vaultaire.appscanned May 25, 2026 · 09:220.52s
Public AI visibility report

vaultaire.appAI visibilityNeeds Work

This site has a useful foundation, but important gaps still limit AI readability.

Key strengths include homepage access and crawler policy, while plain-text page access and sitemap need attention.

Recommended next step

add content negotiation for Accept: text/markdown on the homepage and return a markdown representation with Content-Type: text/markdown.

Keep the HTML response for regular browser requests.

Why monitor after one scan?

AI visibility changes when teams ship new pages, edit pricing or docs, update sitemaps, or change crawler rules. Weekly monitoring catches those silent regressions before answer engines and agents start reading stale or broken signals.

Monitor weekly

Overall score

67/100
Needs Work
Go to fixesOverall position81 out of 491Leaderboard

// score breakdown

Points by check

8 checks

Crawlability20/20
Robots.txt15/15
llms.txt15/15
Sitemap0/10
Markdown support0/15
Semantic HTML7.1/10
Structured data10/10
Content signals0/5
4pass1warn3fail

Public link

llmscan.dev/scan/Od8-ewbrFd5a9gjLTDg25

Signals checked

8 AI visibility signals

Fix bundle

4 copy-ready files

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Needs Work · 67/100

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Needs Work
Score
67/100

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Post the public report with: “We scored 67/100 for AI-readability.”

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Save this domain to catch regressions after content, sitemap, or robots changes.

Monitor weekly

// signal breakdown

8 signals AI systems depend on

The homepage resolves, connects, returns HTTP 200 OK, exposes a canonical URL, and is not blocked by robots.txt.

Signal weight

20/20
Pass

Evidence

url
https://vaultaire.app/
finalUrl
https://vaultaire.app/
status
200

robots.txt allows crawler access and includes Sitemap references.

Signal weight

15/15
Pass

Evidence

robotsTxtUrl
https://vaultaire.app/robots.txt
exists
true
rawRobotsTxt
User-agent: * Allow: / # Explicitly allow GPTBot User-agent: GPTBot Allow: / # Explicitly allow ClaudeBot User-agent: ClaudeBot Allow: / # Explicitly allow Google-Extended User-agent: Google-Extended Allow: / # Explicitly allow CCBot User-agent: CCBot Allow: / # Explicitly allow Bytespider User-agent: Bytespider Allow: / # Explicitly allow PerplexityBot User-agent: PerplexityBot Allow: / # Explicitly allow OAI-SearchBot User-agent: OAI-SearchBot Allow: / # Explicitly allow ChatGPT-User User-agent: ChatGPT-User Allow: / # Explicitly allow bingbot User-agent: bingbot Allow: / # Explicitly allow Amazonbot User-agent: Amazonbot Allow: / # Explicitly allow coccocbot User-agent: coccocbot Allow: / Sitemap: https://vaultaire.app/sitemap.xml

The llms.txt file was found and includes the expected text, length, heading, and URL signals.

Signal weight

15/15
Pass

Evidence

llmsTxtUrl
https://vaultaire.app/llms.txt
present
true
accessible
true

No accessible XML sitemap was found for this site.

Signal weight

0/10
Fail

Evidence

sitemapUrl
https://vaultaire.app/sitemap.xml
sitemapUrls
[https://vaultaire.app/sitemap.xml]
robotsSitemapUrls
[https://vaultaire.app/sitemap.xml]

Recommendation

Next step: Publish a valid XML sitemap at /sitemap.xml and reference it from robots.txt so crawlers and AI systems can discover important URLs.

The homepage returned HTML when requested with Accept: text/markdown, so the server appears to ignore markdown content negotiation.

Signal weight

0/15
Fail

Evidence

url
https://vaultaire.app/
acceptHeader
text/markdown
status
200

Recommendation

Next step: Add content negotiation for Accept: text/markdown on the homepage and return a markdown representation with Content-Type: text/markdown. Keep the HTML response for regular browser requests.

The homepage has some semantic HTML signals, but one or more title, metadata, heading, landmark, content, or link text checks need improvement.

Signal weight

7/10
Warn

Evidence

url
https://vaultaire.app/
quality
partial
score
71

Recommendation

Next step: Avoid skipped heading levels so sections progress from h1 to h2 to h3 without gaps. Add missing semantic elements: article.

Valid JSON-LD structured data was found with core Organization or WebSite schema.org types.

Signal weight

10/10
Pass

Evidence

url
https://vaultaire.app/
quality
good
hasStructuredData
true

Content-Signal directive not detected in headers, HTML metadata, or robots.txt.

Signal weight

0/5
Fail

Evidence

url
https://vaultaire.app/
hasContentSignals
false
hasContentSignalHeader
false

Recommendation

Next step: Add the standard directive 'Content-Signal: ai-train=no, search=yes, ai-input=yes' to robots.txt, HTML metadata, or HTTP headers so AI systems can discover content usage preferences.

// generated fixes

Downloadable fix files

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Implementation guidance

AI visibility monitoring

llms.txtMarkdown
# Vaultaire — Private iPhone Photo Vault, End-to-End Encrypted > Vaultaire: The local-first encrypted vault for iOS. Protect your files with pattern-based security. No accounts, no data tracking, pure privacy by design. This llms.txt file summarizes the public, canonical resources that AI assistants and crawlers should use to understand this site. ## Site Overview - Canonical URL: https://vaultaire.app/- Site type: software application
robots.txtTXT
# robots.txt additions# Copy these blocks into the existing robots.txt file. Keep current rules unless a note calls out a conflicting Disallow. # AI crawler access# Add explicit Allow rules for AI crawlers so public content permissions are clear.
schema.jsonJSON
{  "@context": "https://schema.org",  "@graph": [    {      "@type": "Organization",      "@id": "https://vaultaire.app/#organization",      "name": "Vaultaire — Private iPhone Photo Vault, End-to-End Encrypted",      "description": "Vaultaire: The local-first encrypted vault for iOS. Protect your files with pattern-based security. No accounts, no data tracking, pure privacy by design.",      "url": "https://vaultaire.app/",
head metaHTML
# Content-Signal recommendations Use these directives to make AI-use preferences explicit for compliant crawlers and AI systems. They are advisory signals, so keep them aligned with robots.txt, terms, and access controls. ## Recommended values - ai-train=no: AI model training, fine-tuning, and dataset creation.- search=yes: AI search indexing, snippets, and discovery.- ai-input=yes: AI answer grounding, retrieval, and generated-response context.