Built for modern search reality
Most agencies treat AI search as an add-on to traditional SEO. We built our entire approach around how retrieval systems actually work, whether that's Google's algorithms or ChatGPT's citation engine.The Retrieval-First Engine™ isn't another quick fix. It's a systematic methodology for making your content discoverable, extractable, and citable across all the platforms that matter to your audience.
The Retrieval-First Engine™ is our framework for making that happen.
Rather than optimising content for outdated ranking models, we structure knowledge for how AI systems retrieve, interpret, and cite information today.
We optimise for search engines and engineer for AI retrieval.
Our Five Step Framework
We implement this methodology through a flexible framework that adapts to your goals. It might begin with traditional SEO or an AI visibility audit, but it always ends with focus, structure, and presence across the full spectrum of search.
3.
Content Engineering
Transform existing content into atomic, AI-readable formats.
Using chunking, micro-schema and prompt alignment, we rework content for extractability, not just readability.
Core Activities:
AI-optimised content structuring, retrieval-focused rewriting, prompt-aligned formatting.
4.
Monitoring & Optimisation
In a rapidly evolving search landscape, continuous monitoring drives results.
We track how your content performs across Google and AI platforms, identify when visibility drops, and continuously optimise based on what's working.
Core Activities:
AI citation monitoring, performance optimisation, competitive intelligence, content refresh recommendations
Getting found on both search engines and AI platforms creates something bigger than visibility. It creates sustained authority that builds momentum.
Let’s Build Your Engine
Start with a conversation, no pressure, no push. Just clarity on where you stand, where systems can drive growth, and how AI can fit into your day-to-day operations.