KADENA

A Case Study from Kadena's Generative Engine Optimization

Executive Summary

TokenMinds helps Kadena to enhance their visibility in AI-generated responses. Many of their target audiences are switching to artificial intelligence (AI) tools rather than traditional search engines. Therefore, Kadena needs to ensure that their brand remains visible in AI-driven searches.

TokenMinds applied Generative Engine Optimization (GEO). This strategy focused on backlink optimization, schema markup, and content relevance. As a result, Kadena saw increased AI visibility, website traffic, and inbound leads.

Key Actions:

• Optimize backlinks to increase AI citations and visibility.

• Integrate schema markup for better AI indexing.

• Enhance content for semantic relevance and direct answers to queries.

• Monitor AI search results for continuous improvements.

Client Overview

Kadena

Kadena is a blockchain platform built for scalable applications and low-cost transactions. It provides a multi-chain ecosystem that makes blockchain technology faster and more efficient. Kadena focuses on helping both businesses and DeFi projects grow and succeed with blockchain solutions.

Industry: Blockchain

Kadena’s Objectives:

• Increase visibility in AI-driven responses for blockchain-related searches.

• Ensure brand recognition in the AI-powered digital world.

• Drive more leads through better content for AI tools.

Kadena’s Challenges

• Audience Shift

More people began using AI tools instead of traditional search engines for blockchain-related queries.

• Less Visibility

Kadena’s brand appeared less frequently in AI-generated responses compared to competitors in the blockchain space.

• Unoptimized Content

Kadena’s content was not optimized for AI-driven searches, leading to missed opportunities for visibility.

TokenMinds Solutions

Generative Engine Optimization (GEO) helps businesses improve their visibility in AI-driven responses. It ensures their brand is featured prominently in AI search results.

1. Backlink Strategy

Secured high-quality backlinks from relevant, authoritative sources to increase AI citations.

2. Content and Website Structure

Implemented structured data (JSON-LD) to improve AI indexing and content visibility.

3. Content Optimization

Enhanced Kadena content for semantic relevance, natural language, and direct answers to AI queries.

Solution 1: Backlink Strategy 

​​To increase Kadena visibility in AI-driven responses, we focused on securing backlinks from high-quality sources relevant to their industry.

What we did:

• Conducted research over a period, using Kadena targeted keywords across different AI platforms.

• Generated citations from relevant sources identified through AI queries.

• Vetted backlinks based on the established criteria to ensure quality and relevance.

Backlink Criteria:

• Domain Authority (DA)

Targeted sources with a DA of 40+ for strong credibility.

• AI Visibility Score

Prioritized platforms with an AI visibility score of 60+, indicating frequent AI citations.

• Traffic

Choose websites with high organic traffic (minimum 10,000 monthly visits).

• Geo-Relevance

Ensured backlinks came from sources relevant to Kadena’s target markets 

Solution 2: Content and Website Structure

To boost Kadena’s AI visibility, SEO alone wasn’t enough. We optimized the website structure to better suit both AI models and search engines.

Website Structure Optimization using JSON-LD (Schema Markup)

We focused on optimizing their website structure with JSON-LD schema markup. This helped AI models and search engines understand the content better. 

• Define key entities

Mark up broader concepts like blockchain technology, decentralized applications (dApps), and smart contracts.

• Product/service details

Include price, availability, and description for products and services.

• Rating/review schema

Add ratings and reviews to improve trustworthiness.

• Breadcrumb schema

Help AI models understand the website’s structure and hierarchy.

• FAQ schema

Mark up common questions to appear in rich snippets.

Solution 3: Content Optimization

Not only to fulfill keyword and company objectives, Kadena’s website should also answer the key pain points of their target audience. Optimizing the website content helps directly answer AI queries. 

Key Optimizations:

• Direct Answers

Content must address common pain points directly and be distributed across the site, including articles, landing pages, and FAQs.

• Semantic Relevance 

Focused on using terms and phrases that align with AI models' understanding of the content and match user intent.

• Natural Language

Structured content to flow naturally, using conversational language that AI models can easily process and respond to.

• Answering Key Pain Points

Addressed common challenges faced by Kadena’s target audience, ensuring that solutions were clearly presented in the content.

Before vs. After GEO

GEO Results

The implementation of Generative Engine Optimization (GEO) produced significant results for Kadena:

• 41% increase in AI visibility as Kadena’s brand appeared more frequently in AI-driven responses.

• 73.71% growth in new users from AI-driven platforms.

• 76.23% increase in website traffic from AI-driven sources.

• 21.74% rise in key events (leads generated from AI citations).

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FAQs

1. What is Generative Engine Optimization (GEO)?

GEO optimizes content and website structure to improve visibility in AI-driven responses from models like GPT, Google Gemini, and Perplexity.

2. Why is GEO important for my business?

More users are turning to AI tools instead of search engines. GEO ensures your brand stays visible and relevant in AI search results.

3. How does GEO improve my website's SEO?

GEO complements traditional SEO by focusing on AI-specific optimization. This includes backlink strategy, schema markup, and AI content optimization.

4. What kind of results can I expect from GEO?

GEO leads to increased AI visibility, more website traffic, and higher qualified leads.

5. How long does it take to see results from GEO? 

Businesses typically see measurable improvements in AI visibility and traffic within 3-6 months.