AI Visibility Scorecard
databasus.com · Technology
Somewhat visible. AI bots can read Databasus, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 5 times
Claude · Apple Intelligence · Meta AI
#47,780 of 2,707,397 in Technology for AI visibility
7
AEO Visibility
iVisible · 6.5/10
55
Muse Index Score
iAI agent readiness
Agent-ready · 55/100
4
AI Adoption
iBasic · 4/100
from our crawl and measurement
Databasus describes itself simply: "Free and open source tool for PostgreSQL scheduled backups (with MySQL and MongoDB support). Save them locally and to clouds. Notifications to Slack, Discord, Telegram, email, webhook, etc." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.5 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (SoftwareApplication, Organization, WebSite), an llms.txt file for AI models and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Strong
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Fair
Forum and community discussion.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.5/10, Databasus has a working base to build on - fixable, and the signals above are where to start.
What is Databasus and why should I use it instead of hand-rolled scripts?
Databasus is an Apache 2.0 licensed, self-hosted service backing up PostgreSQL, v13 to v18. It differs from shell scripts in that it has a frontend for scheduling tasks, compressing and storing archives on multiple targets (local disk, S3, Google Drive, Dropbox, SFTP, rclone, etc.), configuring retention policies to automatically prune old backups and notifying your team when tasks finish or fail — all without hand-rolled code
How do I install Databasus in the quickest manner?
The most direct route is to run the one-line cURL installer. It fetches the current Docker image, spins up a single PostgreSQL container. Then creates a docker-compose.yml and boots up the service so it will automatically start again when reboots occur. Overall time is usually less than two minutes on a typical VPS.
How restore verification works?
Databasus runs a small verification agent on a host you control. On every scheduled run the agent downloads the latest backup. It restores the backup into a throwaway database container. Then it sanity-checks the restored database against the source. The result is reported back — including the restore exit code and per-table row counts. Schedules support after backup, hourly, daily, weekly, monthly or a UTC cron expression. Failures can be sent through any notifier wired to the database — Slack, Teams, Discord, email and others.
Where do my backups live and how much space will they occupy?
Archives can be saved to local volumes, S3-compatible buckets, Google Drive, Dropbox and other cloud targets. Databasus implements balanced compression, which typically shrinks dump size by 4-8x with incremental only about 20% of runtime overhead, so you have storage and bandwidth savings.
How will I know a backup succeeded — or worse, failed?
Databasus can notify with real-time emails, Slack, Telegram, webhooks, Mattermost, Discord and more. You have the choice of what channels to ping so that your DevOps team hears about successes and failures in real time, making recovery routines and compliance audits easier.
How does Databasus ensure security?
Databasus enforces security on three levels: (1) Sensitive data encryption — all passwords, tokens and credentials are encrypted with AES-256-GCM and stored separately from the database; (2) Backup encryption — each backup file is encrypted with a unique key derived from a master key, backup ID and random salt, making backups useless without your encryption key even if someone gains storage access; (3) Read-only database access — Databasus only requires SELECT permissions and performs comprehensive checks to ensure no write privileges exist, preventing data corruption even if the tool is compr
Is Databasus supported by Anthropic and OpenAI OSS programs?
Yes, in March 2026 Databasus was accepted into both Claude for Open Source by Anthropic and Codex for Open Source by OpenAI. The project has been independently evaluated and recognized by industry leaders as critical open-source infrastructure worth supporting.
How is Databasus different from PgBackRest, Barman or pg_dump?
Databasus prefers simplicity — it provides a modern web interface to manage backups for many databases at once, with built-in scheduling, compression, multiple storage destinations, health monitoring and real-time notifications. At the same time, Databasus also works in agent mode for disaster recovery with WAL archiving and Point-in-Time Recovery. The agent connects from closed networks to the Databasus instance and streams backups, so databases that are not publicly exposed can still be backed up and managed from a single dashboard.
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/databasus
Cite this score: Engagemii (2026). "AEO Score for Databasus." Retrieved from https://engagemii.com/aeo/brands/databasus
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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