Patterns we see
The same patterns show up on every Shopify store we audit.
Patterns we keep finding across the Shopify stores we audit. The gap, the fix, and the outcome.
01 / AI search visibility
Getting found by ChatGPT and the rest.
Most Shopify brands are invisible to AI search. These are the patterns we see most often, and the fixes that shift them.
Skincare · £1 to £2M GMV
Shortlisted in 2 cyclesFrom invisible to shortlisted
Named zero times in ChatGPT for their flagship query before the audit. After a schema rollout and structured Q&A blocks on the top products, they started appearing in the shortlist for the same query across ChatGPT and Perplexity within two audit cycles.
Menswear · £2M GMV
AI-visible in 6 weeksThe silent blocker
Strong SEO, strong social, completely invisible to AI. Their robots.txt was blocking GPTBot without anyone realising. Once unblocked and product schema corrected, the brand started surfacing in AI recommendations for its core category inside six weeks.
Artisan food · £750K GMV
Listed on 2 of 4 AI platformsMentions beat authority
A competitor named three times by ChatGPT had nothing special on links or domain authority. The difference was plain-language FAQ content and clean Product schema. We replicated the structure. The client is now co-listed on two of the four major AI platforms.
Homeware · £1.5M GMV
AI traffic in 14 daysAI could not read the catalogue
Clean product descriptions on-page, but structured data missing on roughly 90% of product URLs. After the 14-day setup, two AI platforms began surfacing the brand, and Perplexity picked up citations the client had never had.
The pattern is structural. Most brands don’t lack content. They lack the structural signals AI search engines need to read it.
“Within weeks of fixing what the audit found, AI started recommending us in shopper queries we had no chance of winning before.”
Menswear brand · £2M GMV
02 / Content and brand consistency
One brand voice, every channel.
When content runs across separate vendors and agencies, the brand drifts and loses cohesion.
These are the fixes that consolidate output without losing brand voice.
Heritage menswear · £5M+ GMV
Two streams, zero overlapTwo email streams, one brand voice
Brand runs both direct-to-consumer and wholesale on the same Shopify store. We split email into two fully separate streams (DTC subscriber list and independent retail partners) with dedicated tone, offers, and calendars. No DTC content ever leaks into retail communications.
Apparel · £2M GMV
One voice, every channelFour agencies, four voices
Instagram looked different from the website, which looked different from the emails, which looked different from the ads. Consolidated content operation built on one brand knowledge base. Every asset now ships in the same voice, approved by the client before publishing.
Skincare · £1M GMV
Weekly cadence, no missesFrom sporadic to weekly blog
Blog published when a founder had time, which meant it did not publish. Moved to a guaranteed weekly cadence with SEO + GEO optimisation, internal linking, and full schema. Blog traffic is now a meaningful share of organic acquisition.
Homeware · £3M GMV
10× output, fraction of costAI product imagery, on-brand
Product shoots cost thousands and scheduled quarterly. Replaced with on-brand AI lifestyle imagery generated weekly, multi-aspect ratio for every platform, every image approved before publishing. Cost per image falls by an order of magnitude; quantity goes up 10×.
“Cost per image dropped by an order of magnitude. The team finally has time to plan campaigns instead of chasing photographers.”
Homeware brand · £3M GMV
03 / Operations and intelligence
Patterns that only surface when every layer talks.
Most tools see one slice of a business. These patterns only surface when one system can read every layer at once.
Menswear · £2M GMV
Real-time, not monthlyTwice-daily ad intelligence
Automated Google and Meta account review running twice a day. Catches creative fatigue, negative-keyword gaps, quality-score drops and budget waste. Urgent findings pushed to the client in real time. Replaces the “monthly ads report” that nobody reads.
Supplements · £1M GMV
Margin held during salesCompetitor-aware pricing
Daily competitor price scraping across ten named rivals. Margin-aware recommendations only — never blind undercutting. Promotion timing coordinated with campaign calendar. The win tends to be margin held on hero SKUs during competitor discounts.
Heritage brand · £5M+ GMV
Plain English, weeklyWeekly narrative reports
Manual spreadsheet tracking retired. Replaced with weekly automated reports covering traffic, revenue, email, content and search. Pulled from first-party sources. Written in plain English, not another chart to ignore.
Apparel · £2M GMV
Named, not genericNamed competitor intelligence
Monthly report on named competitors, not generic category trends. Pricing moves, launches, creative angles, positioning shifts, ad spend swings. Feeds directly into the next month’s content and pricing plan.
The pattern is connection. The wins surface when one system reads every layer at once, not when a dozen tools each report a slice.
Private references on request.
We do not publish named case studies on the site. Our clients prefer it that way, and it lets us be specific on a private call about what actually moved for brands in your category. Book a free 25-minute call and we will walk you through the most relevant named example.
See the same patterns in your store, then fix them.
Start with the free AI Search Audit. You’ll see the gaps in your store, then we’ll talk through how AI can power your business.