Practical guides for AI visibility, llms.txt, crawlers, and citable content.
A practical definition of GEO and how it differs from traditional SEO for brands selling in Brazil.
Prompts, scans, visibility score, mention coverage, and AI share of voice — explained for teams in Brazil.
A minimal, factual llms.txt structure AI systems can ingest.
Distinguish each platform user agent while keeping private application areas blocked.
What the 0–100 score means and how to act on movement.
MencionAI’s 0–100 index of how strongly AI assistants recommend your brand—and how it differs from the plan visibility score.
Use month-over-month trends and the component breakdown—not single-day noise—to prioritize GEO work.
Direct mentions, indirect references, comparisons, and cited URLs—how {brand} classifies AI answer signals.
How competitive context turns a visibility score into a prioritization map.
How {brand} selects providers per plan and what each model contributes to visibility measurement.
How {brand} turns scan results into prioritized, verifiable marketing tasks.
Crawling, verifiable content, and structured data that agrees with visible pages.
How Brazilian buyers use AIs to research — and what that changes for brands.
Practical steps to measure and improve your brand's eligibility in ChatGPT search and answers.
Official requirements, useful content, and measurement for AI Mode and AI Overviews in Google Search.
Crawlable content and separate controls for Claude search, training, and user-triggered access.
How to package AI visibility monitoring, share of voice, and action plans as a recurring service.
What media, reviews, and owned pages need to become sources in AI answers in Brazil.
