SEO FriendGet cited by AI Overviews
Optimize for AIO, ChatGPT, Perplexity, and Claude.
Paste a URL → get a developer-ready checklist for AI-readable structured data and accessibility signals.
Be machine-readable
We generate and validate JSON-LD across your pages so search engines and AI agents "get" your content.
Be accessible to everyone
WCAG-based fixes that improve UX and reduce bounce—for humans and bots.
Be trusted
EEAT features (author bios, citations, policies) that lift credibility and click-through.
Why AI needs this
ChatGPT, Claude, and Perplexity parse structured data to cite sources. AI Overviews reward semantic HTML. GEO starts with markup that LLMs understand.
Structured data AI can cite
JSON-LD blocks that become facts in LLM answers. Schema types optimized for AI attribution and Google AI Overviews.
- Article, BlogPosting, NewsArticle (authorship + dates)
- FAQPage, HowTo (Q&A extraction for AI)
- Product, Offer, Review (e-commerce signals)
- Organization, Person (EEAT + authority)
- VideoObject, ImageObject (multimodal AI)
- Lynx-readable text (no JS-only content)
Semantic signals for context
AI systems use accessibility markup to understand page structure, relationships, and meaning—not just keywords.
- Heading hierarchy (document outline for AI)
- Semantic landmarks (content vs navigation)
- ARIA labels (context for UI elements)
- Alt text (image descriptions for LLMs)
- Form labels (data collection context)
- Text-only readability (Lynx test)
Accessibility, by the book
Accessibility best practices overlap with SEO wins. WCAG alignment improves UX signals and crawl clarity, helping both users and search engines understand your content.
Schema that earns rich results
Google prefers JSON-LD for structured data. Rich results correlate with higher CTR. We support every schema type that matters for your rankings and AI visibility.
Stable @id URIs, SSR rendering, validated against Google Rich Results Test.
How it works
Scan
Crawl your pages and extract existing schema + a11y state
Fix
Auto-generate missing JSON-LD and flag WCAG issues CRITICAL
Validate
Test against Google Rich Results + WCAG checkers
Monitor
Continuous checks for schema drift and new violations
Built on EEAT principles
Expertise & Experience
Real author bios, case studies with data, citations to WCAG and Google Search Central.
Authoritativeness & Trust
Editorial policies, privacy terms, contact details, methodology published openly.
Frequently Asked Questions
How does this help with AI Overviews (AIO)?
Google AI Overviews parse JSON-LD for facts, dates, and authorship. We ensure your structured data is valid, complete, and formatted for AI attribution. Clean semantic HTML increases your chances of being cited in AI-generated answers.
What is GEO (Generative Engine Optimization)?
GEO is optimizing content to be cited by ChatGPT, Claude, Perplexity, and other LLMs. It requires AI-readable structured data (JSON-LD), semantic HTML, clear authorship, and text content that works without JavaScript (Lynx test).
Do ChatGPT and Claude actually read JSON-LD?
Yes. When LLMs browse the web, they parse structured data to extract facts, verify dates, identify authors, and understand relationships. JSON-LD helps AI cite your content accurately instead of hallucinating details.
Why does accessibility matter for AI?
AI systems use semantic HTML (headings, landmarks, ARIA) to understand document structure and context—not just keywords. Alt text describes images to multimodal AI. Proper markup = better AI comprehension = higher citation chances.
What's the Lynx readability test?
Lynx is a text-only browser used to test if content exists in HTML source (not just JS-rendered). AI crawlers prioritize HTML-source content over JavaScript. If Lynx can't read it, many AI systems won't either. We check for meaningful text in initial HTML response.
How do I get cited in Perplexity or ChatGPT search?
Publish authoritative content with clear JSON-LD (Article, Person, Organization), use semantic HTML, include dates and author bios, add FAQ schema for Q&A extraction, and ensure text is in source HTML (not JS-only).
What schema types matter most for AI?
Article/BlogPosting (authorship + dates), FAQPage (Q&A extraction), HowTo (step-by-step AI answers), Person/Organization (EEAT), Product/Review (e-commerce), and VideoObject/ImageObject (multimodal AI search).
Can this help with ChatGPT citations?
Yes. ChatGPT web browsing parses structured data to verify facts and cite sources. Proper JSON-LD, clear authorship, publication dates, and semantic markup all increase your content's credibility and citation rate in LLM answers.