vapi.ai — AI Search Visibility Report
Overall score: 68/100
AI search visibility analysis for vapi.ai. LLMao scored vapi.ai 68/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — Highly readable for a technical audience. Clear active voice and good sentence length.
- schema_markup: 50/100 — Basic metadata is present, but advanced JSON-LD for Product, FAQ, or Organization is missing from the analyzed snippet.
- authority_trust: 65/100 — Strong social proof with enterprise logos and testimonials, but lacks a dedicated About page and clear author credentials for technical content.
- citation_sources: 40/100 — Lacks external citations and primary source links. Claims are made without verifiable external data points.
- content_freshness: 40/100 — No visible publication or modification dates on the homepage. Recency is inferred but not explicitly signaled.
- content_structure: 90/100 — Excellent use of H1-H3 hierarchy and semantic sections. Code blocks and feature lists are well-organized.
- entity_definition: 60/100 — Brand consistency is high, but the lack of an About page and Person schema for leadership limits entity depth.
- technical_accessibility: 95/100 — Excellent technical SEO with full social meta tags and descriptive meta descriptions. Content is likely accessible.
Top recommendations
- Add Product & SoftwareApplication Schema (Schema Markup): Implement detailed Product and SoftwareApplication schema to help LLMs understand pricing, features, and technical requirements.
- Create Dedicated About Page (Authority & Trust): Add a dedicated 'About Us' page with founder details and company history to strengthen the Organization entity.
- Increase Outbound Technical Citations (Citation & Source Quality): Include external links to technical documentation of integrated partners (e.g., OpenAI, Deepgram) to build outbound authority.
- Expose Content Update Signals (Content Freshness): Add 'Last Updated' dates to the homepage or blog previews to signal content recency to LLM crawlers.
- Implement Technical Glossary Schema (Entity Definition): Define technical terms like 'latency', 'hallucination risks', and 'tool calling' in a glossary or FAQ section.