Run your first analysis and you’ll get back a list of opportunities, each with a score and one of three labels. Here’s what they actually mean, and how to use them to decide what to write next.
The three ratings
Covered means your site already has content that addresses this topic reasonably well against what competitors are publishing. It’s not that nothing’s there to improve — it just isn’t where the immediate opportunity is.
Partial Gap means you’ve touched the topic, but shallower than the competitive field around it. Maybe you’ve got one older post where competitors have several recent ones, or your coverage is narrower than the angle currently getting traction. These are often the fastest wins on the list — you’re not starting from zero, you’re extending something that already has a foothold.
High Gap means the topic is getting real coverage elsewhere and you have little or nothing addressing it. These are the highest-leverage opportunities on the board, but also the ones where a rushed draft will show — you’re building credibility from scratch on something readers may already expect a competent voice to cover well.
Where the score comes from
Each opportunity’s score reflects how the model weighed your existing coverage against the competitive and market signal you’ve configured — sitemap comparison, AI Scout results where you’ve opted competitors into it, and Market Momentum Sources if you’ve set any up. More signal generally means a sharper score, which is part of why filling in your editorial focus and adding a few competitors matters more than it might seem to at first.
Reading the dashboard visuals
Two charts sit above your results on the Dashboard, and both are worth a glance before you dive into individual cards.
The Gap Type donut shows the High Gap vs. Partial Gap split for the current run at a glance — useful for a quick read on whether this run turned up mostly quick extensions or mostly from-scratch opportunities.
The Gap Score bar chart puts every opportunity from the run on one shared scale, which makes it easier to compare across the whole list than scanning individual score rings one card at a time. If you’re trying to decide what to tackle first out of a dozen opportunities, this is the faster way to scan them.
A practical way to prioritize
Nothing forces you to work top-down, but a reasonable approach: start with High Gap items where you already have some authority in the surrounding topic — you’re not building trust from zero, just extending it into an uncovered corner. Follow with Partial Gap items, since those tend to be the cheapest to finish. Save the High Gap items furthest from your existing coverage for when you’ve got the research time to do them properly, since those are the ones where a thin draft undermines the credibility you’re trying to build.
What the score isn’t
It’s not a guarantee of traffic, and it’s not a replacement for your own editorial judgment about what’s worth your time. It’s a read on the competitive and market landscape as of the moment you ran the analysis — a strong signal for where attention is thin, not a verdict on what will perform once you’ve written it.
Checking token cost per run
If you’re curious what a given analysis cost in AI usage, the Dashboard’s Tokens Used stat shows total consumption for the run, with an input/output breakdown on hover. Since every token lands on your own provider bill, this makes that cost visible per report rather than something you only discover later on a statement.
— The TDX7 Team · synapseradar.com/