GoSafe offers AI-driven dark web monitoring for businesses, providing real-time alerts for leaked data, phishing protection, and cyber risk assessment.
Business Specialistgo-safe.aiTracked since 2026-08-211 discovery source
511Backlinks
184Referring domains
22Domain authority
+86.5%Referring domains · 90 days
Authority & distribution
How strong is GoSafe’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
511Current snapshot
Referring domains
184Current snapshot
Authority
22Domain authority · category median 22
90-day move
+86.5%Referring domains, last 90 days
At 22, GoSafe sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“GoSafe”
GoSafe offers AI-driven dark web monitoring for businesses, providing real-time alerts for leaked data, phishing protection, and cyber risk assessment.
Business SpecialistSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://go-safe.ai
Observed across 1 discovery source.
Research questions
What the evidence answers about GoSafe.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What features does GoSafe offer?
GoSafe offers 24/7 AI dark web monitoring, real-time risk alerts, AI risk scoring for cyber exposure, live phishing simulations for employee training, and an instant search tool for exposed data. It is a fully white-label platform.
How is GoSafe priced or packaged?
The evidence describes GoSafe as a 'low-cost way' for MSPs to offer dark web monitoring and as designed to help them 'create new recurring revenue'. Specific pricing tiers or packages are not detailed in the provided evidence.
What is GoSafe and what problem does it solve?
GoSafe is an AI-driven dark web monitoring platform for businesses, primarily for MSPs and IT providers. It solves the problem of detecting leaked credentials and data breaches by continuously scanning the dark web and providing real-time alerts.
What is GoSafe used for and in what situations?
GoSafe is used for dark web monitoring to detect stolen passwords and compromised data. It is used by MSPs to protect their clients, create new recurring revenue streams, and help businesses safeguard sensitive data and stay ahead of evolving cyber threats.
Who is GoSafe for?
GoSafe is primarily for Managed Service Providers (MSPs) and IT providers who need to offer dark web monitoring services to their business customers. It is also for businesses themselves looking to protect their data.
What is GoSafe?
GoSafe is an AI-driven dark web monitoring platform designed for MSPs and IT providers to protect businesses by detecting leaked data and offering phishing protection.
Behind the lock
Unlock full GoSafe intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured