Question 1

What is JSON-LD schema markup?

Accepted Answer

JSON-LD (JavaScript Object Notation for Linked Data) is a structured data format that gives search engines and AI models explicit information about your webpage content. Google uses it for rich results. AI engines like ChatGPT, Claude, and Perplexity use it to disambiguate entities and decide what to cite.

Question 2

Where do I put the schema markup code?

Accepted Answer

Place the <script type="application/ld+json"> tag in the <head> section of your HTML page, or just before the closing </body> tag. Both work; head is preferred for predictable AI-crawler ingestion.

Question 3

How does this generator differ from a generic schema tool?

Accepted Answer

Generic generators emit syntactically valid JSON-LD. This generator also computes an AI Pickup Score that grades each schema for AI-engine pickup: identity completeness, entity disambiguation via mentions and sameAs, freshness signals like dateModified, citation richness, and type-specific completeness. Most validly-formed schema is invisible to AI engines because it skips the disambiguation fields. The score surfaces those gaps before you publish.

Question 4

What does the AI Pickup Score actually measure?

Accepted Answer

Five dimensions, 20 points each: (1) Identity (name and description present, sane lengths), (2) Entity disambiguation (sameAs, mentions, citation, or worksFor populated), (3) Freshness signal (dateModified for Article, openingHours for LocalBusiness, offers for Product), (4) Type completeness (the type-specific required fields), (5) Citation richness (image, author or brand, ratings, featureList). The dimensions reflect what AI engines documented as preferred extraction signals. This score is local to the schema generator, not the same as the Website Audit's AI Readiness Score.

Question 5

Why include SoftwareApplication schema?

Accepted Answer

Most schema generators skip SoftwareApplication. AI engines surface it heavily for software, SaaS, and developer-tool queries because featureList and mentions give them clean facts to cite. If you sell software and your competitors do not emit SoftwareApplication schema, you have a free disambiguation win.

Schema Generator

Local Business Schema

Generated Schema

Foglift AI Pickup Score

Valid Schema Is Not the Same As AI-Pickup-Ready Schema

Syntax check is table stakes

AI engines extract differently

Freshness is a citation signal

Related reading