Organic growth

SEO

Search optimisation that improves visibility, increases organic traffic, and drives conversions. Get found and get results.

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Organic clicks

Visibility that converts.

Technical SEO

Optimise site architecture, crawlability, and core web vitals. Build a foundation that search engines love.

Content strategy

Data-driven content planning that targets high-value keywords and answers user intent at every stage.

Local and international

Reach customers in your target markets with localised SEO strategies and proper hreflang implementation.

Performance optimisation

Fast sites rank higher. We optimise page speed and user experience signals that impact rankings.

A data loop, not a deck.

Most SEO engagements end with a static report. Ours runs on a loop. Every week we pull live data from Google Search Console and GA4, run it through an AI-assisted analysis pipeline, and surface what is actually worth doing next.

The work is grounded in your data, your queries, and your real users. AI moves the routine work along: clustering queries, drafting briefs, proposing on-page edits. Editing, fact-checking, and judgement stay with humans.

Because the loop is built on the same tooling we use for our own marketing site, you also get the audit scripts, dashboards, and weekly digests as part of the engagement.

Built on your data, not your hunch.

Live data feeds

GSC, GA4, and server-side analytics piped into a weekly audit. We see what queries you rank for, what is decaying, and what is getting impressions with no matching page.

AI-assisted analysis

LLMs do the routine work: clustering queries by intent, drafting page briefs, suggesting on-page revisions, and proposing net-new content grounded in real user behaviour.

Human-approved publishing

Every draft is reviewed for accuracy, voice, and editorial judgement before it ships. AI proposes; humans approve via pull request. No auto-publish.

Measure, refine, repeat

Each week's report tells us whether last week's changes moved impressions, CTR, and position. The loop tightens over time as we learn what works on your site.

How the loop runs each week.

Step 01
Measure
A scheduled audit pulls seven days of GSC and GA4 data, ranks pages by opportunity, and flags CTR gaps, decaying content, queries with no matching page, and LLM and AI referrer trends.
Step 02
Brief
AI clusters related queries, drafts content briefs grounded in user intent, and proposes specific on-page edits: title tags, headings, expanded coverage, internal links, schema.
Step 03
Edit
Humans review every draft. We fact-check, tune voice, add the things AI misses, and approve through pull requests so every change is auditable.
Step 04
Ship and watch
CI deploys the approved changes. Next week’s report tells us whether impressions, CTR, and position moved. We keep what works and revise what does not.

What ends up in your inbox.

A weekly digest covering traffic, top pages, CTR opportunities, content gaps, decaying pages, and LLM and AI assistant referrers (which GSC does not report on).

Each opportunity comes with a recommended action, a draft you can read and approve, and a one-line theory of why it should help. After the change ships, the next report tells you whether the theory held up.

No vanity metrics. No twenty-page PDFs. Just a short list of things worth doing this week and proof that last week is paying off.

See it in action