Kahoot!
(https://kahoot.com) 📸 Data Snapshot: May 27, 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 primarily brand-based rather than individual-based. The schema_json provides basic Organization data but lacks ‘Person’ schema or links to specific educational experts or founders, despite mentioning ‘Verified Creators.’ The ‘Research’ and ‘Awards’ sections claim the platform is ‘evidence-based,’ but the provided text snippets lack citations to specific peer-reviewed studies, leaving an authority gap regarding the ‘boost student grades’ claim.
The boldest performance claim—that Kahoot! ‘significantly enhances students’ learning outcomes’—is presented as a fact but lacks immediate statistical evidence in the text provided. The news claim of ’13 Billion Participants’ functions more as a marketing hyperbolic anchor than a verifiable performance metric. In contrast, the product delivery claims (e.g., ‘Turn presentations, meetings… into engaging result-driven experiences’) are well-supported by specific feature descriptions like AI generators and file-to-kahoot conversions.
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
/kahoot-one/
{
"@context": "http://schema.org",
"@type": "Organization",
"legalName": "Kahoot!",
"url": "https://kahoot.com",
"logo": "https://kahoot.com/kahoot.png",
"sameAs": [
"https://kahoot.it",
"https://create.kahoot.it",
"https://play.kahoot.it",
"https://twitter.com/kahoot",
"https://www.facebook.com/getkahoot",
"https://www.linkedin.com/company/kahoot/",
"https://www.instagram.com/kahoot/"
]
}
/news/
{
"@context": "http://schema.org",
"@type": "Organization",
"legalName": "Kahoot!",
"url": "https://kahoot.com",
"logo": "https://kahoot.com/kahoot.png",
"sameAs": [
"https://kahoot.it",
"https://create.kahoot.it",
"https://play.kahoot.it",
"https://twitter.com/kahoot",
"https://www.facebook.com/getkahoot",
"https://www.linkedin.com/company/kahoot/",
"https://www.instagram.com/kahoot/"
]
}
/library/
{
"@context": "http://schema.org",
"@type": "Organization",
"legalName": "Kahoot!",
"url": "https://kahoot.com",
"logo": "https://kahoot.com/kahoot.png",
"sameAs": [
"https://kahoot.it",
"https://create.kahoot.it",
"https://play.kahoot.it",
"https://twitter.com/kahoot",
"https://www.facebook.com/getkahoot",
"https://www.linkedin.com/company/kahoot/",
"https://www.instagram.com/kahoot/"
]
}
🛡️ Trust Signals — external proof links that back the declared identity
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 12 | 1 |
| /kahoot-one/ | 2 | 1 |
| /news/ | 10 | 1 |
| /library/ | 4 | 1 |
This page presents a snapshot of public data from Kahoot!, captured on May 27, 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 Kahoot!: 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://kahoot.com to view the most current version of its content and see directly what this company is about and what it offers.