The AI optimisation agency enterprise technology trusts.
Generative search changed how buyers find answers. They ask AI, not Google. We make sure your brand is the one those models recommend — through content architecture, entity authority, and LLM citation strategy.
Generative search optimisation isn't optional anymore. It's where enterprise buyers are.
Traditional SEO
GSO — Evolv's approach
The Four-Layer Visibility Stack
Layer 01
Model
Build entity presence and authority that LLMs recognise and associate with your category.
Layer 02
Retrieval
Structure content so AI systems select and surface it at query time, not just index it.
Layer 03
Distribution
Amplify citations across the high-trust sources LLMs draw from most heavily.
Layer 04
Browser
Convert AI-referred traffic through landing experiences built for that new buyer journey.
Built for the new search landscape
Traditional SEO gets you ranked. Generative search optimisation gets you recommended. As an AI optimisation agency working exclusively with enterprise technology brands, we combine both — so you perform in Google and get cited in ChatGPT, Gemini, and Perplexity.
LLM Audits
Benchmark your citation share across major AI models. Identify which topics you own, which you're losing, and where the fastest visibility gains are.
LLM Content Optimisation
Restructure your content architecture and entity signals so generative search models select your brand as the authoritative answer.
Search + AI Strategy
A unified strategy across traditional SEO and generative search, tracking organic rankings and LLM citation share under one intelligence layer.
Technical SEO Consultancy
Technical SEO foundations that support both traditional rankings and LLM retrieval — from site architecture and Core Web Vitals to structured data and hreflang.
Keyword & Topic Research
In-depth opportunity mapping across organic and generative search, identifying the topics your buyers are asking AI — before your competitors do.
Bespoke Content Creation
Content built for entity authority and model retrieval, not just keyword density — researched, structured, and distributed to the sources AI models trust.
What generative search optimisation looks like in practice
SUSE — Enterprise Linux & Open Source
From technically credible to AI-visible in one engagement
SUSE had the product. It didn't have the visibility. Four structural content problems were holding back LLM citation share — we fixed them.
More content won't fix a visibility problem. A better intelligence layer does.
Most enterprise brands are already producing enough content. What they're missing is the architecture that makes AI models recommend it. That's what we build.