AI Semantic Mapping
Structuring your site's DNA so Large Language Models understand your brand's core context instantly.
Citations & Authority
Boosting your brand's presence in AI training sets and high-authority datasets for better AI mentions.
GEO Strategy
Generative Engine Optimization to ensure your business is the top recommendation in ChatGPT, Claude, and Gemini.
Response Engineering
Optimizing content to capture the 'AI Snapshot' and become the primary source for generative answers.
Knowledge Graph Integration
Linking your brand to global entity nodes to solidify your position as a verified industry leader.
AEO Audit
Deep technical analysis of how Answer Engines perceive your data and fixing visibility gaps.

Brand as an Entity
AI models trust entities, not keywords.
WhatdoesLLMOinclude?
We optimize how AI systems discover, interpret, and recommend your brand.
Visibility where humans no longer search.
Traditional SEO only
Industry average: 40%
Keyword-only SEO
THEROIDISTINCTION
Dominate the AI Answer Engine
Entity & semantic optimization to ensure your brand is the primary AI citation
Proprietary LLMO dashboard tracking 'Share of Model' and AI sentiment reach
Knowledge Graph engineering to feed accurate, structured data to neural networks
Proactive 'Model-Proofing' against hallucination and competitor displacement
Legacy SEO Strategy
Keyword-centric approach that ignores how LLMs parse unstructured data
Reliance on CTR from search pages that are being replaced by AI Overviews
Standard metadata that lacks the semantic depth required for AI training sets
Zero visibility into whether AI models recommend your brand or your competitors
Fragmented Data Model
Inconsistent brand data leading to AI hallucinations or 'I don't know' responses
High risk of AI models citing outdated or negative third-party information
Lack of structured Schema.org markup, making your site 'invisible' to crawlers
Manual updates that cannot keep pace with the 24/7 learning cycles of AI
Proprietary RBS Methodology • 2026 Audit Standards
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