Straight answers, before you ask.

With a diagnosis. We review your current funnel, channels, site and measurement before recommending anything. That first step exists to identify the constraint, not to sell a channel.

Both. Build work — a website, a store, an automation — is scoped as a project. Ongoing visibility, paid media and optimisation work better as a retainer because they compound over time.

WhatsApp for day-to-day conversation and a scheduled review call for decisions. Every deliverable and decision is written down so nothing depends on memory.

No, and neither can anyone else. Rankings depend on factors no agency controls. What we commit to is a documented technical, content and measurement process, with reporting that shows what changed and what it produced.

Technical and on-page fixes can show movement within weeks. Authority and content-led gains typically compound over several months. We sequence quick structural wins first so progress is visible early.

They describe optimising for answer engines, generative engines and AI-assisted discovery. In practice they reward the same fundamentals as good SEO: clear entities, answer-first structure, accurate information and technically accessible pages.

Enough to gather statistically useful data within a reasonable window. That depends on your market's cost per click and sales cycle — we size it during diagnosis rather than quoting a generic number.

Yes. They serve different jobs: Google captures existing intent, Meta creates it. We only recommend running both when the funnel can absorb it.

Yes. Design, build and instrumentation are handled as one workflow so performance and measurement are not retrofitted at the end.

Yes. Content structures are designed for the person who will actually maintain them, with documentation handed over at the end of the project.

With the highest-frequency, lowest-risk repetitive task. We audit where time goes first, then automate the steps where a mistake is cheap and easy to catch.

Only with scope and review. We keep a human in the loop wherever an error would reach a customer, and monitor output quality as part of the workflow.

Against a measurement plan agreed at the start: defined events, defined values and the specific decisions each number supports. No vanity dashboards.

Then the strategy changes. Measurement exists to make that decision faster, which is why it is set up before execution rather than after.