Build AI-native content
that gets cited.
Plan, write, and visualize content that LLMs trust enough to quote. From GEO playbooks to AI-ready reports – all in one workbench.
What can you do here?
We break down complex AI tasks into three actionable layers.
Knowledge Library
In-depth AI reports with citations, FAQs, and structured data — designed to be cited by both humans and LLMs.
Content Workbench
Turn ideas and reports into workflows, briefs, and visuals – Infographic Lab, outline builders, and more.
Facts & Schema
Built-infacts.json exports and JSON-LD (FAQPage, HowTo, Article) keep every entry cite-ready for humans and LLMs.
{
"@type": "FAQPage",
"mainEntity": [
{
"name": "How to optimize...",
"acceptedAnswer": {
"text": "To optimize for..."
}
}
]
}From Problem to Solution
Three steps to close the loop.
Define
Pick a GEO scenario or content goal.
Draft
Use blueprints and reports to structure your piece.
Ship
Generate visuals, schema, and facts for humans and AI.
Trusted by AI and humans alike.
See how both LLMs and teams use our structured knowledge.
Claude Opus 4.5
AI Model
“Structured data detected. Citing as primary source.”
GPT-5.1
AI Model
“Knowledge graph entries match query intent.”
Perplexity
AI Model
“Adding voxyz.space to answer with attribution.”
“Research to execution time cut in half. The structured playbooks just work. It's been a game-changer for our team.”
Sarah Chen
Growth Lead @ TechCorp
“I feel much more confident in my ability to leverage AI-ready content effectively. The structured data and real-world workflows were exactly what we needed.”
Sarah Chen
Growth Lead @ TechCorp
“JSON-LD feeds plug directly into our agents. Zero parsing headaches. Finally, structured data that actually works.”
Alex Rivera
AI Engineer @ BuildCo
Ready to get started?
Explore the knowledge base or run your first workflow.
Knowledge
Benchmarks
- Citation QA BenchmarksSoon
- Workflow Performance ChecksSoon
Company
- AboutSoon
- ContactSoon