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Mention Network

Decentralized GEO platform that tracks and boosts brand visibility across ChatGPT, Gemini, and other AI models.

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Product Overview

What is Mention Network?

Mention Network is a decentralized data layer built for Generative Engine Optimization (GEO), designed to help brands understand and improve how they appear in AI-generated answers. Instead of relying on synthetic API-based test prompts like most GEO tools, Mention Network crowdsources real, anonymized conversations from actual users interacting with AI models through its browser extension. This authentic data feeds three interconnected products: an AI Visibility Report that shows when and how a brand is mentioned, a Trending on AI dashboard that surfaces rising topics and competitors, and a contributor rewards system that pays users in Mention Points for sharing their AI usage data. The result is a transparent, community-powered alternative to black-box AI platforms for brands trying to stay visible in an AI-first search era.


Key Features

  • Crowdsourced AI Mention Tracking

    Uses a browser extension to capture real user prompts and AI responses, giving far more authentic mention data than synthetic query tools.

  • Multi-Model Visibility Dashboard

    Monitors brand mentions across ChatGPT, Gemini, Perplexity, and other leading AI models in a single unified view.

  • Competitive and Regional Breakdown

    Segments visibility data by geography, topic, and competitor to pinpoint exactly where a brand is winning or losing ground.

  • Trending on AI Discovery

    Surfaces emerging topics, brands, and user sentiment in real time before they become mainstream AI search trends.

  • On-Chain Contributor Rewards

    Rewards data contributors with Mention Points, redeemable for on-chain value, in exchange for anonymized AI interaction data.


Use Cases

  • E-commerce Brand Monitoring : Shopify sellers and online retailers can check whether AI assistants recommend their store when shoppers ask where to buy a product.
  • GEO Strategy for Marketers : Marketing teams can use visibility scores and share-of-conversation data to refine content strategy for AI-first search.
  • Competitive Benchmarking : Brand managers can compare their AI visibility against competitors to identify gaps and growth opportunities.
  • Trend Spotting : Analysts and agencies can track rising topics and brands across AI models to inform early positioning decisions.
  • Passive Data Monetization : Everyday AI users can install the extension to earn rewards simply from their normal AI chat activity.

FAQs

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