AI Visibility Guide
Learn what each metric means and how your AI visibility score is calculated.
Your AI visibility score is calculated from 12 weighted categories. Click each category to learn more.
Entity Clarity measures how well AI systems can understand WHO you are, WHAT you do, and WHO you serve. AI assistants need to clearly identify your business before they can recommend it to users. This includes your company name, core services, value proposition, and target audience.
Why it matters
AI assistants like ChatGPT need to clearly understand your business to recommend you. If your value proposition is unclear or buried, AI models will overlook your site when answering user questions.
Schema Markup uses JSON-LD format to provide structured data that tells search engines and AI models exactly what your content is about. This includes Organization, LocalBusiness, FAQPage, Product, and other schema types that help machines understand your business context.
Why it matters
Schema markup is the language AI models prefer for understanding structured information. FAQPage schema in particular has the highest citation rate in AI answers because it clearly formats questions and answers that AI can directly reference.
Content Structure evaluates how well your content is organized for both humans and AI. This includes proper heading hierarchy (H1 > H2 > H3), sufficient word count for depth, readability scores, meta descriptions, and the use of lists and formatting.
Why it matters
AI models use heading structure to understand content hierarchy and topic relationships. ChatGPT specifically ranks content by readability scores. Well-structured content with clear sections is more likely to be cited.
Trust Signals are indicators that demonstrate your website and content are credible and trustworthy. This includes security (HTTPS), transparency (contact info, about page), author credentials, privacy policies, and professional presentation.
Why it matters
AI models prioritize content from trustworthy sources. Google's E-E-A-T guidelines (Experience, Expertise, Authoritativeness, Trustworthiness) directly influence which content AI systems consider reliable enough to cite.
Citation Worthiness measures whether your content contains information worth citing. This includes specific statistics, original research, expert opinions, how-to instructions, comparisons, and unique insights that AI models would want to reference when answering questions.
Why it matters
AI assistants look for specific, factual content to cite in their responses. Pages with statistics, numbered lists, step-by-step instructions, and expert insights are far more likely to be quoted than generic marketing copy.
AI Crawler Access checks your robots.txt file to see if you allow or block AI-specific crawlers. This includes GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, Bingbot, Deepseekbot, and 7 more AI crawlers that index content for AI assistants.
Why it matters
If you block AI crawlers in your robots.txt, AI assistants cannot learn about your content and will never recommend your site. Many sites accidentally block these crawlers without realizing it.
External Validation looks for signs that other people and organizations vouch for your business. This includes awards, certifications, client testimonials, media coverage, Wikipedia mentions, case studies, and partner logos.
Why it matters
AI models use external validation as a signal of authority and trustworthiness. Businesses mentioned in Wikipedia are 10x more likely to be cited by AI. Testimonials and case studies provide social proof that AI considers when ranking sources.
Content Freshness evaluates when your content was last updated. This is determined by publication dates, modification dates, HTTP Last-Modified headers, and schema date properties. Fresh content signals relevance and accuracy.
Why it matters
Research shows that 76.4% of ChatGPT citations come from pages updated within the last 30 days. Outdated content is rarely cited because AI models prioritize current, relevant information.
FAQ Content checks for question-and-answer formatted content and proper FAQPage schema markup. Q&A content is ideal for AI assistants because it directly mirrors how users ask questions and provides clear, quotable answers.
Why it matters
FAQPage schema has the HIGHEST citation rate in AI answers. When users ask ChatGPT or Perplexity a question, content formatted as Q&A with proper schema is most likely to be quoted because it already matches the question-answer format.
Page Speed measures technical performance including Time to First Byte (TTFB), total page size, and caching configuration. While less important than content quality for AI visibility, slow pages may not be fully crawled.
Why it matters
While AI visibility focuses primarily on content quality, extremely slow pages may time out during crawling. Fast pages ensure AI crawlers can fully access and index your content without issues.
Image Optimization evaluates how well your images support AI understanding. This includes descriptive alt text (used by multimodal AI like Gemini), proper dimensions to prevent layout shifts, modern formats (WebP/AVIF) for faster loading, lazy loading for performance, and responsive srcset/sizes for mobile.
Why it matters
Multimodal AI models like Gemini and Google AI use image context alongside text. Descriptive alt text provides additional textual signals that AI can cite. Missing dimensions cause layout shifts that hurt crawl priority.
Sitemap Validation checks your sitemap.xml for proper structure and signals that help AI crawlers discover your content. This includes XML validity, URL count compliance (<50K per spec), lastmod dates for freshness signaling, and proper referencing in robots.txt.
Why it matters
A well-structured sitemap helps AI crawlers efficiently discover all your pages without relying solely on link following. The lastmod dates in sitemaps signal content freshness, which AI models prioritize when selecting sources to cite.