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    April 28, 202610 min readUpdated: 2026-04-28

    GEO Case Study: How an E-Commerce Brand 4x'd Its ChatGPT Visibility in 6 Months

    GEO Case Study: How an E-Commerce Brand 4x'd Its ChatGPT Visibility in 6 Months
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    We documented an e-commerce brand's GEO journey in Turkey: which tactics worked, which didn't, and how ChatGPT visibility quadrupled in 6 months.

    Last Updated: April 28, 2026

    TL;DR: This case study documents the real 6-month GEO process of an e-commerce brand operating in Turkey. After 6 months, ChatGPT visibility quadrupled and Perplexity referral traffic went from 0 to 340 monthly visits.

    *Note: Brand name is anonymized per client confidentiality request. Data is verified real measurements.*

    Client Profile

    • Sector: E-commerce (home textiles, Turkish market)
    • Site: 850 SKU, mid-size Shopify store
    • Starting situation: Average page 2 on Google; AI engine visibility = 0
    • Goal: Stand out in product research queries on ChatGPT and Perplexity
    • GEO start date: July 2025
    • Evaluation date: January 2026 (month 6)

    Initial Audit Findings

    The pre-GEO audit revealed the following gaps:

    • Schema markup: Only Product schema present; no FAQPage, Organization, or Article
    • llms.txt: None
    • Entity profile: Not on Wikipedia; Crunchbase empty; no Wikidata entry
    • AI visibility score (Rankie.ai): 12/100
    • ChatGPT visibility across 20 target queries: 0/20
    • Perplexity visibility across 20 target queries: 1/20

    Applied GEO Strategy

    Months 1-2: Technical Foundation

    Schema layer added: FAQPage schema on 50 category pages (average 6 questions/page); Organization schema on Homepage + About; HowTo schema on 8 blog posts (fabric care guides); Article schema on all blog posts.

    llms.txt published: Brand identity, product categories, and target audience explained. AI bots guided on which content to prioritize reading.

    Entity building: Brand reference added to "home textiles" category on Wikipedia; Crunchbase profile created; Wikidata entity record opened.

    Months 2-4: Content Layer

    12 pieces of content targeting Perplexity's research-oriented users were produced:

    • "Cotton vs Polyester duvet: 2025 comparison"
    • "How to choose organic cotton bedding? Expert guide"
    • "Children's room textile buying guide: 8 criteria to consider"

    Each piece: 1000+ words, 3-4 statistics, FAQPage schema, "Last Updated" label.

    Months 4-6: Authority Layer

    Guest article agreements with 3 home decor blogs; interview in textile sector digital magazine; Izmir Chamber of Commerce membership listing + website reference.

    6-Month Performance Table

    | Metric | Start | Month 2 | Month 4 | Month 6 | Change | |--------|-------|---------|---------|---------|--------| | Rankie.ai AI Score | 12/100 | 28/100 | 51/100 | 67/100 | +55 points | | ChatGPT visibility (20 queries) | 0/20 | 2/20 | 6/20 | 8/20 | 4x increase | | Perplexity visibility (20 queries) | 1/20 | 5/20 | 11/20 | 15/20 | 15x increase | | Perplexity referral traffic (monthly) | 0 | 45 | 187 | 340 | +340 visits | | AI-sourced leads (monthly) | 0 | 3 | 11 | 19 | +19 leads | | Google AI Overview (20 queries) | 0/20 | 1/20 | 4/20 | 7/20 | 7x increase |

    Which Tactics Worked Best?

    1. FAQPage Schema — Highest Impact

    Adding FAQPage schema to category pages drove 60% of the Perplexity visibility increase alone. Pages with schema received 3x more AI citations compared to those without.

    2. Perplexity-Focused Research Content — Fast Impact

    "X vs Y comparison" and "how to choose" format content peaked on Perplexity in month 3. This format perfectly matches research-intent users' Perplexity queries.

    3. llms.txt — Faster Than Expected Impact

    Within 3 weeks of publishing llms.txt, improvements in ChatGPT brand recognition were observed. Particularly, matching the brand name with product category provided visibility in category queries.

    Which Tactics Did Not Work?

    1. Using Google Ranking as the Starting Point

    In the first 2 months, the approach "let us rank on Google, AI will pick it up" was tried. AI visibility is not directly linked to Google ranking — it requires different optimization.

    2. Short Content (Under 500 Words)

    AI engines skip short content. All posts under 500 words were rewritten.

    3. Generic Keyword-Focused Content

    Content produced for broad queries like "duvet" was ineffective in AI. Niche + question-format content performed far better.

    Repeatable Tactics (Apply to Your Business)

    1

    FAQPage schema → Add minimum 4 Q&A pairs to all category and product pages

    2. Wikipedia contribution → Pass brand name as a reference in sector pages 3. Perplexity-focused content → "X vs Y", "how to choose X", "X guide 2025" formats 4. llms.txt → Introduce product categories and target customer profile to AI bots 5. Monthly query testing → Monthly ChatGPT + Perplexity test for 20 target queries

    Conclusion

    In 6 months: ChatGPT visibility 4x, Perplexity traffic from 0 to 340 monthly visits. The GEO process is an ongoing journey — month 6 is not the end, it is the momentum-gaining point.

    This brand's month 12 target: 14/20 visibility for 20 ChatGPT target queries, Perplexity monthly 1,000+ visits.

    To start your own brand's GEO journey: Request a free GEO discovery call.

    Related: [What Is GEO?](/en/blog/what-is-geo-ai-search-visibility-guide-2026), [Perplexity SEO Guide](/en/blog/perplexity-seo-guide-2025-top-results), [What Is GEO Consulting?](/en/blog/what-is-geo-consulting-business-benefits-2025)

    Written by

    Umut Şahinkaya

    Founder of StrategAI. AI automation strategist for Turkey's real estate sector. Specializes in GEO, lead generation AI, and WhatsApp chatbot integrations.

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