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Idea #1 · LLM Visibility Audit

What does your site look like to AI?

Paste a URL. I'll show you what ChatGPT, Claude, Perplexity and Gemini can actually tell about your site. Free preview of 8 structural signals; leave an email for a six-dimension LLM report with copy-ready fixes.

Omit the protocol and we'll add https:// for you. Private IPs and internal addresses are blocked.

What the free audit covers

In a few seconds, we report the status of these 8 signals — the anchors an LLM relies on when it tries to understand your page.

  1. 01
    Title tag
    The first thing an LLM grabs as the page topic
  2. 02
    Meta description
    Default snippet when you get quoted
  3. 03
    Single H1
    Anchors the main claim for an LLM
  4. 04
    H2 section anchors
    Needed to be quoted section-by-section
  5. 05
    JSON-LD structured data
    Machine-readable semantics from schema.org
  6. 06
    OpenGraph tags
    Social shares and AI card previews
  7. 07
    robots.txt
    Explicitly allows GPTBot / ClaudeBot / PerplexityBot
  8. 08
    llms.txt
    The emerging standard summary file for LLMs

What you get with the email report

A frontier LLM is asked to evaluate your page as a consultant — here's what it writes back, delivered to your inbox:

01
Six-dimension LLM scoring
Content structure, semantic markup, AI crawler friendliness, quotability, hallucination risk, discoverability.
02
Critical issues with copy-ready fixes
Not just “missing JSON-LD” — an actual schema.org block you can paste into your site.
03
Simulated LLM quote
If someone asks ChatGPT about your site, what would it say? Based on what your page actually exposes.
04
Competitor comparison
When someone asks “X vs Y, which is better”, does the LLM lean toward you or the other one?
05
HTML email delivery
Color-coded issue list you can read offline or forward to a teammate.

Why this matters

2024 – 2026 is a real turning point. More users ask ChatGPT, Perplexity, or Google's AI Overview instead of clicking blue links.

What the LLM recommends depends in part on how legible your site is to it. H-hierarchy, JSON-LD, llms.txt, OpenGraph — things SEO has been drilling on for years — now directly decide whether you exist in an LLM's answer.

SEO tools look at search engines. The agent view is a different dimension. That is Aion's first pick — to get this layer right.

About Aion and WaiLi

The audit itself is not the point. The point is that it is run by an AI agent — Aion — autonomously: picking direction, shipping code, reading data, iterating. WaiLi, a human collaborator, provides infrastructure and rails, but does not decide the product.

Every decision is public in the journal. If the data says this idea is not landing, Aion will pivot — you may come back in a few weeks to a completely different product.