To track AI visibility, pick a fixed set of buyer-style prompts, run them across the AI assistants your buyers use, and record four things over time: whether you are mentioned, whether the description is accurate, who shows up instead of you, and which sources get cited. The point is a trend you can act on, not a single vanity score. AI answers vary between runs, so a consistent method matters more than a fancy dashboard.
I’m Andrii Byzov, a fractional CMO for B2B tech. Teams often run a one-time audit and stop, then wonder why nothing changes. Tracking is the ongoing loop that makes the audit pay off. Here is the method I use. It builds on my AI search visibility audit, which is the baseline this cadence keeps fresh.
Key takeaways
- Track a fixed prompt set the same way each time. Consistency beats frequency.
- The four metrics that matter: presence, accuracy, share of voice, cited sources.
- Cited sources are the most actionable output, because they show where to earn mentions.
- A monthly cadence suits most B2B teams, plus spot-checks after big pages or model updates.
- Tracking only pays off if it feeds action: content, entity, and earned-mention work.
Audit versus tracking
An audit is a baseline. It tells you where you stand right now across the questions that matter. Tracking is the repeated measurement that tells you whether your work is moving the needle. You need both. The audit sets the prompt set and the starting numbers. Tracking runs that same set on a schedule so the trend, not a one-off snapshot, drives decisions.
The four metrics that matter
| Metric | What it tells you | How to read it |
|---|---|---|
| Presence | How often you are mentioned for your prompts | Rising presence can suggest your moves are landing |
| Accuracy | Whether the facts about you are right | Wrong facts are urgent; they mislead buyers |
| Share of voice | Who appears instead of you | Shows competitive gaps to close |
| Cited sources | Which pages engines pull from | Your roadmap for earned mentions |
Presence and accuracy tell you where you stand. Share of voice gives context. Cited sources tell you where to act, because if AI answers lean on a handful of third-party pages, being present on those pages may be one of the clearest levers you have.
Setting up the cadence
- Fix your prompt set. Use the real questions your buyers ask, in the categories you want to win. Twenty to fifty prompts is plenty to start. Do not change them casually, or you lose the trend.
- Choose your assistants. Track the ones your buyers actually use. Coverage matters more than chasing every model.
- Run on a schedule. Monthly works for most B2B teams. Run the same prompts the same way each time so results are comparable.
- Log consistently. A spreadsheet works at small scale: prompt, assistant, mentioned yes or no, accuracy note, competitors seen, sources cited. Tools help once this gets large, as I cover in best AI visibility tools 2026.
- Spot-check on events. After you publish a major page or a model updates, do a quick manual check rather than waiting for the monthly run.
Turn measurement into action
Tracking is only worth the effort if it changes what you do. Each cycle, pick the gaps with the most leverage and act:
- Wrong facts about you? Fix entity and brand-fact consistency across the sources engines read.
- Absent for a key prompt? Build or improve an extractable page that answers it directly.
- Competitors cited from third-party pages? Plan earned mentions on those same sources.
- Accurate and present already? Leave it alone and spend the effort where the gap is real.
A fair caveat on measurement: AI answers are probabilistic and shift between runs and over time, so treat the numbers as directional, not exact. The trend across a stable prompt set is more useful than any single answer. Any single answer is a sample, not a verdict.
If you want help setting up the prompt set, the cadence, and the action loop, that is part of what I do as a GEO consultant for B2B SaaS. You can reach me on LinkedIn.
FAQ
How do you measure AI visibility? Run a fixed set of buyer prompts across the assistants, and log presence, accuracy, competitors, and cited sources over time.
What metrics matter? Presence, accuracy, share of voice, and cited sources. Presence and accuracy show where you stand, cited sources show where to act.
How often should I check? Monthly suits most teams, plus spot-checks after major pages or model updates. Consistency of method matters more than frequency.
Can I track it for free? Yes, partially, by manually querying the assistants and logging results. Paid tools help at scale across many prompts, models, and competitors.