Example check
Weekly brand visibility monitor
ChatGPTLatest
Brand visibility
63.4%
n=142/224 mentions / valid
Prompt coverage71.7%
Google AI OverviewLatest
Brand visibility
41.7%
n=93/223 mentions / valid
AIO trigger rate78.0%
Periodic AI visibility monitoring
See when AI answers mention your brand.
Repeat the same prompts on schedule, compare enabled AI surfaces independently, and inspect the evidence behind every metric.
Fixed Prompt panelComparable checks over time
Evidence per sampleAnswers and sources retained
Completed
Each
AI surface stays separate
N
shown with every metric
Raw
answers and sources retained
No
blended cross-surface score
Why repeat checks
AI answers vary. Your measurement shouldn't.
Anspectra treats every answer as a sample and every AI surface as an independent measurement layer.
- One response
- A sample, not a ground truth. Repeat sampling exposes normal answer variance.
- One blended score
- A hidden tradeoff. Every AI surface stays separate at every level.
- One missing result
- A state to inspect. A valid no-overview result is different from a provider failure.
Inspectable metrics
Every percentage comes with its denominator.
Provider failures stay out of the denominator. Results remain separate for every AI surface.
Brand visibility
Brand mentions / valid samples
Shows how often the target brand appears in valid answers for one AI surface.
Prompt coverage
Visible Prompts / measured Prompts
Shows how broadly the brand appears across the Prompt panel, not just repeated samples.
AIO trigger rate
AI Overviews returned / valid Google samples
Distinguishes a valid search without an overview from a collection or parsing failure.
Citation rate
Answers with citations / valid samples
Links a top-level rate back to the cited sources and underlying response.
Monitoring loop
A repeatable path from Prompt to evidence.
Define
Build a stable Prompt panel
Import or edit Prompts by Topic, then confirm the brand aliases, market, language, and sample count.
Check
Repeat it on schedule
Run the same frozen Dataset revision across every enabled AI surface, with retries tracked separately.
Compare
Trace what changed
Review surface-level trends, Topic shifts, answers, citations, and the exact evidence behind each sample.
Evidence trail
Follow every metric back to one answer.
Anspectra reruns the same frozen Prompt on each AI surface, preserves every outcome, and lets you inspect the answer and sources behind any change.
AI surfaces stay separate
The same frozen Prompt is sampled independently on every enabled AI surface. No blended score hides the difference.
Every sample keeps its meaning
Answers, valid no-overview results, brand matches, and provider failures remain distinct, so the denominator stays honest.
Each result keeps its evidence
Answer text, matched aliases, citations, parser version, response hash, and protected raw artifacts stay connected.
Built for teams that report change, not snapshots.
Brand and GEO teamsMonitor how the same buyer questions change across time.
Agencies and analystsExport evidence-backed results without blending AI surfaces.
Know what changed before the next report.
Start with a fixed Prompt Dataset, then let every scheduled Check add another comparable point to the history.