Search Engine Metadata
15 pts
HTML Title Tag
Verifies title tag presence and optimal length (10-70 characters) for clean search snippet rendering.
Primary ranking signal and click trigger in search results.
SEO & AI Search Discovery Audit
SEO scanner
Comprehensive SEO scanner for metadata indexing, OpenGraph rich previews, and visibility across search engines and AI answer engines (GEO & AEO).
What Does This Scanner Audit?
An open, public utility to analyze any page for search engines and generative AI answer engine discovery across 7 core dimensions:
Search Engine Metadata
15 pts
Meta Description
Audits meta description length (50-165 characters) for informative Google snippet previews.
Provides searchers and AI bots with a concise summary.
Search Engine Metadata
10 pts
Canonical Link Tag
Checks rel=canonical tag to prevent duplicate content penalties and consolidate page authority.
Essential for guiding crawlers to the authoritative URL.
Social & Rich Previews
15 pts
OpenGraph Protocol Tags
Verifies og:title, og:image, and og:description for rich card previews on social platforms.
Maximizes engagement when shared on messaging and social apps.
Structured Data (Schema.org)
15 pts
Schema.org JSON-LD
Detects structured JSON-LD data enabling rich Google snippets and AI entity disambiguation.
Core requirement for Generative Engine Optimization (GEO).
Technical & Accessibility
15 pts
Mobile Viewport & H1 Structure
Ensures mobile-first viewport configuration and authoritative primary <h1> heading structure.
Fundamental for user experience and Core Web Vitals.
AI Discovery & GEO
15 pts
LLM-Native File (/llms.txt)
Inspects the origin for a published /llms.txt Markdown summary tailored for LLM grounding.
Modern emerging standard for AI-assisted search engines.
Search Engine (SEO) & AI Discovery (GEO/AEO) Best Practices
Modern search engines and AI models require an integrated strategy for indexing, entity recognition, and citation grounding:
1. AI Crawler Accessibility
Allowing OAI-SearchBot, PerplexityBot, and ClaudeBot in robots.txt ensures your site is cited accurately in real-time AI responses.
2. Publish /llms.txt Standard
Providing a clean /llms.txt markdown file helps large language models understand your core products and APIs without crawler noise.
3. Entity Graph (Schema.org)
Embed Schema.org JSON-LD structured data with sameAs links to establish your brand entity in Google and AI Knowledge Graphs.
4. Server-Side Rendering (SSR)
Delivering primary content in initial server HTML ensures lightweight AI search crawlers index your text without JS rendering penalties.