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SEASONAL ECOMMERCE CASE STUDY

Morphsuits

Massive Halloween visibility leading into a record Q4

Industry

Costume Retailer (Seasonal Ecommerce)

Timeline

4 months

EcommerceSeasonalAEOAI SEOLLM Visibility
Morphsuits traffic growth case study

Results (High Level)

+231%Organic Sessions
+2,035%LLM Traffic
+571%Sales Increase
4 monthsTimeline

Morphsuits captured peak seasonal demand across both traditional search and AI answer engines, resulting in a record-breaking Q4.

The Situation

Morphsuits operates in an intensely seasonal market where:

  • Halloween buying decisions are compressed into a short window
  • AI engines are increasingly answering "best costume" and "what should I wear" queries directly
  • Competition for seasonal keywords is fierce and expensive
  • Missing the seasonal window means waiting a full year for another chance

Goals

01

Seasonal Dominance

Capture peak-season organic traffic before and during Halloween.

02

AI Answer Visibility

Become the recommended answer when people ask AI engines about costumes.

03

Revenue Impact

Translate visibility into measurable sales growth during the critical Q4 window.

04

Year-Round Foundation

Build authority that compounds for future seasonal peaks.

What We Did (AEO Engine Playbook)

1

Seasonal-first topic mapping

We mapped content clusters around seasonal intent:

  • "Best costumes for..." prompts across demographics and occasions
  • Group costume ideas and themed party content
  • Trending costume searches based on pop culture moments
  • Last-minute costume solutions (high urgency, high intent)
2

LLM-ready content for AI recommendations

Every piece was built to be cited:

  • Clear "best for" statements that match how people ask AI
  • Structured comparison content
  • FAQs matching real seasonal prompts
  • Quick-answer blocks for AI extraction
3

Schema optimization for product discovery

We implemented structured data that helps AI engines understand:

  • Product schema with seasonal relevance signals
  • FAQ schema for common costume questions
  • Collection/category hierarchy for browsing patterns
4

Timed distribution and authority building

We coordinated visibility efforts with the buying calendar:

  • Listicle placements in seasonal buying guides
  • Community seeding as Halloween approaches
  • Authority building to top seasonal hub pages

Why It Worked

Morphsuits succeeded by aligning AEO strategy with seasonal buying behavior:

  • Started early enough to build authority before peak season
  • Targeted prompts that match how people actually ask about costumes
  • Built content that AI engines want to cite as recommendations
  • Coordinated distribution timing with the buying calendar

Next Focus

  • Expand into adjacent seasonal opportunities (New Year, theme parties, conventions).
  • Build year-round content that feeds into seasonal peaks.
  • Refresh and expand winning content before next Halloween season.
  • Continue LLM visibility monitoring and optimization.

Have a Seasonal Business?

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  • Your highest-leverage seasonal clusters
  • How to capture AI-driven recommendations in your category
  • The timeline to build authority before your peak season
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