— Our Approach
How We Engineer AI Search Visibility
Our approach to GEO and AEO is rooted in semantic engineering — not keyword stuffing.
Entity Audit & Mapping
#1
We analyze how AI models currently perceive your brand — identifying gaps in entity recognition, citation patterns, and competitive positioning.
Digital PR & Seeding
#4
Strategically place your brand alongside target keywords in high-authority publications to train LLM weights.
Entity Graph Building
#2
Build comprehensive Organization, Service, and Person schemas. Define your brand as a distinct, authoritative digital entity.
Continuous Monitoring
#5
Track LLM citation frequency, accuracy, and competitive share of voice with our proprietary monitoring stack.
Citation-Worthy Content
#3
Produce content in formats LLMs prefer: structured definitions, bulleted authority lists, and markdown-friendly tables.
Iterative Optimization
#6
Feed performance data back into the content engine — continuously improving entity authority and citation rates.
— The Scoreboard
Proof in The Numbers
340% AI Citation Boost // 12x Search Visibility // 92% Entity Accuracy // 85+ Brands Optimized //
Proprietary LLM Benchmarks
Tracked via the DAXsocial Intelligence Lab
92%
Entity Accuracy
Ensuring AI models recognize your brand correctly.
12x
SGE Visibility
Massive growth in Generative Search impressions.
340%
AI Citations
Increasing how often ChatGPT/Gemini mention you.
85+
Brands Mapped
Proven authority across complex digital entities.
— Technical Capabilities
What We Deliver
Google Knowledge Graph Optimization
Schema.org Structured Data Implementation
Topical Cluster Mapping for LLM Training Data
ChatGPT / Gemini / Perplexity Visibility Tracking
LLM Citation Building & Monitoring
Generative Search Appearance Optimization
Semantic HTML & Content Structuring
Competitive AI Visibility Analysis
Entity Disambiguation & Authority
FAQ Schema Architecture (AEO)
Digital PR for Entity Authority
Brand Entity Definition & Management
— FAQ
Frequently Asked Questions
AI Search Optimization is the practice of structuring content so AI systems can easily understand, retrieve, and reference it. This involves clear language, structured sections, and direct answers to common questions to increase the likelihood of AI citation.
Generative Engine Optimization (GEO) is the process of configuring a brand's digital footprint so that Large Language Models (LLMs) and AI search engines, such as Google Gemini and Perplexity, cite the brand as a primary authority. GEO emphasizes entity clarity and the deployment of citation-worthy data.
The DAX Method (Design, Analyze, Execute) is our proprietary framework that maps your brand's entity architecture, decodes platform algorithms through rapid testing, and deploys assets optimized for GEO, AEO, and SDO simultaneously. This ensures your brand is not just found — but cited as the authority.
Answer Engine Optimization (AEO) optimizes your content to appear as direct answers in AI assistants and featured snippets. It involves structuring content with clear definitions, FAQ schemas, and bulleted formats that AI models prefer to extract and cite as authoritative responses.
Social Discovery Optimization (SDO) or Social Search Optimization (SSO) is the process of structuring and tailoring content (using keywords, captions, and visual data) to ensure it is easily found within social media platform search engines, such as TikTok, Facebook, Instagram, and LinkedIn.
We track LLM citation frequency, generative search appearance rates, entity recognition accuracy, and algorithmic discovery impressions across all major AI and social platforms. This data feeds directly into revenue attribution models so you see the bottom-line impact.
Generative Engine Optimization (GEO) is the process of configuring a brand's digital footprint so that Large Language Models (LLMs) and AI search engines, such as Google Gemini and Perplexity, cite the brand as a primary authority. GEO emphasizes entity clarity and the deployment of citation-worthy data.
Algorithms evaluate content based on algorithmic familiarity, audience expectation, and topical relevance. When content clearly aligns with audience interest and provides strategic value, platforms are more likely to distribute it broadly.
Google Knowledge Graph Optimization
LLM Citation Building & Monitoring
Schema.org Structured Data Implementation
FAQ Schema Architecture (AEO)
Semantic HTML & Content Structuring
ChatGPT / Gemini / Perplexity Visibility Tracking
Brand Entity Definition & Management
Competitive AI Visibility Analysis
Digital PR for Entity Authority
Topical Cluster Mapping for LLM Training Data
Generative Search Appearance Optimization
Entity Disambiguation & Authority
Entity Audit & Mapping
#1
We analyze how AI models currently perceive your brand — identifying gaps in entity recognition, citation patterns, and competitive positioning.
Citation-Worthy Content
#3
Produce content in formats LLMs prefer: structured definitions, bulleted authority lists, and markdown-friendly tables.
Entity Graph Building
#2
Build comprehensive Organization, Service, and Person schemas. Define your brand as a distinct, authoritative digital entity.
Digital PR & Seeding
#4
Strategically place your brand alongside target keywords in high-authority publications to train LLM weights.
Continuous Monitoring
#5
Track LLM citation frequency, accuracy, and competitive share of voice with our proprietary monitoring stack.
Iterative Optimization
#6
Feed performance data back into the content engine — continuously improving entity authority and citation rates.