Is your site ready for AIdiscovery?
Scan any investor relations site for AI discoverability, entity clarity, and financial extractability — in one pass.
15
Automated checks
4
Audit categories
< 60s
Typical scan time
Free
No signup required
What we check
Everything AI needs to find and understand your IR site
Fifteen checks across four categories — from crawler access and structured data to readability and financial extractability.
Machine Access & Governance
Can AI crawlers reach, read, and index your pages?
AI Bot Permissions
Verifies robots.txt allows GPTBot, Claude, and other crawlers
llms.txt
Checks for the emerging standard that guides AI models to your content
Server Rendering
Compares raw HTML vs rendered output so bots see real content
Load Speed
Measures initial response time — fast pages get crawled more often
Semantic Entity Integrity
Does AI understand who you are and who leads the company?
Financial Entity IDs
Finds tickerSymbol or leiCode in JSON-LD across IR pages
Official Identity Links
Checks JSON-LD sameAs links to SEC, Bloomberg, LinkedIn, or Wikipedia
Executive Authority
Detects CEO/CFO leadership via Person schema, page text, or Gemini
Knowledge Graph Presence
Validates Organization schema and corporate identity signals
Financial Extractability
Can AI pull numbers and answers from your investor content?
Financial Data Extractability
Finds HTML tables and stat/KPI blocks with revenue, EPS, and related metrics
Modular Answer Chunks
Detects self-contained investor answer sections under financial headings
FAQ Schema
Checks FAQPage JSON-LD and investor-relevant Q&A content
Linguistic Precision
Is your investor language clear, readable, and direct?
Reporting Period Clarity
Scans merged IR text for specific periods (Q1 2025, FY 2024) vs vague phrases
Readability Score
Flesch-Kincaid grade level on base IR pages — target grade 6-8
Active Voice Ratio
Gemini-powered passive-voice detection — needs more than 90% active sentences