LLM Visibility Tracking.
If you can't see it, you can't grow it.
LLM visibility tracking measures whether, how often and how favorably AI assistants mention a brand when people ask them questions in its category. A fixed set of prompts is run on a schedule across ChatGPT, Perplexity, Gemini, Copilot and Google AI Mode, and the results are scored for citation share, citation order, recommendation versus mention, sentiment and competitor share of voice. Bonsai Marketing runs this on the BonsaiX platform for every AI search program and as a standalone monthly service for brands that want the measurement before the work.
The case for
getting this right.
AI answers are invisible in Google Search Console and analytics. A brand can be losing category demand inside assistants for a year and see nothing in its dashboards except a slow decline in branded search.
Ad-hoc checks mislead. The same prompt gives different answers on different days and different platforms. Only a fixed prompt set, re-run on a schedule, separates real movement from noise.
Sentiment matters as much as presence. A model that mentions you but describes you inaccurately, or recommends a competitor in the same breath, is a problem you cannot fix until you can see it.
What ships.
No scope drift.
Activity is easy.
Outcomes count.
- → Overall visibility score and trend
- → Per-platform visibility, since Gemini and Perplexity behave differently from ChatGPT
- → Topic-level scores, so you can see which service lines the models know
- → Sources the models cite for your category, which becomes the citation target list
Measured on the BonsaiX platform and reported monthly. Results vary by starting position, competition and how quickly decisions get made.
Four phases.
No mystery.
Prompt set
We build the prompt set with you from search data and sales conversations. Getting the questions right is most of the value.
Baseline run
First full run across five platforms. You get the score, the confusion report and the list of sources the models trust in your category.
Schedule
Runs repeat on a fixed cadence so movement is comparable month to month.
Report and act
Monthly read with the changes that mattered. Tracking on its own is a dashboard; paired with GEO and AEO it is a feedback loop.
Three ways
to work together.
Baseline
Fit One full run to see where you stand.
- ✦ Prompt set design
- ✦ Five-platform run
- ✦ Confusion and source report
- ✦ Written read
One-time engagement.
Monthly
Fit Ongoing measurement with a monthly read.
- ✦ Everything in Baseline
- ✦ Scheduled runs
- ✦ Trend and competitor share
- ✦ Monthly report
Month to month, cancel anytime.
Integrated
Fit Tracking as the feedback loop for an active GEO and AEO program.
- ✦ Everything in Monthly
- ✦ Per-market prompt sets
- ✦ Recommendation-to-action loop
- ✦ Quarterly executive review
Included in Foundation and Authority AI Visibility programs.
Bonsai Marketing — our own brand is tracked on 7 topics and 39 prompts; the numbers in our plans come from this system
See the full portfolio →
Questions,
answered honestly.
01 Can we track without buying an optimization program? +
02 How many prompts do you track? +
03 Which platforms are included? +
04 Is this the same as rank tracking? +
05 Can our agency or in-house team use the data? +
Start with the
assessment.
A research-backed read on your search, local and AI visibility before any work is proposed. You keep the findings whether or not you hire us.