Who runs Qubebuild.

Qubebuild is an AI visibility checker for ecommerce brands. It measures how often an AI answer engine cites a brand when somebody asks a buy-intent question about its category, and it reports which competitors and which source domains are cited instead. It is built and run by Dounia Messadi.

Dounia Messadi is a senior SEO and GEO strategist with more than seven years of experience in organic search. She has worked on search and content growth at Ledger, Microsoft France, and Hyland, and generated over 125 million YouTube views for a single brand. She also runs two Shopify stores of her own, which is why Qubebuild's prompt generation is tuned for ecommerce rather than for software.

Qubebuild exists because the measurement layer for AI answer engines is missing. A brand can see its organic rankings and its paid spend, but it cannot see whether ChatGPT, Perplexity, or Google AI Mode recommends it when a buyer asks for the best product in its category. The checker measures that as a frequency across repeated runs, and stores every raw engine response so a finding can be re-read rather than trusted.

Method

A scan reads the target site's homepage to detect its ecommerce platform, product categories, price band, and structured data. It generates five buy-intent prompts from those signals — discovery, comparison, validation, shortlist, and attribute — and runs each prompt five times through a consumer answer engine rather than a raw model API, because the two use different retrieval and return different citations. The result is a citation count out of twenty-five for the brand and for three detected competitors.

Contact

Email hello@qubebuild.com, or find me on LinkedIn and GitHub.