AI search visibility report · 2026-06-11
How AI assistants see olx.in
olx.in has an AI visibility score of 31/100. The site passed 6 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 olx.in
Readability35/100
Result: weak. 0 of 4 tests passed.
Extremely long sentences and poor Flesch-Kincaid scores due to the listing-heavy layout.
Schema.org Markup0/100
Result: weak. 0 of 5 tests passed.
Complete absence of JSON-LD schema blocks.
Authority & Trust Signals30/100
Result: weak. 1 of 5 tests passed.
Lacks clear publication dates and detailed trust pages beyond basic terms. Contact info is limited to email.
Citation & Source Quality48/100
Result: weak. 0 of 4 tests passed.
Minimal external citations or primary source attribution; mostly internal marketplace links.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
No machine-readable publication or modification dates found in metadata or schema.
Content Structure46/100
Result: weak. 2 of 4 tests passed.
Missing H1 tag and proper paragraph tags (<p>), though semantic sections are used.
Entity Definition35/100
Result: weak. 1 of 4 tests passed.
No Organization schema or dedicated About page detected in the analyzed scope.
Technical Accessibility60/100
Result: average. 2 of 4 tests passed.
Good AI crawler access and JS independence, but meta description is critically short.
How olx.in can improve its AI visibility
- Implement Core JSON-LD Schema (high priority)
- Fix Heading Hierarchy and Paragraph Tags (high priority)
- Optimize Meta Description Length (medium priority)
- Establish Entity Authority via About Page (medium priority)
- Add Visible Freshness Signals (low priority)
How olx.in compares to its competitors
- Quikr India (quikr.com)
- IndiaMART (indiamart.com)
- Facebook Marketplace India (facebook.com)
- CarDekho (cardekho.com) — score 54/100