AI Search Visibility.
Audit your page for the Generative Search era. Measure your GSV (Generative Search Visibility) score and identify structural gaps in your AI citation architecture.
Why does this metric matter? By 2026, the majority of informational search queries are answered directly within the search engine interface via LLM-powered summaries (like Gemini AI Overviews or SearchGPT). If your website is not properly formatted, these bots cannot confidently extract your data, resulting in zero citations and invisible brand presence.
The GSV score analyzes the core technical signals that AI parsers look for: Advanced JSON-LD markup, the "Sentence-1" direct answer framework, semantic HTML hierarchy, and empirical data points. Improve these elements to maximize your likelihood of being the primary cited source.
Diagnostic Audit Controls
Does the page use Software, FAQ, or Enterprise JSON-LD?
Does the very first sentence answer the user query directly?
Is this page the original source of the data discussed?
Correct use of Article, Section, and Heading hierarchy.
Contains empirical, citeable data points or surveys.
GSV Methodology
What is a GSV Score?
Generative Search Visibility (GSV) is a proprietary metric that measures how 'cite-worthy' and 'extractable' your content is for AI engines like Google Gemini, SearchGPT, and Perplexity. A higher score means you are more likely to be featured in AI Overviews.
Disclaimer: The GSV Score is a predictive diagnostic tool for digital strategy. Actual AI citations depend on external factors like topic authority and model-specific training weights.