SearchestraMulti-Platform Aggregation: One Number Across Many AI Engines
You are visible on nine AI engines, each with different behavior. Collapsing them into a single number is tempting, but a blended score can hide that you dominate one engine and are invisible on another. Multi-platform aggregation is useful for a headline, dangerous as the only view, and only honest when the per-engine detail is still available underneath.
Why a blended score can lie
If you are strong on one engine and absent on three others, a single average can read as moderate, hiding both the strength to defend and the gaps to fix. Aggregation smooths over exactly the platform-driven differences that matter for strategy. It is a summary, not a substitute for the detail.
When to aggregate, when to split
| Use a blended number for | Use per-engine detail for |
|---|---|
| A single executive headline | Deciding where to act |
| Tracking overall momentum | Catching platform-driven bias |
| A leaderboard summary | Diagnosing a specific weakness |
Honest aggregation keeps the detail
A blended number is fine as long as the per-engine breakdown is one click away and the weighting is disclosed. Hidden aggregation, where you cannot see the components, is where platform bias slips through. See prompt and platform bias.
The Searchestra view
Searchestra reports per engine and lets you roll up to a summary, rather than starting from a blended score, so aggregation is a convenience layered on top of transparency, not a way to hide it.
A blended cross-engine score is a useful headline but a dangerous only-view; aggregate honestly by keeping per-engine detail and disclosed weighting underneath.
Frequently asked questions
Should I use one AI visibility score across engines?
As a headline, yes, if the per-engine detail is available underneath. As the only view, no, because it hides platform-driven differences.
Why can a blended score mislead?
Because strength on one engine and absence on others can average to a moderate number, hiding both the win and the gap.
What makes aggregation honest?
Disclosed weighting and per-engine detail one click away, so you can see the components behind the summary.