AI & LLM Visibility Tracking

You can't fix what you can't see.

Tracking whether AI assistants actually mention, cite, or recommend your business when a buyer asks a relevant question, and how that changes as GEO work lands.

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How We Think About This

The Problem

No visibility into how AI sees you

Most businesses have zero data on whether, or how, they're mentioned when someone asks an AI assistant a relevant question.

The Impact

Can't tell if GEO work is landing

Without tracking, there's no way to know whether AI-visibility investment is actually improving anything or just going nowhere.

The Solution

Structured, repeatable prompt monitoring

A recurring set of realistic buyer questions run against major assistants, logged and tracked over time.

What This Covers

What we track

Prompt-based monitoring

Running a set of realistic buyer questions against major AI assistants on a recurring basis to see if, and how, your business comes up.

Citation & mention tracking

Recording when an assistant names your business specifically versus a competitor, and what source it appears to be pulling from.

Sentiment and accuracy checks

Confirming what AI assistants say about your business is accurate, not outdated or wrong, since models sometimes work from stale training data.

Trend reporting

Visibility change over time as GEO work goes live, so you can see the connection between technical work and actual citation rate.

Honest Caveat

This measurement space is still young

Unlike Google Search Console, there's no standardized, official reporting tool for AI citation tracking yet. We use structured, repeatable methods to approximate it as reliably as the current tooling allows, and we'll tell you plainly where the measurement is solid versus directional.

Real client, real numbers

5.6x clicks · 5.1x impressions

Google Search Console data for optimabags.com, before and after Afily's SEO/GEO work went live. This is the one client whose numbers we can show you in full.

Read the case study →