AI search visibility report · 2026-10-16
How AI assistants see footprint.network
footprint.network has an AI visibility score of 35/100. The site passed 11 of 34 tests. Its strongest areas are Content Structure and Readability. The areas to improve are Content Freshness and Schema.org Markup.
How ChatGPT, Claude and Perplexity read footprint.network
Readability70/100
Result: average. 3 of 4 tests passed.
The text is clear and uses simple sentences, though it is error-focused.
Schema.org Markup0/100
Result: weak. 0 of 5 tests passed.
No JSON-LD or schema markup of any kind was detected.
Authority & Trust Signals8/100
Result: weak. 0 of 5 tests passed.
The page lacks all trust signals, contact information, and publication history due to the DNS error.
Citation & Source Quality52/100
Result: weak. 2 of 4 tests passed.
The page contains links to Cloudflare support but lacks authoritative industry citations.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
No dates or update signals are present in the content or metadata.
Content Structure73/100
Result: average. 3 of 4 tests passed.
The error page has a basic heading structure but lacks semantic depth and organization.
Entity Definition40/100
Result: weak. 1 of 4 tests passed.
The entity is not defined; there is no about page or author information.
Technical Accessibility50/100
Result: weak. 2 of 4 tests passed.
The site is accessible to AI crawlers but lacks critical meta tags and is currently serving a DNS error.
How footprint.network can improve its AI visibility
- Resolve DNS Configuration Error (high priority)
- Add Core JSON-LD Schema (high priority)
- Implement Meta Description (medium priority)
- Establish Trust Pages and Entity Info (medium priority)
- Add Visible Content Dates (medium priority)
How footprint.network compares to its competitors
- Dune Analytics (dune.com) — score 78/100
- Nansen (nansen.ai) — score 74/100
- Glassnode (glassnode.com) — score 78/100
- Token Terminal (tokenterminal.com) — score 73/100