Guides for AI visibility & GEO

Stable, citation-friendly explainers on generative engine optimization—how to measure visibility, publish llms.txt, allow AI crawlers, and interpret your visibility score.

• What is GEO (Generative Engine Optimization)?

  A practical definition of GEO and how it differs from traditional SEO for brands selling in Brazil.

• How MencionAI measures AI visibility

  Prompts, scans, visibility score, mention coverage, and share of voice—explained.

• llms.txt template for your brand site

  A minimal, factual llms.txt structure AI systems can ingest.

• robots.txt for AI crawlers

  Allow discovery without exposing private app areas.

• Interpreting your visibility score

  What the 0–100 score means and how to act on movement.

• Mention types & citations explained

  Direct mentions, indirect references, comparisons, and cited URLs—how {brand} classifies AI answer signals.

• Share of voice & competitor radar

  How competitive context turns a visibility score into a prioritization map.

• Which AI models we track (and why)

  How {brand} selects providers per plan and what each model contributes to visibility measurement.

• From visibility gaps to action plan

  How {brand} turns scan results into prioritized, verifiable marketing tasks.

• GEO technical checklist (beyond llms.txt)

  Schema, comparison pages, trust signals, and crawlability—the technical base AI models reuse.