// Answer Monitor · Early Access

When AI answers your customers, is it telling the truth about you?

Answer Monitor tracks how AI models describe, cite, and recommend your brand across every major engine. Built for crypto and fintech, and measured like polling, not rank tracking. Per engine, sampled repeatedly, with the error bars shown, so a real move never hides behind a single number.

// The problem

The AI's answer is your first impression.

When someone asks ChatGPT about your company, the reply reaches your customer directly. No click. If it's wrong (a defunct product, a chain you never launched on), that lands as fact. Answer Monitor is how you find out.

// How it works

Query, extract, check, alert.

01

Query

On a schedule, we ask the major AI engines the questions your customers ask: "What is X?", "Is X audited?", "X vs competitor?", "Who founded X?"

02

Extract

We pull the claims each model makes about you, the sentiment behind them, and the exact sources it cited to build the answer.

03

Check

Every claim is checked against a ground-truth fact sheet you maintain: ticker, chains, founders, audits, products, partnerships.

04

Alert

You get alerted before your customers see it, whenever the AI's story drifts from the truth: a wrong figure, a defunct product, an invented partnership.

// What it watches

Not just citations. The whole answer.

Mentions

How often your brand is named in the answer text itself, across a panel of buyer prompts, and whether you're recommended ahead of competitors.

Citations

How often your domain is used as a source, and which competitor domains get cited instead of you. Reported separately from mentions, never averaged with them.

Factual accuracy

Whether the models describe you correctly, or repeat outdated, wrong, or invented facts.

Sentiment & framing

The tone AI uses about your brand, and how it frames you next to alternatives.

Drift over time

Model updates change answers overnight. We track the shift so a bad update doesn't quietly cost you.

Cross-engine coverage

ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews rarely agree. Most citations appear on just one. We watch all of them.

// Why two numbers, not one

Most of your AI citations never say your name.

Being cited means the answer used your page as a source. Being mentioned means the answer said your brand name. Buyers only see the second one. Most tools average the two into a single visibility score, which hides the gap between them.

61.7% of citations are "ghost citations": your page is the source, your name is never said
13.2% of appearances earn both a citation and a mention
−0.229 correlation between citations and mentions across 1,094 categories, so they move independently

Figures from Kevin Indig's Growth Memo, produced with Semrush: 3,981 domain appearances across 115 prompts, 14 countries and 4 engines for the ghost citation split, and 1,094 US categories on ChatGPT for the correlation. Read them with the caveats. Semrush sells a tool that tracks both metrics, so the finding argues for its own product, and its co-published version is not an independent replication. The dataset records whether a brand appeared, not the sentiment around it, so a mention is not necessarily a good mention. We report the split because it holds across two datasets and because the alternative, one blended number, is provably an average of two things that do not move together.

// Where it fits

The middle of the engine.

Free tools show you the gap. A Category Ownership Map shows where you stand across your market. Answer Monitor watches it live, and our programmatic SEO and GEO closes it.

DiagnoseFree tools
MonitorAnswer Monitor
ScaleProgrammatic SEO & GEO

Get on the early-access list.

Answer Monitor is rolling out to a first set of crypto and fintech brands. Tell us about yours and we'll set up a monitored panel of prompts for your first scan.