poly.ai — AI Search Visibility Report
Overall score: 75/100
AI search visibility analysis for poly.ai. LLMao scored poly.ai 75/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 75/100 — Professional and clear, though some enterprise jargon is used without immediate definition.
- schema_markup: 60/100 — Basic WebSite and WebPage schema present, but missing deep Product, FAQ, or Person schema.
- authority_trust: 70/100 — Strong social proof with enterprise logos and testimonials, but lacks individual author attribution and schema.
- citation_sources: 60/100 — Claims are backed by internal case studies, but lack external authoritative citations or primary source links.
- content_freshness: 90/100 — Content is highly recent with 2025 dates visible in the blog and metadata.
- content_structure: 85/100 — Excellent use of H1-H2 hierarchy and semantic HTML sections.
- entity_definition: 70/100 — Brand entity is clear, but lacks Person entities for leadership/authors.
- technical_accessibility: 80/100 — Good meta descriptions and social tags, but no specific AI crawler directives.
Top recommendations
- Expand Content-Specific Schema (Schema Markup): Implement detailed Product and Service schema for 'Agent Studio' and specific industry solutions to help LLMs understand the product catalog.
- Implement Author Profiles and Schema (Authority & Trust): Add author bylines and Person schema to blog posts and resources. Currently, content is unattributed, which weakens E-E-A-T for LLMs.
- Add Authoritative Outbound Links (Citation & Source Quality): Include external links to the original Forrester TEI report and other third-party data sources mentioned in the text to verify claims.
- Explicitly Allow AI Crawlers (Technical Accessibility): The robots.txt should explicitly allow GPTBot, ClaudeBot, and PerplexityBot to ensure full indexing by LLM crawlers.
- Improve Navigation for Long-Form Content (Content Structure): Add a Table of Contents or clear internal anchor links for long-form resource pages to improve LLM navigation.