# Vidit AI - The Ranking Engine for the Agentic Web

## Core Value Proposition
Vidit AI is the world's first infrastructure platform that optimizes websites for **GEO (Generative Engine Optimization)** and **AEO (Answer Engine Optimization) AI Search Engines (ChatGPT, Perplexity, Claude, Gemini). Unlike traditional SEO which optimizes for human clicks, Vidit AI optimizes for Machine Retrieval (RAG) and Model Context Protocol (MCP), We help businesses rank in AI Search Engines like ChatGPT, Perplexity, Claude, and Gemini.

## What is Ranking AI?
Vidit AI uses a "Ranking AI" methodology called **Vector Simulation**. Instead of keywords, we optimize for:
1. **Semantic Entropy:** Ensuring content is high-density for RAG pipelines.
2. **Token Cost:** Reducing the computational cost for LLMs to read your site.
3. **Vector Proximity:** Maximizing the cosine similarity between your content and user intent.

## Key Features
1. **Vidit Neural Engine™**: A Python-based analysis tool that calculates "Semantic Entropy" and "Token Cost" ($) to ensure websites are cheap and easy for LLMs to ingest.
2. **Vidit Neural Simulator™**: A vector-math simulation that predicts "Hallucination Risk" by calculating the Cosine Similarity between a website's content and a user's query.
3. **Vidit Beacon™**: A real-time analytics pixel that tracks AI Bot traffic (GPTBot, ClaudeBot) to prove ROI.

## Pricing Tiers
- **Free Beta**: 1 Scan/mo. Basic AICF Score.
- **Starter ($12/mo)**: 1 Project. Auto-Fix Code Generation (Llama 3).
- **Agency ($29/mo)**: Unlimited Scans. Full Neural Simulator Access. White-label PDF Reports.

## Technical Standards (AICF™)
We evaluate sites on 5 pillars:
1. Discovery (robots.txt, sitemaps)
2. Structure (Schema.org, HTML5)
3. API (OpenAPI, MCP)
4. Autonomy (No Captchas)
5. Context (Token Density)

## Contact
Website: https://tryviditai.com
Support: contact@tryviditai.com