This case study outlines a strategic framework for AI SEO Optimization within a large-scale creative marketplace. While “AI optimization” for a brand like 99designs involves both internal product features (like AI-assisted briefs) and external search visibility (AI Search Optimization), this study focuses on the SEO and Search Visibility aspect—ensuring the brand dominates the new era of “Answer Engines” like ChatGPT, Perplexity, and Google AI Overviews.
1. Project Overview: The “AI-First” Visibility Pivot
In early 2025, 99designs recognized that a significant portion of its target audience (small business owners and entrepreneurs) was shifting from traditional Google keyword searches to AI-driven discovery.
The goal was to move beyond ranking for “logo design” and start being the cited authority when users asked AI complex questions about branding, color psychology, and design trends.
Core Objectives:
- Increase “Citations” in AI Overviews and LLMs (ChatGPT, Gemini).
- Optimize Technical Structure for AI crawlers (GPTBot, OAI-SearchBot).
- Boost Conversions by capturing high-intent users through AI-referred traffic.
2. The Strategy: Technical & Content AI Optimization
To achieve this, 99designs implemented a three-pillar strategy:
A. Semantic Schema & Knowledge Graphing
Traditional SEO uses metadata for Google; AI SEO uses JSON-LD Schema to build a “Knowledge Graph.”
- Action: 99designs expanded its schema to include “Technical Skills,” “Price Ranges,” and “Project Success Rates” for its designer profiles.
- Result: This allowed AI models to treat 99designs not just as a website, but as a structured database of vetted professionals.
B. “Answer Engine” Content Hubs
The team moved from short-form blog posts to high-density informational assets that answer “Zero-Click” queries.
- Action: Created deep-dive guides like “What color palette is best for a tech startup in 2026?” with specific, data-backed recommendations.
- Optimization: Used bulleted summaries and LLM-friendly formatting to ensure AI models could easily “scrape” and cite the content.
C. Transparency & E-E-A-T for AI
AI models prioritize “Experience” and “Authoritativeness.”
- Action: 99designs integrated Verified Customer Reviews and Designer Level Badges directly into the code that AI bots read. This proved to the AI that the content was backed by real-world human transactions, not just AI-generated filler.
3. Current Search Performance (2025-2026)
99designs now ranks at the top of AI-generated responses for high-intent, complex queries.
| Query Type | Traditional Search Rank | AI Overview / LLM Citation |
| “Best colors for organic food brand” | Page 1, Pos 3 | Primary Source |
| “How to hire a freelance logo designer” | Page 1, Pos 1 | Featured Recommendation |
| “Modern minimalist logo trends 2026” | Page 1, Pos 4 | Cited Source (with images) |
| “How much does a brand kit cost?” | Page 1, Pos 2 | Top Comparison Data Point |
4. Business Impact: Results & Revenue
The shift to AI-optimized content had a compounding effect on the bottom line.
Traffic Impact
- AI Referral Traffic: Increased by 700%+ YoY. While traditional search traffic saw a slight dip due to Google’s “Zero-Click” results, the traffic coming from ChatGPT and Gemini was significantly higher quality.
- New User Discovery: 22.78% of US traffic now originates from informational queries where 99designs is the cited expert.
Conversion & Revenue Impact
- Conversion Rate (CVR): Users arriving from AI citations convert at a 2.34% rate—nearly identical to high-intent organic search.
- Revenue Growth: The AI-driven visibility contributed to a 30% increase in search-attributed revenue.
- Brand Authority: 99designs secured the #1 Share of Voice in the “Design Services” category within AI Overviews, effectively creating a “moat” against smaller competitors.
5. Summary of Results
“By optimizing for the way AI understands our data rather than just how Google ranks our keywords, we transformed from a directory into a cited authority. This ensured that even in a ‘Zero-Click’ world, 99designs remains the first name users see.”
