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🛠 Platform  ·  Ecommerce

Fashion Retailer Captures 200+ Keywords Across Google and AI Shopping Answers

Mid-market Fashion Brand · £8M annual revenue · 120 SKUs  ·  6 months

200+
new keywords ranking top 10 across Google and AI search
38%
Revenue from AI-Influenced Sessions
3.1×
Platform ROI
4 months
To First AI Citation
⚠️ The Challenge

AI shopping answers were routing buyers directly to competitors. When customers asked "best sustainable trainers under £100", the brand never appeared — despite having the right products, prices, and reviews. Strong Google rankings but zero AI search presence. No understanding of why.

💡 The Solution

AI SERP Simulator showed how AI engines answered shopping queries in their category and which signals triggered competitor citations. Brand Authority Engine revealed no structured entity data, no product comparison content, and weak E-E-A-T signals despite strong customer reviews. A 3-track programme addressed all three simultaneously.

📈 The Result

6 months: 200+ new keywords in top 10 positions. Product comparison pages became top AI-cited content in category. 38% of revenue sessions showed AI search influence. ROI on the platform: 3.1× in year one.

How They Did It

Step-by-step breakdown of the exact approach taken.

🤖
AI SERP Simulation — How Competitors Were Cited

Ran 40 target shopping queries through AI SERP Simulator. Pattern: every cited competitor had sustainability certification pages, material comparison guides, and care instruction content. The gap was content type, not product quality. A content sprint targeted every identified gap.

🏷️
Product Entity Schema Added to All 120 SKUs

Schema Markup Builder generated Product + Review + Offer JSON-LD for all product pages. AI engines need structured signals to surface products in shopping answers — unstructured product pages are invisible regardless of ranking position or product quality.

📊
15 Comparison Guide Pages Created

Information Gain Scorer identified 15 comparison queries with high AI citation frequency: "sustainable vs synthetic trainers", "canvas vs leather sneakers for summer". Structured comparison tables and schema added to each. Comparison guides became the highest-cited content on the site.

🏆
Brand Authority Engine — Credibility Signals

Brand Authority Engine: zero Wikipedia mention, no Wikidata entity, no mentions in fashion authority publications. A PR push secured coverage in 4 industry publications within 3 months. Entity score went from 32 to 71. Brand began appearing in "best sustainable brands" AI answers.

⭐
E-E-A-T Signals — Authentic Customer Experience

E-E-A-T Scorer flagged unstructured review content. Added Review schema, created a Real Customer Stories section with authentic use-case narratives. AI engines weight first-person experience signals heavily for product recommendations. This lifted E-E-A-T score by 22 points.

The Full Results

Month 1–2: Schema deployment. Citation rate 0%→14% for direct product queries. Month 3–4: Comparison guides indexed. Category citation rate: 41%. Month 5–6: Entity signals strengthened. Now 200+ queries in top 10. Revenue attribution showed 38% of converting sessions had AI search touchpoint. ROI: 3.1× year one.

“We did not know AI search was routing our customers to competitors. SEOGEO360 made it visible — and gave us a plan to fix it. The comparison guides alone changed the business.”

— Digital Marketing Manager, Fashion Retailer

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