Serp Metrics

Compute the impression-weighted average SERP position for a set of query rows, alongside the plain arithmetic mean and the gap between them. The arithmetic mean lets a 3-impression query count as much as a 30,000-impression one; the weighted figure describes where a typical impression actually happened. A positive weighting_shift means your high-volume queries rank worse than the unweighted average suggests.

Project how many clicks a set of query rows would earn at a target position instead of their current position, using a CTR curve THAT YOU SUPPLY. This server deliberately ships no built-in CTR table: every published average-CTR-by-position table is a third-party estimate over someone else's traffic, so applying one silently would disguise a guess as a measurement. Pass your own measured curve (Search Console clicks/impressions by position is the honest source). Positions between curve points are linearly interpolated; positions beyond the curve clamp to the last point rather than extrapolate, and are counted in clamped_row_count. If any row carries observed clicks, the output also reports how far the supplied curve is from your reality.

Compute share of voice across competing entities over a keyword set. Reports impression share always, and, if you supply a CTR curve, a weighted visibility share that accounts for the fact that an impression at position 1 is not worth an impression at position 9. Impression share is share of the supplied set only and says nothing about keywords you did not supply.