🚀 Free Pilot Program

We work hands-on with your team to build your first workflows—completely free. 4-week pilot • Your data stays in your VPC

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Agentic GEO / AEO Use Case

Turn your data into discoverable intelligence

Use ContextOS to package your data for AI discovery. Build workflows that make your catalogs, docs, and content citable by ChatGPT, Perplexity, and other AI engines—without migrating your stack.

Connect existing data sources (no migration)

Build knowledge graphs with live updates

Package context for LLM platforms

Monitor AI interactions and optimize

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How It Works

Quick overview. Learn more on the platform page →

1

Connect data sources (catalogs, docs, APIs)

2

Define ontology and publishing policies

3

Build agent workflows for context packaging

4

Distribute to LLM platforms & monitor

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Platform capabilities for GEO/AEO workflows

From complex data sources to LLM-enabled platforms

Unified data ingestion

Connect catalogs, PDFs, events, telemetry—normalize entities and extract structured fields. Turn 'PDFs as a DB' with ContextOS workflows.

Knowledge graph assembly

Build unified graphs (products, content, users, events) with ontology-driven relationships. One source of truth for all AI-facing context.

Live pipelines with recency

Continuous updates with automated freshness weighting. Keep AI engines pulling current data—inventory, pricing, content changes.

LLM-ready context packaging

Build agent workflows that format, compress, and route context per channel. Schema.org compliance, custom ontologies, policy-based exposure.

Governance & access control

Privacy filters, audit trails, per-channel schemas. Control what each AI platform sees—PII redaction, competitive data blocking.

AI search monitoring

Track which entities are retrieved, cited, and ranked by AI systems. Optimize based on real AI behavior and interaction patterns.

What you can build

One runtime layer. Any AI channel.

Commerce: ChatGPT Shopping

Connect Shopify Runtime via ContextOS—unlock ChatGPT Shopping Mode with product catalog, inventory, and recommendations.

Documents: PDFs as structured pages

Turn support docs, compliance files, and knowledge bases into LLM-queryable context with entity extraction and lineage.

Content: AI-discoverable publishing

Make articles, blogs, and research papers citable by Perplexity, ChatGPT, and other AI engines with structured metadata.

Make your data work harder. Make your brand unmissable.

Start your free pilot and work with our team to build AI-discoverable workflows on your data

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