Zesh AI Layer
  • 1. About Zesh AI Layer
  • 2. Executive Summary
  • 3. Key Values
  • 4. Market Overview
  • 5. Why SUI?
  • 6. Platforms
    • 6.1 Zesh Influence AI
    • 6.2 Zesh Engage AI
    • 6.3 Zesh AI ID
    • 6.4 Zesh AI Analytics
    • 6.5 Zesh Wallet & NFT Profile
    • 6.6 Zesh AI Launchpad
  • 7. AI Agents
    • 7.1 InfluenceAI
    • 7.2 EngageAI
    • 7.3 IDAI (Identity & Fraud Detection Agent)
    • 7.4 AnalyticsAI
    • 7.5 ProfileAI
  • 8. Tokenomics
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On this page
  • Core Features
  • How InfluenceAI Works
  • Use Cases
  • Benefits of InfluenceAI
  • Technical Details
  1. 7. AI Agents

7.1 InfluenceAI

InfluenceAI is a state-of-the-art AI Agent designed to revolutionize the way Web3 projects discover, analyze, and collaborate with Key Opinion Leaders (KOLs).

By leveraging advanced technologies like Machine Learning and Natural Language Processing (NLP), InfluenceAI provides detailed, real-time insights into KOL performance, audience impact, and campaign potential. Its predictive capabilities enable projects to maximize ROI and minimize risks when engaging with influencers.

Core Features

1. Dynamic KOL Profiles

  • Real-Time Data Evolution: InfluenceAI creates AI-generated profiles for each KOL, continuously updating them based on live metrics like audience demographics, follower growth, and engagement trends.

  • Comprehensive Insights - Profiles Include:

    • Follower Growth Trends.

    • Engagement breakdowns by platform (X, Telegram, Discord, etc.)

    • Audience demographics, including geography, interests, and engagement patterns.

  • Historical Data Analysis: Tracks KOL performance across previous campaigns, offering a clear picture of their effectiveness and consistency.

2. ZeshScore for KOLs:

  • Authenticity Measurement: InfluenceAI evaluates KOLs for genuine engagement versus artificially inflated metrics, ensuring projects collaborate with trusted influencers.

  • Behavioral Analysis - Scores are based on:

    • Posting frequency and consistency.

    • Depth and quality of audience interactions.

    • Diversity of engagement (unique vs. repetitive responses).

  • Sentiment Trends: AI detects the tone of audience interactions, highlighting whether a KOL fosters positive, neutral, or negative sentiment.

3. Predictive Influence Modeling

  • Campaign Outcome Forecasting - InfluenceAI simulates potential outcomes of working with a KOL, predicting:

    • Wallet activations driven by the KOL’s audience.

    • Token transactions and community growth.

    • Post-campaign audience retention rates.

  • Scenario Testing: Projects can model different campaign scenarios with multiple KOLs, helping them select the most impactful combination.

4. Interactive Campaign Assistant

  • Real-Time Recommendations - InfluenceAI’s chatbot provides instant guidance on:

    • Which KOLs align with project goals.

    • Campaign adjustments needed to optimize performance.

  • Performance Insights:

    • Offers live updates on KOL-driven metrics like audience reach, engagement depth, and wallet activations.

  • Strategic Suggestions: Recommends post-campaign strategies based on the KOL’s impact and community feedback.

How InfluenceAI Works

Data Aggregation:

  • Collects data from on-chain interactions (e.g., wallet activity) and off-chain platforms (e.g., X, Telegram, Discord).

  • Analyzes KOL-specific metrics, including engagement trends and sentiment data.

AI Processing:

  • Machine Learning algorithms process vast datasets to identify patterns and predict outcomes.

  • NLP models analyze sentiment and engagement quality to provide deeper insights.

Insights Delivery:

  • Visualizes findings in an intuitive dashboard, allowing projects to easily compare KOLs and their potential impact.

Use Cases

For Web3 Projects:

  • Optimized KOL Selection: Identify the best influencers to drive engagement and conversions.

  • Budget Efficiency: Allocate resources to KOLs with proven ROI potential.

  • Enhanced Campaign Planning: Use predictive models to minimize risks and maximize impact.

For KOLs:

  • Transparency & Credibility: Showcase ZeshScore™ and detailed metrics to establish trust with potential collaborators.

  • Performance Optimization: Access actionable feedback to improve engagement and audience impact.

For Communities:

  • Genuine Interactions: Benefit from campaigns led by trusted, impactful influencers.

  • Informed Participation: Join projects with verified, value-driven KOL collaborations.

Benefits of InfluenceAI

  • Data-Driven Decisions: Eliminates guesswork in KOL selection, ensuring collaborations are backed by real data.

  • Increased ROI: Predictive modeling ensures projects invest in influencers who drive tangible results.

  • Time Efficiency: Automates KOL analysis, saving time for project teams.

  • Fraud Prevention: Identifies red flags like bot-driven engagement or inflated follower counts.

  • Seamless Integration: Works in conjunction with other Zesh AI Agents for a holistic campaign experience.

Technical Details

AI Technologies Used:

  • Machine Learning for predictive modeling and fraud detection.

  • NLP for sentiment and engagement analysis.

  • Graph Analysis for audience mapping and overlap detection.

Data Sources:

  • Social media platforms (X, Telegram, Discord).

  • On-chain metrics from blockchain interactions.

  • Historical campaign performance data.

Dashboard Features:

  • Dynamic KOL comparison tools.

  • Visualized sentiment trends and engagement metrics.

  • Exportable reports for campaign planning and execution.

InfluenceAI is the ultimate tool for discovering, analyzing, and optimizing KOL collaborations in the Web3 space. By combining real-time data, predictive analytics, and actionable insights, it ensures every campaign is impactful, efficient, and aligned with project goals.

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Last updated 1 month ago