A studio that audits the new search.
MOZAR is the editorial way to measure how your brand shows up across Google, the answer engines and the generative AI surfaces your customers actually use.
Our mission
We believe the next decade of search belongs to AI engines. Brands need a single, opinionated reading of where they stand across SEO, AEO and GEO — not three disconnected tools. MOZAR is that single reading.
Three editorial principles
- One score, no jargon — An audit you can hand to a CEO, a SEO lead and an agency partner without translating. Three pillars, one fiche.
- AI-native by default — We were built after ChatGPT. Citations, FAQ schema and generative surfaces aren't an afterthought — they're the spine.
- Prioritised, not exhaustive — Every report ends with a 90-day action plan ranked by impact. You don't need 400 findings. You need the next five fixes.
The team
MOZAR is built in Tours by HQ LOGIC, a small studio of engineers, editors and SEO veterans. We ship a new issue every month and read every customer reply ourselves.
About MOZAR
MOZAR is an SEO, Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO) audit platform built by HQ LOGIC in Tours, France. In a single run it scores how a brand appears across classic Google search, answer engines (featured snippets, FAQ) and the generative AI surfaces — ChatGPT, Perplexity, Google AI Overviews and Claude — that increasingly drive discovery. Each audit returns one overall score, three pillar scores and a prioritised 90-day action plan, so teams fix the highest-impact gaps first instead of drowning in undifferentiated findings.
Industry research on AI & search
- Pew Research Center — Internet & Technology
- Harvard Business Review — AI & Machine Learning
- McKinsey — Artificial Intelligence
MOZAR scores your SEO, Answer Engine Optimisation, and Generative Engine Optimisation