Site index for AI agents: /llms.txt. Documentation pages under /docs are also served as markdown at the same URL plus .md (e.g. /docs/geo-audit.md) or via an Accept: text/markdown request.

Analytics → Visibility → Prompt

Prompts: the questions you choose to be measured on

Prompts are the unit of tracking: real questions buyers ask AI engines, grouped by topic, scored per engine and region.

Each prompt row shows its visibility score with a blunt Bad / Excellent label, the regions it runs in, and its execution count. Prompts can be added four ways: manually, by bulk upload, AI-generated from your brand context, or derived from tracked keywords (search volume via a DataForSEO partnership). Once added, analysis runs on the daily schedule without further babysitting. A 0% row is a prompt you are absent from entirely — the sharpest kind of gap.

Prompt management tab listing prompts under a topic with visibility scores, region flags and execution counts
Visibility → Prompt. Topics group prompts; scores and regions are per prompt.

Terms on this screen

Prompt
A buyer question tracked against the engines, e.g. “Enterprise webinar platform pricing comparison”.
Execution
One prompt asked once, on one engine, in one region. Scores aggregate over executions.
Fan-out query
The sub-questions an engine expands a query into before composing its answer. Content that covers the fan-out set is what survives the engine’s dedup and answer-planning step.