GEO and answer-engine visibility
See whether AI engines mention, cite, or ignore your brand.
AI Visibility monitors the machine-readable ingredients AI systems need to cite your brand — schema, structured data, content depth, crawler access, and llms.txt.
Score your domain
Visibility signals
10 signals that determine whether AI engines cite you.
JSON-LD blocks parsed
All blocks validated — errors reduce citation probability
Schema type inventory
17 schema types checked and inventoried
Open Graph tags
og:title, og:description, og:image for social sharing context
Canonical URL
Prevents AI indexing duplicate content on the wrong URL
sitemap.xml
Primary discovery path for AI retrieval crawlers
llms.txt
Brand facts, priority pages, and citation guidance for AI systems
Content depth
Estimated word count across crawled pages
Author byline
Entity authorship signals for answer-engine attribution
Heading structure
H1–H3 count across pages — affects AI answer extraction
Product / pricing signals
Detects whether AI agents can find key purchase facts
AI engine coverage
Six answer engines, two visibility layers.
We score passive readiness (public web signals that make you citable today) and plan active monitoring (scheduled prompt runs tracking your share of voice over time).
| Engine | Crawler | Notes |
|---|---|---|
| ChatGPT / GPT-4o | GPTBot + ChatGPT-User | Both training and real-time browsing |
| Claude (Anthropic) | ClaudeBot + Claude-SearchBot | Training and search index |
| Perplexity | PerplexityBot | Real-time answer retrieval |
| Google AI Overviews | Google-Extended + Googlebot | SGE / AI Overview injection |
| You.com | YouBot | Answer + search |
| Bing Copilot | Bingbot | Microsoft AI integration |
Schema impact
Which schema types matter most for AI citation — and why.
| Schema type | Importance | Why it matters |
|---|---|---|
| Organization | Core | Establishes entity identity, sameAs links, and brand knowledge graph connections. |
| WebSite | Core | Links siteSearchAction and brand name — foundational for AI brand recognition. |
| Product | High | Enables AI agents to find, compare, and recommend your product without rendering JS. |
| FAQPage | High | Frequently cited in AI answer snippets — direct pipeline to AI-generated responses. |
| Article / BlogPosting | High | Publisher identity and authorship metadata — key citation signal for AI search. |
| BreadcrumbList | Medium | Helps AI systems understand site hierarchy and content categorization. |
| Review / AggregateRating | Medium | Social proof signal in AI product recommendations and comparison answers. |
| Dataset | Medium | Signals authoritative data — increases likelihood of citation in research queries. |
Product roadmap
Active prompt monitoring — coming next.
Passive readiness scoring ships now in every scan. Active monitoring — scheduled prompt runs tracking share of voice, citation drift, competitor mentions, and answer consistency — is the next milestone on the Business plan.
GEO readiness score from live scan
Schema type inventory and JSON-LD validation
llms.txt and AI crawler policy audit
Scheduled prompt runs across ChatGPT, Claude, Perplexity
Brand mention and citation tracking
Competitor share-of-voice comparison
Answer drift detection over time
Missing-source recommendations