Organic AI visibility · AI visibility tracking
AI Citation Tracking: know how often AI recommends you, and whether it’s growing
AI citation tracking measures every month how often AI engines mention and cite your brand for a fixed set of buyer questions, compared with your competitors.
A tool gives you a dashboard. We give you a prompt set built for your market, clean data, and a plain-English report on what moved and what to do about it.
AI Citation Tracking
On its own: priced on request. Included in every AI Search Retainer.
Why it matters
Why track AI visibility
You can’t improve what you only check by hand. And checking by hand misleads you: SparkToro found less than a 1 in 100 chance that AI returns the same list of brands twice for the same question.
One screenshot of ChatGPT naming you, or not naming you, proves nothing. A share of voice measured across many runs of the same prompts, month after month, does.
Measurement is also the hardest part for most teams. In the SEOFOMO State of AI Search Optimization 2026 survey, reliably measuring AI visibility was the most common challenge practitioners named (19%).
What we track
What we track
01
Share of voice
How often you appear in AI answers versus 3 named competitors, per engine and overall.
02
Mentions and position
Whether you’re named, and how early in the answer.
03
Citations
Which of your pages AI cites, and which third-party domains and pages it cites in your category.
04
Sentiment and accuracy
How AI describes you, and whether the facts are right.
05
AI traffic
Visits from AI engines in your analytics and, where available, Google Search Console’s generative AI performance report.
Engines: ChatGPT, Perplexity, Gemini, Google AI Overviews.
What you get
What you get
01
A prompt set for your market
30 buyer questions, agreed with you, grouped by topic and buying stage.
02
Tracking setup
Your prompts, your competitors, your markets.
03
Monthly report
Share of voice, citations and AI traffic against your baseline, with a short written summary: what changed, why we think it changed, and what we recommend.
04
Source list
The third-party pages AI cites most in your category. That’s your target list for PR and community work.
05
Raw data access
You see the same data we see.
06
Quarterly prompt review, so the prompt set keeps up with how your buyers ask.
Process
How it works
1
Kick-off
Your market, competitors and the questions buyers ask.
2
Prompt set
We draft it, you approve it.
3
Baseline
First full measurement across engines.
4
Monthly report
Same prompts, same engines, compared with the baseline.
5
Review
Every quarter we check whether the prompt set still reflects your buyers.
Full method: How we measure →
Who it’s for
- Brands already doing SEO or content work that want to know whether it shows up in AI answers.
- In-house teams with an AI visibility tool nobody has time to set up properly or interpret.
- Leadership teams that want one honest number on AI visibility each month.
Who it’s not for
- Teams that want a daily ranking of “position in ChatGPT”. That number doesn’t hold still long enough to mean anything.
- Anyone looking for tracking that proves revenue from AI. We show AI traffic and leads where your analytics allow it, and we’re clear where attribution stops.
Why DatGrowth
Why us, not just a tool
| AI visibility tool | DatGrowth tracking | |
|---|---|---|
| Prompt set | You write it | Built from your market, approved by you |
| Competitors | You pick | We research and agree them with you |
| Interpretation | Charts | A written summary and recommendations |
| Data sources | One vendor | Two independent sources, cross-checked |
| Next step | Up to you | A source list and a plan, if you want us to act on it |
Not only did they set clear, achievable goals, but they also provide us with regular, detailed reports that show their strategies are not just theories, but effective actions leading to solid improvements in our web traffic and conversions.
Piotr Depta, Growth Manager, ZEN
FAQ
AI citation tracking FAQ
What is AI citation tracking?
AI citation tracking measures how often AI engines mention and cite your brand when people ask questions about your category. It uses a fixed set of prompts, runs them repeatedly across engines, and reports your share of voice and the sources AI cites, compared with competitors.
Why not just check ChatGPT ourselves?
Because a single check is noise. AI answers change from run to run, by user and by day. SparkToro found less than a 1 in 100 chance of getting the same list of brands twice. Tracking the same prompts across many runs is the only way to see a real trend.
What’s the difference between a mention and a citation?
A mention is when AI names your brand in the answer. A citation is when AI links to or lists your page as a source. You can be mentioned without being cited, and cited without being named. We track both, because they point to different fixes.
Which tools do you use?
A dedicated tracker for prompt-level data across AI engines, plus a second, independent index of AI answers and cited pages. We also use Google Search Console and your analytics for AI traffic. We choose tools by data quality and switch when a better one appears. You always see the raw data, so you can check our numbers.
How many prompts do we need?
Enough to cover your main services and buying questions, without padding the list. For most clients that’s around 30 prompts. More prompts cost more to run and don’t always tell you more.
Can we buy tracking without the rest of the retainer?
Yes. AI Citation Tracking is available on its own, priced on request. Many clients start here, see the gap, and then decide whether to act on it.
Does tracking improve our visibility?
No. Tracking measures; it doesn’t change what AI says. It tells you where you stand, which sources matter, and whether the work you’re doing (with us or anyone else) is moving the numbers.
Get your baseline first.
The AI Visibility Audit sets the baseline that monthly tracking measures against. Already know your gap? Start tracking on its own.