Search engines rank pages. AI assistants assemble answers.

In this bonus episode of The Post Project World, Luigi Pascal Rondanini, using some AI actors, introduces Arbor, a platform designed to measure how companies appear within the answer layer of generative AI.

As buyers increasingly ask ChatGPT, Claude, Gemini and other AI systems for recommendations, explanations and comparisons, traditional search rankings no longer tell the whole story. An organisation may perform well on Google while remaining absent, misrepresented or incorrectly described in AI-generated answers.

This episode explores how Arbor helps organisations examine:

• visibility across major AI models
• citation frequency and source attribution
• factual accuracy and hallucination risks
• competitive positioning within generated answers
• gaps in authority, evidence and discoverability
• changes in AI visibility over time

Rather than relying on opaque visibility scores or marketing claims, Arbor uses an auditable, evidence-led methodology. Each result can be traced back to the prompt, model, response, citation and date on which it was observed.

The discussion also considers why answer-engine visibility matters to communications teams, SEO specialists, PR professionals, digital strategists and enterprise leaders—and how organisations can move from being merely present online to becoming trusted sources that AI systems recognise and cite.

Arbor is available through cloud-based and self-hosted deployment options for organisations requiring greater control over their data and monitoring processes.

Learn more at arbor.berta.one.

A bonus episode of The Post Project World, produced by Luigi Pascal Rondanini for Rondanini Publishing Ltd.