AI Search Optimization
Visible where AI searches happen.
We optimize your documentation and content so it surfaces in AI-powered search, answer engines, and generative results. Built for ChatGPT, Perplexity, Google SGE, and every AI search engine that follows.
What We Deliver
Content optimized for where AI searches happen.
From AISO and AEO to knowledge base optimization and AI search strategy, we cover everything your content needs to surface in AI-generated answers.
Visible in AI-generated answers
- AI Search Optimization (AISO)
- Answer Engine Optimization (AEO)
- Generative Engine Optimization (GEO)
- AI Search Readiness Audits
- Semantic Search Optimization
- Entity-Based Content Optimization
- Search Intent Optimization
- AI Search Performance Analysis
Content structured for AI retrieval
- RAG-Ready Documentation
- Knowledge Base Optimization
- Content Chunking
- Structured FAQs
- Semantic Content Structuring
- Metadata Strategy
- Content Taxonomy
- Cross-Linking Strategy
- Canonical Content
- AI Retrieval Optimization
A roadmap for AI search visibility
- AI Readiness Assessments
- Documentation Audits
- Content Gap Analysis
- Documentation Modernization
- AI Documentation Roadmaps
- Documentation Governance
- Performance Recommendations
- AI Search Consulting
Who We Work With
Built for teams who want to be found by AI.
As AI search becomes the default way people find information, the teams who invest in AI search optimization now will be the ones who get cited, referenced, and trusted.
Product Teams
Documentation Teams
Marketing Teams
AI Product Teams
Engineering Teams
Customer Success Teams
SEO & Growth Teams
Enterprise Brands
How We Work
Audit, optimize, structure, monitor.
AI search optimization starts with understanding how AI systems currently perceive your content, then systematically improving it so you get cited where it counts.
01 / Audit
Assess your AI search visibility
We audit how your content performs in AI search engines, identify gaps, and benchmark your visibility against competitors in AI-generated answers.
02 / Structure
Structure content for AI retrieval
We restructure your documentation with semantic markup, metadata, entity optimization, and content chunking designed for AI retrieval systems.
03 / Optimize
Write and optimize content
We rewrite and optimize content for search intent, semantic relevance, and answer-engine retrieval — so AI systems cite your docs as the authoritative source.
04 / Monitor
Track and improve
We monitor your AI search citation rates, track performance across AI engines, and provide ongoing recommendations to maintain and grow your visibility.
Tools & Platforms
We work across the AI search stack.
From content platforms and structured authoring tools to AI search engines and analytics, we optimize across the full AI search ecosystem.
ChatGPTPerplexityGoogle SGEBing CopilotClaudeGeminiLangChainLlamaIndexPineconeWeaviateChromaSchema.orgJSON-LDOpenAPIDITA XMLMarkdownMDXConfluenceNotionDocument360DocusaurusGitBookReadMeMintlifyGoogle Search ConsoleSemrushAhrefsValeAcrolinx
FAQs
Common questions.
What is AI Search Optimization (AISO)?
AI Search Optimization (AISO) is the practice of structuring and writing content so it surfaces in AI-generated answers on platforms like Perplexity, ChatGPT, Google SGE, and Bing Copilot. Where traditional SEO targets search rankings, AISO targets citation and inclusion in AI-generated responses.
What is the difference between AEO and GEO?
Answer Engine Optimization (AEO) focuses on getting your content cited in direct AI-generated answers. Generative Engine Optimization (GEO) is broader and covers optimizing for inclusion across all generative AI outputs. Both are disciplines we apply depending on your visibility goals.
Can you audit our existing documentation for AI search readiness?
Yes. We conduct AI search readiness audits that assess how AI systems currently retrieve and cite your content, identify structural and metadata gaps, and provide a prioritized action plan to improve your visibility.
How is AI search optimization different from traditional SEO?
Traditional SEO optimizes for search engine rankings and click-through rates. AI search optimization focuses on being cited and referenced in AI-generated answers, which requires different signals: semantic structure, entity clarity, content authority, and retrievability by LLM systems.
Do you optimize documentation specifically for RAG systems?
Yes. We structure and chunk documentation specifically for retrieval-augmented generation pipelines, optimising content boundaries, metadata, and semantic links so your RAG system retrieves the most accurate and relevant content.
How do you measure AI search performance?
We track citation rates across AI search engines, monitor which content gets referenced in AI-generated answers, and benchmark your visibility against competitors. We provide regular reports and recommendations based on AI search performance data.
Ready when you are
Be the source AI cites.
Tell us about your content. We audit, optimize, and structure your documentation so it surfaces in AI-generated answers across every major AI search engine.