AI search visibility report · 2026-10-26
How AI assistants see fetch.com
fetch.com has an AI visibility score of 54/100. The site passed 16 of 34 tests. Its strongest areas are Technical Accessibility and Content Structure. The areas to improve are Content Freshness and Authority & Trust Signals.
How ChatGPT, Claude and Perplexity read fetch.com
Readability70/100
Result: average. 3 of 4 tests passed.
Sentence length is good, but the reading ease score is low due to complex vocabulary.
Schema.org Markup60/100
Result: average. 3 of 5 tests passed.
JSON-LD is present and valid, but lacks the core and content schemas necessary for LLM context.
Authority & Trust Signals30/100
Result: weak. 1 of 5 tests passed.
Trust pages are present, but contact information and publication dates are missing. Social proof lacks schema.
Citation & Source Quality48/100
Result: weak. 0 of 4 tests passed.
Lacks authoritative outbound links and formal inline citations for claims.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
No publication or modification dates are detectable in the code or visible text.
Content Structure79/100
Result: average. 3 of 4 tests passed.
Excellent heading hierarchy and semantic HTML, but paragraph structure is fragmented.
Entity Definition48/100
Result: weak. 2 of 4 tests passed.
About page exists, but author identification and term definitions are weak.
Technical Accessibility100/100
Result: strong. 4 of 4 tests passed.
Excellent technical setup with full AI crawler access and strong social meta tags.
How fetch.com can improve its AI visibility
- Implement Core Entity Schemas (high priority)
- Define Authoritative Entities (high priority)
- Add Visible Modification Dates (medium priority)
- Complete Contact Information (medium priority)
- Simplify Content Language (low priority)
How fetch.com compares to its competitors
- Ibotta (ibotta.com) — score 53/100
- Rakuten (rakuten.com) — score 55/100
- Upside (upside.com) — score 44/100
- Swagbucks (swagbucks.com) — score 69/100