Splunk
(https://splunk.com) 📸 Data Snapshot: June 19, 2026Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.
Authority is exceptionally high with no gaps in digital footprint. Structured data (schema_json) correctly identifies Splunk LLC as a Cisco Systems subsidiary, provides a physical HQ in San Jose, and links to established social profiles. Named experts like Nathan Lesser (CISO, Children’s National Hospital) and Jon Moore (Progressive Insurance) provide high-authority validation that is easily verifiable.
The site avoids marketing-tone disconnects by using the Customers page as a performance ledger. Claims of 10x faster MTTR and 90% fewer backend issues are not generic goals but reported results from Specsavers and Singapore Airlines. The tone remains professional and data-centric rather than hyperbolic.
Identity & Authority is read from the structured data first: whether the site declares who it is in machine-readable schema, with verifiable identity links. Below is the schema captured per page, then the external proof links that support (or fail to support) that identity.
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps
Homepage schema
[
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Splunk",
"legalName": "Splunk LLC",
"url": "https://www.splunk.com/",
"logo": "https://www.splunk.com/content/dam/splunk2/en_us/images/social/splunk-cisco-social.jpg",
"foundingDate": "2003-10-01",
"address": {
"@type": "PostalAddress",
"streetAddress": "3098 Olsen Drive",
"addressLocality": "San Jose",
"addressRegion": "CA",
"postalCode": "95128",
"addressCountry": "US"
},
"ContactPoint": {
"@type": "ContactPoint",
"contactType": "Customer Service",
"telephone": "+1-415-848-8400",
"email": "support@splunk.com"
},
"sameAs": [
"https://www.linkedin.com/company/splunk/",
"https://x.com/splunk",
"https://www.facebook.com/splunk",
"https://www.youtube.com/user/splunkvideos",
"https://www.instagram.com/splunk/"
],
"parentOrganization": {
"@type": "Organization",
"name": "Cisco Systems, Inc.",
"url": "https://www.cisco.com"
}
},
{
"@context": "https://schema.org",
"type": "WebSite",
"url": "https://www.splunk.com/",
"potentialAction": {
"type": "SearchAction",
"target": "http://www.splunk.com/en_us/search.html?query={search_term_string}",
"query-input": "required name=search_term_string"
}
},
{
"@context": "http://schema.org/",
"@type": "VideoObject",
"name": "Watch overview",
"description": "Splunk Video",
"thumbnailUrl": "https://play.vidyard.com/33wBDWhw2KoYbFnZVKRNm9.jpg",
"uploadDate": "2021-01-01",
"publisher": {
"@type": "Organization",
"name": "Splunk",
"logo": {
"@type": "ImageObject",
"url": "https://www.splunk.com/content/dam/splunk-logo-dark.svg",
"width": 160,
"height": 90
}
},
"contentURL": "https://play.vidyard.com/33wBDWhw2KoYbFnZVKRNm9"
}
]
/en_us/customers.html
{
"@context": "https://schema.org",
"type": "WebSite",
"url": "https://www.splunk.com/",
"potentialAction": {
"type": "SearchAction",
"target": "http://www.splunk.com/en_us/search.html?query={search_term_string}",
"query-input": "required name=search_term_string"
}
}
/en_us/solutions/all-use-cases.html
[
{
"@context": "https://schema.org",
"type": "WebSite",
"url": "https://www.splunk.com/",
"potentialAction": {
"type": "SearchAction",
"target": "http://www.splunk.com/en_us/search.html?query={search_term_string}",
"query-input": "required name=search_term_string"
}
},
{
"@context": "https://schema.org",
"@type": "NewsArticle",
"mainEntityOfPage": {
"@type": "WebPage",
"@id": "https://google.com/article"
},
"image": [],
"author": {
"@type": "Person"
},
"publisher": {
"@type": "Organization"
},
"logo": {
"@type": "ImageObject"
}
}
]
/en_us/solutions/splunk-artificial-intelligence.html
[
{
"@context": "https://schema.org",
"type": "WebSite",
"url": "https://www.splunk.com/",
"potentialAction": {
"type": "SearchAction",
"target": "http://www.splunk.com/en_us/search.html?query={search_term_string}",
"query-input": "required name=search_term_string"
}
},
{
"@context": "https://schema.org",
"@type": "NewsArticle",
"mainEntityOfPage": {
"@type": "WebPage",
"@id": "https://google.com/article"
},
"image": [],
"author": {
"@type": "Person"
},
"publisher": {
"@type": "Organization"
},
"logo": {
"@type": "ImageObject"
}
}
]
🛡️ Trust Signals — external proof links that back the declared identity
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 283 | 1 |
| /en_us/customers.html | 5 | 1 |
| /en_us/solutions/all-use-cases.html | 6 | 1 |
| /en_us/solutions/splunk-artificial-intelligence.html | 13 | 1 |
This page presents a snapshot of public data from Splunk, captured on June 19, 2026, to show how machine logic reads Identity & Authority signals into an AI reputation evaluation.
Purpose: This data is presented under “Fair Use” for the purpose of independent signal analysis, allowing readers to see the raw signals behind the reputation score.
Notice to Splunk: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results are intended as professional feedback to help improve any website’s machine-readability and authority signals. The evaluation is free, and any company can request a fresh audit at any time.
Any company can use the insights for free and improve its voice. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://splunk.com to view the most current version of its content and see directly what this company is about and what it offers.