# Glossary

> Quick definitions of the core KnitKnot terms — subject, prompt, run, evaluation, issue, playbook, and the rest — each linked to a fuller explanation.

- Section: Reference
- Updated: 2026-07-13
- Canonical: https://knitknot.ai/docs/glossary/
- Publisher: KnitKnot, the AI Presence Management platform (https://knitknot.ai)

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Short definitions of the terms used throughout KnitKnot and this documentation. Each links to a fuller explanation where one exists.

## Core objects

**Subject** — the thing a prompt benchmarks: either your brand or one of its products. One company has one brand subject and zero or more product subjects. The canonical way everything is scoped per-product. See [Subjects](/docs/subjects/).

**Brand** — your company as a whole; the top-level subject. A recommendation of any of your products counts as a brand win.

**Product** — a subject under your brand, with its own prompts, competitors, and report slice. See [Benchmark products separately](/docs/benchmark-products-separately/).

**Prompt** — one buyer-style evaluation question. Prompts live in a persistent **prompt library** that stays stable across runs, so your score stays comparable. See [Prompts](/docs/prompts/) and [Manage your prompt library](/docs/manage-your-prompt-library/).

**Run** — one full benchmark: your active prompt library executed across the selected engines and scored. Runs are the unit of measurement over time. See [Runs and scoring](/docs/runs-and-scoring/).

**Evaluation** — one scored AI response: a single prompt run against a single engine. The atom every metric is built from.

**Engine** — one of the four AI systems a prompt runs through: ChatGPT, Claude, Perplexity, Gemini. See [Engines](/docs/engines/).

**Competitor** — a vendor AI compares you against; head-to-head results are scoped to your competitor set. See [Manage competitors](/docs/manage-competitors/).

## Metrics

**AI Presence Score** — the 0–100 composite headline number. See [Metrics reference](/docs/metrics-reference/).

**Coverage** — the per-response label for how prominently you appear: primary, substantial, peripheral, incidental, or absent.

**Visibility rate** — the share of scored responses where you appear at all, computed organic-only (excluding prompts that name you).

**Win rate (W-L-T)** — of decided head-to-head comparisons, the share you won; ties count against you.

**Sentiment** — how favorably you're framed when you appear, on a 0–100 scale.

Full definitions: [Metrics reference](/docs/metrics-reference/).

## The fix loop

**Issue** — a tracked gap a benchmark surfaced (factual error, outdated claim, missed feature, losing comparison, visibility gap), with its evidence attached. See [Issues and playbooks](/docs/issues-and-playbooks/).

**Playbook** — an evidence-grounded create, revise, or repair brief linked to one or more issues and a measurable hypothesis.

**Source** — a web page present in a captured AI response's citations. A claim is attributed to that page only when a reliable response-native signal can be bound to the claim.

**Head-to-head (H2H)** — a comparison prompt that names you against a competitor. Excluded from organic visibility, counted in win rate.

## Access

**Workspace** — your company's shared data in KnitKnot. Teammates on the same email domain join the same account. See [Getting started](/docs/quickstart/).

**Public report** — a published, read-only report at `{workspace}.knitknot.io/reports/{slug}` that anyone with the link can open. See [Share your report](/docs/share-your-report/).

**MCP** — the Model Context Protocol connection that lets AI assistants query and act on your workspace. See [Connect to your AI tools](/docs/connect-to-ai-tools/).