Using ChatGPT with Gary Vee’s attention mindset to fix weak ideas

Craig Nash
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Craig Nash
Tech writer at All Things Geek. Covers artificial intelligence, semiconductors, and computing hardware.
11 Min Read
Using ChatGPT with Gary Vee's attention mindset to fix weak ideas

The attention is currency mindset, popularized by entrepreneur Gary Vaynerchuk, suggests that capturing audience focus is more valuable than perfecting ideas. One creator recently tested this philosophy by combining it with ChatGPT to rescue their weakest content concept—and turned a generic productivity listicle into a viral Twitter thread with 50,000 impressions in 48 hours.

Key Takeaways

  • The attention is currency mindset prioritizes audience engagement over idea polish and perfection.
  • ChatGPT can rate content ideas on attention potential using a simple 1-10 scoring framework.
  • A generic “10 Ways to Improve Your Productivity” idea scored 3/10 before revision.
  • Adding contrarian angles, storytelling, and niche targeting dramatically increased attention potential.
  • Testing ideas on social platforms like Twitter reveals real engagement within 24-48 hours.

What Is the Attention Is Currency Mindset?

The attention is currency mindset rejects the perfectionist approach to content creation. Instead of polishing weak ideas until they shine, Gary Vee emphasizes speed, authenticity, and ruthless audience focus. The core principle: an imperfect idea that grabs attention beats a polished idea that nobody sees. In a crowded digital landscape, visibility and engagement matter more than intrinsic quality. This mindset forces creators to ask a single question before investing time: will this capture and hold someone’s attention?

Gary Vee’s framework values what actually moves people—emotion, controversy, relatability, timeliness—over what creators assume is good. A generic productivity tip might be technically sound but emotionally dead. A contrarian take on productivity might spark debate and shares. The shift from “Is this idea good?” to “Will this idea get attention?” changes everything about how creators approach their work.

How One Creator Used ChatGPT to Score Their Weakest Idea

The creator started with a title that screams “ignore me”: “10 Ways to Improve Your Productivity.” Bland, overdone, and buried under millions of similar articles, this idea had no attention potential. Instead of abandoning it, they fed it to ChatGPT with a specific prompt designed around Gary Vee’s mindset: “Apply Gary Vee’s ‘attention is currency’ mindset to evaluate this idea: [insert idea]. Rate its attention potential on a scale of 1-10, explain why, and suggest 3 ways to make it attention-worthy.”

ChatGPT scored the original idea 3/10. The reasoning was sharp: no uniqueness, no emotional hook, no controversy, no timeliness. The idea was forgettable. But the AI then generated three concrete improvements. First, add a contrarian angle—flip the concept to “Why Productivity Hacks Are Making You Less Productive.” Second, incorporate personal storytelling or memes to create emotional resonance. Third, niche the idea down to a hyper-specific audience like “Productivity for Night Owls in Tech” rather than everyone.

The creator implemented the contrarian angle and meme strategy, then tested the revised idea on Twitter. Within 48 hours, the thread generated 50,000 impressions. This wasn’t a perfect execution—it was an attention-optimized one.

Why This Works Better Than Traditional Brainstorming

Solo ideation wastes time. A creator sits alone, generates ideas, and defaults to what feels safe and familiar. ChatGPT paired with the attention is currency mindset accelerates this process tenfold. The AI doesn’t care about your ego or attachment to an idea. It scores ruthlessly and explains why. This removes emotional bias from the evaluation process.

Traditional brainstorming often produces ideas that are “good enough” but forgettable. The attention is currency mindset forces a different question: forgettable is the death of content. Contrast this with perfectionist creators who spend weeks polishing weak ideas, hoping refinement will save them. Gary Vee’s approach says: if an idea scores low on attention potential, no amount of polish fixes it. Instead, pivot the concept entirely or abandon it and move to the next one.

ChatGPT makes this pivot instant. You get a score, reasoning, and three actionable directions within seconds. A creator can test five weak ideas and identify the one with hidden attention potential before lunch. This speed advantage alone explains why AI-assisted ideation is reshaping content strategy.

Testing Attention Potential on Real Platforms

Scoring high on ChatGPT is useful, but real attention happens on platforms where audiences actually exist. Twitter is the ideal testing ground because the algorithm rewards engagement quickly and metrics are transparent. The creator posted the revised productivity thread and watched impressions climb to 50,000 in 48 hours—proof that the contrarian angle and niche targeting worked.

This testing phase is critical. A ChatGPT score of 7/10 or 8/10 is a good signal, but only real audience behavior confirms whether an idea actually captures attention. If a revised idea underperforms on Twitter, that’s data. Return to ChatGPT, ask why it missed, and iterate again. The cycle of score-revise-test-repeat is fast enough to run three or four iterations in a single week.

Alternatives like Claude or Gemini produce similar results for idea evaluation, but ChatGPT’s speed and accessibility make it the fastest option for creators working on tight timelines. The free tier is sufficient for this workflow—no paid subscription required.

Practical Steps to Apply This Framework

Start by listing your three to five weakest content ideas. Pick the one you think has the least potential. Write a clear, one-sentence description of the idea—nothing fancy, just the core concept. Paste it into ChatGPT along with the Gary Vee prompt: “Apply Gary Vee’s ‘attention is currency’ mindset to evaluate this idea: [idea]. Rate its attention potential on a scale of 1-10, explain why, and suggest 3 ways to make it attention-worthy.”

Read the score and the reasoning carefully. If it scores below 5, examine the feedback. Does the AI say the idea lacks emotion, urgency, or uniqueness? Those are fixable problems. Review the three suggestions and pick the top one or two that feel authentic to your voice and audience. Implement the revision—change the angle, add a personal story, niche it down, inject controversy, or add timeliness.

Post the revised idea on a platform where you can measure engagement quickly. Twitter works best because impressions, likes, and replies are visible in real time. Track metrics for 24 to 48 hours. If the idea underperforms, return to ChatGPT and ask for a second round of revisions. Aim for ideas that score 7/10 or higher before publishing to your main channels.

Why This Beats Perfectionism

Perfectionism is a creativity killer. A creator spends three weeks polishing a mediocre idea, hoping that better writing, design, or timing will save it. None of those things fix a fundamentally forgettable concept. The attention is currency mindset says: spend three days testing five ideas, pick the one with the highest attention potential, and execute it fast. Speed and focus beat polish and hope.

ChatGPT makes this possible because it removes the emotional attachment to ideas. You don’t feel defensive about a 3/10 score from an AI the way you might if a colleague critiqued your work. The score is data, not judgment. This psychological distance makes it easier to kill weak ideas and pivot quickly.

What Happens When You Score Ideas Consistently

After running this process three or four times, a pattern emerges. You learn which types of ideas naturally score higher—contrarian angles, niche audiences, timely hooks, emotional resonance. You start writing ideas with these elements built in. ChatGPT becomes less of a rescue tool and more of a validation checkpoint. Instead of scoring 3/10, your new ideas hit 6/10 or 7/10 out of the gate.

The creator in this example didn’t stumble onto viral success by luck. They applied a repeatable framework: score ruthlessly, revise based on attention principles, test immediately, iterate if needed. This is how Gary Vee’s mindset translates from keynote philosophy into actual results.

Is ChatGPT always right about attention potential?

No. ChatGPT scores based on patterns in its training data, not on real-time audience sentiment or platform algorithm changes. Human intuition still matters—you might know your specific audience better than the AI does. Use the score as a signal, not a guarantee. If ChatGPT says an idea scores 4/10 but you feel strongly about it, test it anyway. Real results matter more than AI predictions.

Can you use Claude or Gemini instead of ChatGPT?

Yes. Claude and Gemini produce similar quality evaluations when prompted with the same Gary Vee framework. ChatGPT is fastest and most accessible, but alternatives work. Test whichever tool you already have access to. The prompt matters more than the AI model.

How many times should you revise an idea before giving up?

If an idea scores below 4/10 after one revision, it’s probably not worth saving. Some ideas are fundamentally weak. The attention is currency mindset says: kill it and move to the next one. Time spent rescuing a doomed idea is time not spent on a concept with real potential. Ruthlessness is part of the framework.

The attention is currency mindset paired with ChatGPT transforms how creators evaluate and improve ideas. A generic productivity listicle became a viral thread because one creator stopped asking “Is this idea good?” and started asking “Will this capture attention?” That shift in thinking, combined with AI-powered scoring and rapid iteration, is how weak ideas become wins.

Edited by the All Things Geek team.

Source: Tom's Guide

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Tech writer at All Things Geek. Covers artificial intelligence, semiconductors, and computing hardware.