AI Visibility Monitor shows whether AI answers mention a brand, which competitors receive more visibility, which pages are repeatedly cited, and whether those signals are improving or disappearing over time.
It replaces manual weekly prompt checks and disconnected spreadsheets with comparable evidence. Results retain the selected AI dataset, market, language, observation time, estimated prompt demand, and source limitations so teams can distinguish measured visibility from a guaranteed ranking.
What you can do
- brand_visibility β measure mentions, estimated demand, source domains, and related entities
- compare_competitors β compare two to ten brands and calculate share within that requested set
- citation_opportunities β find pages most often cited for a topic
- prompt_demand β estimate which conversational prompts have meaningful demand
- visibility_trends β track newly gained and lost mentions across a date range
Who it's for
SEO and communications agencies, brand teams, founders, and content strategists who need repeatable AI search evidence and client-ready comparisons.
How to use it
- Measure the brand in one explicitly chosen dataset and market
- Compare the same market against named competitors
- Inspect cited pages and prompt demand before planning content
- Re-run an equivalent date window and use trends to separate gains from one-off observations
Getting started
Call brand_visibility with an exact brand name, then keep the same platform, language, and market when comparing competitors or measuring change.