Executive summary
UK candles brand is a home brand operating on Shopify in the UK. They engaged BeingEcom to solve a specific problem - losing traffic to google ai overviews with no presence inside them - and to build an operating model that would keep compounding after the engagement ended. Across 5 months, we shipped a full seo programme (3 core workstreams), instrumented measurement against a trailing 60-day baseline, and delivered 22 on ai cites alongside supporting lifts in aio cites, referral, avg cited.
Where UK candles brand was stuck
Losing traffic to Google AI Overviews with no presence inside them. On a Shopify store operating in home, that pattern shows up as a plateau: paid spend rising, blended margin falling, and the operator making decisions on gut feel because no scorecard existed for seo.
The four blockers we found
- Losing traffic to Google AI Overviews with no presence inside them.
- Home competitors were compounding advantage on the exact commercial-intent queries UK candles brand was ignoring.
- No repeatable seo scorecard - decisions were made on gut feel rather than a weekly cluster-level ranking readout.
- Internal bandwidth was spent on execution inside Shopify, leaving no room for strategy, measurement or the 5 months sprint the numbers actually needed.
The 5-phase seo system we ran for UK candles brand
Every BeingEcom seo engagement follows the same five phases so accountability, measurement and handover stay clean. Below is how each phase mapped to UK candles brand's 5 months sprint.
1. Discover
Two-week diagnostic of UK candles brand's Shopify storefront, home category dynamics, and the exact pain: losing traffic to google ai overviews with no presence inside them. We shadowed the operator, pulled 60 days of baseline data and mapped every gap between the current state and the 22 outcome.
2. Diagnose
Root-cause analysis across index coverage, topical gaps, schema and internal linking. Findings were prioritised by revenue impact so the sprint budget landed on the commercial-intent topical authority that would move ai cites fastest.
3. Design
We shipped the plan as an execution brief: Restructured posts into question/answer chunks; Added definition blocks + sourced statistics; Implemented Article + HowTo schema. Every line item was tied to a hypothesis, a target metric and an owner. The brief was reviewed with UK candles brand before a single change went live.
4. Deploy
Build phase covered on-page rebuild, internal-link mesh and topical cluster publication. Ship cadence was weekly, with a Loom walkthrough every Friday so UK candles brand always knew what changed and why. Rollbacks were pre-scripted for any change that touched revenue-critical surfaces.
5. Measure
A single seo scorecard reconciled Shopify revenue, GSC clicks and clusters ranked, and email revenue side-by-side. The 22 ai cites figure is measured against the trailing 60 days pre-engagement, reported in the same units UK candles brand uses for board meetings.
Week-by-week plan across 5 months
Tools, platforms and ownership
The stack was designed so UK candles brand's internal team could keep operating it post-handover. No proprietary black boxes.
Shopify (optimised in place)
GA4 with Meta CAPI and server-side events
Klaviyo flows and segmented broadcasts
Ahrefs and Semrush for cluster mapping, SurferSEO for on-page briefs
Screaming Frog audits, Sitebulb structured-data validation, Schema.dev markup
Google Search Console for query mining and CTR optimisation
Measurement framework
Every uplift is measured against the trailing 60 days before kickoff - not the same month last year. Revenue reconciled in Shopify; spend reconciled in Meta and Google Ads; the two joined in a single weekly scorecard we shared with UK candles brand's founder on Fridays.
Methodology: figures reported from client-owned Shopify, GA4 and Klaviyo dashboards across the full 5 months engagement. Baseline is the 60-day period immediately prior to kickoff. Individual results vary by category, margin and starting position - anonymised source data available on request under NDA.
What each number actually means
22 SERP feature presence protects UK candles brand from click erosion into AI Overviews and answer boxes.
+38% on Referral - a category-specific lift that fed the headline 22 ai cites outcome.
Top 3 on Avg cited - a category-specific lift that fed the headline 22 ai cites outcome.
Headline lift: 22 on AI cites
Result after 5 months, measured against the trailing 60-day baseline pre-engagement.
A repeatable seo operating model
UK candles brand now runs the same seo scorecard weekly, ships the same execution cadence, and forecasts revenue from a system that behaves the same way whether the founder is in the office or not. The 22 ai cites number is the headline; the durable advantage is the operating model behind it.
"Google's AI answers cite tidy structure. Long-form alone stopped being enough."
Questions about the UK candles brand engagement
What ecommerce SEO framework did BeingEcom apply for UK candles brand?
We prioritised commercial-intent clusters over blog vanity traffic. The execution stack included restructured posts into question/answer chunks and added definition blocks + sourced statistics, mapped back to PDPs and collections so every ranking gain converted into revenue rather than sessions.
What was the timeline from kickoff to the 22 ai cites outcome?
The engagement ran 5 months. Discovery and diagnosis took the first 1-2 weeks, build and deploy dominated the middle, and the last third was measurement, iteration and handover. UK candles brand saw early signal inside the first 30-45 days, with compounding gains through the full window.
How was the ai cites number of 22 measured?
We used Shopify native reporting for revenue, GA4 for session and cohort behaviour, and Meta / Google Ads managers for spend attribution - reconciled monthly in a single scorecard. All uplift is measured against the trailing 60-day baseline before we started, not the same period last year, to strip out seasonality.
What was actually broken at UK candles brand before we started?
Losing traffic to Google AI Overviews with no presence inside them. The knock-on effects were unpredictable weekly numbers and marketing spend that couldn't be tied to profit - the classic pattern for home brands stuck between £30k and £150k/month.
Which tools and platforms did BeingEcom use on this project?
Core stack: Shopify for the storefront, GA4 with Meta CAPI for tracking, Klaviyo for email flows, and category-specific tooling for SEO - Ahrefs and Semrush for keyword mapping, Screaming Frog for technical audits, Google Search Console for query intelligence and Schema.dev for structured data. Everything was configured so the UK candles brand team could keep operating it post-engagement.
Can a similar home brand expect the same 22 lift?
Uplift depends on starting baseline, margin and category maturity. UK candles brand started from a specific pain point (Losing traffic to Google AI Overviews with no presence inside them), so the delta looks large. A brand already running a clean seo programme would expect smaller absolute gains but the same directional wins. We share honest range estimates during the audit.
Were the wins durable after the engagement ended?
Yes. Every playbook was documented, every dashboard was owned by UK candles brand's internal team, and standard operating procedures were left in place for creative production, seo reporting and iteration. The compounding side of SEO - authority and rankings - continued after handover.
What is the biggest lesson from the UK candles brand project?
"Google's AI answers cite tidy structure. Long-form alone stopped being enough." That principle now shapes how we scope every new home engagement.
How do I get a similar plan for my home store?
Book a free ecommerce growth audit at /audit. We benchmark your funnel against the UK candles brand case and 30+ other UK Shopify and WooCommerce engagements, then send back a written 30/60/90 plan - no pitch deck, no lock-in.