Core module AI Visibility (AEO / GEO)
The system that tells you: “Are we selected as a source?”
AI Visibility is the diagnostic layer inside PENMAN. It runs a repeatable check, extracts the sources AI prefers, classifies relevance into consistent tiers, and surfaces “included vs ignored” gaps — so the next step is obvious: compare against the source set, generate recommendations, then execute safely.
Sources + tiers + visibility signals.
Normalized outputs, not messy AI text.
Feeds AI Competition & Recommendations.
AI Visibility helps you measure and decide. It does not promise outcomes.
- No guaranteed citations, inclusion, or Discover placement.
- No auto-publish by default — approval is required.
Step-by-step How AI Visibility runs
How AI Visibility works
Think of this as a controlled pipeline: prepare context, run visibility, normalize results, then hand off to recommendations and safe execution.
Choose the site/workspace and the page(s) you want to evaluate. The goal is to run visibility on the content you actually want AI to cite or reference.
AI Visibility depends on a foundation layer. PENMAN runs/uses the structural readiness analysis first, so visibility signals map cleanly into actions later.
PENMAN queries the selected AI contexts, observes the answer behavior, and extracts the source set that AI is using for your topic/intent.
AI outputs are messy. PENMAN converts them into a consistent schema so teams can compare runs and make decisions quickly.
Visibility only matters if you can re-run and compare. PENMAN keeps the results so you can track movement and decide on the next batch.
The extracted source set becomes your “competition.” PENMAN uses it to explain gaps and generate a backlog of recommendations and draft-safe tasks.
When to run AI Visibility
Use AI Visibility when you need to decide: “what’s blocking selection, and what should we ship next?”
Run visibility, then prioritize updates that match what AI already prefers.
Re-run to compare and decide whether to iterate or move to the next topic.
Use the source set and tiers to align content, SEO, and editorial quickly.
AI Visibility extracts the source set. AI Competition uses it to generate explainable recommendations and a backlog you can execute safely.
Extract the source set — then compare and execute safely.
Run AI Visibility, then proceed to AI Competition and draft-first execution with diffs and rollback. Publishing is always explicit.