How to Use the Semantic Scatter Map in AmICited

The Semantic scatter map plots everything around a prompt — the prompt itself, its fan-out queries, the cited URLs and even page-content elements — by meaning, so related things sit near each other. It’s a visual answer to “is my content semantically close to what AI engines actually cite for this question?”

Where to find it

Scroll to the bottom of the prompt detail page to Semantic scatter map, subtitled “Prompt, queries, cited URLs, and page content plotted by semantic similarity.”

What you’re looking at

• Each point is an item — its type set by the toggles above the map: Prompt, Query, URL, Title, H1–H6, Paragraph.
• Distance = similarity. Points close together are semantically related; distant points are off-topic for this prompt.
• The domains panel on the right lets you color, locate and hide specific domains (the top domains by citations are colored, the rest gray).
• On-map hints — “Scroll to zoom · drag to pan · click a cluster label to focus” — and a note of any pages skipped because they couldn’t be read.

How to use it

1. Find the main cluster. The dense group near the prompt and its queries is the semantic “center of gravity” for this question.
2. Check where you land. Use the domains panel to highlight your own domain — are your pages inside that cluster or drifting on the edge?
3. Spot gaps. Sub-queries sitting alone, away from any cited URLs, are angles no one covers well — content opportunities.
4. Toggle layers to diagnose which part of your content (a weak title vs. thin paragraphs) is pulling you away from the cluster.