soundhound.com — AI Search Visibility Report
Overall score: 69/100
AI search visibility analysis for soundhound.com. LLMao scored soundhound.com 69/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — Content is clear and professional. Jargon like 'Agentic+' is used but contextually explained. Sentence length is optimal.
- schema_markup: 20/100 — No JSON-LD or Microdata was detected in the provided HTML snippet, which is a significant gap for LLM indexing.
- authority_trust: 65/100 — Strong social proof with brand logos and testimonials, but lacks clear author expertise and detailed trust pages on the homepage.
- citation_sources: 40/100 — Claims like '400+ patents' and '10B conversations' are made without direct links to verification sources or primary data.
- content_freshness: 80/100 — Metadata shows very recent updates (Jan 2026), though a visible 'last updated' date for users is missing.
- content_structure: 70/100 — Good use of H1 and H2, but lacks a Table of Contents and semantic HTML elements like <article> or <aside>.
- entity_definition: 60/100 — Brand consistency is high, but the lack of Person schema for leadership and a clear 'About' section on the homepage limits entity mapping.
- technical_accessibility: 90/100 — Excellent meta descriptions and social meta tags. Content is largely accessible, though robots.txt wasn't fully verified for AI bots.
Top recommendations
- Add JSON-LD Structured Data (Schema Markup): Implement comprehensive Organization and Product schema. The current site lacks structured data that helps LLMs identify the entity and its specific AI agent offerings.
- Establish Author Entities (Authority & Trust): Create dedicated author pages for blog posts and news releases. LLMs prioritize content with clear, expert authorship (E-E-A-T).
- Verify Factual Claims with Citations (Citation & Source Quality): Add inline citations or links to the 400+ patents and specific case study data mentioned. LLMs verify claims against external sources.
- Optimize AI Crawler Access (Technical Accessibility): Explicitly allow GPTBot and ClaudeBot in robots.txt to ensure full indexing of the latest product updates.
- Refine Heading Hierarchy (Content Structure): Improve heading hierarchy by ensuring H3 tags follow H2s logically. Currently, the structure jumps from H2 to body text in several sections.