Currently, some KOLs are a bit fake, for example, many with high likes and shares are actually bought.


Why is this happening? Because brands are still looking at data, and they allocate budgets to those who look good on paper.
But the problem is that those who genuinely create content find it harder to make money, as budgets are eaten up by fake traffic, and users are increasingly distrustful of this content.
This is the so-called engagement farming, which essentially involves faking data.
Recently, I saw what @Magverse_AI is doing; their approach is quite straightforward—focusing not on how popular you appear on the surface, but on your real results.
For example:
Verifying KOLs, filtering out bots, linking earnings to actual performance, and on-chain settlements that cannot be faked.
If you're a content creator, you might want to think: do you want to continue competing with fake data, or start competing with real value?
Join us together 👉
#onchain #aiagents
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GateUser-6c8d2dd2
· 1h ago
1
Reply0
WalletEarlyAccessAlarm
· 2h ago
But also worried that early data sources for new projects are not comprehensive enough. How can we prevent being bypassed by new types of spammers?
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OrdersPlacedBeforeTheStorm
· 2h ago
People who genuinely create content really feel uncomfortable being driven out by bad money. Can we return the budget to true creators?
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GateUser-af0710ba
· 2h ago
Support making KOL verification an industry standard, no longer relying on screenshot reports to deceive investors.
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BluePeonyMinerDream
· 2h ago
If the returns are linked to actual performance, the ROI from artificially inflating metrics drops to zero, providing motivation to focus on the content itself.
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SushiStopLoss
· 2h ago
What specific metrics should I look at for "real results"? Clicks, lead generation, transactions, or on-chain activities?
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BridgeUnderTheMoonlight
· 2h ago
The key part of filtering bots is that if the bot isn't cleared, any KPI is just self-congratulation.
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