responsive.io — AI Search Visibility Report
Overall score: 84/100
AI search visibility analysis for responsive.io. LLMao scored responsive.io 84/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 80/100 — Professional and clear, though some industry jargon (RFXs, VSQs) is used without immediate definition.
- schema_markup: 95/100 — Comprehensive JSON-LD including Organization, WebSite, SoftwareApplication, and VideoObject.
- authority_trust: 85/100 — Strong social proof with Fortune 100 mentions and G2 ratings, but lacks direct links to editorial standards.
- citation_sources: 60/100 — Claims are specific and attributed to customers, but lack outbound links to primary data or third-party review sites.
- content_freshness: 95/100 — Excellent freshness signals with a 2026 modification date and 2025 report mentions.
- content_structure: 80/100 — Good use of semantic HTML and organization, though some heading levels are skipped.
- entity_definition: 85/100 — Strong Organization schema and consistent branding, but lacks Person schema for authors/advocates.
- technical_accessibility: 90/100 — Excellent meta descriptions and social meta; content is highly accessible.
Top recommendations
- Verify Third-Party Social Proof (Citation & Source Quality): Add external links to the G2 and Capterra review pages mentioned in the metrics section to verify the 4.5/4.6 ratings.
- Add Person Schema for Testimonials (Entity Definition): Implement Person schema for the featured customer advocates (e.g., Carrie Jordan, Autumn Wenner) to strengthen entity relationships.
- Fix Heading Hierarchy Gaps (Content Structure): Ensure the H1-H3 hierarchy is strictly followed. The current structure jumps from H1 to H3 in the solutions section.
- Define AI Transparency Standards (Authority & Trust Signals): Create a dedicated 'Editorial Standards' or 'AI Ethics' page to define how the 'Responsive AI' generates content and handles data.