Avast
(https://avast.com) 📸 Data Snapshot: May 29, 2026Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
Trust theatre is present but minimized. The site displays a review_count of up to 50 on the Store page and 29 on the Homepage, yet the proof_links_count is consistently 1, indicating that reviews are cited as theatre rather than as a fully transparent, linked data stream. While it mentions third-party labs like AV-Comparatives and AVLab with specific 2025 and 2026 dates, the lack of outbound links to the raw PDF reports for each specific award constitutes a minor proof-path absence.
The ratio of verifiable evidence to assertions is high. For every generic claim like ‘stay safe on public Wi-Fi,’ the site provides specific feature names (SecureLine VPN) and third-party test results (SE Labs Total Accuracy Rating: 100%). Out of 8+ major claims, roughly 6 are backed by either internal data calculations or named external lab certifications.
Trust & Proof is read by weighing trust language against real verification. Below is the page-by-page tally of review mentions and external proof links, then the schema markup that may (or may not) declare verifiable ratings and identity proof.
🛡️ Trust Signals — reviews, proof links, trust-theatre check
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 29 | 1 |
| /en-gb/download-thank-you/ | 5 | 1 |
| /store/ | 50 | 1 |
| /index/ | 29 | 1 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
Homepage schema
{
"@context": "http://schema.org",
"@type": "Organization",
"name": "Avast",
"alternateName": "AVAST Software",
"url": "https://www.avast.com",
"logo": "https://www.avast.com/content/dam/avast/logo/Default.svg",
"contactPoint": [
{
"@type": "ContactPoint",
"telephone": "855-745-3255",
"contactType": "premium support",
"contactOption": "TollFree",
"areaServed": "US"
},
{
"@type": "ContactPoint",
"telephone": "855-745-3255",
"contactType": "premium support",
"contactOption": "TollFree",
"areaServed": "CA"
}
],
"sameAs": [
"https://www.facebook.com/avast",
"https://twitter.com/avast_antivirus",
"https://www.youtube.com/avast",
"https://www.linkedin.com/company/avast-software"
]
}
/index/
{
"@context": "http://schema.org",
"@type": "Organization",
"name": "Avast",
"alternateName": "AVAST Software",
"url": "https://www.avast.com",
"logo": "https://www.avast.com/content/dam/avast/logo/Default.svg",
"contactPoint": [
{
"@type": "ContactPoint",
"telephone": "855-745-3255",
"contactType": "premium support",
"contactOption": "TollFree",
"areaServed": "US"
},
{
"@type": "ContactPoint",
"telephone": "855-745-3255",
"contactType": "premium support",
"contactOption": "TollFree",
"areaServed": "CA"
}
],
"sameAs": [
"https://www.facebook.com/avast",
"https://twitter.com/avast_antivirus",
"https://www.youtube.com/avast",
"https://www.linkedin.com/company/avast-software"
]
}
This page presents a snapshot of public data from Avast, captured on May 29, 2026, to show how machine logic reads Trust & Proof 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 Avast: 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://avast.com to view the most current version of its content and see directly what this company is about and what it offers.