AI search visibility report ยท 2026-10-18
How AI assistants see baymard.com
baymard.com has an AI visibility score of 61/100. The site passed 17 of 34 tests. Its strongest areas are Technical Accessibility and Schema.org Markup. The areas to improve are Content Freshness and Readability.
How ChatGPT, Claude and Perplexity read baymard.com
Readability40/100
Result: weak. 0 of 4 tests passed.
Sentences are far too long and complex for optimal LLM processing.
Schema.org Markup80/100
Result: strong. 4 of 5 tests passed.
Core schemas are valid and complete, but content-specific schemas are missing.
Authority & Trust Signals52/100
Result: weak. 2 of 5 tests passed.
Strong contact info and trust pages, but lacks author credentials and publication dates.
Citation & Source Quality49/100
Result: weak. 1 of 4 tests passed.
Lacks links to high-authority external domains and formal citation markup.
Content Freshness15/100
Result: weak. 1 of 4 tests passed.
No visible publication or modification dates found on the analyzed page.
Content Structure75/100
Result: average. 3 of 4 tests passed.
Excellent heading hierarchy and semantic HTML, but paragraph structure is poor.
Entity Definition65/100
Result: average. 2 of 4 tests passed.
Strong brand consistency and about page, but lacks author identification.
Technical Accessibility95/100
Result: strong. 4 of 4 tests passed.
Excellent AI crawler access and JS independence. Meta tags are well-configured.
How baymard.com can improve its AI visibility
- Implement Author Person Schema (high priority)
- Add Visible Publication Dates (high priority)
- Reduce Sentence Complexity (medium priority)
- Add Content-Specific Schemas (medium priority)
- Increase Authoritative Outbound Links (low priority)
How baymard.com compares to its competitors
- Nielsen Norman Group (nngroup.com) โ score 50/100
- MeasuringU (measuringu.com)
- UXmatters (uxmatters.com) โ score 52/100
- UIE (User Interface Engineering) (userinterfacengineering.com)