We train the AI on you - at scale.
Our signature service. A proprietary prompt orchestration system that sends millions of structured signals across the Big Four LLMs to reinforce your brand, category position and entity associations - so AI doesn't just learn about you, it learns to recommend you.
LLMs learn from patterns. We engineer the patterns.
Orchestration at scale
Millions of structured signals routed across ChatGPT, Claude, Gemini and Perplexity, continuously.
Brand-category-entity reinforcement
Each signal reinforces who you are, what category you lead, and which problems you solve.
Feedback loop to tracking
Live tracking data feeds back into the prompt library so signals tighten where it matters most.
Compounding category position
The longer it runs, the more often you're the default cited answer in your category.
Signal orchestration, continuously refined.
LLMs absorb patterns from the web and from interaction. Most agencies try to influence the first layer - content, citations - and ignore the second.
Our proprietary prompting layer engineers structured, plausible signal across all four major LLMs at a scale no individual brand could organically produce. Every signal reinforces brand-category-entity associations and is tied back to live visibility tracking.
It's a signature, senior-led service. We don't sell it as a checkbox. It's how we move clients from "sometimes mentioned" to "default cited" in their category.
Six layers of signal engineering.
Category positioning
Senior strategist defines the brand-category-entity story we're reinforcing.
Prompt library build
We build a custom prompt library tuned to your category and competitor set.
Multi-model orchestration
Signals are routed across all four major LLMs at scale, in structured patterns.
Tracking feedback loop
Live citation and rank data feeds back into the prompt mix every week.
Competitor counter-signal
When a competitor surges, the library is re-tuned to defend or reclaim share.
Senior weekly review
Senior strategist reviews movement and signal coherence every week, not monthly.
What's included
- Proprietary prompt orchestration across the Big Four LLMs at scale
- Reinforcement of brand–category–entity associations
- Continuous signal feedback loops tied to live tracking data
- Custom prompt libraries per client, refined weekly
- Senior strategist weekly review and re-tuning
- Quarterly category-position review at executive level
Questions we hear most often.
Is this prompt injection or anything black-hat?+
No. We do not exploit, jailbreak or attack any model. We orchestrate structured, plausible signal at a scale individual brands could not produce organically - well inside each platform's terms.
Will LLMs penalise the brand?+
Not when it's done the way we do it. The signal is structured, plausible and aligned with how models already learn. Spammy, repetitive or manipulative signal gets discounted; coherent signal compounds.
How long until I see movement?+
Most clients see measurable citation-rate movement within 60–90 days. The compounding effect on category position is most visible from month 4 onwards as signal reinforcement settles into model retrieval.
Can I run this without your content or off-page work?+
It works best stacked. Prompting reinforces what your content and off-page signal already tell models. Run in isolation, it still moves the needle, but you'll get 2–3x the effect when the on-page and off-page layers are aligned.
Is this just running a lot of ChatGPT prompts?+
No. It's a multi-model orchestration system with a per-client prompt library, structured signal patterns across all four major LLMs, and a feedback loop tied to live visibility tracking. The library is refined weekly.
Who owns the prompt library?+
We do, but the strategy, positioning and category story it reinforces are yours. If you ever leave, the brand-category-entity work we've built into your content and off-page layer stays with you.