Coverage Map

Coverage Map scores each question around your keyword against the ranking articles — answered, thinly touched, or silent. Silent is new-vector territory: no ranking article covers it yet.

Already have search volumes (Ahrefs, Semrush, our Keyword Research)? Put the number after the keyword, separated by a Tab, semicolon or comma — keyword  1600. A pasted Excel/Sheets column works as is. Your numbers always win — for keywords without one we fetch the volume automatically. Keywords you add are never filtered out by intent — only flagged.
Your cases, numbers, failure stories — things no competitor can copy. One passage per line, up to 10. The follow-up Information Gain audit will check whether they landed in your draft as new content.
Costs 12 credits. The map collects candidate queries around your seed — Google autocomplete, People Also Ask, the H2/H3 maps of the ranking pages and AI fan-out — plus your own keywords, and labels each one against the corpus: does the top answer it, or is it uncovered? The corpus is saved — a follow-up Information Gain audit from this map costs 10 credits instead of 35.

Coverage against the top, not a keyword list

Sub-queries from autocomplete, People Also Ask, the H2/H3 maps of the ranking articles and AI fan-out are each scored against that same corpus of articles. The output is a label per query — the top answers it, touches it thinly, or is silent — not another list to sort.

Where the top is silent

Silent queries are new-vector territory: no ranking page covers them, so a passage there adds information rather than echoing the SERP. Whether a given silent theme is worth the effort stays your call — the label reports what the top does, not what to write.

The map feeds the audit

The competitor corpus is saved with the map. Write the draft, send it to the Information Gain audit, and it checks the same silent and partial gaps against your text — closed or still open — and reuses the corpus for 10 credits instead of 35. The map plans; the audit measures.