GEO Case Study — SellerMockups.com
How Generative Engine Optimization Grew AI Search Traffic 4,200% in 30 Days
SellerMockups went from 1 AI referral session to 43 — making ChatGPT, Perplexity, Copilot, and Claude their #3 traffic source, ahead of Google organic and paid ads.
4,200%
AI traffic growth
43
LLM sessions/month
#3
Traffic source
8.2%
AI referral share
The Proof: Before & After
Real GA4 Traffic Acquisition data — no cherry-picking, no filters. Just the raw numbers.
Zero AI traffic sources in the top 10. Engagement rate at 82.48%. Bing organic at #9 with just 7 sessions.
ChatGPT appears at #6 with 26 sessions and 88.46% engagement. Overall engagement rate jumped to 90.39%.
The Client
SellerMockups (sellermockups.com) is an AI-powered mockup generator built for print-on-demand sellers. Sellers upload their artwork, and the app places it onto photorealistic product mockups — ready for Amazon, Etsy, and other marketplaces.
It's a SaaS product in a competitive niche where discoverability is everything.
The Challenge: Zero AI Search Visibility
SellerMockups had strong product-market fit but near-zero AI search visibility. The site was effectively invisible to every generative AI search engine on the market — no ChatGPT visibility, no Perplexity citations, no structured data for AI crawlers to parse.
1 total LLM session in the prior 30-day period
Not appearing in ChatGPT or Perplexity recommendations for any relevant queries
No structured data, no AI-specific discovery files, no schema markup
64 blog posts existed but lacked authorship signals and structured metadata
AI crawlers were not explicitly permitted or guided
The GEO Strategy
A three-phase generative engine optimization strategy executed over 30 days — llms.txt, structured data, E-E-A-T signals, and AI-specific content — each phase building on the last.
AI Discovery Foundation
March 4
- Created llms.txt — a structured plain-text file describing the product, use cases, and key pages in a format optimized for LLM ingestion
- Added ai-plugin.json — metadata file following the emerging AI plugin specification
- Updated robots.txt to explicitly allow 8 AI crawlers: GPTBot, ChatGPT-User, Claude-Web, PerplexityBot, Bytespider, GoogleOther, Applebot-Extended, and cohere-ai
- Implemented schema markup across key pages (Product, SoftwareApplication, FAQPage)
- Built comparison pages targeting queries like "SellerMockups vs Placeit" and "best AI mockup generator"
GEO Audit & Authority Signals
March 25
- Added Organization, WebSite, and BlogPosting schema across the entire site
- Added real author attribution to all 64 blog posts with Person schema
- Built a comprehensive About page with Person schema, professional background, and sameAs social links
- Expanded llms-full.txt to 5,500 words covering product features, pricing, technical architecture, and use cases
Freshness & E-E-A-T Reinforcement
April 2
- Added sameAs social links across all schema markup — connecting brand identity across platforms
- Implemented dateModified and wordCount in BlogPosting schema — freshness signals with a 3.2x citation multiplier
- Added AuthorByline component to 25+ pages — visible authorship reinforcing structured data
- Generated branded OG images for social sharing — improving click-through from AI platform links
AI Search Traffic Results
Industry average is less than 1% AI referral traffic. Our generative engine optimization strategy pushed SellerMockups to 8.2% — more than 8x the benchmark.
1 → 43
LLM sessions per month
#3
Traffic source (ahead of Google organic)
90.5%
Engagement rate (up from 83.6%)
Per-Platform Breakdown
Copilot visitors averaged 5 minutes and 2 seconds per session with 12.5 events — the highest-quality traffic source on the entire site.
The Ripple Effect: GEO Lifts All Search
Generative engine optimization didn't just lift AI referral traffic — it boosted traditional search performance across the board. The same structured data, E-E-A-T signals, and content depth that improve AI search visibility also improve rankings on Bing, Yahoo, and DuckDuckGo.
Bing organic
+825%
Yahoo organic
+3,200%
DuckDuckGo organic
+1,400%
Engagement rate
83.6% → 90.5%
Key events (conversions)
+20.8%
Business impact: SellerMockups acquired its first paying customer during this 30-day period. The combined lift in visibility and engagement across all sources created the conditions for conversion.
Why This GEO Strategy Worked
Structured Data
61% of cited pages use schema
Before our work, SellerMockups had zero schema markup. After: Organization, WebSite, Person, BlogPosting, Product, SoftwareApplication, and FAQPage schema across the entire site.
Freshness Signals
3.2x citation multiplier
Pages with recent dateModified signals see a 3.2x citation multiplier in generative engines. Adding dateModified to all content gave AI platforms a reason to prefer SellerMockups over competitors.
Content Depth
4.3x citation multiplier
Longer, more comprehensive content sees a 4.3x citation multiplier in AI responses. The expanded llms-full.txt (5,500 words) gave LLMs substantive material to cite.
E-E-A-T Signals
64 posts given real authorship
Named authors, About pages, social proof, and verifiable credentials influence AI recommendation engines just as they influence traditional search.
Key Takeaways
GEO is a real, measurable channel.
43 sessions from 4 different AI platforms in 30 days, with engagement metrics that exceed most traditional channels.
The technical foundation matters most.
The single biggest unlock was making the site discoverable and parseable by AI crawlers. Without llms.txt, proper robots.txt permissions, and schema markup, nothing else works.
Quality over quantity.
We didn’t create hundreds of new pages. We made existing content machine-readable, authoritative, and fresh. The 64 existing blog posts just needed proper attribution and structured data.
The halo effect is real.
GEO improvements lifted Bing (+825%), Yahoo (+3,200%), and DuckDuckGo (+1,400%) in addition to AI platforms. One investment, multiple returns.
AI traffic is high-intent traffic.
Users who arrive via AI recommendations have already been pre-qualified by the AI’s response. They know what the product does and why it was recommended.
Want Results Like These?
Our GEO Audit shows you exactly where your business stands in AI search — and gives you a prioritized action plan to start showing up in ChatGPT, Perplexity, and Google AI recommendations.
Questions? Email jolyn@avante.agency or call (702) 525-5958.