AI visibility benchmark for Brazilian brands

Why benchmark in Brazil

Brazilian buyers mix Portuguese and English prompts across global models. Visibility differs by language, category, and which competitors models already cite from local media and review sites.

Benchmark protocol

1. Prompt set — 10 buyer-intent questions in PT-BR and EN (e.g. “best CRM for SMB in Brazil”, “{category} vs {competitor}”).
2. Model coverage — ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Grok (same temperature/settings each run).
3. Score visibility 0–100 — brand mentioned, recommended, or linked in the synthesized answer.
4. Share of voice — your mentions divided by total brand mentions vs top five competitors.
5. Action plan — map citation gaps to comparison pages, FAQ anchors, and llms.txt updates.

Reading the results

A low score with high competitor share usually means missing comparison content or weak entity signals — not a single meta-tag fix. Re-run weekly after shipping POA items.

How visibility works · Interpreting visibility score · Share of voice · AI model coverage