AEO, GEO & LLM Optimization
We position your brand at the forefront of the generative search revolution. By combining technical SEO with Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), we structure your application data, engineer semantic knowledge graphs, and align content with LLM retrieval patterns (RAG). We ensure your business is the definitive answer when AI assistants, LLMs, and conversational engines search the web for solutions. We build using high-performance backend development languages and frameworks including Python, FastAPI, Express.js, and NestJS. We specialize in API development and integration, creating secure, high-throughput RESTful and GraphQL APIs that sync data between frontends and backend services. We ensure all custom software projects deliver high reliability, clean architectural conventions, and detailed documentation. Every engagement includes 2 weeks of post-launch operational support at no extra cost to guarantee that your team is fully onboarded and any minor post-release issues are resolved immediately.
Key Features & Benefits
Technologies We Leverage
Frequently Asked Questions
Have questions about our aeo, geo & llm optimization service? Find answers to commonly asked questions below.
What is Generative Engine Optimization (GEO)?
GEO is the practice of optimizing website data structures, context clarity, and credentials so that AI systems (like Gemini, ChatGPT, Perplexity) cite your brand as the definitive answer.
How does AEO differ from traditional SEO?
Traditional SEO targets search results lists, while Answer Engine Optimization (AEO) designs FAQ-style, structured responses specifically matching conversational voice and AI assistant queries.
How do search engines query our data for AI summaries?
They use retrieval systems (RAG) to scan web pages, extracting structured schemas (JSON-LD) and clear text blocks to build summaries.
How do you structure semantic content for LLM ingestion?
We organize content into clear, fact-dense blocks with proper H2/H3 headings, avoiding empty marketing jargon.
Can you map Wikidata entity profiles for our brand?
Yes, we set up Wikidata links inside page schemas to define your company as an established entity in the global knowledge graph.
What structured data schemas do you recommend?
We configure ProfessionalService, Organization, Product, FAQPage, and Article schemas using JSON-LD.
How does page performance affect AI search engines?
AI search bots crawl sites with tight execution budgets. Slow pages are often skipped or down-prioritized in retrieval steps.
What is included in the 2 weeks of post-launch AEO support?
We track crawler indexing logs, check for Google Search Console errors, and verify schema syntax to ensure everything runs smoothly.
Can you track how often our brand is mentioned by Perplexity?
We analyze referral traffic and search queries, tracking changes in brand search volumes over time.
How do you optimize text blocks for voice assistants?
We draft concise, direct answers under H2 questions, optimizing them for text-to-speech engine playback.
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