AI search visibility report · 2026-06-20
How AI assistants see canalys.com
canalys.com has an AI visibility score of 42/100. The site passed 12 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 canalys.com
Readability50/100
Result: weak. 1 of 4 tests passed.
Content is highly technical and dense, resulting in a low Flesch-Kincaid score.
Schema.org Markup0/100
Result: weak. 0 of 5 tests passed.
Complete absence of JSON-LD schema markup.
Authority & Trust Signals30/100
Result: weak. 1 of 5 tests passed.
Lacks specific author credentials and publication dates, though trust pages are present.
Citation & Source Quality60/100
Result: average. 2 of 4 tests passed.
Uses inline links but lacks citations to authoritative external primary sources.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
No dates found in metadata or visible text, making content appear stale to LLMs.
Content Structure73/100
Result: average. 3 of 4 tests passed.
Good use of semantic HTML but fails on heading hierarchy with multiple H1s and skipped levels.
Entity Definition48/100
Result: weak. 1 of 4 tests passed.
About page exists, but lacks structured Person schema for authors and clear term definitions.
Technical Accessibility88/100
Result: strong. 4 of 4 tests passed.
Excellent AI crawler access and JS independence, with good social meta tags.
How canalys.com can improve its AI visibility
- Implement Core JSON-LD Schema (high priority)
- Add Visible Publication Dates (high priority)
- Enhance Author E-E-A-T Signals (medium priority)
- Standardize Heading Hierarchy (medium priority)
- Complete Contact Information (low priority)
How canalys.com compares to its competitors
- Gartner (gartner.com) — score 53/100
- IDC (International Data Corporation) (idc.com) — score 70/100
- Forrester Research (forrester.com) — score 70/100
- Counterpoint Research (counterpointresearch.com) — score 44/100