GEO Case Study — SellerMockups.com
How GEO Drove +1,500% Organic Search and 475 AI-Platform Sessions Since Launch
Apples-to-apples GA4 comparison — from launch (Mar 4, 2026) through July 8, 2026 (127 days), measured against the equivalent 127-day pre-audit window. SellerMockups grew total sessions +212%, pulled in 426 sessions from ChatGPT/OpenAI, 34 from Claude, 9 from Microsoft Copilot, and 6 from Perplexity — with no additional ad spend.
Every number on this page is pulled directly from the GA4 Data API, property 518992634. Refreshed July 9, 2026.
+1,500%
Organic search
475
AI-platform sessions
+212%
Total sessions
+278%
Engaged sessions
Free Download · 1-Page PDF
Take this case study to your next sales call.
All the GA4 numbers below, condensed into one printable page. Hand it to a prospect, attach it to an email, or use it on a call to show what GEO actually delivers.
No email required. 2-page PDF: page 1 summary + page 2 GA4 Data API receipts. JPG is page 1 only.
Launch to Now · Mar 4 → Jul 8, 2026 · 127 days
The GA4 Receipts
Every figure below is pulled directly from the GA4 Data API for property 518992634(SellerMockups) on July 9, 2026 — the raw Analytics Data API, not a marketing dashboard. The primary window is Mar 4 – Jul 8, 2026 (127 days since GEO implementation began). The comparison is the equivalent 127-day pre-audit window, Oct 28, 2025 – Mar 3, 2026. Anyone with property access can reproduce every number. No filters. No cherry-picking.
Traffic overview — total sessions +212.04%, engaged sessions +277.92%
The entire 127-day pre-audit window produced just 822 sessions. The 127 days since launch produced 2,565 — and GA4-tracked revenue went from $0 to $39.97.
Channel breakdown — Organic Search +1,500%(46 → 736 sessions)
Organic Search jumped from 46 to 736 sessions. Paid Search held essentially flat (+9.82%) — the gain wasn't bought. And GA4 now reports a dedicated “AI Assistant” channel at 83 sessions— a classification that didn't exist when this study first published.
AI Platform Referrals — Source / Medium View
The same data, grouped by Session source / medium. Every AI row below was effectively zero in the pre-audit window.
Totals: ChatGPT/OpenAI 426, Claude 34, Copilot 9, Perplexity 6 — 475 AI-platform sessions driving 598 key events. Claude.ai referral sessions averaged 6m 42s at 8.2 events/session.
ChatGPT / OpenAI
all chatgpt.com + openai
426
Sessions
522 key events
Claude.ai
referral + ai-assistant
34
Sessions
56 key events
Microsoft Copilot
copilot.com
9
Sessions
12 key events
Perplexity
perplexity.ai + perplexity
6
Sessions
8 key events
475 AI-platform sessions cumulatively, driving 598 key events. ChatGPT and OpenAI sources alone delivered 426 sessions and 522 conversions. Microsoft Copilot, Perplexity, Claude.ai, and OpenAI are all new traffic sources that did not exist pre-audit.
Source: Google Analytics 4 Data API, property 518992634. Window: Mar 4 – Jul 8, 2026 (127 days post-launch) vs Oct 28, 2025 – Mar 3, 2026 (127 days pre-audit). Pulled July 9, 2026.
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.
Full disclosure: SellerMockups is our own e-commerce property, built and operated by Avante's founder. That's exactly why we can publish receipts most agencies can't share for client sites — the GA4 property ID, the raw Data API pulls, and every before/after number on this page.
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.
Effectively zero AI referral traffic — the site was invisible to ChatGPT, Claude, Perplexity, and Copilot
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 between early March and April 2, 2026 — 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 — Per-Platform Conversion View
Industry average is under 1% AI referral traffic. Across the 127-day post-launch window, SellerMockups pulled in 475 AI-platform sessions that drove 598 key events. The breakdown by source, with engagement quality, is below.
475
Direct AI referral sessions (127 days)
+492.31%
Tracked conversions (key events)
76% → 92%
Engagement rate (+21.16%)
Per-Platform Cumulative Breakdown (Mar 4 – Jul 8, 2026)
ChatGPT is the largest AI source at 426 sessions across all chatgpt.com and openai sources and 522 tracked conversions. Microsoft Copilot converted at 100% (every session triggered a key event). Bing organic is included because ChatGPT Search and Copilot both index from Bing.
The Ripple Effect: GEO Lifts All Search
Generative engine optimization didn't just lift AI referral traffic — it lifted every search surface. From launch (Mar 4) through Jul 8, organic search jumped +1,500%, Yahoo organic +7,000%, and DuckDuckGo went from 0 to 37 sessions. Same structured data, E-E-A-T signals, and content depth that drove ChatGPT and Claude citations rebuilt the entire search footprint.
Total sessions
+212.04%
Engaged sessions
+277.92%
Organic Search sessions
+1,500%
Yahoo organic
+7,000%
DuckDuckGo organic
NEW (0 → 37)
Engagement rate
76.03% → 92.09%
Business impact: SellerMockups went from zero tracked GA4-attributed revenue pre-audit to $39.97 in tracked revenue post-audit, with the site’s engagement rate climbing from 76.03% to 92.09%. AI-referred visitors arrive pre-qualified by the AI’s recommendation — and the data shows they spend longer (Claude.ai sessions averaged 6m 42s with 8.2 events/session) and convert at materially higher rates.
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, repeatable channel.
475 direct sessions from ChatGPT, Claude, Microsoft Copilot, Perplexity, and OpenAI from launch through Jul 8, 2026 (127 days), driving 598 tracked conversions. Every number pulled from the GA4 Data API, property 518992634, apples-to-apples vs the equivalent pre-audit period.
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.
Sustained, every week, since launch.
Four months of continuous post-launch data: 475 AI-platform sessions, +1,500% organic search, +212% total sessions. The gains compounded week over week as AI platforms had a structured site to keep citing — not a one-time spike.
New AI platforms surface as you wait.
Microsoft Copilot wasn’t in the original launch case study. It is now driving recurring referral sessions at 100% engagement — because the GEO foundation made the site eligible the moment Copilot started crawling.
The halo effect is real — and bigger than expected.
Organic search grew +1,500% (46 → 736 sessions). Yahoo organic +7,000%. DuckDuckGo went from 0 to 37 sessions. Bing organic is now the second-largest source overall at 314 sessions. One GEO investment, returns across every search surface.
AI traffic is high-intent traffic.
Engagement rate climbed from 76.03% pre-audit to 92.09% post. Claude.ai sessions averaged 8.2 events/session and 6m 42s engagement — visitors arriving via AI recommendations have already been pre-qualified by the AI’s response.
Want Results Like These?
The $5,000 GEO / AI Visibility Audit shows exactly where your business stands across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude, with a 90-day prioritized fix roadmap.
Questions? Email jolyn@avantevisibility.com or call (702) 525-5958.
