Semantic Map

Last updated on Jul 09, 2026

The Semantic Map shows the world of topics AI engines connect to your brand — the themes, categories and sub-questions that surround you in AI answers, visualized as an interactive bubble chart.

What you'll see

AI Rankia — Semantic Map topic atlas bubble chart with coverage and market volume

  • Topics — the number of distinct topic clusters AI ties to your brand.
  • Market volume — the total search/answer opportunity across every topic combined.
  • Your coverage — the percentage of that market you currently show up in.
  • Topic Atlas — a bubble chart where each bubble is a topic: size = market volume, position = your coverage vs. how often the topic comes up. The "big market, low coverage" corner is where the biggest wins are hiding.
  • Opportunity vs. Semantic toggle — switch between "where should I attack first" and "how my topics relate to each other" views.

The three-step workflow

  1. Discover map — AI Rankia crawls your site and groups what it covers into topics.
  2. Measure visibility — for each topic, it checks how often AI engines cite you when answering questions in that space.
  3. Monitor — once you know your gaps, turn the biggest ones into tracked prompts or content briefs.

How to use it

  1. Open AI Visibility ▸ Semantic Map for the selected brand.
  2. Look at the Topic Atlas and find bubbles in the "big market, low coverage" zone — these are topics you're relevant to but AI rarely credits you for.
  3. Click a bubble to see the specific keywords and sub-topics behind it.
  4. Send the biggest gaps to Content to build coverage, or add them as prompts in Add Prompts to start tracking them.

Tip: Strong topical coverage is what makes AI engines confident enough to recommend you. A brand covering 94% of its market (like the example above) rarely gets skipped when AI answers a question in its space.