Viral City

Content drives attention, but video is how attention spreads. Most on-chain assets don't fail because the idea is weak; it fails because the on-chain assets never achieve consistent reach.

UGC is the obvious unlock because fans want to support the on-chain assets they love. The gap is execution: fans often lack (1) the tooling to produce videos that actually go viral, and (2) credible incentives to justify the time and effort required to create and distribute consistently.

Viral City solves both problems through two tightly-coupled layers:

• AI UGC Layer: makes on-brand, platform-native video creation accessible to anyone.

• Mindshare Layer: measures distribution impact and settles incentives transparently.

This is the core idea: lower the cost of creation to near-zero, then make contribution measurable and incentivized.

Problem 1: Creation is gated by tools, skill, and time

Solution: AI UGC Layer (AIGC native to specific on-chain assets)

AI-generated video is already mainstream. Industry research suggests AI-generated videos account for ~40% of new online content, and the quality is increasingly competitive with human-edited short-form. Viral content examples are already visible at scale: for instance, remixes about on-chain assets like Kobe Bryant or Michael Jackson have produced 100+ videos with multi‑million views on TikTok, with complete narratives and strong retention dynamics.

Key mechanism: templates for assets’ content creation.

For every asset, Viral City maintains a library of generative templates for users to play around with.

Creation is intent-driven:

1. A user selects an on-chain asset.

2. The user selects a template (e.g., hook-first origin clip, meme remix, character POV, recap, reveal trailer, duet response), or describes intent in plain language (the joke, the scene, the angle, the CTA).

3. Viral City generates a platform-native video that is always on-brand and always bound to the selected on-chain assets.

Problem 2: Incentives are weak because attribution is weak

Solution: Mindshare Layer (measurement + settlement)

Lowering the barrier to creation is not enough. In Web2, even when fans create valuable content, attribution is messy and payouts are discretionary. Viral City makes distribution measurable and rewards enforceable, so “likes” convert into sustained action.

The Mindshare Layer quantifies two categories of mindshare using AI-assisted evaluation plus verifiable signals:

(1) Project Mindshare (market-level signal) shows how much attention an on-chain asset captures relative to other on-chain assets in the ecosystem. This helps the market discover what’s trending and helps on-chain assets see whether narrative share is rising or decaying.

(2) Individual Contribution Mindshare (user-level signal) shows how much a specific creator/distributor contributed to a specific asset’s growth. This gives contributors a measurable track record and gives on-chain assets a transparent basis for payouts.

In short, project visibility becomes legible, and individual impact becomes payable.

Through the attributions, incentivising community members becomes fair and transparent. In practice, this can be done via the Viral City Campaign system, where the Mindshare Layer operationalizes growth through campaigns that are simple for on-chain assets and legible for contributors:

Campaign definition (by on-chain assets): An on-chain asset launches a distribution campaign on City Protocol specifying duration, themes, target audience, and a reward budget. This is the “growth intent” layer, what story the on-chain assets wants the market to carry.

Creator marketplace activation (by the community): Creators and community members produce short-form videos and narratives using the AI UGC Layer templates. They publish across social platforms, while City Protocol tracks provenance and contribution claims.

AI-powered scoring + leaderboard (by the protocol): The Mindshare system evaluates contributions across multiple dimensions (e.g., originality/quality, platform-native execution, reach/engagement, community response), and maintains live rankings for both projects and contributors.

Reward settlement: Rewards flow to contributors based on contribution scores — transparent, auditable, and rule-based. On-chain assets can see exactly which creators drove traction; creators can see exactly what they earned and why.

This closes the loop between on-chain assets and on-chain assets users: creation is easy, attribution is credible, and incentives are enforceable.

How it works in practice

1) On-chain assets launches a Viral City campaign with duration, narrative themes, eligibility rules, and reward pool.

2) Creators generate content by intent: select on-chain assets → select template → describe intent → generate → publish.

3) Viral City records provenance and links each output to the creator (City ID) and the on-chain assets.

4) Mindshare scoring runs continuously, updating project and creator leaderboards.

5) Rewards settle based on scored contribution.

Through the two layers, Viral City turns virality from a luck-based outcome into a programmable growth system:

The AI UGC Layer makes content production scalable and on-brand through pre-made templates and intent-to-video generation.

The Mindshare Layer makes distribution measurable and pays contributors transparently based on impact.

This is how modern on-chain assets reach escape velocity without million-dollar ad budgets: a thousand-person creative army armed with professional-grade tools, verifiable attribution, and on-chain incentives.