ClickSupply：面向印度市场的企业级AEO与GEO优化平台

ClickSupply is an open-source enterprise-level platform tailored for the Indian market, addressing the emerging needs of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). It helps brands track mentions in AI engines, audit AI readiness, and optimize visibility across ChatGPT, Claude, Gemini, and local Indian models like Sarvam AI. Key focus areas include compliance with India's DPDPA, multi-language support, and cost-effective LLM routing.

Traditional SEO is no longer sufficient as users now rely on AI engines (ChatGPT, Claude, Gemini) for direct answers instead of keyword searches. Brands face challenges: how to get mentioned in AI responses, ensure accurate brand info is used, and maintain visibility in this new landscape. ClickSupply provides a framework to track, audit, and optimize brand presence in AI ecosystems.

ClickSupply uses a layered, decoupled design:

• Frontend: Next.js15 + React19 + Tailwind CSS4 (dashboard, brand management, analytics)
• Backend: Python3.11 + FastAPI (auth, brand APIs, analysis engine, AEO audit, Playwright-based capture, LLM gateway)
• Data Layer: PostgreSQL16 (persistent storage), Redis7 (cache/queues), APScheduler (background tasks)

1. Multi-engine Tracking: Monitors 11 engines (ChatGPT, Gemini, Sarvam AI, Krutrim, etc.) via Playwright automation to capture brand mentions.
2. Share of Model: Metrics = (brand mentions / total mentions) ×100, quantifying brand presence in AI responses.
3. AI Crawler Analysis: Parses server logs to identify AI crawlers (GPTBot, ClaudeBot) and optimize site structure.
4. AEO Audit: Evaluates URL readiness (content structure, schema markup, tech GEO, trust signals) and generates llms.txt suggestions.
5. LLM Routing: Tiered model usage (economic: Gemini Flash; standard: Claude Haiku; advanced: Claude Sonnet) with GitHub Copilot SDK for cost control.

• Language Support: 22 Indian languages + Hinglish/Tanglish via MuRIL model.
• Local LLMs: Integrates Sarvam AI, Krutrim, BharatGen.
• DPDPA Compliance: Data stored in AWS Mumbai (ap-south-1), user consent for data use, local data retention.
• Local Anchors: Uses NSE/BSE and Wikidata for brand info validation.

• Modular Design: Organized backend modules (api, core, models, etc.) for easy maintenance.
• Test Coverage: Pytest suite covers audit engine, crawler parsing, LLM cost calculation, etc.
• Docker Deployment: One-click setup with Docker Compose (PostgreSQL, Redis included).
• Open Source: Allows customizations and community contributions.

• Brand Marketing Teams: Adjust content strategies to boost AI visibility.
• SEO/GEO Agencies: Offer GEO services (audit, optimization) to clients.
• Indian Enterprises: Leverage local compliance and multi-language support for AI-era marketing.

ClickSupply marks the evolution from SEO to GEO, providing a complete方法论 (metrics, audit standards, optimization strategies). Its本土化 design makes it unique for India. As AI engines grow, GEO tools like ClickSupply will become essential. The open-source model enables global expansion and standardization of the GEO field.