nike.com
Agents are likely to struggle
Task
What does nike.com do and who is it for? Explain it back to me.
Critical access blockers remain
These checks describe whether an ordinary agent can enter, read, and operate the public site.
- 0 / 2 passed
Agents can reach the site
Crawler access and bot defenses.
- 0 / 1 passed
Core content is available
Useful content remains accessible without a fragile browser-only path.
- 1 / 1 passed
Navigation fails safely
Redirects and missing pages give agents a recoverable path.
- 4 / 4 passed
Controls are understandable
Forms and interactive controls expose usable names and structure.
Evaluated surfaces have material gaps
The public website is always evaluated. Optional surfaces appear when the scan finds positive evidence that they apply.
Public website
Needs work
4 of 14 mature checks passed
Authentication
Needs work
1 of 3 mature checks passed
Fix these gaps first
Critical access gaps come first, followed by other applicable readiness gaps.
- 01Critical access
Not blocked by bot detection
Allowlist known AI agent User-Agents (ChatGPT-User, ClaudeBot, Google-Extended, DeepSeekBot) in your WAF or bot-detection rules.
- 02Critical access
Agent crawler reachability
Verify that major agent User-Agents can reach the homepage. If your WAF or bot rules block them, remove or narrow the blocking rule. Add an allow rule only when your security setup denies them by default.
- 03Critical access
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.
- 04Other readiness checks
Scoped permissions
Declare scoped API permissions where machines can read them: named OAuth scopes in your OpenAPI security schemes, or scopes_supported in RFC 9728 protected-resource metadata. Prose descriptions of roles help humans, but agents need the machine-readable declaration to request least-privilege access.
- 05Other readiness checks
Markdown content negotiation (acceptmarkdown.com)
On the responses that serve text/markdown via Accept negotiation, add Accept to the Vary header (Vary: Accept, Accept-Encoding). Without it, CDNs can serve the cached HTML variant to an agent asking for markdown (or vice versa), depending on which variant landed in cache first.
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.
Essential2 of 7 passed · 30.5 / 80 points
- Content without JavaScriptPartial (67%)
1939 chars with H1 but flat heading structure
Recommendation
Server-side render your homepage so AI crawlers see meaningful content without JavaScript. Ensure an H1 and 500+ chars of text in raw HTML.
- Not blocked by bot detectionFailed
Agents blocked: GPTBot, ClaudeBot, ChatGPT-User, PerplexityBot, Google-Extended, Applebot-Extended
Recommendation
Allowlist known AI agent User-Agents (ChatGPT-User, ClaudeBot, Google-Extended, DeepSeekBot) in your WAF or bot-detection rules.
- Redirect hygienePassed
No meta-refresh stubs, JavaScript-redirect stubs, or cross-domain hops across 1 checked page
Recommendation
Replace meta-refresh and JavaScript-only redirects with real HTTP 301/302 redirects. Non-JS agents never execute
location.hrefor wait for a meta refresh - they see only the stub page. Verify withcurl -sI <url>- you should see a Location header, not a 200 with a near-empty body. - Markdown content negotiation (acceptmarkdown.com)Failed
Not acceptmarkdown.com compliant: Accept: text/markdown returned text/html; charset=utf-8; Vary header missing Accept (got "accept-encoding")
Recommendation
On the responses that serve text/markdown via Accept negotiation, add Accept to the Vary header (Vary: Accept, Accept-Encoding). Without it, CDNs can serve the cached HTML variant to an agent asking for markdown (or vice versa), depending on which variant landed in cache first.
- Agent crawler reachabilityFailed
Some AI crawlers are blocked - ChatGPT-User: blocked, ClaudeBot: blocked, Google-Extended: blocked, ora-agent: reachable, DeepSeekBot: reachable
Recommendation
Verify that major agent User-Agents can reach the homepage. If your WAF or bot rules block them, remove or narrow the blocking rule. Add an allow rule only when your security setup denies them by default.
- OAuth 2.0 supportPassed
OpenID Connect discovery endpoint found at https://accounts.nike.com
Recommendation
Implement OAuth 2.0 for API authentication. Publish your authorization server metadata at /.well-known/oauth-authorization-server.
- Scoped permissionsFailed
No declared OAuth scopes, security schemes, or scoped-permission documentation found
Recommendation
Declare scoped API permissions where machines can read them: named OAuth scopes in your OpenAPI security schemes, or scopes_supported in RFC 9728 protected-resource metadata. Prose descriptions of roles help humans, but agents need the machine-readable declaration to request least-privilege access.
Recommended3 of 10 passed · 12 / 20 points
- Developer resource discoverabilityPartial (67%)
Agent found developer resources by name including API docs (1 relevant pages). Not found via search: OpenAPI spec, developer portal, auth docs, MCP server
Recommendation
Make your developer resources (API docs, OpenAPI spec, auth docs, webhooks, MCP server) discoverable by name. Publish them at predictable URLs, list them in llms.txt, and include your product name in page titles and headings so search engines surface them for name-based queries.
- Brand name discoverabilityPartial (33%)
nike.com appears once in brand-name search results for "Nike" (position #4 out of 7)
Recommendation
Make sure a clean search for your brand name returns your own domain in the top results. If it does not, your brand may be too generic, conflict with a more established term, or not yet indexed. Strengthen brand-name search by claiming consistent NAP across listings, earning press mentions that link to the canonical domain, and avoiding redirect chains that mask the apex domain in search results.
- Sitemap existsPassed
Valid sitemap found at https://www.nike.com/sitemap-us-help.xml with 113 entries
Recommendation
Add a valid XML sitemap at /sitemap.xml listing all indexable URLs. Include lastmod dates and keep it under 50MB.
- JSON-LD structured dataPartial (50%)
JSON-LD has Organization type but missing key fields (name, description)
Recommendation
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.
- Agent instruction / when-to-useFailed
No agent instruction file with when-to-use guidance found
Recommendation
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.
- Metadata completenessPassed
All metadata signals present: canonical URL, lang="en-US", og:image, og:type
Recommendation
Add all four signals to your homepage: , , , and . Agents use these for entity resolution and attribution.
- Organization schema completenessPartial (50%)
Organization schema found but missing: address
Recommendation
Add Organization JSON-LD that includes both contactPoint (with email/phone and contactType) and address (PostalAddress). This lets AI verify your business legitimacy and answer contact queries.
- Trust anchor pagesPartial (50%)
About, Privacy pages verified - missing: Contact
Recommendation
Publish real /about, /contact, and /privacy pages with at least 500 characters of content each. These are the pages AI agents check to verify your business is legitimate before recommending you.
- Page token budgetPassed
All 1 measured page fit an agent context budget (largest ~1K tokens)
Recommendation
Keep each page's extracted text under ~100K characters (~25K tokens) so it fits an agent's context window without truncation. Split oversized reference pages into focused per-topic documents and link them from an index. Check a page with
curl -s <url> | wc -cand remember agents read the extracted text, not the raw HTML. - Agent onboarding frictionPartial (50%)
Onboarding signals described but not verified live: free tier available, self-serve key generation, sandbox/test environment
Recommendation
Offer a free tier or trial, self-serve API key generation, and a sandbox environment. Agents can't fill out 'contact sales' forms.
Bonus signals9 positive · +2.3 points
- Listed on skills.shPassed
1 official skill published on skills.sh - 4 total installs (skills.sh/jo-nike)
Recommendation
Publish agent skills on skills.sh so AI agents can discover your product's capabilities. Create a SKILL.md in your GitHub repo and register it with 'npx skills add'. See skills.sh/docs.
- Agent mode viewPassed
Rich agent mode view at ?mode=agent with 4 agent signals and navigation links
Recommendation
Add a ?mode=agent query parameter to your homepage that returns a structured, machine-readable view with API endpoints, authentication info, and key capabilities instead of marketing HTML.
- JSON-LD entity linking (sameAs)Passed
Strong entity linking via sameAs: wikidata.org, wikipedia.org, linkedin.com
Recommendation
Add sameAs links in your JSON-LD structured data pointing to your Wikipedia page, Wikidata entry, GitHub org, and social profiles. This helps AI disambiguate your brand from similarly named entities.
- NLWeb /ask endpointPassed
NLWeb /ask endpoint exists but requires authentication (HTTP 403, via POST)
Recommendation
Implement Microsoft's NLWeb protocol by adding a POST /ask endpoint that accepts natural-language queries and returns JSON with _meta (response_type, version). See github.com/microsoft/NLWeb.
- Accessible document structurePassed
Server HTML is a well-structured document (main=true, landmarks=4/4, h1=1, maxHeadingSkip=2).
- Native interactive controlsPassed
489 native controls, 4 non-native div-soup affordances (99% native).
- Accessible names on controlsPassed
489/489 interactive elements have a computable accessible name (100%).
- Form control labelingPassed
5/5 form controls have an associated label (100%).
- Accessibility-tree injection safety (bonus)Passed
No hidden instruction text detected in accessibility-tree attributes or off-screen content.
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.
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Source: Ora API
Snapshot 2026-08-24T02-46-56-823Z