How opportunity scores work

After a crawl, Noverva groups the terms your own pages use into topics and scores where your coverage is thin. Those scores are modelled, and the interface says so.

What a score is built from

Every score opens to show its breakdown: each signal, what it contributed, and where that signal came from. The signals are drawn from your own site — how often a topic appears, how well the pages covering it are internally linked, how cohesive the cluster is, and what intent the terms suggest.

Nothing in a score is a secret weighting. If a score looks wrong, open it, and the component that is wrong will be visible.

What is deliberately missing

Search volume and keyword difficulty. Noverva has no demand data connected, so opportunity scores contain none, and the screen says so rather than implying otherwise.

This is the single most common place an SEO tool quietly misleads: presenting a volume estimate bought from a third party as though it were a measurement of what people searched for. When demand data is connected, it will appear labelled reported — passed through from a provider, not counted by us.

Until then, a score tells you where your own coverage is thin. That is genuinely useful and it is less than a score that also knew what people were searching for. We would rather say which one you are looking at.

Reading a score sensibly

A high score means the topic is well represented on your site relative to others and the pages covering it are connected. A low one means the opposite. It does not mean "write this next" — that judgement needs demand data, your commercial priorities, and knowledge of what you can actually write about.

Treat the ranking as a shortlist to argue with, not an instruction.

Why they are recomputed rather than updated

Scores are derived from page captures, which are append-only. When the scoring rules improve, history is re-scored from the original evidence rather than left as two incompatible eras in one chart.