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, marketplaces, and review sites.

MencionAI is built for this market: primary audience is marketing and growth teams in Brazil measuring ChatGPT, Perplexity, Gemini, Claude, DeepSeek, and Grok.

Example category prompts (anonymized)

Use buyer language, not brand slogans:

• “Melhor CRM para PME no Brasil”
• “Alternativa ao [competitor] em português”
• “Best payroll software for companies in Brazil”
• “[Category] vs [competitor] for ecommerce”

Run the same set weekly so movement is attributable to content and entity work — not prompt drift.

Benchmark protocol

1. Prompt set — 10 buyer-intent questions in PT-BR and EN.
2. Model coverage — ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Grok (same 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 plan-of-action items.

FAQ

Do I need English pages? Often yes for B2B categories; still prioritize PT-BR pages AIs can cite for local buyers.

Is SEO enough? Strong SEO helps, but GEO measures presence inside AI answers — a different surface.

How visibility works · GEO in Brazil · Share of voice · Glossary