Secteur : digital
Département : Ile-et-Vilaine (35)
Pépite : Pépite Bretagne
Présentation :
Building AI Audit, a trust-as-a-service platform that helps companies verify and improve the reliability of their AI systems.
Projet :
BotUp (Generative Engine Optimization) (1st project)
The rise of AI platforms like ChatGPT and Gemini has changed how people search online, making traditional SEO less effective. To address this shift, I developed BotUp (Generative Engine Optimization) a system that helps websites stay visible in AI-generated results. BotUp analyzes how large language models understand content and provides recommendations to improve AI discoverability. Built with Python, FastAPI, LangChain, and pgvector, it assigns a GEO Score showing how AI-friendly a website is. Operating on a freemium SaaS model, BotUp aims to become the AI-era equivalent of SEO tools like Ahrefs or SEMrush.
AI Audit (2 project)
As AI becomes part of business operations, ensuring trust and accuracy in its outputs is vital. AI Audit is a platform that evaluates the reliability of AI-generated responses across multiple models such as ChatGPT, Gemini, and Claude. It provides a Consensus Report to measure agreement, a Deviation Report to identify differences, and a Trust Score to quantify reliability. Built with Python, FastAPI, PostgreSQL (pgvector), and a React dashboard, AI Audit enables businesses to verify AI results before using them. It’s designed for industries like finance, healthcare, and education that depend on accurate information. Offered through subscription plans, AI Audit’s goal is to set a global standard for AI transparency and accountability, ensuring organizations can trust what AI delivers.
