What is VECTORY?
VECTORY is an adversarial AI visibility engine designed to optimize brand visibility across AI answer engines like ChatGPT, Gemini, and Perplexity. It addresses the limitations of traditional SEO by providing a full AI visibility stack that includes measurement, optimization, and content generation. The platform uses a proprietary 4-stage pipeline to reverse-engineer how AI models extract and cite information, then engineers content to dominate those pathways.
The solution deploys technologies such as Schema.org JSON-LD, llms.txt protocol, MCP manifests, and AI Magnet Pages to enhance discoverability. VECTORY offers a single comprehensive package that includes free audits, optimization packs, and subscription-based management, making it a powerful tool for businesses seeking to improve their AI search presence.
Features
- Proprietary 4-Stage Pipeline: Intake, Sonar, Fabricator, and Deploy stages for comprehensive AI visibility optimization
- Neural Visibility Score (NVS): Composite metric (0-100) quantifying brand visibility across AI answer engines
- AI Magnet Pages: Specialized content pages engineered with fact-density scoring for preferential extraction by AI models
- Multi-LLM Sonar Scan: Simulates queries across ChatGPT, Gemini, and Perplexity to map citation gaps and measure share of voice
- Full AI Visibility Stack: Combines measurement (NVS, SOV, GAP), optimization (AI Visibility Layer), and content generation in one engine
Use Cases
- Optimizing existing websites for AI citation without disrupting Google SEO performance
- Generating AI-optimized content through AI Magnet Pages for improved extraction by language models
- Building AI-native websites from scratch with semantic HTML5 and structured data for zero-shot crawling
- Monitoring and improving brand visibility across multiple AI answer engines like ChatGPT and Gemini
- Conducting free AI visibility audits to analyze citation gaps and competitor benchmarking
FAQs
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What is the difference between AEO, GEO, AIO, and traditional SEO?
Traditional SEO optimizes for Google search rankings. AEO (Answer Engine Optimization) structures content for direct extraction by AI answer engines. GEO (Generative Engine Optimization) improves the probability of brand recommendations in generative AI responses. AIO (AI Index Optimization) ensures consistent technical entity data for AI crawlers. VECTORY combines all four disciplines into a unified optimization platform. -
What is the Neural Visibility Score (NVS)?
Neural Visibility Score (NVS) is VECTORY's proprietary composite metric that quantifies how visible your brand is across AI answer engines. It combines Share of Voice (SOV), Semantic Similarity (SIM), citation frequency, and recommendation positioning into a single 0-100 score, measured across ChatGPT, Gemini, and Perplexity simultaneously. -
How is VECTORY different from competitors?
VECTORY is an Adversarial Engine that actively generates ready-to-deploy optimization artifacts, unlike passive monitoring tools. It combines measurement and remediation in a single pipeline, generating complete packages including optimized content, Schema.org markup, llms.txt, MCP manifests, and technical deployment artifacts. -
What is the llms.txt file and why do I need it?
llms.txt is an emerging standard (similar to robots.txt) that provides a structured manifest for AI language models to understand your website's content, topics, and capabilities. VECTORY automatically generates optimized llms.txt files to maximize discoverability by AI crawlers from ChatGPT, Gemini, Perplexity, and other LLMs. -
Can I get a free audit first?
Yes, the initial audit report is completely free with no commitment. It analyzes your AI visibility across ChatGPT, Gemini, and Perplexity, calculates your NVS, SOV, and GAP scores, and delivers a comprehensive report to help decide if VECTORY is the right fit.
