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example.com

Important blockers remain

65/ 100

Technical readiness score

What should the prompt cover?

11 findings · 5 selected

Failures (8)

Warnings (3)

Starting an observed agent task

This run is collected separately from the technical score and will appear here as the agent moves through the public site.

Starting the agent…

Critical access blockers remain

These checks describe whether an ordinary agent can enter, read, and operate the public site.

  • Agents can reach the site

    Crawler access, bot defenses, and explicit agent policy.

    3 / 3 passed
  • Core content is available

    Useful content remains accessible without a fragile browser-only path.

    0 / 1 passed
  • Navigation fails safely

    Redirects and missing pages give agents a recoverable path.

    1 / 2 passed
  • Controls are understandable

    Forms and interactive controls expose usable names and structure.

    1 / 1 passed

Advertised capabilities have material gaps

Optional surfaces appear only when the scan finds positive evidence that the site offers them.

Public website

Blocked

40%

5 of 16 mature checks passed

Fix these gaps first

Critical access gaps come first, followed by gaps in capabilities the site advertises.

  1. 01

    Content without JavaScript

    Server-side render your homepage so AI crawlers see meaningful content without JavaScript. Ensure an H1 and 500+ chars of text in raw HTML.

    Critical access
  2. 02

    Agent-friendly 404s

    Return a real HTTP 404 (or 410) status for nonexistent paths - never a 200 with your app shell, which makes agents believe every path exists. For full credit, give the 404 response a short markdown body pointing agents at your sitemap, llms.txt, or docs index. Verify with `curl -s -o /dev/null -w "%{http_code}" https://yourdomain.com/some-path-that-does-not-exist` - it must print 404.

    Critical access
  3. 03

    JSON-LD structured data

    Add JSON-LD structured data to your homepage using the identity type that matches your site - SoftwareApplication for products, Organization or LocalBusiness for companies, Person for personal sites, Article for blogs - with name, description, url, and type-appropriate fields (offers, sameAs, author) so AI can parse your identity programmatically.

    Advertised capabilities
  4. 04

    robots.txt AI crawler policy

    Add explicit AI crawler directives in robots.txt. Allow the crawlers that feed answer engines ('User-agent: GPTBot' / 'Allow: /', same for ClaudeBot, PerplexityBot, OAI-SearchBot), and restrict training-only crawlers (CCBot, ByteSpider) with 'Disallow: /'. Content Signals ('Content-Signal: search=yes, ai-train=no') earns the same credit.

    Advertised capabilities
  5. 05

    Agent instruction / when-to-use

    Tell agents when to reach for you: add a 'when to use this' section to your llms.txt (or a dedicated agent-instructions file) that names your best-fit use cases and how an agent should call you. Be specific about the jobs you are right for - generic marketing copy does not read as guidance.

    Advertised capabilities

Audit the checks behind the score

Applicable evidence is grouped by how it contributes to this preview model. Bonus checks appear only when they add points.

Essential4 of 6 passed · 60 / 80 points
  • Content without JavaScriptFailed
  • Not blocked by bot detectionPassed
  • robots.txt agent-user policyPassed
  • Redirect hygienePassed
  • Agent crawler reachabilityPassed
  • Agent-friendly 404sPartial (50%)
Recommended1 of 10 passed · 3.7 / 20 points
  • Brand name discoverabilityPartial (33%)
  • robots.txt AI crawler policyFailed
  • Sitemap existsFailed
  • Content efficiencyFailed
  • JSON-LD structured dataFailed
  • Agent instruction / when-to-useFailed
  • Metadata completenessPartial (50%)
  • Organization schema completenessFailed
  • Trust anchor pagesFailed
  • Page token budgetPassed
Bonus signals3 positive · +0.8 points
  • Wikipedia / Wikidata entity presencePassed
  • Accessible names on controlsPassed
  • Accessibility-tree injection safety (bonus)Passed

Inspect the underlying audit

The complete Ora audit uses evidence from the scan on . After applying changes, run another scan from the homepage to refresh these recommendations.

Score alerts

A weekly report with ranking changes, new agent feedback, and score alerts for example.com.

Source: Ora API

Snapshot 2026-08-19T21-02-10-811Z