What are coverage, depth, and focus?
The three components of an intent-satisfaction score — how many intents a page addresses, how completely it answers them, and how little off-intent noise it carries.
Coverage, depth, and focus are the three components that make up an intent-satisfaction score. Each measures a different way a page can succeed or fail at answering the real demand it receives, and together they turn a single 0–100 number into a worklist you can act on.
A single score is only useful if it's built from things you can fix. "Your page scores 64" tells you nothing about what to do. "Your page has strong depth but weak coverage" tells you exactly where to start. That's why IntentFit decomposes search-intent satisfaction into these three measures rather than reporting one opaque grade.
Coverage: how many intents you address at all
Coverage asks: of the distinct intents in your real demand, how many does the page address at all?
Once a page ranks, it receives many different queries — grouped into distinct intents through query clustering. Low coverage means searchers arrive with questions the page never touches. A page about "project management software" that gets steady impressions for "pricing," "for agencies," and "vs competitors" but only discusses features has a coverage problem: most of its demand hits content that doesn't address it.
The fix for low coverage is additive — create sections for the missing intents.
Depth: how completely you answer them
Depth asks: for the intents the page does cover, how completely does it answer them?
Coverage is about presence; depth is about sufficiency. A page can mention pricing in a single sentence while the demand clearly wants a full breakdown — tiers, what's included, how it compares. That's an addressed intent answered thinly. Depth catches the difference between "we touch this" and "we resolve this."
The fix for low depth is to expand the thin sections until they fully satisfy the job behind the query.
Focus: how little off-intent noise you carry
Focus is the opposite of over-serving. It asks: how much of the page is off-intent noise that dilutes the answer?
More content is not automatically better. A page padded with tangents, unrelated topics, or material that belongs on a different URL confuses both readers and crawlers about what the page is actually for. High focus means the page stays on the intents its demand cares about; low focus means it sprawls.
The fix for low focus is subtractive — cut the noise, or split it onto a more appropriate page.
Coverage, depth, and focus each point to a different action. Low coverage → add sections. Low depth → expand thin ones. Low focus → cut or split the noise. A single blended score hides all three; splitting it out turns the audit into a worklist.
How the three combine
The overall intent-satisfaction score blends the three, but the components stay visible so you always know which lever to pull. A page can win on one and lose on another — deep but narrow (good depth, poor coverage), or broad but shallow (good coverage, poor depth), or thorough but cluttered (good coverage and depth, poor focus).
Each weak component is an intent gap of a particular kind, and because the demand comes from your own Google Search Console, every gap can be sized by traffic at stake — so you address the weakness with the most demand behind it first. For a deeper treatment, read how coverage, depth, and focus define content quality.
Try it on your own site
Connect Google Search Console and get coverage, depth, and focus scores for every page that already gets demand.
In practice
IntentFit turns this concept into a number you can act on — measured against your own Search Console demand.
Related terms
- Traffic at stake— Traffic at stake sizes each intent gap by the impressions behind the under-served intent — turning a content audit into a worklist ranked by real demand.
- SERP intent— SERP intent is the intent Google reveals through the shape of the results page — a useful read, but a different signal from the demand your own page actually receives.
- Query clustering— Query clustering groups the raw queries a page receives into distinct intents — the step that turns a noisy Search Console export into an intent audit.
- Content gap— A content gap is demand your site doesn't answer — and finding it from your own Search Console beats chasing a competitor's keyword list.