AI
Ablyon runs growth engineering and GEO for AI companies in the US and UK. The hard part is rarely the product, it is that buyers have no category to put you in and increasingly ask a model before they search. We build the entity clarity, technical credibility and content that gets you named, then convert the demand it creates.
The hard part of marketing an AI product is rarely the product. It is that your buyer has no category to file you under, no budget line for you, and a great deal of scepticism earned from two years of overclaiming. Increasingly it is also that your buyer asks a model before they ask a search engine, and that model has to have decided you are a credible entity in a category it can barely name.
What is different about marketing AI
Four problems specific to selling something the market cannot yet name, to buyers who now ask a model about it first.
Nobody is searching for what you built
If your category does not exist, keyword volume for it is zero and a keyword-led content plan produces nothing. We target the problem your buyer already searches for, in the words they already use, then use that traffic to introduce the category. This is also the fastest route onto the generative surface, because a model answering a problem-shaped question has to cite somebody, and it may as well be the source that defined the terms.
Models describing you wrongly, or not at all
For a young AI company the most common answer-engine failure is not a bad description, it is confusion with a similarly named company or silence. We build the entity out until it is unambiguous: consistent naming and description everywhere you control, structured data that agrees with your prose, and corroboration on the third-party sources models already trust. Then we track it, prompting the major assistants on your commercial queries and logging what came back.
Two audiences who want opposite things
The engineer evaluating you wants benchmarks, latency numbers and a repository they can read. The executive approving the spend wants a business case and a risk answer. One page written for both convinces neither. We separate the tracks and let each audience find the depth it needs, which also gives the models two distinct, citable bodies of evidence to quote from.
Claims that read as hype
The market has been saturated with AI claims and has learned to discount them. Specificity is the only antidote: a stated benchmark on a named dataset, a described failure mode, an honest limitation. We write the constraints in, because willingness to state a limit is now the fastest credibility signal available, and because unhedged superlatives are exactly what a model declines to repeat.
Questions
How do you do SEO for a category that does not exist yet?
By targeting the problem. Your buyer searches for the pain they have, in the words they already know. We rank for that, explain the category on the page, and build solution-term content as that search volume appears.
How do we get ChatGPT and other assistants to recommend us?
There is no guarantee, and any agency offering one is selling something. What works is entity clarity so the model knows exactly what you are, passages structured to answer a question completely so there is something quotable, and corroboration across sources the model already trusts. We measure it by running your commercial queries against the major assistants on a schedule and logging whether you were named, described accurately, or omitted.
Is GEO a separate service?
No, and we would rather not charge you twice for one job. Entity optimisation, semantic structuring and citation-shaped content are how technical SEO is done in 2026, so they sit inside the growth and performance pillar. What is genuinely additional is the answer-engine tracking, and that is included in the pillar.
Do you understand the technical product?
Well enough to write about it honestly and to know when we do not. We work from your documentation, your benchmarks and your engineers, and every technical claim goes back to your engineers for review before it publishes.
Do you work with crypto or Web3 AI projects?
No. We do not take crypto or Web3 work. If that is your market, another agency will serve you better than we would.