mukani.mx
Agents are likely to struggle
Task
What does mukani.mx 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 / 2 passed
Navigation fails safely
Redirects and missing pages give agents a recoverable path.
- 2 / 2 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
Blocked
4 of 16 mature checks passed
Fix these gaps first
Critical access gaps come first, followed by other applicable readiness gaps.
- 01Critical 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.
- 02Critical 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.
- 03Critical access
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. - 04Critical 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.
- 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.
Essential1 of 6 passed · 35.6 / 80 points
- Content without JavaScriptPartial (67%)
626 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 detectionPartial (50%)
Some agents blocked: GPTBot, ClaudeBot, ChatGPT-User, PerplexityBot
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: reachable, 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.
- Agent-friendly 404sPartial (50%)
Nonexistent paths return a real HTTP 404. For full credit, include a short markdown body (site map links, where to look next) so agents can recover.
Recommendation
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.
Recommended3 of 10 passed · 8.5 / 20 points
- Developer resource discoverabilityFailed
Agent searched for "mukani" developer resources but found nothing relevant
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 discoverabilityFailed
"Mukani" search returned 8 results but domain did not appear - brand may be too generic or not indexed
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 /sitemap_index.xml with multiple sitemaps entries
Recommendation
Add a valid XML sitemap at /sitemap.xml listing all indexable URLs. Include lastmod dates and keep it under 50MB.
- Content efficiencyFailed
Very low content efficiency: 0.56% (1314 text chars in 228KB HTML) - agents must process excessive markup noise
Recommendation
Reduce markup overhead so readable text is at least 5% of your HTML. Strip unused inline scripts/styles, server-render content instead of shipping large JSON hydration blobs, and keep wrapper nesting shallow.
- JSON-LD structured dataPartial (75%)
JSON-LD Organization with name + description - add url and sameAs/logo/address for full score
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="es", 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: contactPoint, 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 pagesFailed
No trust anchor pages found with sufficient content (About, Contact, Privacy)
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.
Bonus signals6 positive · +1.4 points
- HTTP Link headers (RFC 8288)Passed
RFC 8288 Link header advertises: alternate(json)
Recommendation
Add HTTP Link: response headers (RFC 8288) advertising your sitemap, markdown alternates, API service descriptions, and API catalog. Example: Link: </sitemap.xml>; rel="sitemap", </index.md>; rel="alternate"; type="text/markdown".
- Sitemap freshness (lastmod)Passed
100% of 1 sampled sitemap entries carry lastmod; newest is 275 day(s) old
Recommendation
Add dates (W3C datetime, e.g. 2026-08-01) to your sitemap entries and update them when content actually changes. Aim for lastmod on at least half your entries with the newest within the last year. Verify with
curl https://yourdomain.com/sitemap.xml | grep lastmod. - Schema type breadthPartial (50%)
Some extended schema types found: BreadcrumbList - add FAQPage, Service, or AggregateRating for full coverage
Recommendation
Expand your JSON-LD beyond Organization/WebSite. Add FAQPage for common questions, Service or Product for offerings, AggregateRating or Review for social proof, and BreadcrumbList for navigation context.
- Native interactive controlsPassed
79 native controls, 1 non-native div-soup affordances (99% native).
- Accessible names on controlsPassed
63/73 interactive elements have a computable accessible name (86%).
- 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 2026-08-22T01-49-02-599Z