Generative Engine Optimisation services that boost AI Visibility
As AI-powered platforms begin to fragment the traditional way of searching,
As a leading provider of GEO services Melbourne businesses trust, Spicy Web ensures your digital presence is ready for AI search.
🔎 Technical Traditional SEO
We begin with a technical audit of your site, focusing on optimising key factors like JavaScript, HTML5, and Schema Markup to ensure your content is accessible to AI crawlers. This foundational step includes adding the right schema to enhance your visibility across Google SERP features and make your content more discoverable.
📌 Semantic Grounding
AI systems rely heavily on semantic understanding to evaluate content relevance. We use a range of tools to map entities—such as industry standards, concepts, and authoritative sources—that AI systems expect to see. This helps position your brand as a trusted authority, ensuring that AI is more likely to reference your content when users seek answers in your field.
🏢 Vector-Ready Structure
AI reads content differently from humans. To ensure it can efficiently understand your material, we use Vector-Optimised Structure. By implementing Definition-First layouts and overhauling your landing pages with the perfect AI Landing Page template, we make your content digestible for AI. This includes using citable hero resources, and clearly structured data, all designed to enhance your content’s extractability for AI summarisation.
🔗 Fan-out Visibility
For your brand to become a go-to source for AI, it must be present in trusted networks. We focus on improving your visibility in industry bodies, government directories, and high-authority media outlets—key sources that AI systems use during their research fan-out. This ensures your brand is consistently referenced by AI in conversational summaries, boosting both authority and citations.
60%+
of Google searches now end without a click, as users increasingly get answers directly from SERPs and AI-generated summaries.
70%+
of consumers now use AI tools during research, often asking large language models (LLMs) for recommendations before visiting websites.
40%+
of users now trust AI recommendations as much as search results, especially during early research stages.
