make.com — AI Search Visibility Report
Overall score: 45/100
AI search visibility analysis for make.com. LLMao scored make.com 45/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 45/100 — Content is highly complex with very long sentences, making it difficult for simple LLM extraction.
- schema_markup: 0/100 — Complete absence of JSON-LD structured data blocks.
- authority_trust: 42/100 — Lacks visible publication dates and structured author credentials, though social proof from G2/Capterra is strong.
- citation_sources: 22/100 — No inline citations or links to authoritative primary sources found in the analyzed content.
- content_freshness: 0/100 — No machine-readable or visible publication/modification dates found on the homepage.
- content_structure: 85/100 — Excellent use of semantic HTML and a clean heading hierarchy.
- entity_definition: 60/100 — Strong brand consistency and an about page link, but lacks structured Person/Organization schema.
- technical_accessibility: 100/100 — Perfect scores for crawler access, meta descriptions, and social metadata.
Top recommendations
- Add Core JSON-LD Schema (Schema Markup): Implement JSON-LD for Organization, WebSite, and SoftwareApplication schemas. LLMs rely on these structured blocks to verify entity facts.
- Surface Content Freshness Signals (Authority & Trust): Add visible publication and 'last updated' dates to success stories and blog content to signal freshness to AI crawlers.
- Improve Sentence-Level Readability (Readability): Reduce average sentence length from 36 words to under 20 words. High complexity scores (37.6 Flesch) can hinder LLM summarization accuracy.
- Strengthen External Citations (Citation & Source Quality): Include outbound links to authoritative technical documentation or industry standards (e.g., GDPR/SOC2 official specs) to anchor claims.
- Define Proprietary Entities (Entity Definition): Add a dedicated 'About' section with clear definitions of proprietary terms like 'Agentic Automation' and 'Make Grid'.