Organization & WebSite
Declares canonical brand name, official website URL, logo asset, and social proof links, eliminating confusion between products and founders.
Brand entity and Schema checker
Inspect JSON-LD structured data on your public homepage and download a structured diagnosis. This tool verifies presence and declared Schema.org types.
Observed JSON-LD
Core Schema types for generative search
Structured data helps LLMs connect ambiguous brand mentions with authoritative entity attributes and official features.
SoftwareApplication / Product
Provides pricing tiers, operating systems, and feature sets in machine-readable format, directly feeding generative comparison answers.
FAQPage & HowTo
Structures procedural and informational content so retrieval engines extract verified answers verbatim without hallucinations.
More free GEO utilities & guides
AI Crawler Access Checker →
Test your robots.txt against GPTBot, PerplexityBot, and ClaudeBot.
llms.txt Generator →
Generate and validate your official /llms.txt discovery file.
Brand Fact Library Guide →
How to organize verified facts and prevent AI hallucinations.
Content Extractability Audit →
Best practices for passages, tables, and structured data.
Frequently asked questions
Why does Schema.org markup matter for AI search?
Answer engines like Perplexity, ChatGPT, and Google Gemini ingest structured JSON-LD data to connect brand entities, product capabilities, official pricing, and author expertise into factual knowledge graphs.
Which Schema types are most important for SaaS and brands?
Organization (official company identity and logo), SoftwareApplication or Product (features and offers), FAQPage (direct question-answer extraction), and Article (editorial authority and dateModified).
Can Schema markup compensate for missing text on the page?
No. Google and AI search engines enforce that structured data must match visible on-page content. Hidden or unsupported markup can result in manual penalties or extraction disregard.