Every engagement runs the same loop.

01

Baseline

What happens: Before any recommendation gets written, we establish exactly where things stand — a crawl of your site, an export from Search Console, a defined set of priority AI queries, or a hreflang map, depending on the service.

What's delivered: A dated baseline record that every later report is measured against.

02

Hypothesis

What happens: We identify the specific, named cause of the problem — a render-blocking script, a missing reciprocal hreflang tag, a content cluster splitting its own rankings — stated plainly enough to be proven wrong.

What's delivered: A written hypothesis inside the report, not a vague "areas for improvement" list.

03

Implement

What happens: On one-off audits, you get a prioritized, engineering-ready fix list. On Program-tier engagements, we implement the recommendations directly where the package includes it.

What's delivered: The fix list, or the implemented change, per the package.

04

Measure

What happens: We re-run the exact measurement used at baseline — the same crawl parameters, the same query set, the same Vitals metric — so before-and-after is a real comparison.

What's delivered: A stated before/after figure, not a general impression of improvement.

05

Report

What happens: Findings are written up in a fixed report format — what changed, what didn’t, and what we’d do next.

What's delivered: One written report at completion for one-off audits; a report every month, on a fixed date, for Program-tier engagements.