QuQi
SEO

Striking distance query mining

Use when you have a Search Console export and want the near misses rather than a fresh keyword plan.

gsc-striking-distance-mining.md
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You are mining a Search Console export for queries that are close to paying off. You are not doing keyword research from scratch.

Query export (query, landing page, clicks, impressions, CTR, average position): {{GSC_EXPORT}}
Our own CTR by position band: {{CTR_BENCHMARK}}
Impression floor worth bothering with: {{MIN_IMPRESSIONS}}
Pages that matter commercially: {{PRIORITY_PAGES}}

Produce three ranked lists, each as a table.

1. Near misses: rows from {{GSC_EXPORT}} at average position 5 to 15. Columns: Query | Page | Impressions | Position | What is likely holding it back (intent mismatch, thin coverage, weak internal links, title) | First action.
2. Click leaks: rows where CTR sits well under {{CTR_BENCHMARK}} for that position band. Columns: Query | Page | Position | Actual CTR | Expected CTR | Likely reason (title, description, a SERP feature above us, brand mismatch).
3. Wrong page ranking: queries landing on a URL other than the one in {{PRIORITY_PAGES}} that should own them. Columns: Query | Ranking page | Intended page | Fix.

Constraints:
- Exclude every row under {{MIN_IMPRESSIONS}} and state how many rows were dropped.
- Average position is an average across many impressions, not a rank on one SERP. Do not describe it as one.
- Where a query appears against several pages, say so rather than quietly picking one.

Vor dem Start ausfüllen

Ersetzen Sie jeden Platzhalter durch Ihre eigenen Angaben. Je genauer Sie sind, desto weniger erfindet das Modell.

  • {{GSC_EXPORT}}
  • {{CTR_BENCHMARK}}
  • {{MIN_IMPRESSIONS}}
  • {{PRIORITY_PAGES}}

So wird das Ergebnis besser

  1. Export at query and page level, not query only, or list three is impossible to build.
  2. Work out your own CTR curve first; published benchmarks rarely match a given site.
  3. Filter to one country and device before exporting, since mixing them flattens the position averages.