Answer-first capsule:
To track AI visibility, run a fixed set of buyer prompts across ChatGPT, Perplexity, Google AI Overviews, and Gemini on a schedule, then log whether your brand is mentioned, cited with a link, or absent. Because engines barely overlap, you measure each one separately and watch the trend, not a single snapshot.
What "AI visibility" actually means
AI visibility is how often your brand shows up when someone asks an AI engine a question you should answer. It is not one number. A brand can dominate Google AI Overviews and be invisible in Perplexity. Across an analysis of 680 million citations, only 11% of domains were cited by both ChatGPT and Perplexity. So "are we visible?" has to be answered per engine.
There are two things worth counting, and they are not the same:
Mentions — your brand name appears in the generated answer.
Citations — your brand appears with an attributed source link.
Citations matter more because they can send traffic and because they signal the engine trusts your page as a source. A 2026 study of 34,234 AI responses found ChatGPT cited brands 0.59% of the time versus 13.05% for Perplexity, a 46x gap. Track both, but treat citations as the harder currency.
The four metrics to track
| Metric | What it answers | How to read it |
|---|---|---|
| Mention rate | % of your prompts where the brand appears at all | Baseline presence |
| Citation share | % of prompts where you appear with a source link | Trust + traffic potential |
| Share of voice | Your mentions vs named competitors | Competitive position |
| Sentiment | How the engine frames you | Reputation, accuracy |
Absolute numbers lie in isolation. A brand sitting at 22% share of voice while a competitor climbs from 10% to 19% is losing ground even with a higher raw score. Always track against a fixed competitor set and watch the direction of the line.
How to build a tracking routine
Write your prompt set. Pick 20 to 50 real buyer questions — problem-aware ("how do I reduce X"), category ("best tools for Y"), and branded ("is [you] good for Z"). Keep the list frozen so results are comparable week to week.
Choose your engines. At minimum ChatGPT, Perplexity, Google AI Overviews, and Gemini. Add Claude and Copilot if your buyers use them.
Run on a schedule. Answers drift. A one-time check is a screenshot, not a trend. Weekly is the practical floor; daily catches volatility.
Log the outcome per prompt. Mentioned yes/no, cited yes/no, position, competitors present, sentiment.
Compare over time. The point of tracking is the delta. Did the content change you shipped move mention rate on Perplexity? You only know if you were logging before and after.
Manual vs automated tracking
You can do this by hand: open each engine, paste each prompt, record what you see. That works for a first audit and it is honest — you see exactly what a buyer sees. It does not scale. Fifty prompts across five engines weekly is 250 checks, and answers vary between runs, so you need repetition to smooth the noise.
Automated monitoring runs your frozen prompt set across engines on a schedule and stores every result, so the trend line builds itself. That is the difference between "we checked once" and "we know our citation share on Perplexity dropped 6 points after the redesign."
Common mistakes
Tracking one engine. Google is not the whole picture. Overviews now appear in roughly half of searches, but Perplexity and ChatGPT source completely different domains.
One-off snapshots. Without a baseline you cannot prove any change worked.
Rotating the prompt list. Change the prompts and you break comparability. Freeze them.
Counting mentions only. A mention with no link rarely sends traffic. Separate mentions from citations.
FAQ
How do I track my brand's visibility in ChatGPT?
Run a fixed set of buyer prompts in ChatGPT on a schedule and log whether your brand is mentioned and whether it is cited with a source link. Repeat weekly and compare the trend. Manual works for a first audit; a monitoring tool scales it.
Is tracking Google AI Overviews different from ChatGPT?
Yes. The engines cite largely different sources, so you must track each separately. Ranking in Google AI Overviews does not mean you appear in Perplexity or ChatGPT.
How often should I check AI visibility?
Weekly is the practical minimum because AI answers drift between runs. Daily tracking catches volatility around launches or content changes. One-time checks only give you a snapshot with no trend.
What is the difference between a mention and a citation?
A mention is your brand name in the answer text. A citation is your brand with an attributed source link. Citations can drive traffic and signal trust, so track both but weight citations higher.
Can I track AI visibility for free?
You can run prompts manually across engines at no cost for a first audit. SEO AEO Specialist has a free tier at €0 that scans up to 50 pages so you can see where you stand before committing to ongoing monitoring.
Do I need a paid tool to track AI visibility?
Not to start. A manual audit or a free scan tells you your baseline. Paid monitoring earns its place when you need scheduled, repeatable tracking across many prompts and engines with the trend stored for you.
Start with a free scan (€0, up to 50 pages) to see where your brand stands across AI engines today. Want a full snapshot on demand? Pull a one-time report for €9. Ready to watch the trend? Ongoing AI visibility monitoring is €19/mo per domain. See the AI Search Visibility hub for the full framework.
AI Search Optimization: Tactics to Get Cited in AI Answers
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