AI search visibility report · 2026-10-30
How AI assistants see staub-online.com
staub-online.com has an AI visibility score of 34/100. The site passed 9 of 34 tests. Its strongest areas are Technical Accessibility and Citation & Source Quality. The areas to improve are Content Freshness and Schema.org Markup.
How ChatGPT, Claude and Perplexity read staub-online.com
Readability30/100
Result: weak. 0 of 4 tests passed.
Extremely long sentences and low reading ease scores hinder LLM comprehension.
Schema.org Markup0/100
Result: weak. 0 of 5 tests passed.
Complete absence of JSON-LD or microdata schemas.
Authority & Trust Signals34/100
Result: weak. 1 of 5 tests passed.
Basic contact info and privacy pages exist, but physical address and publication dates are missing.
Citation & Source Quality74/100
Result: average. 2 of 4 tests passed.
High volume of internal/product links but lacks external authoritative citations.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
No visible publication or modification dates found in the content or metadata.
Content Structure46/100
Result: weak. 1 of 4 tests passed.
Missing H1 and lacks section elements, though basic semantic tags are present.
Entity Definition25/100
Result: weak. 1 of 4 tests passed.
Lacks a dedicated about page and author identification, making entity definition weak.
Technical Accessibility78/100
Result: average. 4 of 4 tests passed.
Good crawler access and social meta tags, though slightly long meta description.
How staub-online.com can improve its AI visibility
- Add JSON-LD Structured Data (high priority)
- Fix Heading Hierarchy (high priority)
- Establish Entity Authority (high priority)
- Improve Sentence Structure (medium priority)
- Enhance Trust Signals (medium priority)
How staub-online.com compares to its competitors
- Le Creuset (lecreuset.com) — score 75/100
- Lodge Cast Iron (lodgecastiron.com) — score 39/100
- Williams-Sonoma (williams-sonoma.com) — score 57/100
- Made In Cookware (madeincookware.com) — score 37/100