Our Four-Step Solution
How We Work
A systematic methodology for optimising for AI Search. We diagnose, architect, prepare, and amplify—turning AI visibility from guesswork into engineering.
Competitive Visibility
See where you stand relative to competitors in the AI's knowledge layer. Understand who gets recommended, and why.
AI Selection Rate
Quantify how often AI systems choose your brand when answering queries in your category. The metric that matters in the generative era.
LLM Brand Sentiment
Analyse how AI models perceive your brand by examining semantic associations in their training data. No guesswork, just observable patterns.
SXO & Semantic Architecture
Optimising site architecture and EEAT signals to provide a crawlable, authoritative base for AI agents.
Entity Optimisation
Strengthen your brand's knowledge graph presence. Clear entity relationships mean consistent AI representation across platforms.
Content Authority Signals
We execute technical and content strategies to build "Machine Trust," ensuring your brand is the cited authority for your core topics.
AI Agent Optimisation
Prepare for the shift from human-driven search to AI-driven transactions by optimising for autonomous agent protocols.
Data Provenance
Verifiable, trustworthy data is the currency of AI commerce. Establish clear provenance chains that agents can validate.
Agentic Protocol Setup
Optimising product data for OpenAI's ACP, Google's UCP, and Anthropic's MCP protocols to ensure "choosability."
Generative Engine Advertising
Prepare the strategic infrastructure needed to leverage paid advertising opportunities within generative AI environments.
AI Advertising Insights
Analyse competitor Ad placements & copy.
Incredible Intent Signals
Ads in ChatGPT and Google's AI Mode offer incredible relevance & customer intent.
Ready to Start?
Every engagement begins with understanding where you stand. Book a consultation to discuss your AI visibility challenges and explore the right starting point.
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