AI Search Optimization
Moving beyond keywords to semantic authority. We restructure your content so AI models can confidently extract, cite, and recommend your brand.
Service Overview
AI Search Optimization is the process of preparing your digital content for the era of Answer Engines. While traditional SEO focuses on ranking pages in a list, AI Search Optimization focuses on becoming the definitive answer provided by Large Language Models (LLMs).
Our approach combines Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) to ensure your brand is cited by ChatGPT, Claude, Perplexity, and Google AI Overviews.
AEO vs. GEO: Two Sides of the Same Coin
AEO
Answer Engine Optimization focuses on direct, factual retrieval. We optimize for the "instant answer" queries where users want a specific solution without clicking through.
GEO
Generative Engine Optimization focuses on influencing the latent space of LLMs. We ensure your brand's unique value and expertise are baked into the model's synthesis of complex topics.
The Power of Answer Capsules
The core of our optimization strategy is the implementation of Answer Capsules. These are specifically formatted content blocks designed for high-confidence extraction by AI scrapers and RAG (Retrieval-Augmented Generation) systems.
- Directness: Eliminating fluff and "SEO filler" text that confuses LLMs.
- Fact Density: Maximizing the number of extractable entities per paragraph.
- Citation Hooks: Structuring data in ways that helps AI models to credit your brand as the source.
- Semantic Hierarchy: Using H1-H4 structures that map to natural language questions.
Platform-Specific Optimization
Not all AI platforms "search" the same way. We tailor your content for the specific retrieval mechanisms of each major player:
| Target | Optimization Lever |
|---|---|
| ChatGPT / SearchGPT | Bing index depth and training data relevance |
| Perplexity | Real-time citation authority and source reliability |
| Claude / Brave | Contextual accuracy and technical depth |
| Google AIO | E-E-A-T signals and Knowledge Graph connectivity |
Expected Results
By implementing our AI Search Optimization framework, brands typically see:
- Increased citation frequency in AI-generated answers.
- Higher "Share of Model" and "Share of Voice" compared to key competitors.
- Reduced "Citation Friction" (making it easier for AI to find and use your data).