AI search visibility report · 2026-10-18
How AI assistants see jfrog.com
jfrog.com has an AI visibility score of 66/100. The site passed 22 of 34 tests. Its strongest areas are Technical Accessibility and Content Structure. The areas to improve are Readability and Content Freshness.
How ChatGPT, Claude and Perplexity read jfrog.com
Readability30/100
Result: weak. 0 of 4 tests passed.
Very low readability scores due to extreme sentence length and technical density.
Schema.org Markup68/100
Result: average. 4 of 5 tests passed.
Core schemas are valid and present, but specific content/product schemas are absent.
Authority & Trust Signals54/100
Result: weak. 2 of 5 tests passed.
Contact info is partial and trust pages are missing. Publication info is present via modified dates.
Citation & Source Quality60/100
Result: average. 3 of 4 tests passed.
Inline citations are present but outbound links do not target high-authority external domains.
Content Freshness50/100
Result: weak. 2 of 4 tests passed.
Modified dates are very recent, but explicit publication dates and update signals are missing.
Content Structure85/100
Result: strong. 4 of 4 tests passed.
Excellent heading hierarchy and semantic HTML usage. Paragraph structure is logical.
Entity Definition74/100
Result: average. 3 of 4 tests passed.
Strong about page and brand consistency, though Person schema for authors is missing.
Technical Accessibility100/100
Result: strong. 4 of 4 tests passed.
Perfect scores for crawler access, JS independence, and social metadata.
How jfrog.com can improve its AI visibility
- Reduce Sentence Complexity (high priority)
- Implement Content-Specific Schemas (high priority)
- Add Missing Trust Pages (medium priority)
- Add Visible Update Signals (medium priority)
- Improve Outbound Link Authority (low priority)
How jfrog.com compares to its competitors
- Sonatype (sonatype.com) — score 54/100
- Snyk (snyk.io) — score 57/100
- GitLab (gitlab.com) — score 61/100
- GitHub (github.com) — score 53/100