Being the source the answer comes from
A growing share of the people evaluating you will never see your website. They will ask an assistant, read the answer, and form a view from whatever it cited. Being the source of that answer is a different job from ranking first, and it is increasingly the one that decides whether you make the shortlist at all.
What results has AI search visibility produced?
Citation audit
What the major assistants currently say about you, your category and your competitors: where you are cited, where you are absent, and where you are described wrongly. This is the baseline, and it is usually uncomfortable reading.
Content architecture
Restructuring what you already have so it can be quoted: claims stated plainly, questions answered directly, specifics rather than hedges, and a structure a model can lift from cleanly without losing the meaning.
Machine-readable foundations
Structured data, llms.txt, clean semantic markup, and the technical work that makes a site legible to something that is not a browser. Overlaps with technical SEO and is not the same job.
Monitoring
A repeatable way to check what assistants say about you over time, so this is a thing you manage rather than a project you did once.
A fixed fee of £4,000 covers one product in one market, over three to four weeks. A second product, another region or interviews with your customers are quoted before we start.
What you get
How the work runs
Week 1–2
Baseline
Establish what assistants currently say about you and your category, which sources they draw on, and where the gaps and inaccuracies are. Without this you cannot tell whether anything you do afterwards worked.
Week 2–4
Foundations
The technical layer: structured data, llms.txt, semantic markup, and fixing anything that makes the site hard to parse. Fastest to implement and the prerequisite for everything else.
Month 2–3
Restructure
Rework the content that matters most so it answers questions directly and can be quoted without distortion. Usually a rewrite of a small number of high-value pages rather than a large volume of new ones.
Ongoing
Monitor
Re-run the citation checks, watch what changes, and adjust. This field is moving quickly and anyone claiming a settled playbook is guessing.
After the handover your team runs the plan, or I run it with them. Full pricing
Companies in categories where buyers research before they ever speak to anyone.
- Considered-purchase B2B
- Long evaluations that start with a question to an assistant rather than a search box.
- Technical products
- Where the explanation is complicated enough that people ask for it to be summarised, and the summary needs to be yours.
- Regulated categories
- Where being described inaccurately by an assistant is a compliance exposure as well as a marketing one.
- Teams watching clicks fall
- Impressions holding up, clicks declining. That is usually the answer layer at work rather than a ranking loss.
- Companies with strong content
- You have already done the work; it is just structured in a way that is hard to cite.
- New entrants
- No brand recognition yet, so what an assistant says about your category is doing your positioning for you.
Who will I work with?
You work directly with me throughout the engagement.
I lead marketing at a regulated digital-asset firm, and led it at Improbable before that. At eBay’s KnownOrigin I led the digital marketing strategy. Agency-side, I ran digital strategy for clients in finance, travel and energy, among them Liontrust Asset Management and Aldermore.
Questions before an engagement
Something not covered here? Ask me directly.
Is this just SEO with a new name?
It overlaps and it is not the same. Technical hygiene and genuinely useful content help both. But ranking optimises for a click, and this optimises for being the source of an answer that may never produce one. That changes how you structure a page, what you state explicitly, and what you measure.
How do you measure it?
Citation frequency and accuracy across the major assistants for a defined set of prompts, tracked over time, plus referral traffic from assistants where it is identifiable. It is less precise than rank tracking and I would rather say that than pretend otherwise.
Does this actually drive revenue?
It drives consideration, which is upstream of revenue and harder to attribute. If your buyers research before they contact you (and in B2B and technical categories they do), then what an assistant says about you is shaping the shortlist before you know the evaluation started.
Can you guarantee we get cited?
No, and nobody can. There is no submission process and no ranking factor to buy. What you can do is make yourself the most quotable, best-structured, most current source in your category, which is what actually moves it.
What is llms.txt and do we need one?
A plain-text file describing your site for AI systems, in the way robots.txt describes it for crawlers. Support is still uneven and it is not a magic switch. It is cheap and does no harm, and it forces you to articulate what you do plainly, which is worth doing regardless. There is one on this site.
How long before anything changes?
Technical foundations can register within weeks. Content restructuring takes a cycle or two of the models refreshing their sources, so realistically two to three months before you see meaningful movement in citations.
How much does it cost?
The audit and baseline are a fixed-fee project. Ongoing work is a monthly retainer, usually alongside SEO or content rather than instead of them.