SurgeAtlas
SurgeAtlas · Metodologia

Metodologia

Come SurgeAtlas scopre, valuta, verifica, prepara e aggiorna le pagine dei trend.

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1. Discovery

The discovery layer monitors public trend feeds across supported countries. Each observation stores the query, market, approximate demand label, first-seen time, last-seen time and the public source that exposed the signal.

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2. Opportunity scoring

SurgeAtlas combines current demand, momentum, recency, cross-market presence, evergreen potential and topic-risk checks into an internal opportunity score. The score is a SurgeAtlas ranking signal; it is not a metric supplied by Google and it is never presented as an absolute search-volume guarantee.

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3. Verification

For each high-priority trend, SurgeAtlas looks for recent source coverage, inspects publisher metadata, records source timestamps where available and keeps links to original pages. Claims that cannot be supported by the collected evidence are not supposed to be invented to fill space.

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4. Search-interest history

Charts use observations stored during repeated collection runs. They grow as the system observes the topic again. SurgeAtlas does not fabricate a historical line merely to make a chart look fuller.

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5. Publication stages

SurgeAtlas uses two publication stages. A live snapshot can surface once a real search signal has been collected and a useful page can be assembled from stored observations and source records. Richer facts, source diversity, imagery and explanatory context are added as verification improves. The system does not wait for a visitor click to create either stage.

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6. Updating

Active topics are revisited in the background. New coverage can update the timeline, facts, media, related topics and search-interest history. Cooled topics remain available when they still provide useful context.