Generative Engine Optimization
What monitoring protects.
AI Visibility
AI Brand Monitoring
Model behaviour changes without notice. A quiet update can remove you from answers you held last week, and nothing in your analytics will tell you.
At a glance
- Pillar
- AI Visibility
- Cadence
- Weekly
- Engines
- 6
- Measured on
- Drift and share
- Standalone
- Yes
AI brand monitoring is the continuous measurement of how answer engines describe and recommend a brand, run on a fixed prompt set so that changes are attributable rather than anecdotal.
AI Brand Monitoring · definitionWhy losses here are invisible
If a model stops naming you, the traffic that never arrives leaves no trace. The loss is invisible until pipeline softens a quarter later.
There is no referral log for an answer
Losses do not appear in analytics. They appear in your pipeline, late.
Description errors spread
A wrong price or discontinued product repeated across answers becomes the consensus.
Competitors move in the same window
Displacement is gradual and specific, one prompt cluster at a time.
How it works
Build the prompt set
Curated buyer-intent prompts per category, refreshed quarterly as language changes.
Run it weekly
Six engines, same prompts, recorded answers and cited sources.
Separate noise from change
A senior strategist reviews movement before it becomes an alert.
Alert with context
You see the prompt, the answer text and what changed.
Act under a playbook
Agreed interventions so remediation starts in days, not quarters.
What is included
01
Curated prompt set
Commercially meaningful questions, not volume.
02
Weekly scans
Six engines, recorded and diffed.
03
Drift alerts
With prompt, answer text and diagnosis.
04
Competitive tracking
Who appears beside you and in what order.
05
Description audit
Category, pricing and claims checked against fact.
06
Monthly review
Interpreted, not just dashboarded.
How it is measured
A fixed prompt set run on a schedule across six answer engines, so changes are attributable rather than anecdotal.
- Recommendation share: presence on vendor-selection prompts, week over week
- Citation share: attributed appearances on informational prompts
- Description accuracy: category, pricing model, audience and claims
- Competitive set: who appears beside you and who displaces you
- Drift alerts: material movement flagged with the changed answer text
Baseline figures · to supply per client
A rank tracker will not catch this
| Dimension | Rank tracking | RankingBite |
|---|---|---|
| Unit tracked | A keyword position | A generated answer and its sources |
| Question form | Short query strings | Buyer-intent prompts, including comparisons |
| What can break | You drop a position | You are omitted, misdescribed or replaced |
| Cadence | Daily but shallow | Weekly and interpreted |
| Response | A report | An alert with a named owner and a remediation path |
When monitoring earns its place
A good fit when
- AI answers already influence buying decisions in your category.
- You have made visibility investments and need to know whether they hold.
- Someone on your side can act on an alert within days.
Not the right service when
- You have no AI presence yet: build it before you instrument it.
- You want a dashboard nobody will read.
- Your category sees negligible assistant usage.
Monitoring can run standalone alongside an in-house team. We would rather it came with the ability to act on what it finds.
Frequently asked questions
How many prompts do you run?
Enough to cover your commercially meaningful questions without diluting the signal, refreshed quarterly. Bigger prompt sets are not automatically better.
Why weekly rather than monthly?
Because models change faster than a monthly cycle can catch, and remediation is cheapest in the first days after a shift.
What happens when drift is detected?
A senior strategist reviews it, distinguishes noise from real change, and either acts under an agreed playbook or brings you a recommendation.
Can we monitor competitors too?
Yes. The same prompt set records which brands appear, in what order and with what framing, which is usually the most useful part of the report.