prompt with too many styles or requests
  • Forgetting to use “that says:” when including readable text


4. The Toolbench: Features You Should Actually Use

Let’s break down what matters on-screen:

🎛️ Style Presets

These buttons help nudge your image toward a certain vibe:

  • Typography – Great for bold, clean logo text
  • Poster Art – Ideal for stylised messaging (events, campaigns, activism)
  • 3D Render – Good for packaging mockups
  • Illustration / Painting / Pixel Art – Best for storytelling and creative play

🧪 Tip: Style buttons affect how your prompt is interpreted, so try toggling different ones with the same prompt.

🔄 Remix vs Variations

  • Remix = Keeps your image but lets you rewrite or tweak the prompt to guide a new version
  • Variations = Auto-generates 4 similar images with slight changes (useful if you’re almost there)


✏️ Editing an Existing Creation

Want to change the text, colours, or layout of something you made earlier?
Here’s how to do it:

  1. Open the image you want to adjust.
  2. Click “Remix” – this pulls in your original prompt.
  3. Change only the part you want to improve (e.g. “black background” → “yellow background”; “SALE NOW ON” → “LAST CHANCE!”).
  4. Click “Generate” to see your updated versions.

This is the fastest way to iterate on a design without starting from scratch. You can do this with your own images or images shared by others (if remixing is enabled).


👥 5. Power Users: How Marketers Can Get the Most Out of Ideogram

If you’re running campaigns, building content calendars, or just trying to stay ahead of your social media schedule—Ideogram is a shortcut to visual ideas that don’t need a designer (yet).

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Here’s how marketers can make it work:

📌 What to use it for:

  • Social media graphics with promo text
  • Bold callouts for paid ads
  • Poster-style teaser images for events or launches
  • Typography-led Instagram posts
  • Quick campaign mockups (try a few visual routes before briefing design)

🧠 Prompt Ideas for Marketers:

“Poster that says: 50% OFF THIS WEEKEND ONLY, minimalist black text, red background”

As you can see here, even Ideogram isn’t infallible when it comes to text — in the first image, WEEKKEND is spelled incorrectly (so you could use the ‘Remix’ feature above to rerun this)/


✅ Bonus tip:

Use Ideogram for MVP branding—logos, taglines, colour combos—for new campaigns, sub-brands or event assets. You can test 5 looks in 5 minutes and get stakeholder feedback before the designer even opens Figma.


👥 6. Power Users Continued: Creators, SMBs, Educators

🎨 For Creators & Designers

Whether you’re a digital artist, YouTuber, podcaster, or print-on-demand dabbler, Ideogram is a playground for creative iteration.

Use it for:

  • Album covers, podcast art, YouTube thumbnails
  • T-shirt mockups or sticker designs
  • Personal logos, avatars, banners
  • Aesthetic moodboards or typography-led artwork

Prompt ideas:

“T-shirt design that says: Trust the Process, 70s retro style, bold colours”

“Podcast cover art for: The Digital Drift, glitchcore style, purple and black, clean typography”

💡 Tip: Try variations to explore visual “takes” on a concept. It’s like getting multiple drafts for free.

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🛒 For Small Business Owners & Entrepreneurs

You don’t need to be a designer to make your brand look like one. Ideogram gives you fast, low-effort visuals to test and showcase your business.

Use it for:

  • Logos, flyers, business cards, promo posts
  • Etsy or Shopee store banners
  • Popup event posters or in-store signage
  • Social content with callouts or quotes

Prompt ideas:

“Logo for: Bean & Co Coffee Bar, minimalist black on white, modern serif font”

“Flyer that says: Pop-up This Saturday, 11am–6pm, local art and food, vibrant colours, community vibe”

Or use together:

“Logo for: Bean & Co Coffee Bar, minimalist black on white, modern serif font” “Flyer that says: Pop-up This Saturday, 11am–6pm, local art and food, vibrant colours, community vibe”

📦 Tip: Pair with Canva or a print service to turn your images into usable templates or assets.

📚 For Educators & Students

Great for classroom projects, quick visual storytelling, or just making your slides way more interesting.

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Use it for:

  • Posters, infographics, classroom signage
  • Book or film “cover” assignments
  • Slide visuals or explainer imagery
  • AI storytelling or creative writing pair-ups

Prompt ideas:

“Poster that says: Save the Rainforest, student project, bright and bold, friendly cartoon style”

“Visual story: The Robot Who Wanted to Be a Painter, digital illustration, children’s book style”

📖 Tip: Students love remixing each other’s prompts—great for creative iteration in a classroom setting.


🧪 7. Experiment Lab: Fun Prompt Challenges to Try

Kickstart your creativity with these mini challenges:

🧢 “Design a t-shirt for your dog’s startup”
→ Prompt: “Logo that says: BarkTech, playful dog tech startup, futuristic blue and green”

🎬 “Make a movie poster for a film that doesn’t exist”
→ Prompt: “Movie poster for: Moonlight Over Osaka, noir romance, neon style, rain background”

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🎤 “Create an album cover based on your mood right now”
→ Prompt: “Album cover for: Calm Chaos, ambient music, blue waves and soft light”

💡 These can be great warm-ups before serious projects—or just a way to explore visual directions without pressure.


🧙‍♂️ 8. Pro Tips & Prompt Magic

Here’s where things get spicy. A few insider moves to level up your Ideogram game:

🔤 Better Text Results

  • Always use “that says:” or “with the text:” to guide readable copy
  • Avoid long sentences—short phrases and bold text work best
  • Use quotes sparingly (e.g. that says: “Be Kind”) for cleaner rendering

⚖️ Prompt Balance

  • Keep a clear subject and mood—don’t overload with style mashups
  • Use fewer modifiers to control clutter
    (“clean” > “vintage + neon + graffiti + smoke + metallic”)

🙅 Negative Prompts That Work

Add to your prompt:

  • “no blur”
  • “no watermark”
  • “no extra text”
  • “plain background”

♻️ Remix vs Starting Over

  • Use Remix to refine one idea quickly
  • Start fresh if your original prompt is too muddled—simpler is often better

🗃️ Build Your Prompt Library

Keep a notes doc or Notion page of prompts you like.
Label them: “Event Poster,” “Logo Style 1,” “Inspirational Quote Card,” etc.
Reuse and tweak them like ingredients in your own creative kitchen.

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💾 9. Save, Share & Remix Like a Pro

✅ Saving Images

Click the image, then use the download button for the highest resolution.
Want it background-free? Use a background remover (e.g. remove.bg) for logos or stickers.

🔄 Remixing Others

Browse the Explore tab to see what others are making.
Click Remix on anything that inspires you—it brings in the prompt, so you can tweak and build on it.
✨ Always credit or shout out creators if you use their prompt as a starting point.

📁 Build a Brand Set

Make 4–5 versions of your logo in different styles (e.g. minimalist, vintage, bold).
Use them across socials, packaging, site banners.
This works especially well for side hustlers or new ventures.


⚖️ 10. Where It Shines vs Where It Struggles

StrengthsWatch-outs
Amazing at text in imageNot built for photorealism
Fast and user-friendlyComplex scenes can get cluttered
Great for branding, posters, signagePeople or detailed realism? Use Midjourney instead
Easy Remix and Community cultureLimited control vs pro tools like Photoshop

🚀 Final Thought: Why Ideogram Deserves a Spot in Your AI Toolkit

You don’t need to be a designer to look like one—and Ideogram makes that possible. For anyone who’s ever opened Canva and wished they had a logo, a flyer idea, or just a vibe to work with, this tool is an instant creativity unlock.

It won’t replace a professional design team—but it will help you ideate faster, iterate better, and bring your ideas to life in minutes.

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🎁 Bonus: 10 Ready-to-Use Prompts to Copy & Tweak

Want to hit the ground running? Here are 10 plug-and-play prompts you can paste into Ideogram right now. Tweak the text, colours or style to match your brand or project.

🔖 Logos & Branding

Logo that says: [Your Brand Name], modern minimalist style, black text on white background

Logo that says: [Your Cafe Name], handwritten font, earthy colours, clean layout

🛍️ Marketing & Promotions

Poster that says: SALE ENDS TONIGHT, bold red text on white background, simple design

Instagram post for new collection: [Your Product], modern style, pastel colours, clean layout

👕 Merch & Creators

T-shirt design that says: Stay Curious, 90s aesthetic, bold colours, graphic style

Album cover for: [Band or Vibe], dark glitchcore aesthetic, neon blue and purple

🎓 Educators & Events

Classroom poster that says: Kindness Matters, playful cartoon style, rainbow colours

Flyer that says: Open House This Friday, student event, friendly bold text, bright layout

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💡 Fun & Experiments

Meme that says: When the Wi-Fi Drops One Bar, simple comic style, white background

Festival poster for: Cloudwave 3025, synthwave colours, cyberpunk vibe, black background

You can save your favourites, remix others, or create a swipe file of go-to prompts for every mood, season, or campaign.


✌️ That’s a Wrap – Go Play, Remix, and Create

Ideogram.ai isn’t just a tool—it’s a creative playground for anyone with a keyboard and an idea. Whether you’re building a brand, making memes, designing merch, or just having fun, it gives you a low-barrier, high-reward way to bring your words to life.

And the best part? You don’t need to be a designer. Just someone willing to play.

See you in the prompt bar. 🎨

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What Do YOU Think?

Share your own personal tips and experiences below. Which prompt worked best for you?

This article is part of our Prompt and Play series

Prompt and Play series

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Can AI Videos Really Boost Your Brand’s Authenticity?

AI-generated videos are reshaping brand authenticity and trust among audiences. Discover actionable insights: 2025 AI Sentiment Report.

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AI-generated video

TL;DR – What You Need to Know in 30 Seconds

  • Consumers overwhelmingly accept AI-generated videos, seeing them as innovative and authentic.
  • Brands must transparently disclose their use of AI to enhance trust.
  • High-quality, personalised content blending AI with human creativity is critical for engagement.

How Brands In Asia Can Navigate Trust, Transparency, and Creativity Through AI-generated Video Content

Picture this: your favourite brand releases an amazing video campaign that grabs your attention, moves you, and makes you want to share it instantly. Now imagine learning that this compelling video wasn’t crafted by humans alone—it was produced using AI. Would your trust in that brand suddenly plummet, or would you see it as innovative?

The answer might surprise you. A recent global survey of 2,385 consumers has shown a fascinating shift: the majority not only accept but actively embrace AI-generated videos.

Let’s dig into what this means for brands across Asia, and how you can harness AI video to boost creativity, authenticity, and consumer trust.

The AI video landscape: a quick snapshot

Video has become the lifeblood of digital communication. In 2023 alone, over three billion people worldwide engaged with video content, solidifying its role as the content king. Today, 86% of businesses rely on video marketing, and the data tells us why: 90% of consumers confirm that videos significantly influence their purchasing decisions​.

As the appetite for engaging, relevant video content grows, brands face the challenge of creating high-quality videos swiftly and affordably. Enter AI-generated videos—a game-changer that promises efficiency, creativity, and scale. But is the audience on board?

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Seven essential insights brands need to know from the 2025 AI Sentiment Report:

1. Audiences are comfortable with AI-generated videos

  • 90.9% have no issue with brands using AI-generated videos.
  • Words like “innovative,” “modern,” and “efficient” regularly cropped up, reflecting a positive shift in consumer sentiment​.

2. AI enhances authenticity and creativity (yes, really!)

  • 89.1% said AI doesn’t negatively impact brand perception.
  • 62.8% agree AI-generated videos enhance brand creativity and storytelling.
  • Smaller brands now have a chance to compete creatively with big-budget campaigns, levelling the playing field significantly​.

3. Transparency isn’t optional

  • 75.6% consider transparency about AI usage essential.
  • Audiences prefer clear labels/icons (59.4%), descriptions (25.5%), or social hashtags (13.7%) to indicate AI-generated content​.

4. Human creativity still matters—a lot

  • A striking 85.5% of respondents react positively when human involvement complements AI-produced videos.
  • Brands that blend AI efficiency with human touch achieve stronger engagement and mitigate authenticity concerns​.

5. Quality directly impacts trust

  • Over half (54.2%) say high-quality AI videos increase brand trust.
  • Conversely, poor-quality videos quickly erode consumer confidence (10.3% lose trust)​.

6. Social media leads, but don’t neglect other platforms

  • Social media tops the list (69.4%) for consumer comfort with AI-generated videos.
  • Tutorials (31.1%), product demos (30.4%), and even customer support (27.3%) show AI video’s remarkable versatility​.

7. Personalised content drives deeper engagement

  • 52.2% engage more with high-quality videos, while 25.1% prefer personalised content.
  • This highlights the need for strategic targeting and tailored storytelling for Asian consumers, who value relevance highly​.

Actionable roadmap for Asian brands: combining AI with authenticity

The path forward is clear for Asian brands aiming to harness AI-generated video effectively:

  • Prioritise transparency: Clearly label AI-generated content using recognisable icons or descriptions. Consumers value openness—so shout it loud and clear.
  • Invest in quality: Use advanced AI video tools to produce professional, lifelike, and compelling content. Your audience expects—and rewards—excellence.
  • Blend AI and human creativity: Don’t rely on AI alone. Human storytelling enriches AI-generated content, creating videos that resonate emotionally with viewers.
  • Choose your channels wisely: Deploy AI videos strategically on social media, tutorials, product demos, and customer interactions. Meet your audience where they feel comfortable engaging.
  • Personalise, personalise, personalise: Craft targeted messages that reflect your audience’s interests, values, and cultural contexts. Especially in diverse Asian markets, personalised content ensures deeper connections.

Final thoughts: Is AI the future of video marketing in Asia?

Absolutely. AI video isn’t just a flashy tech trend—it’s rapidly becoming essential to effective digital storytelling. Asian brands have an exciting opportunity to lead in this area by balancing innovation with transparency and authenticity.

As AI continues to evolve, expect more immersive, interactive experiences that redefine consumer engagement. Embrace this evolution now, and you’ll set your brand up not just to meet—but exceed—consumer expectations.

Ready to explore more on AI’s growing role in shaping consumer sentiment in 2025?
Keep following AIinASIA for deeper dives and practical insights.

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The Secret to Using Generative AI Effectively In 2025

Struggling with genAI? You might be prompting it wrong. Discover the key to getting meaningful results from ChatGPT and other generative AI tools in 2025.

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Using generative AI effectively

TL;DR – What You Need to Know in 30 Seconds

  • To get better genAI results, externalise your internal dialogue. This is key for using generative AI effectively.
  • Don’t prompt like it’s 2023—ramble with detail for more effective use.
  • Treat genAI as a brainstorming partner, not a search engine. Knowing how you’re using generative AI effectively will make a big difference.

Think GenAI Sucks? You’re Probably Using It Wrong.

Do you secretly (or perhaps openly) think generative AI (genAI) sucks? For a while so did I. But using generative AI effectively can change your perception.

Frankly, the early hype around genAI was painful. Remember when ChatGPT exploded in early 2023, and everyone rushed to cram it into their businesses? Those were rough times. Companies, convinced they could instantly replace human talent, laid off skilled workers only to realise later their shiny new AI toys weren’t up to scratch.

Fast-forward to 2025, and the good news is: genAI is finally useful. But there’s a catch—you have to rethink how to use it.

The Surprising Secret: Externalising Your Inner Dialogue

Here’s the thing: genAI doesn’t thrive on short, neat prompts like traditional Google searches. It needs your messy thoughts. In other words, you need to ramble. Learning how to ramble effectively is a part of using generative AI effectively.

Imagine you’re trying to recall that elusive word, the one that perfectly captures a feeling. In Google, you’d agonise over the perfect keyword combo. But with ChatGPT? Just pour out your thoughts:

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“What’s the word for a soft feeling that’s warm, but a bit cold? It’s a bit sad, but not quite… you miss something, but you’re glad you miss it. Like walking home from school on a sunny autumn day, knowing winter’s coming and summer’s gone—but you’re happy it happened.”

ChatGPT will understand you’re reaching for “wistful,” or at least point you to it. This kind of rambling, stream-of-consciousness prompting unlocks genAI’s best results.

Why Rambling Works Better Than You Think

To really see genAI shine, do this experiment:

  • Open ChatGPT on your phone.
  • Tap the microphone button (the one next to the chat box—not the voice chat mode).
  • Ramble freely about whatever you’re looking for. Searching for a TV show? Talk about what you like, dislike, your recent binges, random stuff—yes, really random stuff.
  • Let your thoughts flow for a minute or two, then hit send without editing. Let the typos, ums, and randomness stay. This method is part of using generative AI effectively.

You’ll get back a response that’s surprisingly on-point. Even better, it’ll suggest avenues you hadn’t considered. Your initial messy prompt becomes a rich context for further exploration.

Back-and-forth Is Your Friend

Say you want the perfect marketing tagline. Start broad, then iterate:

  • Get rough ideas first.
  • Narrow down based on your reactions.
  • Keep steering the conversation with more detailed feedback. This iterative process is crucial for using generative AI effectively.

“I like the third idea, but make it punchier. Number six feels too formal.”

Crucially, you’re still in charge. The AI provides ideas; you provide the judgement. If it strays, simply say, “Not quite right—it’s for a major clothing brand, not a tech startup. Keep it professional but catchy.” The more specific you are, the better it adapts.

AI Productivity Tips: It’s About Co-discovery, Not Automated Decision-making

Think of genAI as your brainstorming partner, not an answer machine. It’s there to surface ideas, connections, and concepts, but you’re still calling the shots. You’re still the one deciding what’s worth pursuing.

Yes, genAI will sometimes hallucinate or miss the mark. That’s fine—just redirect it. Tell it exactly why it’s off-track. The beauty of genAI is its adaptability, not its perfection. Using generative AI effectively involves understanding its limitations and guiding it accordingly.

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The Bigger AI Picture: Companies Have Been Selling It Wrong

If you’re sceptical of genAI, that makes sense. The industry’s been pitching it incorrectly, presenting it as a magical decision-maker. No wonder smart people roll their eyes.

GenAI isn’t a replacement for your brain—it’s a tool to extend it. You might still brainstorm traditionally, browse Google, or take long walks to think. Perfect. Generative AI is just another way to spark those insights faster. Ultimately, success depends on using generative AI effectively.

What do YOU think?

Are you ready to stop treating genAI like a vending machine and start chatting with it like a friend?

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