01 Background
The way customers discover brands is shifting from a list of blue links to a synthesised answer. ChatGPT, Perplexity, Grok and Gemini increasingly answer in place of returning sources. For B2B brands, the question is no longer where do we rank, but how are we written about by the models that now mediate the buying decision.
02 The brief
Build a B2B platform that gives marketing and revenue teams a clear, measurable view of how their brand surfaces inside generative engines. Track visibility across LLMs, decode why answers look the way they look, and turn that signal into a concrete content and positioning playbook.
03 The solution
Altriix. A generative engine optimization platform built end to end by B One. Brand identity, product strategy, UX, system architecture, LLM orchestration and front-end engineering, all designed and shipped under one roof, for a category still defining itself.
The platform
Generative visibility, at scale.
Brands need to know how AI models see them. Altriix turns that question into a live signal — optimisation that runs continuously, not a one-off audit.
The pillars
Four questions, one platform.
/01
How visible is the brand?
A live measure of how often the brand appears inside generative answers, against the prompts that matter for revenue, across every model that customers actually use.
/02
What is being said?
Sentiment, framing and positioning extracted prompt by prompt, with the sources the models pulled from, so marketing teams see exactly which signals shaped the answer.
/03
Where are the gaps?
Topics where competitors are quoted and the brand is not, mapped to content and PR opportunities. The gap report becomes the editorial roadmap.
Scope of work