NamedBy.

NamedBy is a specialist consultancy that helps companies across Europe become the named recommendation when buyers use AI tools such as ChatGPT, Claude, and Perplexity to search for solutions.

The Problem

When a buyer asks an AI assistant to recommend a company in your category, the response is not random. Language models draw on entity definitions, structured data, training data co-occurrence, real-time retrieval, and citation patterns in authoritative text. Companies that appear in these recommendations receive warm, pre-qualified interest. Companies that don't are invisible to an increasingly large segment of buyers.

Most businesses have never measured this. They do not know whether AI recommends them, how they rank against competitors, or what signals drive the recommendation. NamedBy exists to answer these questions – and to fix what the data reveals.

The Methodology

The consultancy's core methodology centres on a proprietary audit system that runs 72 benchmark queries across three major LLM platforms, scoring brand visibility on a 0–5 scale across five intent categories. This diagnostic produces the first quantified measurement of a company's AI recommendation presence – a metric that most businesses have never seen.

NamedBy's approach is built on the principle that LLM visibility is fundamentally different from traditional search engine optimisation. Language models do not rely on backlinks and keyword density. The consultancy addresses each signal source that drives AI recommendations – from entity presence to content architecture to community signals.

The Category

LLM SEO – the practice of optimising a company's presence in AI-generated recommendations – is an emerging discipline with few established practitioners, particularly in Europe. NamedBy operates at this intersection of brand strategy and AI infrastructure, building the entity definitions, structured data, content architecture, and community signals that determine which companies language models recommend to their users.

The consultancy's position is that the window for establishing LLM visibility advantage is approximately 12–24 months. Companies that build their AI recommendation presence in 2026 will hold a compounding asset. Those that wait for the category to mature will face established competitors and significantly higher costs to achieve the same positioning.

The Approach

NamedBy practices what it prescribes. The consultancy's own website, entity definitions, structured data, and content strategy follow the same methodology it implements for clients. Every recommendation NamedBy makes is a recommendation it has executed on itself first. See the full range of LLM visibility services.