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Travel & Hospitality · Rank #50 of 100

Airbnb

https://www.airbnb.com
Agent Readiness
57/100
At Risk
Example agent task tested

Can an AI agent find a 3-bedroom rental, compare hosts, and verify cancellation policies?

Dimension Breakdown

Six-dimension scorecard

AI Discoverability85
Answer Engine Readiness69
Agent Usability100
Trust & Verification49
Content Worthiness4
Machine Readiness36
Key Strengths

What's working

  • robots.txt present
    GET https://www.airbnb.com/robots.txt → HTTP 200, 850 directive lines
  • Primary content structure
    3930 chars of visible text, <h1> present, <main>=yes
  • AI-bot directives
    Named: ['ChatGPT-User', 'ClaudeBot', 'GPTBot', 'OAI-SearchBot', 'PerplexityBot', 'anthropic-ai', 'cohere-ai']; disallowed: []
  • Primary CTA clarity
    Detected action labels: ["become a host it's easy to start hosting", 'log in or sign up']
  • Business clarity on homepage
    Title (74 chars); Meta description (132 chars); Clear H1
Key Gaps

Biggest opportunities

  • Answer-first formatting
    Sampled 1 page(s): ✗ / (no H1+lede)
    → Lead every key page with a clear H1 stating what it covers, immediately followed by a 1-2 sentence paragraph naming the audience and outcome.
  • Structured data — FAQ / help page
    Sampled 1 faq / help page; expected Faqpage OR Qapage, found: no JSON-LD.
    → Wrap existing Q&A pairs on the FAQ page with FAQPage JSON-LD (`mainEntity` → `Question` + `acceptedAnswer`). AI answer engines cite FAQPage content directly. Target path pattern: /help/*.
  • Structured data — Service pages
    Sampled 1 service pages; expected Service OR Professionalservice, found: website.
    → Add Service schema on service pages with `serviceType`, `provider` (Organization), `areaServed`, and a `hasOfferCatalog` for tiered offerings. Target path pattern: /services/*.
  • Machine-readable capability discovery
    Probed 18 endpoints — none returned a valid .well-known response.
    → If you expose APIs or developer capabilities, publish /.well-known/openid-configuration, /.well-known/mcp, or /.well-known/api-catalog as appropriate.
  • Emerging commerce protocol signals (x402, ACP, UCP, MPP)
    No x402, ACP, UCP, MPP, or related commerce-protocol signals found (probed /.well-known/{acp,ucp,mpp,x402,agent-commerce}.json)
    → If you sell products or services, evaluate x402 / ACP / UCP / MPP support and publish a capability document at `/.well-known/acp.json` (or equivalent) with your protocol version + supported actions.
Suggested Improvements

Where to focus next

  1. Answer-first formatting — Lead every key page with a clear H1 stating what it covers, immediately followed by a 1-2 sentence paragraph naming the audience and outcome.
  2. Structured data — FAQ / help page — Wrap existing Q&A pairs on the FAQ page with FAQPage JSON-LD (`mainEntity` → `Question` + `acceptedAnswer`). AI answer engines cite FAQPage content directly. Target path pattern: /help/*.
  3. Structured data — Service pages — Add Service schema on service pages with `serviceType`, `provider` (Organization), `areaServed`, and a `hasOfferCatalog` for tiered offerings. Target path pattern: /services/*.
  4. Machine-readable capability discovery — If you expose APIs or developer capabilities, publish /.well-known/openid-configuration, /.well-known/mcp, or /.well-known/api-catalog as appropriate.
  5. Emerging commerce protocol signals (x402, ACP, UCP, MPP) — If you sell products or services, evaluate x402 / ACP / UCP / MPP support and publish a capability document at `/.well-known/acp.json` (or equivalent) with your protocol version + supported actions.

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Last scanned 6/5/2026, 4:49:18 PM · Scan duration 9.1s · Detected site type: saas_product

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