SEO For Kaya Workwear - LogiCorns
Kaya Workwear SEO
CASE STUDY

Kaya Workwear

Kaya Workwear SEO Case Study

We helped Kaya Workwear build a stronger organic acquisition system around workwear search demand, product discovery, buyer education, and AI-powered search visibility.

The objective was to grow beyond branded traffic and paid acquisition by creating a search ecosystem that could attract both individual buyers and business customers earlier in the buying journey.

Kaya Workwear SEO Case Study

68%

Growth in Organic Clicks

37+

Keywords in the Top 20

34%

Higher Non-Branded Clicks

2 Search Layers

SEO + GEO

Kaya Workwear SEO
Kaya Workwear

Winning More Searches, One Category at a Time

 Kaya Workwear is an Australian eCommerce brand supplying workwear, footwear, PPE, uniforms, and safety products for trades, businesses, and everyday professional use.

Its catalogue spans multiple brands, product types, industries, and buyer needs, creating a large search opportunity across commercial product terms, category searches, workplace requirements, and informational research.

That made organic growth valuable not only for direct product discovery, but also for building authority around the questions customers ask before choosing workwear.

THE CHALLENGE

The Challenge of Winning Competitive Search

Workwear search is highly competitive, with major retailers, manufacturers, marketplaces, and category specialists competing for the same commercial keywords.

Kaya Workwear needed stronger visibility beyond branded searches, deeper category coverage, and a clearer content structure that could connect informational demand with products and revenue.

Key challenges included:
01

Competitive Categories

Core workwear and PPE terms faced strong organic competition.

02

Limited Non-Branded Reach

Too much visibility depended on users already knowing the brand.

03

Thin Category Depth

Product categories needed stronger search relevance and context.

04

Fragmented Content

Educational content was not link to commercial product pages.

05

Multiple Buyer Intents

Tradies, employers, and industry buyers searched in different ways.

Opportunity: Build a search architecture that captures buyers across product, category, industry, location, and problem-solving searches.

WHAT WE DID

Optimising Every Layer of Organic Search

We rebuilt search visibility around the way customers actually research and buy workwear, then connected category pages, supporting content, internal links, and AI-friendly information into one system.

01

Technical SEO Cleanup

We removed technical barriers that could limit crawling, indexing, and organic performance across the eCommerce site.

  • Indexation review
  • Core page checks
  • Duplicate content fixes
  • Crawl-path cleanup

02

Commercial Keyword Mapping

Search demand was mapped to the right product, category, and supporting pages so keywords matched real buyer intent.

  • Product keywords
  • Category keywords
  • Brand searches
  • Industry queries

03

Category Page Expansion

We strengthened high-value category pages with clearer commercial context, relevance, and deeper buyer insights.

  • Workwear categories
  • Safety footwear
  • PPE ranges
  • Uniform collections

04

Buyer Education Content

We created supporting content around the practical questions customers research before choosing workwear and safety products.

  • Product selection guides
  • Safety requirements
  • Industry use cases
  • Workwear comparisons

05

Search Intent Grouping

Related searches were grouped into clear content themes so Kaya could build deeper topical authority instead of isolated keyword rankings.

  • Workwear clusters
  • PPE clusters
  • Footwear clusters
  • Industry clusters

06

Internal Linking System

We connected informational and commercial pages more deliberately so authority and users flowed toward revenue-driving categories.

  • Blog-to-category links
  • Category-to-product links
  • Related guides
  • Commercial pathways
Performance Timeline

Fixing the Foundations, Unlocking Visibility

Months 1 to 2

Build the Search Foundation

Focus: Fix architecture and search targeting before increasing content volume.

  • Technical audit
  • Keyword research
  • Competitor analysis
  • Category mapping

Months 3 to 4

Expand Commercial Visibility

Focus: Strengthen the pages closest to product discovery and purchase intent.

  • Category optimization
  • Brand page improvements
  • Internal linking
  • Commercial content

Months 5 to 6

Build Search Authority

Focus: Expand educational coverage around buyer problems and category research.

  • Buying guides
  • Industry content
  • Product comparisons
  • Answer-focused FAQs

Months 7+

Compound Organic Growth

Focus: Refresh winners, close search gaps, and strengthen GEO signals over time.

  • Content refreshes
  • Topic expansion
  • GEO optimization
  • Opportunity tracking

BEFORE VS AFTER

From Branded Visibility to Search-Led Growth

Kaya moved from a more brand-dependent organic presence to a broader search ecosystem built around categories, buyer education, non-branded discovery, and modern search visibility.

BEFORE

AFTER

KEY METRICS WE TRACK

The Metrics Behind the Momentum

These are the operating metrics used to judge whether organic visibility is reaching commercially useful searches and supporting product discovery.

BUSINESS IMPACT

How Organic Growth Changed the Business

Less Paid Dependence

Organic discovery added another acquisition source alongside Meta and Google Ads.

Broader Product Discovery

More categories and products became visible before customers reached paid channels.

Stronger Buyer Education

Helpful content reduced uncertainty and supported better-informed purchase decisions.

Higher Commercial Reach

Non-branded search connected Kaya with buyers who had never encountered the brand.

Stronger Search Authority

Connected category and content coverage strengthened long-term visibility across workwear.

Search + AI

Why SEO + GEO Worked Together

Workwear discovery is no longer limited to typing a short product keyword into Google.

A buyer may search for ‘best work boots for construction’ in Google, while another may ask an AI platform which safety footwear or workwear brands are suitable for a specific job or industry.

SEO helped Kaya compete for traditional search demand. AEO and GEO strengthened the information and entity signals that search and AI systems need to understand products, categories, expertise, and relevance.

Capture search demand → Answer buyer questions → Strengthen category authority → Improve AI understanding → Compound organic growth

READY TO GROW

Kaya Workwear SEO

LET’S GROW TOGETHER

Ready to Grow Beyond Paid Traffic?

We help eCommerce brands connect technical SEO, category optimization, content strategy, AEO, GEO, and conversion-focused search architecture into one measurable organic growth system.
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