EchoEngine

EchoEngine analyses how brands, companies and products are represented and recommended across AI systems. Visibility alone is not the objective: the technology measures whether AI recommends you or a competitor, explains why, proposes prioritised changes and verifies afterwards whether those changes actually moved the result.

Functional scope

• Automated recurring audits across ChatGPT, Claude, Gemini and Perplexity
• Evidence trail: every result traces back to the concrete AI answer behind it
• Competitive comparison showing where AI prefers a competitor and why
• Closed action loop: recommendation, change, re-measurement, result
• Eight weighted metrics: visibility, position, sentiment, citations, topics, competition, authority, recency
• Aggregate score with trend development and portfolio reporting

Application areas

• Brand and product visibility in AI-driven search and advice
• Marketing and communication strategy for AI recommendation
• Agency reporting across a portfolio of brands