What tools exist for monitoring AI narratives?
AIQ is built for AI reputation tracking; Profound, Peec, Otterly, and BrandRank are GEO visibility tools. The two categories differ in what they measure - mention presence versus narrative quality - and which team they serve.
The tools in the market fall into two categories that are easy to confuse but answer different questions. GEO visibility tools measure whether a brand shows up in AI responses; AI reputation tools measure what the engines say when they do mention it. Which one fits depends on the team that owns the budget and the question it is trying to answer.
GEO visibility tools
Tools such as Profound, Peec, Otterly, and BrandRank poll AI engines with a defined prompt set and report whether, and how often, a brand appears or is cited in the responses. They are competent at what they measure and are well suited to marketing teams tracking AI presence as a channel.
AI reputation tools
The reputation category, which AIQ is built for, measures the substance of the mention rather than the fact of it: source attribution, sentiment, recurring themes, peer comparison, and narrative trajectory over time. This serves communications, corporate affairs, and crisis teams whose KPIs are about narrative quality rather than mention count.
| Dimension | GEO visibility tools Profound, Peec, Otterly, BrandRank |
AI reputation tools AIQ |
|---|---|---|
| What it measures | Whether and how often the brand appears or is cited in AI responses (presence, mention count) | What the engines say about the brand: source attribution, sentiment, themes, peer comparison, narrative trajectory |
| Core question | Are we showing up in AI answers? | What is the AI narrative about us, and where is it moving? |
| Which team it serves | Marketing teams tracking AI presence | Communications, corporate affairs, and crisis teams |
| KPI focus | Mention count and visibility | Narrative quality and accuracy |
Running both
The categories are not mutually exclusive. Some clients run a GEO tool and AIQ in parallel for different uses. The choice comes down to what the team owning the budget is actually trying to measure, and which P&L line it sits on.
Last reviewed: 19/05/2026