56%
of CEOs report neither increased revenue nor decreased costs from AI in the last twelve months. The problem is not the models — it is that companies bought tools instead of changing how they are found.
Source: PwC 29th Global CEO Survey, January 2026
What we do
Three pieces of work, described plainly
01
AI Visibility Audit
Where you appear in AI answers today, and why. Baseline, competitor comparison, prioritised roadmap.
02
Answer Engine Optimisation
Ongoing work to make your brand the cited source across AI assistants and answer engines.
03
ChatGPT Ads Management
Planning, buying and optimising paid placement inside ChatGPT — a channel with no benchmarks yet.
Our view
Old rules, new surface
An assistant answering a question about your category is doing what a search engine has always done: identifying which sources are credible, which are relevant, and which can be summarised without embarrassment. The output format changed. The underlying judgement did not.
Read the full piece →Insights
What we are writing
We publish when we have data rather than opinion. These pieces are in draft.
- Answer engines12 min read
What actually determines whether an AI assistant cites your brand
The observable signals behind citation selection, and which of them you can influence.
Read the piece→ - Paid placement9 min read
ChatGPT Ads: what we learned in the first £10,000
An honest account of spend, placement behaviour and measurement in a channel with no benchmarks.
Read the piece→
Tell us what you are trying to solve
No pitch deck, no sales sequence. We will tell you honestly whether we can help — and if the answer is that you should wait six months, we will say that too.
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