Use Case
AI visibility and GEO competitive benchmark
ABSTRACT
Evaluate how much and how the brand is mentioned, described and recommended by the main generative engines compared to competitors and strategic market queries.
Where: italy
Where: italy
Mission
Define key prompts by category, product, and funnel stage
Testing of the main generative engines
Analysis of citations, sentiment, accuracy, and response context
Competitive benchmark to identify GEO gaps and opportunities
Solution
GEO dashboards and strategic reports that measure brand visibility in AI responses, highlight areas of weakness compared to competitors and define priority actions to increase citations, authority and generative relevance.
Digital Ecosystem
Actions
Digital Ecosystem
A structured assessment combining prompt engineering, multi-engine testing, citation analysis, and competitive benchmarking. The approach evaluates how generative engines describe, recommend, and cite the brand across strategic market queries, identifying GEO gaps and defining prioritized actions to improve visibility, authority, and recommendation rates in AI-generated responses.
Expected results
Prioritized GEO Gaps and Opportunities
Structured competitive benchmark
Higher likelihood of citation and recommendation in AI responses
Impacts
Technologies
EngX
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