Why ChatGPT cited your competitor and not you — and the FAQ schema fix that flips it
GEO · May 2026
A teardown of three real-world brand citations in ChatGPT, Perplexity and Gemini. Same vertical, three very different outcomes.
Long-form pieces on AI search, GEO benchmarks, AEO schema, and how brands are adapting. One brief per month, written by the MOZAR team.
GEO · May 2026
A teardown of three real-world brand citations in ChatGPT, Perplexity and Gemini. Same vertical, three very different outcomes.
AEO · May 2026
Answer engines no longer pull from snippets — they synthesise. Here's what to ship instead.
Benchmarks · April 2026
An aggregate look at MOZAR's first year of audits. Pillar by pillar, vertical by vertical.
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.
MOZAR scores your SEO, Answer Engine Optimisation, and Generative Engine Optimisation