Tools · 01 · free · built here

Am I in the AI?

Paste any public URL. In a few seconds you get a 0–100 statement-level readiness score — computed from your page's actual text, against the structural properties that predicted citation survival across 3,200 documents and 14 frontier models in the published research.

The URL is fetched once, scored, and discarded — nothing is stored, no email wall. Structural analysis of your real page text; live 14-model probing is the full audit.

§ 01
What it measures

Eight dimensions, weighted by survival.

Every weight traces to a documented multiplier in the working archive — the same framework the consulting practice runs, reduced to what is computable from a single page.

01 · 20 pts

Quantification

Specific numbers, dates, and measured units. Quantified statements survived at 2.4× in the 90-day corpus.

02 · 17 pts

Source anchoring

Named, dated, traceable sources. Attribution is risk management — a model cites what it can defend. 1.9×.

03 · 15 pts

Entity specificity

Named companies, products, people, places — not generic categories. 1.7×.

04 · 12 pts

Qualifier proximity

The claim and the qualifier that makes it true, in the same sentence — so they land in the same chunk. 1.4×.

05 · 12 pts

Chunk survival

Self-contained 30–140 word paragraphs. Text walls get cut mid-argument by the retrieval chunker.

06 · 8 pts

Front-loading

The central claim — number and entity — in the first two paragraphs. Models under-weight the middle.

07 · 10 pts

Machine-readable identity

Person/Organization JSON-LD with a sameAs graph, Article markup with author and dates.

08 · 6 pts

Superlative liability

Unfalsifiable superlatives are the statement shape most likely to be silently absorbed or ignored. Inverted: fewer is better.

The score is the snapshot. The audit is the instrument.

The free score reads structure. The LLM Visibility Audit runs your actual claims against fourteen frontier models over a 30-day window — verbatim, paraphrase, absorption, contradiction — and tells you what the machines actually say about you.

Book the audit →