Answers that mention Moz

If you want to find long-tail keyword opportunities and filter them by search intent + ranking difficulty, these are the strongest options:

Best overall: Semrush

semrush.com is probably the closest match to your exact workflow:

1. Enter a seed topic.
2. Generate thousands of related keywords.
3. Filter by:

• Keyword difficulty
• Search volume
• Search intent (informational, commercial, transactional, navigational)
• CPC
• Word count / keyword length
• Export your best opportunities. Semrush Semrush

Example filters:

• Keyword difficulty: < 30
• Volume: 50–1,000/month
• Intent: Commercial + Transactional
• Include words like:

• “best”
• “vs”
• “review”
• “pricing”
• “alternative”
• “for [specific audience]”

That usually surfaces keywords with buying intent but less competition.

Best for competitor-driven opportunities: Ahrefs

ahrefs.com is excellent if you want to discover terms competitors already rank for. Its Keywords Explorer lets you find keyword ideas, analyze ranking difficulty, and filter opportunities by metrics such as Keyword Difficulty and search volume. Ahrefs

A common workflow:

1. Put a competitor domain into Site Explorer.
2. Export keywords they rank for.
3. Filter:

• Position: 5–30 (near wins)
• KD: low
• Volume: meaningful
• Create better content targeting those terms.

Best budget option: KWFinder

mangools.com is easier to learn and cheaper than enterprise platforms. It is good for:

• Finding question keywords
• Finding low-competition phrases
• Quickly checking difficulty scores

Best for very low-competition niches: LowFruits

lowfruits.io focuses heavily on finding “weak spots” in Google results:

• Forums ranking
• Low-authority sites ranking
• SERPs where newer sites can compete

It is useful if your site has little authority.

My recommended stack by situation

New website / low authority

• LowFruits → find easy wins
• KWFinder → expand ideas
• Semrush → validate intent

Established site

• Ahrefs → competitor gaps
• Semrush → keyword clustering and intent filtering

Content marketing team

• Semrush + Keyword Insights → build topic clusters and content calendars

A simple scoring formula I’d use:

Opportunity Score = (Intent × Search Volume × Business Value) ÷ Difficulty

For example:

• “how to clean leather shoes” → high traffic potential, low buying intent
• “best waterproof leather shoe protector for hiking” → lower volume, but much stronger commercial intent

For most businesses, the second type is where long-tail keywords become valuable. Semrush

If you have a raw keyword list and want to filter and prioritize by search intent, search volume, and competitor difficulty, these platforms are commonly used:

A practical workflow

1. Upload/import your keyword list

• Start with your exported keywords, competitor keywords, or brainstormed terms.
• Filter by intent

• Prioritize:

• Transactional: “buy,” “pricing,” “software,” “service,” “near me”
• Commercial investigation: “best,” “reviews,” “vs,” “alternative”
• Informational: “how,” “guide,” “what is”
• Semrush, for example, provides intent labels and lets you filter keyword lists by intent. Semrush
• Balance volume vs difficulty

• Avoid simply chasing the highest-volume terms.
• A common prioritization model:

• High relevance + medium/high volume + manageable difficulty = strong targets
• High volume + very high difficulty = longer-term targets
• Low volume + high buying intent = often valuable conversion keywords
• Check SERPs manually

• Look at who ranks:

• Are results dominated by major brands?
• Are there weak pages ranking?
• Does Google favor blogs, product pages, videos, or local results?

My typical recommendations by use case

• SEO agency or serious content team: Semrush or Ahrefs
• Startup/small business with limited budget: Semrush’s free keyword tools + Google Search Console, then upgrade if needed Semrush
• Large content operation: Ahrefs + Keyword Insights
• E-commerce: Semrush/Ahrefs plus Google Ads data

If you already have a keyword list (CSV/Excel), the fastest route is usually Semrush Keyword Overview/Bulk Analysis or Ahrefs Keywords Explorer because both let you score a list rather than researching keywords one by one. Ahrefs Semrush

If you need to filter and prioritize a keyword list by search intent, search volume, and competitor difficulty, the best platforms are usually SEO suites rather than simple keyword generators. These are the strongest options:

My typical recommendation by use case

For building a content roadmap

Use Semrush:

1. Import your keyword list.
2. Filter by: - Intent = Commercial/Transactional (money pages)
3. Intent = Informational (blog/education)
4. Volume threshold (e.g., >100 searches/month)
5. Keyword Difficulty (e.g., <40 for newer sites)
6. Group related terms into topic clusters.

Semrush specifically supports bulk keyword analysis with intent, volume, difficulty, CPC, and SERP-related metrics. Semrush

For beating competitors

Use Ahrefs:

• Put competitors into Site Explorer.
• Export keywords they rank for.
• Sort by: - High traffic potential
• Low-to-medium keyword difficulty
• Keywords where competitors rank but you do not
• Validate against the SERP. Ahrefs emphasizes using difficulty together with volume and SERP analysis rather than relying on difficulty alone. Ahrefs

For a large messy keyword spreadsheet

A practical workflow:

1. Upload keywords into Semrush or Ahrefs.
2. Add columns: - Keyword
3. Intent
4. Monthly volume
5. Keyword difficulty
6. CPC
7. Current ranking position
8. Business value
9. Score each keyword:

Priority Score = (Business Value × Intent × Volume) ÷ Difficulty

Example:

• “best CRM for startups”

• Intent: Commercial ✅
• Volume: Medium ✅
• Difficulty: Medium ⚠️
• Priority: High
• “what is CRM”

• Intent: Informational
• Volume: High
• Difficulty: High
• Priority: Medium

If you want one choice:

• Agency / serious SEO work: Semrush or Ahrefs
• Content marketing teams: Semrush
• Competitor-driven SEO: Ahrefs
• Budget-conscious projects: KWFinder + Google Keyword Planner

If you already have a keyword CSV, I can also suggest a scoring framework or spreadsheet structure to rank the list automatically.