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Keyword List Cleaner

Paste a messy keyword list from GSC, Ahrefs, SEMrush or a competitor scrape — get a clean, deduplicated, prioritised list. Strip case, punctuation, stopwords, branded and navigational queries in one pass.

Exact + fuzzy dedupeLowercase + trimSymbol stripStopword filterBranded / navigationalWord-count limitsIn-browser only

Raw list & filters

1

Paste keywords (one per line)

Copy-paste from any export. Leading quotes, trailing spaces, and extra punctuation are all handled automatically.

2

Normalisation

Case, whitespace, punctuation. Recommended for any keyword list.

3

Deduplication & filtering

Which types of entries to drop.

Cleaned list

Status13 kept / 7 removed
Input
20
Kept
13
Removed
7
Reduction
35%

Cleaned output (13 keywords)

seo services australia
best seo services australia
seo services melbourne
seo services sydney
workspacein
workspacein login
workspacein dashboard
www.workspacein.com
how to rank in google
how to rank on google
how to rank on google 2026
seo seo seo
seo

Removal breakdown

Exact duplicates4
Stopwords only2
Empty1
Notes
  • infoCleaned: 13 kept / 7 removed (35% reduction).

How to Clean a Keyword List for SEO Work

Four rules that turn a messy export into a list you can prioritise.

1

Normalise before dedupe

Lowercase + trim + symbol strip must come first. Otherwise "SEO Services" and "seo services " are treated as different keywords. The vast majority of duplicates are casing and whitespace, not real variation.

2

Drop navigational and branded first

They skew volume totals and clutter the list. For content planning, you care about non-branded, non-navigational intent. Strip those early and your signal-to-noise jumps.

3

Use fuzzy dedupe cautiously

"Buy red shoes" and "red shoes" have different intent. Fuzzy dedupe would merge them. Turn it on only when you want aggressive consolidation — and always review what it merged.

4

Word-count filters catch extremes

Single-word queries are usually too broad to target. Queries over 10 words are usually voice-search noise. A 3–8 word sweet spot pulls the signal you actually want.

What Gets Removed — And Why

Every filter this tool applies, and when it matters.

Case duplicates

"SEO", "seo", "Seo" all become one. The #1 source of list bloat in any real export.

Whitespace duplicates

Trailing spaces, double spaces, leading tabs. Invisible but fatal for any grouping operation.

Quoted phrases

"seo services" and seo services treated identically. Export artefacts from Ahrefs, SEMrush etc.

Punctuation noise

"seo?", "seo!", "seo," — all collapse to seo. Unless punctuation matters (rare), it's junk.

Stopword-only

"the", "and", "of" as standalone entries. Scraper artefacts. Zero search intent.

Navigational

"login", "contact us", "about" — users already know your brand, not keywords you target for new traffic.

Branded

"workspacein pricing", "workspacein review" — traffic you already have. Remove for new-content planning.

Fuzzy duplicates

Same words in different order, or with/without stopwords. "rank in google" and "rank on google". Merge with care.

Why Raw Keyword Lists Are So Messy

The usual sources and their characteristic junk patterns.

Google Search Console

Mixed case variantsMobile autocomplete artefacts(not provided) rowsBrand pollutionNavigational queriesVoice-search long tails

Ahrefs / SEMrush

Wrapped in quotesTrailing commas / CSV artefactsHeader rows slipping inMulti-lingual mixCompetitor brand namesKeywords with numbers inflating dedup

Competitor scrapes

Their brand everywhereTheir product namesIrrelevant audience queriesGeo you don't targetLow-intent awareness queriesNoise from non-English

Auto-complete tools

Alphabetical near-duplicates"seo a", "seo b", "seo c"...Question-word variants"vs X", "vs Y" competitor chainsTypo-driven duplicatesGeographic long tails

Keyword List Cleaner FAQ

Why clean a keyword list?

Keyword lists from GSC exports, Ahrefs, SEMrush and competitor scrapes are full of junk — duplicates with different casing, branded queries, navigational terms, trailing spaces. Cleaning them saves hours of manual QA and gives you a list you can actually prioritise.

What's fuzzy dedupe?

Exact dedupe only removes identical strings after normalisation. Fuzzy dedupe also merges near-duplicates — "seo services australia" and "seo services australia 2026" collapse to one. Use carefully: it's aggressive.

Should I remove branded queries?

For SEO content planning, yes — they're already yours. For a full keyword research report, no — you want the full picture including branded traffic volume. Depends on what you're doing with the list.

Is my list sent anywhere?

No. Everything runs locally in your browser. Nothing is uploaded or stored.

Want Your Keyword List Prioritised, Not Just Cleaned?

Our Australian SEO team cleans, clusters and ranks your keyword list by traffic potential, difficulty and commercial intent — then maps them to your content plan.

  • Keyword clustering + intent mapping
  • Content gap analysis
  • No lock-in commitment
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