Real World Results
Real AI Visibility growth starting from ZERO.
AI visibility is not measured in traffic reports or ranking tables. It is measured in whether your firm is named when a buyer asks AI who to trust. We can show you both: what the numbers look like from a real engagement, and what AI says about your category right now.
The live teardown.
The quickest way to understand what AI visibility work produces is to run the test yourself, on your own category, right now. Open any AI platform and ask who the leading firms are in your field. Read the answer carefully.
Whatever comes back is either the result of the work, or the gap it is designed to close. We show you both sides: where you stand today and what it takes to change the answer.
What the AI Citation Engine delivered for a B2B firm whose buyers moved to AI search.
A B2B software company had built a reliable inbound pipeline through search over several years. When buyers shifted their research to AI platforms, that pipeline collapsed — organic traffic fell more than 80% from its peak. The firm was ranking well on Google but scoring zero on the buyer questions their prospects were now asking ChatGPT and Copilot. We ran the AI Citation Engine across all six levers and rebuilt their visibility from the ground up.
| What we tracked | Before | After |
|---|---|---|
| Citations on core buyer questions | Zero — not mentioned on any tracked prompt | Category-leading share of voice on the primary AI platform used by their buyers |
| Position when named | Not applicable — absent from all answers | First-named or shortlisted on the buyer questions that matter most |
| Competitor recommendation gap | Competitors named exclusively on all category prompts | Gap closed — firm now cited ahead of or alongside named competitors |
| AI-sourced demand channel | No AI-sourced enquiries — channel did not exist | Established and measurable, tracked via attribution and discovery-call questions |
80%+ Organic traffic lost to AI search — the problem the work was built to solve | 0 AI citations on core buyer questions at the start of the engagement | 40%+ Share of voice on the primary AI platform after the Citation Engine ran | #1 Position on the most commercially important buyer questions in the category |
The method used here is the same AI Citation Engine we now run for specialist B2B services firms. The six levers are identical. The source map and expert-authority work differs by category.
We are building named client references. Here is what that means.
The AI Citation Engine was built inside a live business and proven there before we offered it to anyone. We are now applying it to specialist services firms. Named case studies from this category are in progress.
If you need five published references before you engage, we may not be the right fit right now. We will tell you that clearly rather than obscure it.
If you want to work with a specialist who will treat your citation share the way we treated our own — with the same obsession that rebuilt a pipeline from zero — this is the engagement to take.
WHERE to START
Start with the AI Visibility Audit to see where you stand.
The Audit maps the buyer questions where AI names competitors and not you, and tells you what it would take to change the answer. Monitoring tracks the score monthly from the baseline it sets, and fixes ship as quoted projects. Most firms start with the Audit.