AI search visibility report · 2026-06-05
How AI assistants see autodesk.com
autodesk.com has an AI visibility score of 32/100. The site passed 7 of 34 tests. Its strongest areas are Technical Accessibility and Entity Definition. The areas to improve are Content Freshness and Schema.org Markup.
How ChatGPT, Claude and Perplexity read autodesk.com
Readability30/100
Result: weak. 0 of 4 tests passed.
Extremely long sentences and low Flesch-Kincaid scores hinder LLM processing.
Schema.org Markup0/100
Result: weak. 0 of 5 tests passed.
Complete absence of JSON-LD structured data.
Authority & Trust Signals24/100
Result: weak. 1 of 5 tests passed.
Lacks structured author credentials and publication dates, though contact info and terms are present.
Citation & Source Quality8/100
Result: weak. 0 of 4 tests passed.
Very few outbound links and no formal inline citations for technical claims.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
No machine-readable or visible dates found on the homepage to indicate content recency.
Content Structure49/100
Result: weak. 1 of 4 tests passed.
Excellent heading hierarchy but poor semantic HTML usage and paragraph structure.
Entity Definition53/100
Result: weak. 2 of 4 tests passed.
Strong brand consistency and About page, but lacks Person schema for authors.
Technical Accessibility89/100
Result: strong. 3 of 4 tests passed.
Good crawler access and meta descriptions, but missing some social meta tags.
How autodesk.com can improve its AI visibility
- Implement Core JSON-LD Schema (high priority)
- Add Temporal Metadata (high priority)
- Establish Author Entities (medium priority)
- Improve Semantic HTML Usage (medium priority)
- Enhance External Citations (low priority)
How autodesk.com compares to its competitors
- Bentley Systems (bentley.com) — score 68/100
- Dassault Systèmes (3ds.com) — score 70/100
- Adobe (adobe.com) — score 79/100
- Trimble (trimble.com) — score 41/100
- PTC (ptc.com) — score 67/100