AI Search Analysis
Analyze how brands grow search visibility in AI using modern SEO pillars
Generative Engine Optimization
Are we retrievable and cite-worthy in AI tools like ChatGPT, Gemini, Perplexity?
Internal FocusAI Integration Optimization
Is our content structured to integrate into AI tools, APIs, and workflows?
Internal FocusAnswer Engine Optimization
Are we optimized to appear in Google SGE, snippets, and voice answers?
External FocusSearch Experience Optimization
Is our site experience optimized for engagement, trust, and usability?
External FocusTactics by Optimization Goal
Chosen by AI Overviews
- Semantic HTML structure
- Factual tables & lists
- Prompt-style phrasing
- Persona-based guides
- Retrieval-first strategy
- Citation-ready formatting
- Track LLM mentions
- Query-mapped headers
- Evergreen deep content
- Trusted source signals
- Prompt-aligned repurposing
Cited by AI
- FAQ + summary schema
- Question-based headings
- Entity-rich definitions
- Snippet gap targeting
- SGE card readiness
- Visual content blocks
- Clear, fluff-free writing
- Stat boxes + steps
- Query-form answer logic
- SERP result enhancement
- Zero-click format testing
Scaled with AI
- GPT plug-in content
- Structured AI data feeds
- App-level summaries
- RAG-friendly layouts
- API-enhanced metadata
- AI-digestible formats
- Dev-friendly documentation
- Markdown-based chunking
- Embedded AI previews
- Integration tracking tools
- Niche-specific use cases
Converted via UX
- Fast mobile design
- Scannable content blocks
- Fewer intrusive elements
- CTA intent matching
- Decision-stage UX layout
- Readability-first design
- Author trust signals
- Intent-driven personalization
- SEO + CRO alignment
- Behavior-informed layout
- Inclusive, accessible design
Search. Structure. Cite.
Master the layers → Train the AI. Structure for retrieval. Publish for visibility.
Frequently Asked Questions
What is AI Search Analysis?
AI Search Analysis is the process of evaluating how brands grow visibility across AI-powered search platforms. It examines four pillars — GEO, AIO, AEO, and SXO — to understand where content appears in AI responses and how to optimize for each channel.
How does GEO differ from traditional SEO?
GEO (Generative Engine Optimization) focuses on being retrieved and cited by AI tools like ChatGPT and Perplexity, not just ranking on Google. It prioritizes semantic structure, citation-ready formatting, and LLM-friendly content over traditional keyword targeting and backlinks.
What is AI Integration Optimization (AIO)?
AIO focuses on structuring content to integrate directly into AI tools, APIs, and workflows. This includes creating GPT plugins, structured data feeds, RAG-friendly layouts, and API-enhanced metadata that AI systems can consume programmatically.
Why is Answer Engine Optimization (AEO) still important?
AEO targets Google SGE, featured snippets, and voice search answers. As AI increasingly powers Google's search results, being optimized for these answer formats ensures visibility both in traditional search and AI-enhanced search experiences.
How does SXO connect to AI visibility?
Search Experience Optimization (SXO) ensures users who arrive via AI citations have a positive experience. Fast loading, clear structure, trust signals, and conversion-optimized layouts turn AI-driven traffic into actual business outcomes.
What tactics help content get chosen by AI Overviews?
Key tactics include semantic HTML structure, factual tables and lists, prompt-style phrasing, retrieval-first strategy, citation-ready formatting, query-mapped headers, and evergreen deep content that AI systems recognize as authoritative.
How do I track whether AI is citing my content?
Monitor LLM mentions by regularly querying AI tools with relevant prompts. Track which pages appear in AI responses. Use tools that monitor AI citations across platforms. Compare citation frequency before and after implementing GEO tactics.
Should I focus on all four pillars simultaneously?
Start with GEO and AEO for immediate visibility gains. Add AIO if you're building integrations or developer-facing content. SXO should be ongoing — it ensures traffic from any source converts. Prioritize based on your current gaps and goals.
The CITE Framework™
Our proven methodology for AI search optimization combines four critical pillars that determine citation success:
Content Structure
Organize information in AI-readable formats with clear hierarchies, structured data, and semantic relationships that LLMs can parse and cite accurately.
Intent Alignment
Match your content to the specific questions and needs users express in AI search platforms, ensuring relevance for both explicit and implicit queries.
Technical Excellence
Implement the infrastructure that AI platforms require: fast load times, clean HTML, proper schema markup, and accessibility standards.
Entity Authority
Build your brand as a recognized entity across knowledge graphs, citation networks, and authoritative platforms that AI systems trust.
Pro Tips
Analyze All 4 Pillars Simultaneously
AI search success requires balanced performance across all pillars. Analyzing them in isolation misses critical interdependencies and optimization opportunities.
Set Pillar-Specific KPIs
Each pillar needs distinct metrics. Don't use the same KPIs across all four - tailor measurement to what each pillar actually impacts.
Ready to Dominate AI Search Results?
Our SEO agency specializes in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies that get your brand cited by ChatGPT, Perplexity, and Google AI Overviews. We combine traditional SEO expertise with cutting-edge AI visibility tactics.