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Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. Bugzy AI — Release Faster With QA That Keeps Up just got measured.
7/10 means Bugzy AI — Release Faster With QA That Keeps Up is somewhat visible. AI bots can read you, but you are missing the structured signals that would push citation rate above competitors.
AI-powered autonomous QA agent that runs tests on every PR and deploy. Get coverage without adding headcount.
Category: Technology
bugzy.ai7
Structured Data
9
Content Structure
6
Entity Clarity
5
E-E-A-T Signals
8
Technical AEO
4
AI Discoverability
We already have a QA team. Is Bugzy still relevant?
Absolutely—Bugzy is designed to work alongside your QA team, not replace them. If your dev/QA ratio is >8:1, you likely have a coverage gap. Bugzy fills that gap by handling regression testing, smoke tests, and feature verification, so your QA engineers can focus on complex test strategy, exploratory testing, and high-value work.
How does Bugzy actually work?
Bugzy connects to your development tools (repo, ticketing, docs) to build a knowledge graph of your project. It uses this context to generate end-to-end tests and executes them in your CI pipeline. When a test fails, Bugzy analyzes the failure and reports the bug with context - what failed, where, and why.
Will Bugzy fit with our tech stack and tools?
Yes – Bugzy is designed to integrate with modern stacks. It supports popular languages and frameworks out of the box. It hooks into GitHub or GitLab, works with CI services (like Jenkins, GitHub Actions), and posts issues to Slack, Linear, or Jira.
Does Bugzy replace my QA team or developers?
No—Bugzy fills coverage gaps, it doesn't replace people. When your dev team grows but QA doesn't, you get a coverage gap. Bugzy fills that gap by handling regression tests, smoke tests, and routine feature verification. Your QA team stays focused on what humans do best: strategic test planning, exploratory testing, edge case discovery, and complex scenarios.
How does Bugzy avoid false positives and flaky tests?
Traditional tests break when UI text or minor flows change – Bugzy doesn't rely on brittle selectors alone. It understands the intent behind tests and adapts to UI changes (self-healing). It also continuously learns from past runs; if something was flaky, Bugzy adjusts or flags it.
Is our code and data safe with Bugzy?
Absolutely. Security is a top priority: Bugzy can run fully on your infrastructure or in an isolated cloud environment. We use end-to-end encryption to protect your data. Bugzy only uses the data it needs to test your app, and we never store your proprietary code or customer data on our servers.
How does pricing work?
Bugzy offers tiered plans based on your team size and testing needs, starting at EUR 250/month. Every plan includes a free trial so you can see results before committing. No credit card required to start.
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
Personal 50% off code at checkout
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Scored by Engagemii on May 21, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/bugzy-ai
Cite this score: Engagemii (2026). "AEO Score for Bugzy AI — Release Faster With QA That Keeps Up." Retrieved from https://engagemii.com/aeo/brands/bugzy-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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