AI search visibility report · 2026-05-25
How AI assistants see make.com
make.com has an AI visibility score of 45/100. The site passed 11 of 34 tests. Its strongest areas are Technical Accessibility and Content Structure. The areas to improve are Content Freshness and Schema.org Markup.
How ChatGPT, Claude and Perplexity read make.com
Readability45/100
Result: weak. 0 of 4 tests passed.
Content is highly complex with very long sentences, making it difficult for simple LLM extraction.
Schema.org Markup0/100
Result: weak. 0 of 5 tests passed.
Complete absence of JSON-LD structured data blocks.
Authority & Trust Signals42/100
Result: weak. 1 of 5 tests passed.
Lacks visible publication dates and structured author credentials, though social proof from G2/Capterra is strong.
Citation & Source Quality22/100
Result: weak. 0 of 4 tests passed.
No inline citations or links to authoritative primary sources found in the analyzed content.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
No machine-readable or visible publication/modification dates found on the homepage.
Content Structure85/100
Result: strong. 4 of 4 tests passed.
Excellent use of semantic HTML and a clean heading hierarchy.
Entity Definition60/100
Result: average. 2 of 4 tests passed.
Strong brand consistency and an about page link, but lacks structured Person/Organization schema.
Technical Accessibility100/100
Result: strong. 4 of 4 tests passed.
Perfect scores for crawler access, meta descriptions, and social metadata.
How make.com can improve its AI visibility
- Add Core JSON-LD Schema (high priority)
- Surface Content Freshness Signals (high priority)
- Improve Sentence-Level Readability (medium priority)
- Strengthen External Citations (medium priority)
- Define Proprietary Entities (low priority)
How make.com compares to its competitors
- Zapier (zapier.com) — score 43/100
- Workato (workato.com) — score 44/100
- n8n (n8n.io) — score 48/100
- Tray.io (tray.io) — score 68/100