Six engagements, four disciplines, one pattern — make the business legible to machines, then let the machines do the recommending. Every brief below is real work. Only the names are missing.
Ranking on page two for every term that actually converts, while three national aggregators owned the top of the results. Intake volume was flat and paid search was carrying the practice.
organic traffic in 9 months
for 38 commercial queries
cost per qualified lead
A heavy theme-based storefront that took four seconds to show a product image. Traffic was healthy; the cart was not. Every performance fix on the old stack bought back a hundred milliseconds and broke two templates.
sitewide conversion rate
mobile LCP, down from 4.3s
revenue per session
Buyers had stopped starting at Google. They asked an assistant which analytics tool fit their stack, and the answer named three competitors. The category conversation was happening without them in it.
answer engines now citing them by name
to first AI citation
demo requests from AI referrals
Eleven clinics, eleven inconsistent listings, and one website that treated location pages as an afterthought. Patients searching two neighbourhoods over were handed a competitor.
map pack impressions across 11 clinics
booked appointments from organic
locations ranking top 3 locally
A brand built entirely on referral, invisible the moment a buyer researched a neighbourhood on their own. No content layer, no structured data, no reason for a search engine to treat them as an authority.
organic sessions in 12 months
featured snippets held
Category pages competed with their own filters, thin variant URLs diluted every signal, and non-brand demand was being bought back through ads month after month.
non-brand organic revenue
additional impressions per month
paid spend at equal total revenue
Representative engagements. Metrics are typical of the pattern, shared with client identities withheld.
Different industries, same three levers. After enough engagements the variables stop looking like variables.
Almost every site we audit already has structured data. Almost none of it describes the business — it describes the page. The engagements that move fastest are the ones where schema stops being a checkbox and starts modelling services, locations, people and proof as connected things.
A machine has to decide what you are before it can decide whether to recommend you. Brands that say the same thing about themselves everywhere — site, profiles, press, structured data — get resolved cleanly and start showing up in answers they never targeted.
One-off content gets indexed. Consistent, sourced, answer-shaped content gets quoted. The pages that earn citations are the ones that answer a real question in the first two sentences and back it with something checkable — which is the whole premise of our AEO work.
None of this is a single deliverable. It’s the full stack — build, rank, get cited, be the answer — run in the order a specific business needs it.
Tell us the industry and the city. We’ll show you who the engines name today — and what it takes to be named instead.