# Onto — AI is reading your website wrong.
> Onto serves clean Markdown to AI agents instead of HTML noise. Same content, right format. One line of code. No changes to your site.

**Source:** /index
**Extracted:** 2026-03-25T16:51:29.477Z

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Onto SDK Alpha is live

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Waitlist is open.[Get Early Access →](#waitlist)

Vercel Validated. Cloudflare Validated.

# AI is reading your website wrong.

Modern websites are built for human eyes — not AI agents. When GPTBot, ClaudeBot, or Perplexity crawls your site, it gets back hundreds of kilobytes of Tailwind classes, tracking scripts, and layout divs.

The result: AI agents hallucinate. Wrong prices. Outdated features. Missing citations.

Onto fixes this. We sit at the edge of your site and serve clean, accurate Markdown to AI agents — the same content, the right format. One line of code. No changes to your site.

Run AIO (Agent Input Optimization) Audit

\>SCAN

[Get Early Access](#waitlist)

205 Sites Scanned

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Avg Score: 29/100

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Token Waste Detected: 1.42 GB

10-100x

Payload Reduction

<15ms

Edge Latency

100%

Human experience preserved

The Widening Gap

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

A typical Next.js page is 800KB. The useful content inside it? Around 8KB. The other 792KB is CSS framework classes, JavaScript bundles, animation wrappers, and tracking scripts — none of which helps an AI agent understand what your product does or what it costs.

AI crawlers don't skip the noise. They read all of it. And when your content is buried inside React boilerplate, they fill in the gaps — with whatever sounds plausible. That's how hallucinations happen.

This isn't a content problem. It's a format problem. And nobody had built the infrastructure layer to fix it — until now.

Performance\_Index

Human Browser

HTML/JS

~800KB PAYLOAD

AI Agent Environment

Markdown

~8KB (OPTIMIZED)

VALIDATION\_CASE // CORE\_RESULT

## We proved it works. On our own site.

Standard\_Web\_Protocol

Before Onto: Gemini couldn't accurately return our own scoring formula. It hallucinated the weights and pillar names.

AIO Score

50/100

React Tax

91.6%

Waste

92%

Onto\_Optimized\_Layer

After installing the Onto SDK: Gemini returned our formula perfectly — exact weights, exact pillar names, zero hallucination. Same content. Right format.

AIO Score

80/100

React Tax

0.0%

Waste

0%

Verification\_Successful

Onto SDK v1.0.4-Edge

System Architecture

## Four layers. One install.

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

CORE\_LAYER\_01

ENTRY\_VECTOR

### AIO Score Calculator

Free. Instant. Enter any URL and get your full AI‑readiness report — React Tax percentage, semantic richness score, and content negotiation check. See exactly what AI agents are receiving from your site right now.

State: Production\_Stable

CORE\_LAYER\_02

PROVISIONING\_ENGINE

### @ontosdk/next Extractor

Open‑source Next.js plugin. Installs with one line. At build time, it traverses your route tree, strips visual noise, and compiles every page into clean Markdown and JSON. No runtime overhead.

State: v1.0.4\_Released

CORE\_LAYER\_03

ROUTING\_LAYER

### Edge Middleware

The traffic cop. Detects AI agents via Accept headers and User-Agent strings in under 15ms. Routes them to your pre‑compiled Markdown payloads. Human visitors get the full HTML experience — untouched.

State: Enterprise\_Ready

CORE\_LAYER\_04

SaaS Dashboard

### Control Plane

Coming Q3 2026. See which AI agents are crawling your site, what they're accessing, and control exactly what they receive. Per-route context injection, agent analytics, brand tone controls.

State: In\_Development

SECTOR\_ANALYSIS // VALIDATION

## The industry already validated the thesis.

The core thesis of Onto is aggressively validated by recent research on LLM context windows and infrastructure moves by major hosting providers.

[

~99%

Payload Reduction

### Vercel

Serving Markdown to AI agents reduces payload size by ~99%. Complex React pages drop from hundreds of KBs to a few KBs of pure Markdown.



](https://vercel.com/blog/making-agent-friendly-pages-with-content-negotiation)[

0.0

Hallucination Mitigation

### Anthropic Research

Token noise — the ratio of irrelevant boilerplate to semantic text — directly degrades a model's ability to extract accurate facts.



](https://arxiv.org/abs/2307.03172)[

$$$

WAF Evasion Avoidance

### Cloudflare

Their Markdown for Agents feature converts HTML to Markdown at the edge — positioning AI crawlers as first-class citizens.



](https://blog.cloudflare.com/markdown-for-agents/)

The infrastructure need is proven. Onto is how you implement it today.

![Onto Logo](/logo.png)

Platform\_Access: Enterprise\_Beta\_v1

## Your site is losing AI traffic right now.

Check your AIO score in 10 seconds. See exactly what AI agents receive when they visit — and what they could get with Onto.

$

Get Early Access

Early Access: 28 Waiting

---
## Structured Data (JSON-LD)
```json
{
  "@context": "https://schema.org",
  "@type": "AboutPage",
  "name": "About Onto",
  "url": "https://www.buildonto.dev/",
  "description": "Onto serves clean Markdown to AI agents instead of HTML noise. It solves the React Tax by intercepting AI bot traffic and serving optimized content at the Edge."
}
```