Keyword Coverage Checker
Check which target keywords appear in title/bullets/description — incl. coverage %, missing list, density warning (> 3%) and CSV export.
Note: results are not made indexable via URL parameters. Canonical: https://tools.snapsoft.de/en/tools/keyword-coverage
Who is this for?
- Marketplace sellers who want to quickly spot coverage gaps in title/bullets
- Content teams/agencies that want to check keyword lists against finished listings
- Teams that want to avoid keyword stuffing while still covering core terms
Keyword coverage: find missing terms — without keyword stuffing
If core terms are missing from your listing, you lose relevance and conversion opportunities. On the flip side, excessive repetition quickly turns into spam and hurts readability.
This checker shows which target keywords appear in title/bullets/description, which ones are missing, and whether any term becomes too dominant (density warning > 3%). Everything runs locally in your browser.
Calculator
Max 6 inputs, clear outputs. Everything runs locally in your browser.
Inputs
Tip: one keyword per line. Comma lists work too.
Text only — no upload, no storage.
Advanced options
These terms are filtered out of the keyword list (e.g. brand), so coverage/density doesn’t get skewed.
“contains” is more tolerant, but can create false positives (substring matches).
Result
How it works
We normalize text (lowercase, separators/special chars as spaces, simplified diacritics) so variants like “USB‑C” and “USB C” match.
Coverage = found keywords / total keywords. A keyword is counted as found if it appears in title, bullets or description.
Density warning: per keyword we approximate density as a share of the combined listing text word count. If a keyword exceeds 3%, we flag it yellow.
Quick conclusion
- Close coverage gaps in title/bullets first — those are usually most visible.
- Avoid keyword stuffing: if density turns yellow, rewrite (synonyms, benefit focus).
- Export as CSV to share content checks as a working list / review artifact.
Sources & notes
Disclaimer: assumptions, fees and policies can vary and change. Always verify critical values in official sources (marketplace, supplier, payment provider).
FAQ
What’s the difference between exact and contains?
“exact” matches keywords as a word/phrase (no partial words). “contains” also matches substrings (e.g. “mat” in “automatic”) — more tolerant, but can create false positives.
Why brand/stopwords?
So you can filter brand terms or irrelevant words out of the analysis — otherwise they can skew coverage and density warnings.
How should I interpret the density warning?
It’s a guardrail, not a ranking signal. Use it to reduce repetition and improve readability — without removing core terms entirely.
Why does a keyword sometimes get flagged as “too dense” after just 1×?
Density is a simple heuristic: we approximate a share of the combined listing text word count. Multi-word phrases (e.g. 2 words) count proportionally stronger. In short texts, even 1 occurrence can exceed 3%. Use it as a hint — not a dogma.
Do you store my listing text?
No. Everything runs locally in your browser.
Turn it into a repricing rule in SnapTrade
If you want to turn content standards (keyword coverage, structure, guardrails) into a repeatable process: SnapTrade can support team reviews, rules and workflows.