The full system that makes a brand legible to AI
Legibility, engineered.
Twelve modules, one job — making your brand findable, citable, and buyable by AI agents, and proving it.
How an AI agent reads your site
Most sites are invisible to agents.
Without Legible
<div id="root"></div> <script src="/app.js"></script>
- Entity
- unknown
- Extractable claims
- none
- Cited in AI answers
- no
With Legible
{ "@type": "Organization",
"name": "Acme Corp",
"sameAs": ["wikidata.org/Q…"],
"areaServed": "EU" }- Entity
- Acme Corp · grounded ✓
- Extractable claims
- 14 · supported
- Cited in AI answers
- yes
Fix Pack
Generated fixes, not advice.
Copy-paste JSON-LD, llms.txt, robots 2.0 and ai-facts — pre-filled for your site.
- JSON-LD entity & product schema
- llms.txt + robots 2.0
- ai-facts.json truth file
fix-pack.jsonld
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Acme Corp",
"url": "https://acme.com",
"sameAs": [
"https://www.wikidata.org/wiki/Q…",
"https://www.linkedin.com/company/acme"
],
"areaServed": "EU",
"foundingDate": "2019"
} Share-of-Voice
Are you in the answer?
Are you named in AI answers? Measured across Claude, ChatGPT, Perplexity & Gemini.
“best agent-readiness platform?”
1Competitor A
92%
2Competitor B
64%
3Competitor C
48%
4Your brand
18%
ChatGPT · Claude · Gemini · Perplexity
Entity grounding
One identity, everywhere.
Wikidata + sameAs identity graph so models agree on who you are.
Your brand
Wikidata
Wikipedia
LinkedIn
Crunchbase
sameAs · verified P856 match
What the index measures8 dimensions · 100 pts
- 01Structured dataValid JSON-LD across Organization, Product, FAQ — the one lever with proven citation lift.20%
- 02Entity consensusOne canonical description and a sameAs identity graph, identical everywhere.15%
- 03CitabilityAtomic, extractable claims a model can quote in a single sentence.15%
- 04Commerce readinessMachine-readable price, stock and policy — can an agent actually buy from you?15%
- 05Machine accessFast, render-free data; AI crawlers allowed; a sitemap to follow.10%
- 06Multilingualhreflang and per-locale parity — the sources AI cites differ by language.10%
- 07VerificationClaims backed by evidence and a clear publisher — the antidote to AI-washing.10%
- 08FreshnessRecency signals; citation churn punishes stale data.5%
The platform
01
Readiness Index
An 8-dimension score with band, multi-page crawl and platform detection.
02
Fix Pack
Copy-paste JSON-LD, llms.txt, robots 2.0 and ai-facts — pre-filled for your site.
03
Entity grounding
Wikidata + sameAs identity graph so models agree on who you are.
04
Hosted truth layer
A machine-readable doc agents read at a stable URL, kept current.
05
Share-of-Voice
Are you named in AI answers? Measured across Claude, ChatGPT, Perplexity & Gemini.
06
Per-locale visibility
DE / FR / IT / EN parity — visibility differs sharply by language.
07
Deep Audit
An agent's-eye qualitative read of legibility, claims and transactability.
08
Verification
Claims graded supported / vague / unsupported — your anti-AI-washing score.
09
Commerce readiness
Can an agent complete a purchase? A callable audit says yes / partial / no.
10
Agent-commerce manifest
Your machine-readable catalogue, pricing, availability and policy surface.
11
Protocols
ACP / UCP / MCP readiness so agents can transact, not just read.
12
Agent governance
Identify & verify AI crawlers (FCrDNS) into trust tiers; log every agent read.
How it worksscore · fix · serve · measure
01
Score
Paste a URL. We read your public site and grade 8 machine-facing dimensions into one Readiness Index.
02
Fix
Get a prioritized Fix Pack — copy-paste JSON-LD, llms.txt, robots and ai-facts, pre-filled for your site.
03
Serve
Publish a hosted truth layer and agent-commerce manifest that agents read directly, kept fresh.
04
Measure
Track Share-of-Voice across models and languages, verify claims, and watch verified agent traffic.