AI Content Negotiation Layer

Stop burning agent token budgets on HTML noise.

Onto is an edge‑first infrastructure layer that sits in front of your React application. We extract semantic substance into compact Markdown payloads and serve those to AI agents via HTTP content negotiation—while preserving the full HTML experience for humans.

Run AIO (Agent Input Optimization) Audit
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10-100x
Payload Reduction
<15ms
Edge Routing Latency
100%
Human HTML Retained
The Widening Gap

The modern web is optimized for humans,
not AI agents.

When AI crawlers ingest modern React apps, token budgets are burned on layout, tracking scripts, Tailwind classes, and animation wrappers.

A new class of crawlers and IDE agents explicitly request Accept: text/markdown. Without a dedicated negotiation layer, you risk hallucinated discounts, outdated feature descriptions, and missing citations.

Comparison_Matrix
Human Rendering HTML/JS
~800KB payload
Agent Recognition Markdown
~8KB payload (Target)
System Architecture

Four layers of control.

Philosophically, Onto avoids creating a shadow web. We faithfully represent the same underlying content in multiple formats based on the consumer's ontology.

Lead Magnet

AIO Score Calculator

Public infrastructure to assess 'agent-friendliness' via HTML bloat vs semantic text analysis.

Build-time Engine

@onto/next Extractor

Traverses route trees, strips visual noise, and compiles semantic pages into pure Markdown/JSON.

Traffic Cop

Edge Middleware

Sub-15ms edge routing detecting GPTBot/Markdown headers to serve optimized payloads instantly.

SaaS Dashboard

Control Plane

Agent analytics and hidden prompt injection targeting AI logic without altering human UX.

Onto Logo

Standardize for the Agent Web.

Provision early access to @onto/next and the Edge Infrastructure core. We are onboarding technical docks and commercial storefronts first.