KWFinder jeep tracking low‑competition keywords in a digital jungle

Mangools KWFinder: AI-Powered Low-Competition Keyword Hunting

Hunting for fresh topics rarely fails because of a lack of ideas; it fails when those ideas are trapped behind high-authority competitors. KWFinder, part of the Mangools suite, specialises in surfacing phrases that attract steady traffic yet fly under the radar of the giants. The workflow below shows how to move from a broad seed term to a shortlist of realistic targets ready for drafting.

Calibrate search settings before hitting “Analyze”

Open KWFinder and set the location and language that match the audience. Leave the search type on Related Keywords so the tool explores the semantic field rather than exact matches alone. Toggle the date range in Search Trends to two years. Sudden spikes can mislead; a longer timeline exposes seasonality and prevents chasing mirages.

Start with a seed phrase, then branch quickly

Type a core subject—for example time tracking software—and click Search. KWFinder returns a table with volume, keyword difficulty, CPC and historical interest. Scan the first fifty rows to spot modifiers that signal intent:

  • tool, software, platform → commercial

  • tips, example, benefits → informational

  • free, cheap, open source → budget-driven

Mark phrases with KD under 30 if domain authority sits in the mid-range. Terms under 20 are prime real estate even for new sites.

Use the questions tab to uncover content gateways

Switch to Questions and watch the phrasing shift from fragments to full queries. These questions often land featured snippets because they match spoken search. Sort by Search Volume, then skim for gaps competitors ignore. If the query how does project time tracking work shows zero strong results, write it down; snippet potential is high.

Questions also guide paragraph sub-heads. A guide built on AI time tracking can weave in answers to is AI time tracking accurate or does AI track offline work, improving scan-ability without inflating word count.

Filter aggressively, score objectively

Click Filter and set:

  • Min Volume: 50

  • Max KD: 35

  • Include: add must-have modifiers like AI if the brand’s positioning hinges on that angle

  • Exclude: remove branded queries that belong to other companies

Apply and export the refined sheet. Create a scoring column in a spreadsheet: (Monthly Volume × 0.6) + (CPC × 0.3) − (KD × 1). Higher numbers drift to the top, balancing traffic, commercial value and difficulty in one glance.

Expand with SERP analysis to judge real-world feasibility

KWFinder’s SERP view reveals metrics for each page ranking on the first screen:

  • DA/PA from Moz

  • Backlink count

  • Estimated social shares

Look for combinations where top results carry low DA, few backlinks and thin content. Even a modest article can break in if incumbents rely on forums or dated listicles. When uncertainty lingers, plug the same phrase into the SEMrush Keyword Gap workflow to see where rivals hold positions. A blank column reinforces the green light.

Build topic clusters around close variations

Low-competition phrases rarely live alone. Pivot back to the export sheet and group rows by the first two words. A cluster such as ai time gathers ai time tracking, ai time tracker, ai time logging. Combine them into one comprehensive post instead of three thin pages. Not only does this reduce cannibalisation, it strengthens topical depth—an approach covered in the supporting piece on Keyword Research Techniques for High-Impact Rankings.

Draft outline with search intent front and centre

Each section of the outline should mirror dominant SERP intent:

Intent Section Type Example Heading
Informational Definition what low competition keywords mean for small teams
Investigational Comparison ai time tracker vs manual logs
Transactional CTA block start a 14-day trial of xyz tool

Order sections so informational elements lead and transactional cues close. Readers who arrive curious leave confident.

Add internal links to reinforce authority

While drafting, identify anchor phrases that fit naturally:

These links pass context as well as equity, keeping users inside the ecosystem.

Refresh old articles instead of starting from scratch

Filter KD below 25 and compare the list with existing content. If an old blog post ranks on page two for a newly surfaced phrase, update it rather than writing a new article. Inject the keyword into the H1 or H2, enrich the copy with fresh data and images, and tighten metadata. The result climbs faster than a brand-new URL.

Track performance with simple metrics

After publication, log each target phrase in Google Search Console and set a two-week annotation. Monitor:

  • Average Position rise within the first month

  • Click-Through Rate improvements once the snippet refreshes

  • Impressions as an early predictor of momentum

If a post stalls below position fifteen for six weeks, revisit on-page factors or consider a supporting article to supply internal link juice.

Avoid the typical pitfalls

Mistake Consequence Remedy
Trusting KD alone Ignores intent and SERP quality Always inspect live results
Chasing zero-volume queries Drains resources Set a sensible volume floor
Duplicating near-identical slugs Cannibalises authority Consolidate into one page
Overloading with affiliate banners Dilutes trust Limit to one contextual CTA

Next steps

With KWFinder you uncover opportunities that balance attainability and impact. Pair these finds with structured clustering from Serpstat and the roadmap principles laid out in the pillar blueprint. The compound effect is clear: fewer wasted drafts, quicker rankings and a content archive that grows more resilient each quarter.

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