Interpreting trends
AI visibility is not static.
Models evolve, sources change, and responses vary by design.
Genwolf is built to help you see trends, not snapshots.
Why trends matter more than single results
A single AI answer tells you very little. It may:
This is normal.
What matters is what happens consistently over time.
Direction over magnitude
Focus on directional change:
Small absolute changes often don't matter. Sustained movement does.
A slow, steady increase is more meaningful than a one-time spike.
Compare against competitors, not yourself
Visibility is relative.
Always ask:
Trends only make sense in competitive context.
Prompt-level vs aggregate trends
There are two valid perspectives:
Prompt-level trends
Useful for diagnosing specific wins and losses.
Aggregate trends
Useful for understanding overall brand recognition.
Don't confuse the two. A single prompt drop does not invalidate a positive overall trend.
Sample size matters
Trends stabilize with volume.
With too few prompts or runs
- noise dominates
- conclusions are fragile
As you add more data
- more prompts
- more runs
- longer time ranges
Signals become more reliable.
Watch sources when trends change
Visibility trends often follow source changes.
If visibility shifts:
Sources explain why trends move.
Common trend misinterpretations
Avoid:
Genwolf shows signals, not guarantees.
Summary
Trends reveal how AI models learn and adapt over time.
If you track consistently and think relatively,
AI visibility becomes predictable enough to act on.