What is GEO (Generative Engine Optimization)?

GEO stands for Generative Engine Optimization. It is the practice of optimizing your website to appear in AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, and Claude. Foglift is the first tool to combine SEO and GEO analysis in one scan.

What does Foglift analyze?

Foglift scans websites across 5 categories: SEO (meta tags, headings, Open Graph), GEO (AI-crawler access, structured data, citation-readiness), Performance (Core Web Vitals, load time), Security (HTTP headers), and Accessibility (WCAG compliance, contrast, alt text).

How is Foglift different from Ahrefs or Semrush?

Ahrefs and Semrush focus only on traditional SEO. Foglift is the first tool to combine SEO + GEO (AI search optimization) analysis, checking if your site is ready for AI-generated answers. It starts free and costs 10x less than alternatives.

Does Foglift have an API?

Yes. Foglift offers a free public REST API at foglift.io/api/v1/scan that returns JSON results. Developers can use it from the terminal, CI/CD pipelines, or AI coding assistants like Claude Code and Cursor.

What is structured data in SEO?

Structured data is code (usually JSON-LD) that you add to your web pages to help search engines understand your content better. It uses the Schema.org vocabulary to describe things like articles, products, events, FAQs, and organizations. Google uses it to generate rich snippets (star ratings, FAQ accordions, recipe cards) in search results.

Does structured data help with AI search results?

Yes. AI systems like Google AI Overviews, ChatGPT, and Perplexity use structured data to better understand your content and extract factual information. Pages with comprehensive schema markup are more likely to be cited as sources in AI-generated answers because the data is explicitly tagged and easier for AI to parse.

Which structured data format should I use?

Google recommends JSON-LD (JavaScript Object Notation for Linked Data) as the preferred format. It's easier to implement (just add a script tag), doesn't interfere with your HTML, and is simpler to maintain than alternatives like Microdata or RDFa. Nearly 100% of new structured data implementations in 2026 use JSON-LD.

What are the most important schema types for SEO?

The most impactful schema types for SEO are: Article (blog posts, news), Product (e-commerce), FAQPage (FAQ sections), HowTo (tutorials), LocalBusiness (local SEO), Organization (brand info), BreadcrumbList (navigation), and WebApplication (tools/apps). Each can trigger different rich snippet features in search results.

Structured Data Testing: How to Validate Schema Markup for SEO & AI in 2026

Test now: Use our Structured Data Tester to scan any URL for JSON-LD schemas, or our Schema Generator to create new structured data — both free, no signup required.

What Is Structured Data?

Structured data is machine-readable code that describes what your content is about. Instead of search engines guessing that "$29.99" on your page is a price, structured data explicitly tags it: "price": "29.99".

This helps search engines generate rich snippets (enhanced search results with star ratings, FAQ accordions, recipe cards, etc.) and helps AI systems extract precise facts for citations.

JSON-LD: The Recommended Format

Google, Bing, and most AI crawlers recommend JSON-LD. Here's what it looks like:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title",
  "author": {
    "@type": "Person",
    "name": "Author Name"
  },
  "datePublished": "2026-03-15",
  "description": "Article summary"
}
</script>

Advantages over Microdata/RDFa: doesn't mix with HTML, easy to add/remove, can include multiple schemas per page, and is easier for developers to debug.

Essential Schema Types for SEO & GEO

Article

Blog posts and news articles. Triggers article rich snippets with headline, image, and date.

Required: headline, author, datePublished

FAQPage

FAQ sections. Triggers expandable FAQ accordion directly in search results.

Required: mainEntity[].name, mainEntity[].acceptedAnswer

Product

E-commerce products. Shows price, availability, and review ratings in search.

Required: name, offers.price, offers.priceCurrency

LocalBusiness

Physical business locations. Powers Google Business Profile rich results.

Required: name, address, telephone

HowTo

Step-by-step tutorials. Shows steps directly in search results.

Required: name, step[].text

Organization

Brand/company info. Powers knowledge panel and brand search results.

Required: name, url, logo

BreadcrumbList

Navigation breadcrumbs. Shows site hierarchy in search snippets.

Required: itemListElement[].name, itemListElement[].item

WebApplication

Web tools and apps. Describes functionality and pricing for discovery.

Required: name, applicationCategory, offers

Structured Data and AI Citations

AI answer engines (Google AI Overviews, ChatGPT with browsing, Perplexity) increasingly rely on structured data to identify and cite sources. Here's why it matters for GEO:

✓

Explicit facts

JSON-LD makes facts machine-parseable. AI can extract your author name, publish date, prices, and ratings without guessing.

✓

Credibility signals

Organization and Person schemas with credentials help AI assess source authority for E-E-A-T.

✓

Content type clarity

AI knows the difference between an Article, Product review, and HowTo guide — and cites them appropriately.

✓

FAQ optimization

FAQPage schema structures Q&A pairs perfectly for AI to use in generated answers.

How to Test Your Structured Data

Use Foglift's Structured Data Tester

Enter any URL to instantly see all JSON-LD schemas found, validation status, and missing required fields.

Check Google's Rich Results Test

Google's official tool shows which rich result features your structured data is eligible for.

Validate with Schema.org Validator

The schema.org validator checks against the full specification for advanced validation.

Monitor in Google Search Console

The Enhancements section shows structured data errors and warnings across your entire site.

Common Structured Data Mistakes

✕Invalid JSON — missing commas, unclosed brackets, or trailing commas break the entire block
✕Missing @context — without "@context": "https://schema.org", the data has no meaning
✕Markup doesn't match visible content — Google penalizes if your schema data contradicts what users see on the page
✕Missing required fields — Article without headline, Product without price, FAQ without questions
✕Duplicate schemas — multiple Article schemas on the same page confuse crawlers

Frequently Asked Questions

Does structured data improve rankings directly?

Not directly. Google says structured data is not a ranking factor. However, it can increase click-through rates by 20-30% through rich snippets, and higher CTR can indirectly improve rankings. For AI search (GEO), structured data significantly improves citation likelihood.

How many schema types can I add to one page?

There's no limit, but only add schemas relevant to the page content. A typical blog post might have Article + FAQPage + BreadcrumbList. An e-commerce page might have Product + BreadcrumbList + Organization.

Should I use structured data on every page?

Yes — at minimum, add Organization schema site-wide and BreadcrumbList on all pages. Then add page-specific schemas: Article for blog posts, Product for product pages, FAQPage for FAQ sections. The more explicit information you provide, the better.

Does structured data help with AI search?

Absolutely. AI crawlers like GPTBot and ClaudeBot parse JSON-LD to extract facts, understand content type, and assess credibility. Pages with comprehensive structured data are significantly more likely to be cited in AI-generated answers.

Check your website's structured data & SEO

Our full website scan checks structured data, meta tags, performance, security, and GEO readiness — free.

Scan Your Website Free Test Structured Data