Ranking in Google and being quoted by AI are the same job, done two ways.
One programme covering both: the technical work that makes a site legible to crawlers, the content architecture that earns the ranking, and the structure that gets you cited inside AI answers where there is no list of ten links to be third in. Targets stated before the work starts, results reported either way.
For founders, marketing leads and engineering teams across the USA, UK and Europe.
Four layers, run as one.
Technical SEO
Crawlability, indexation, Core Web Vitals, rendering. The unglamorous layer that decides whether anything else you do can even be seen — and the layer most agencies recommend rather than fix.
Content architecture
Topic clusters built from what people actually search, not what a tool suggested: a pillar that owns the broad term and spokes that own the specific ones, linked so authority moves between them.
AI search visibility
Being cited inside AI Overviews, ChatGPT and Perplexity. Self-contained answers a model can quote, verified crawler access, and structure that survives having the page stripped to text.
Measurement you can argue with
Search Console, analytics and rank tracking wired up properly, reported against targets set in advance — so the question is whether it worked, not which chart looks best this month.
Audit, ship, then prove it.
Audit
What is broken, what is missing, and what is already working and should be left alone. You keep the audit whether or not you continue — it is useful on its own.
Fix and build
We ship the changes rather than filing them. Technical fixes first because they unblock everything else, then the content that has somewhere to land.
Measure against a stated target
A named query, a named position, a named date, written down before the work starts. When the date arrives we report what happened, including when the answer is that it did not work.
Built for people who want the truth on the report.
- →Founders who need demand that does not stop the moment the ad budget does
- →Marketing leads tired of reports that celebrate impressions while leads stay flat
- →Teams whose content is genuinely good and genuinely invisible
- →CTOs who want SEO advice that survives contact with a real codebase
Engineers, not just advisors.
SEO problems are frequently engineering problems: answers rendered only in JavaScript, schema that contradicts the page, a template that buries the one thing worth quoting. We build software for a living, so the fix and the finding come from the same team instead of being thrown over a wall.
The method is the proof.
targets set before the work, not chosen afterwards
A named query, position and datemisses named as plainly as the wins
No moving the goalpostsRelated field notes and proof.
Custom software development
The engineering behind the fixes — when SEO problems turn out to be architecture problems, which is often.
How much does an AI chatbot cost?
An example of the content approach: published numbers, structured to be quoted, updated when they change.
Growth & marketing automation
What happens to the demand once SEO delivers it — qualification, routing and CRM handoff.
