Automatically audit your LLM?-powered SaaS? for security, cost, GEO?/AIO visibility, and production-readiness in minutes.
Added May 23, 2026
Builders launching LLM?-powered SaaS? products struggle to know if their apps are truly production-ready across security, observability, cost efficiency, and accessibility. They also have no reliable way to audit how their product surfaces in LLM?-generated answers (GEO?/AIO), leaving them blind to a growing discovery channel. Manual audits take hours and require expertise most solo founders and small teams don't have.
A SaaS? auditing tool that continuously scans an LLM? application's codebase, infrastructure, and public footprint to score it against production best practices: environment isolation, error handling, graceful failure, observability, cost efficiency, and security posture. It also runs a GEO?/AIO audit by querying major LLMs? to detect how (and whether) the product appears in answers, and generates a prioritized remediation checklist. Integrates with GitHub, cloud providers, and observability stacks for continuous monitoring.
LLM?-powered apps are shipping faster than ever in 2026, but generative search (ChatGPT, Perplexity, Gemini) is replacing Google as a discovery channel — making both production reliability and LLM?-visibility audits urgent and underserved.
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This app is amazing! I have been testing various AEO and GEO apps over the last few weeks, but I kept running into issues with the implementation. However, with Vizby, the interface is intuitively designed and very easy to use for Shopify store owners who do not know how to code and who are looking for a tool that provides analytics, testing, and implementation support all in one. I am especially excited about the product page optimization tool and the blo
Im looking for better ways to measure how often brands show up across AI search results. Brand Radar, Profound, Peec AI and a few other options all claim good coverage but I care more about reliable tracking and useful reports. Anyone used more than one of these yet?
Build the search and AI visibility infrastructure and the systems that monitor how Raspberry's content and positioning show up in AI-generated answers Own the marketing data infrastructure: connect campaign performance, attribution, and pipeline impact into dashboards and reporting that stay accurate and actionable
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