This Is Not Traditional SEO Or Paid Media
Most marketing services are built around direct inputs.
Paid ads buy attention.
Traditional SEO optimises pages for rankings.
Both can work - but neither explains why Ai recommends one brand and ignores another.
Ai systems don't respond to single tactics in isolation.
They evaluate patterns of trust across your content, your site structure, your brand presence, and your evidence.
That's why this work sits in a different category.
We specialise exclusively in Ai search visibility - how Ai systems decide which brands to surface, cite, and recommend when users ask questions.
And that decision is influenced by far more than content alone.
Publishing content isn't the problem. Being recognised by AI is.
Businesses are waking up to the fact that customers aren't just searching anymore - they're having conversations with AI.
The shift has happened faster than anyone expected, but the guidance hasn't caught up.
Brands are being told to chase prompts and publish more content, without understanding how AI systems actually decide who to recommend.
Ai Recommendations Are Shaped By Connected Signals
Content is the foundation - but it isn't the whole system.
Ai systems look for coherence. They favour brands that present a clear, consistent picture over time, rather than isolated moments of optimization.
These signals don't operate independently.
They reinforce each other.
When everything points in the same direction, Ai systems become more confident in selecting, referencing, and recommending a brand. When it doesn't, even strong individual efforts tend to stall.
That's why shortcuts, hacks, and one-off changes rarely translate into lasting Ai visibility.
Ai systems look for consistency across:
- how your site is structured and understood
- whether your expertise is supported by evidence
- whether your brand appears active and credible beyond your website
- whether claims are reinforced by real-world validation
That includes elements like:
- site architecture and technical clarity
- case studies and testimonials
- visible activity across relevant social platforms
- consistency between what you publish and how your brand shows up elsewhere
These Signals Don't Operate Independently.
They Reinforce Each Other.
This is why shortcuts, hacks, and isolated optimisations rarely lead to lasting Ai visibility.
AI Visibility System
Our authority framework for AI search and summaries
Most brands are guessing how to get recommended by AI.
They're chasing prompts, publishing more content, and hoping something sticks - while the market fills with quick fixes, hacks, and tactics that don't translate into lasting visibility.
We built the AI Visibility System to remove that guesswork.
It's a structured approach to how AI systems interpret, trust, and reuse your brand's information - not just what you publish, but how your brand presents itself as a whole.
This isn't a one-off optimisation. It's designed to compound - building durable authority that strengthens over time.
Limited capacity. We take on a small number of brands at a time.
"I really think is the future if you're serious about ranking in Ai search."
Why this works differently
Proof of Results
Real outcomes from our LLM optimization work
Case study: Ai visibility in a highly competitive market
In a highly competitive U.S. skincare market, we applied our Ai Visibility System to restructure how content, site signals, and brand authority were presented to Ai systems.
Rather than relying on shortcuts or volume, the work focused on clarity, trust signals, and consistency across content, structure, and supporting brand signals.
Within the first 30 days, the brand achieved top placement in Ai-generated results, maintained that visibility, and saw a 450% increase in organic traffic - driven by sustained inclusion in Ai summaries and recommendations.
This outcome wasn't the result of a single tactic, but a connected system designed to compound over time.
Answers to your most common questions
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Tell us about your brand and how we can help you get recommended by Ai.