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
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

Markets
Ecosystems

Impacts

Technologies

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