What we actually measure.
Not a generic readability check. Each dimension is reverse-engineered from how AI engines actually select, parse, and cite content.
One score per engine.
Different signals for each.
Not just a score.
A ranked fix list.
Every issue comes with a specific, implementable fix — sorted by score impact. You know exactly what to do and in what order. No vague "improve your content" advice.
AI Visibility scoring measures how well your website content is optimised to be found, understood, and cited by AI-powered search engines like ChatGPT, Perplexity, and Gemini. SEOVentra analyses 6 dimensions using the Claude API and returns a 0–100 score per dimension with actionable fixes.
GEO stands for Generative Engine Optimization — the practice of structuring your content so AI language models can accurately understand, retrieve, and cite it in AI-generated responses. It includes schema markup, entity clarity, FAQ structure, and direct answer formatting.
The citation probability score is a weighted composite of all 6 AI visibility dimensions, calibrated against known citation preferences of each AI engine. SEOVentra uses the Claude API to analyse your content and returns per-engine scores for all 5 supported engines.
llms.txt is a standard file (similar to robots.txt) that tells AI language models which content on your site to prioritise for training and citation. Having a well-structured llms.txt file is one of the highest-impact steps for improving AI citation probability.