Documentation

Brand Visibly models search growth as a single connected graph rather than a set of disconnected reports. Keywords carry intent, pages own keywords, entities give pages meaning, and AI answers cite the entities they trust.

Because everything shares one graph, a change to a page updates its keyword ownership, its topic coverage and its expected AI citation probability at the same time. That is what makes the impact forecast possible.

Impact combines the traffic and conversion value of the affected cluster with the size of the gap to the achievable benchmark. Effort estimates the implementation cost from the number of URLs, the change type and integration coverage.

Confidence reflects the strength of the evidence: how many independent signals agree, how recent they are, and how similar past changes performed.

AI engines retrieve and synthesise rather than rank. Being retrievable means being structured, consistent and verifiable — the same brand facts stated the same way everywhere.

Authority still matters, but at the entity level rather than the domain level. Brand Visibly tracks citation share per prompt, per engine, so the effect of each change is measurable.

Each agent has a role, a tool set and an autonomy level. Suggest-only agents produce recommendations. Approve-required agents prepare the exact change and wait. Autonomous agents ship within their guardrails.

Every action lands on the change timeline with a diff, an actor and a rollback path, so autonomy never means losing control.