All Brand Reports
Outdoor & SportsScanned February 12, 2026

Fjallraven AI Agent Readiness

How well AI shopping agents like ChatGPT, Claude, and Perplexity can discover, understand, and recommend Fjallraven products.

56
Overall Score
C
Needs Work
#1
of 24 in Outdoor & Sports
#16
of 243 brands overall
Structured Data
15/ 30
AI Accessibility
22/ 25
MCP & Agent Readiness
8/ 33

vs. Outdoor & Sports Average

Fjallraven56/100
Outdoor & Sports Avg38/100

Fjallraven is 18 points above the industry average. Read the full Outdoor & Sports report.

Structured Data

15/30
JSON-LD Structured Data5/5
Found JSON-LD with types: Organization, WebSite
Product Schema0/5
No Product schema found.
Product Schema Completeness0/5
No Product schema to evaluate.
Organization/Brand Schema3/3
Found: Organization.
Breadcrumb Navigation0/2
No BreadcrumbList schema found.
FAQ Schema0/3
No FAQPage schema found.
OpenGraph Tags3/3
5/6 OpenGraph tags found: og:description, og:image, og:title, og:type, og:url.
Meta Description2/2
Meta description present (98 chars).
Title Tag2/2
Title tag present: "Fjallraven Online Store".

AI Accessibility

22/25
robots.txt5/5
robots.txt exists and does not block known AI crawlers.
Content Without JavaScript5/5
Page has 7667 chars of text content accessible without JavaScript.
Response Time5/5
Fast response: 0.77s time-to-first-byte.
HTTPS3/3
Site is served over HTTPS.
Sitemap0/3
No valid sitemap.xml found.
Semantic HTML2/2
Good semantic structure: main, section, nav, header, footer.
Viewport Meta Tag2/2
Viewport meta tag present (mobile-responsive).

MCP & Agent Readiness

8/33
MCP Server / Agent Card0/8
No MCP server, AI plugin manifest, or agent card detected.
API Documentation4/4
API documentation found at: /api, /api/docs, /api/v1, /docs, /swagger, /openapi.json, /api-docs, /swagger.json, /redoc.
Product Feeds0/4
No product feeds (RSS, Atom, XML) detected.
E-commerce Platform1/2
E-commerce platform detected: Magento.
Structured API Access2/2
Structured API detected: GraphQL (/graphql), GraphQL (/api/graphql), GraphQL (/gql).
Google UCP Profile0/3
/.well-known/ucp returned 200 but body is not valid JSON.
UCP Version0/1
No UCP profile to check version.
UCP Shopping Service0/2
No UCP profile — shopping service not declared.
UCP Transport Bindings0/1
No UCP profile — no transport bindings available.
UCP Capabilities0/3
No UCP profile — no capabilities declared.
UCP Payment Handlers0/1
No UCP profile — no payment handlers configured.
A2A Agent Card0/1
No Agent2Agent card at /.well-known/agent-card.json.
LLMs.txt1/1
llms.txt found (1059879 chars).

Top Recommendations

  1. 1.Add a .well-known/mcp.json or .well-known/ai-plugin.json manifest to enable AI agents to directly interact with your site's data and services.
  2. 2.Add Product schema markup to your product pages so AI agents can understand your offerings, pricing, and availability.
  3. 3.Add a complete Product schema with name, description, price, availability, image, brand, and SKU.
  4. 4.Add product feeds (RSS/XML) to enable AI agents and shopping aggregators to index your product catalog.
  5. 5.Add FAQPage schema for common questions about your products/services. AI agents frequently cite FAQ content.

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Data from Pacestack AI Agent Readiness Scanner. Visit Fjallraven