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FullReach AI puts a project’s prompts to the AI platforms on a schedule and keeps every answer. It counts every number it reports from those stored answers. This manual says how.

The unit: an answer

An answer is what one platform returned to one prompt in one market on one day. Every metric is a count over answers, or over the brand mentions found inside them.

The four headline numbers

Visibility

The share of analysed answers that name this brand.

Share of voice

This brand’s mentions against the mentions of every monitored brand.

Sentiment

How each mention of this brand is classified: positive, neutral or negative.

Recommendation

Whether an answer recommends this brand, mentions it, or advises against it.

Reference

Platforms

The AI platforms that FullReach AI collects answers from, and the slug each one carries.

Plan limits

What each tier may run, and the caps every organization shares.

MCP tools

Every tool the MCP server offers to an AI assistant, with what it takes.

MCP prompts

The ready-made analyses the server offers as slash commands.