Measure how AI answers represent your brand

What an AI visibility platform does

An AI visibility platform monitors how answer engines describe, mention, rank, and source a brand within a repeatable set of questions. It turns individual AI responses into scoped measurements without hiding the prompts, answers, or citations behind a single score.

What simplyBrand measures

Each measurement is tied to a period and a defined engine and market scope. The workspace presents the metric with its sample size and links back to the answer evidence.

• Visibility shows the share of eligible category answers that mention your brand.
• Share of Voice compares your brand-mentioning answers with those of tracked competitors.
• Citation views show the domains and pages exposed as sources by citation-capable engines.
• Sentiment review classifies how answers that mention the brand speak about it and reports judge coverage.

From questions to actions

Monitoring follows a consistent evidence loop so teams can distinguish an observed answer from an interpretation or recommended action.

• Configure the brand, confirmed aliases, competitors, markets, topics, question modes, and engines.
• Capture answers under a recorded prompt-set and engine basis.
• Review metrics, excerpts, full answers, citations, and coverage caveats together.
• Prioritize content and proof gaps and then compare later runs on the same basis.

Metrics stay close to evidence

Every measurement begins with captured answer text. Mentions are detected from confirmed aliases, citations are retained as full URLs, and engine and prompt context stays attached to the observation.

This traceability helps a team investigate why a metric moved instead of treating a dashboard number as a claim that cannot be checked.

Who uses AI visibility monitoring

The platform is designed for teams that need an operational view of brand representation across AI answers rather than occasional manual screenshots.

• Brand and marketing teams compare presence across engines and markets.
• SEO and content teams identify missing definitions and source-worthy evidence.
• Market intelligence teams review competitor mentions and sourcing patterns.

What the platform does not claim

Results describe a configured sample, not every possible AI question. Answers can vary and models can change. A metric change is an observation under the recorded basis; it does not by itself prove that a specific optimization caused the change.

Explore the measurement system

Review the metric contract or go deeper into source and competitor monitoring.

• Read the measurement methodology
• Explore AI citation tracking
• Explore competitor AI visibility