Veyro.ai measures whether your e-commerce product pages are recommended by ChatGPT, Gemini, and Perplexity. Get a GEO Product Score out of 100 with concrete recommendations to improve your visibility in AI-generated answers. Built for mid-market e-commerce, focused on product pages rather than brand awareness.
A startup from Paris, France that is founded by Nicolas Venaut.
Veyro.ai is the first French tool focused specifically on the product-centric GEO approach. Unlike brand-centric tools that measure how often a brand appears in AI answers, Veyro analyzes the visibility of an individual product page on realistic buying queries (e.g., "best ergonomic office chair under โฌ300"). The tool generates contextual queries per product, tests them across LLMs, and returns a GEO Product Score with a structured action plan in three blocks: Quick Wins, On-site optimizations, and Off-site leverage.
Most GEO tools measure brand visibility โ Veyro measures product visibility. For e-commerce businesses managing catalogs, knowing that the brand is mentioned 50 times this month doesn't reveal which products are recommended by AI and which disappear. Veyro provides product-level granularity, contextual query generation per product page, and actionable recommendations that a product manager can execute without depending on a developer or SEO consultant. The V1 analysis is free and takes 5 minutes per URL.
Veyro.ai is designed for any business selling products online โ from independent merchants with a single product to mid-market e-commerce companies, ETIs (mid-cap enterprises) and large groups managing thousands of SKUs. Digital agencies and e-commerce consultants also use Veyro to deliver GEO audits to their clients. The common thread: organizations whose business depends on product sales (not brand awareness alone) and who need to understand how their catalog performs in AI-driven recommendations.
Veyro.ai was founded by Nicolas Venaut in 2026, growing out of a clear observation: search behavior is shifting. A growing share of buyers now use ChatGPT, Gemini, or Perplexity to discover products before purchasing โ and these AI engines recommend a shortlist, leaving most products invisible. Traditional SEO tools and brand-centric GEO tools measure visibility at a level that's too aggregated for e-commerce operators who need to pilot a catalog page by page. Veyro was built to fill that gap. The company is incubated at Station F in Paris since June 2026.
Veyro.ai is built on Next.js 14 (App Router), Tailwind CSS for the frontend, Supabase for the backend and authentication, and the OpenAI API for AI processing. Email infrastructure runs on Resend. The platform is deployed on Vercel with a dedicated VPS for processing workers. The architecture is designed for product-level analysis: each product URL triggers a query generation pipeline, multi-LLM testing, and structured scoring.
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