Reporting and Analytics

AI visibility requires metrics that separate discovery, retrieval, and engagement from traditional web analytics. Track signals like crawler activity and actual retrievals to confirm AI is accessing your content, as well as conversation citations and referral sessions that show human and AI-driven traffic stemming from AI interactions. Also monitor AI Overviews usage and whether AI responses include links or references to your content. The goal is to measu…

You need evidence, not guesswork. Start with an AI visibility scan and the public business knowledge itself: can AI or search systems retrieve the right pages, are the important facts clear, are customer questions covered, and are machine-readable outputs available and consistent? Then separate the signals. Discovery or retrieval shows that an AI system requested content. A visible citation is a stronger but different observation. An identifiable AI refer…

AI visibility reporting looks outward at discovery, retrieval, citations and referrals. Conversation reporting looks inward at the questions people ask the business’s own assistant or knowledge interface, the topics attracting interest and the gaps in the current knowledge. Together they close the loop: one shows how external systems interact with the public layer, while the other shows what real users still want to know.

Use it to improve the knowledge layer. If AI systems repeatedly retrieve a topic, deepen and maintain it. If customers keep asking a question the site cannot answer, publish a better answer. If a citation surfaces an outdated page, correct the source. Reporting is most valuable as a feedback loop between what the business publishes, what machines retrieve and what people ask—not as a vanity dashboard.

No. AI platforms do not expose every internal retrieval path, user interaction or downstream decision. Some traffic loses referrer information, some models use cached or indexed data, and a brand may be mentioned without generating a visit. That is why OTC reports what its own infrastructure can observe and uses external visibility tests as separate evidence. Gaps in measurement should be acknowledged rather than filled with assumptions.

Because they happen at different stages. Discovery means a system found a resource. Retrieval means it requested useful business content. Citation means a source was shown in an answer. Referral means a browser arrived from an identifiable AI service. A visit or click-through is human activity, and a lead or customer is a commercial outcome. A business can improve one stage without automatically producing the next. Separating them makes the reporting actio…

Where the infrastructure allows it, Own The Conversation reports the observable stages of AI-mediated discovery separately: technical discovery, recognised AI retrieval of useful business content, visible citation evidence captured through testing or platform output, identifiable AI referrals, subsequent human visits or click-throughs, and conversation activity around the Digital Twin. A report can also show which business pages were researched and which r…