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ECOMMERCE CASE STUDY

Cornish Seaweed Bath Co

50%+ organic growth in months (then compounding from there)

Industry

Natural bath and body products (ecommerce)

Timeline

First major lift inside ~4 months (continued ongoing)

EcommerceShopifyAEOAI SEOLLM Visibility
Cornish Seaweed Bath traffic growth case study

Results (High Level)

+248%Organic Traffic
+375%LLM Referral Traffic
+$549KOrganic LTV Impact
4 monthsTimeline

Organic Revenue Snapshot (Representative Month)

$127,089Organic Revenue
14,348Organic Visitors
67,798Organic Pageviews
2,118Purchases (Organic)

Internal monthly comparison also showed a major organic uplift (sessions and revenue up ~50%+ month-over-month in one highlighted period).

The Situation

Cornish Seaweed Bath Co is an established ecommerce brand in a crowded category where:

  • "Benefits" queries are often zero-click (Google answers the question directly).
  • AI engines summarize product categories and recommend brands without a click.
  • Generic content does not earn citations. It gets ignored.

Goals

01

High-Intent Traffic

Grow high-intent organic traffic tied to product discovery (not vanity traffic).

02

AI Citations

Earn consistent brand mentions/citations in AI answers for category prompts.

03

Internal Architecture

Build an internal architecture where content and collections reinforce each other.

04

Always-On Momentum

Keep momentum with an always-on publishing and optimization cadence.

What We Did (AEO Engine Playbook)

1

Built revenue-focused topic clusters

We prioritized clusters where buyers convert:

  • "Best X for Y" prompts (high commercial intent)
  • Ingredient and product-format comparisons
  • Routine and usage guides that naturally bridge to products
2

Produced LLM-ready content that is cite-worthy

Each page is written to be extractable:

  • Clear definitions
  • Short answer blocks
  • Structured FAQs
  • Evidence-style explanations (without fluff)
3

Implemented schema governance for AEO

We applied schema types as appropriate per template:

  • FAQ blocks for zero-click and AI extraction
  • HowTo where usage steps mattered
  • Product/Collection support with strong internal entity signals
  • Breadcrumbs + clean hierarchy for retrieval
4

Built internal linking "silos that sell"

We created link paths that move authority:

  • Informational → commercial → collection/product
  • Seasonal/evergreen cross-links
  • FAQ-based internal anchors that match natural prompts
5

Distribution + third-party trust signals

We used strategic distribution:

  • Listicle placement and syndication where it supported demand capture
  • Reddit/Quora seeding for citation signals (category prompts, comparisons, routines)
  • Authority link building to reinforce the strongest hubs

Why It Worked (The Compounding Effect)

Cornish's wins came from alignment across multiple factors that reinforce each other:

  • Entity clarity — what the brand is, what it's known for, why it wins
  • Answer formatting — built for AI extraction
  • Authority reinforcement — links + mentions + consistent topical depth
  • Site architecture — internal linking that funnels and consolidates

What We're Doing Next

  • Expand into adjacent clusters that increase AOV and repeat purchase.
  • Keep improving LLM share-of-voice for top prompts.
  • Refresh top performers quarterly to maintain citations and rankings.

Want This For Your Store?

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  • Your best clusters for revenue
  • The prompts where AI engines choose competitors
  • The fastest 100-day plan to compound visibility and sales
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