AI SEO and technical SEO for UK Shopify brands. Schema, llms.txt, AI-search optimisation, AI-assisted content. Engineering-led — we don't do link building, content marketing, or paid media.
BRAND MARKS © THEIR RESPECTIVE OWNERS · SCOPE COVERS TECHNICAL SEO + AI VISIBILITY · NO PAID ADS, NO LINK BUILDING, NO SOCIAL MANAGEMENT.
Google clicks per query are declining as AI Overviews and AI search results pull answers above the blue links. The fix is not 'more SEO content' — it is structured data that AI systems can extract and cite confidently.
Ask ChatGPT, Perplexity, or Gemini "best UK [your category] brands" and see if your store appears. If not, you are losing demand to competitors with better-structured product, brand, and FAQ data. We fix the structure first.
Most Shopify themes ship with basic Product and Organization schema and stop there. AI systems and Google rich results need much more: Offer, AggregateRating, Review, FAQPage, BreadcrumbList, Article, HowTo, ItemList — applied correctly per template.
AI-assisted content (Shopify Magic, custom OpenAI / Anthropic / Gemini integrations) can generate brand-aligned PDP copy, blog posts, FAQ sets, and category pages — at a fraction of the cost of agency content. We build the pipeline, you keep editorial control.
Google still uses LCP / INP / CLS as ranking signals. Mobile Core Web Vitals are the SEO factor most stores fail without realising. Engineering fixes (image optimisation, deferred scripts, edge caching) move the needle within weeks.
llms.txt is the emerging standard for telling LLMs what your site is about and what content matters. We write yours from your actual site, not a template — and pair it with structured-data improvements that make AI summaries accurate.
Technical SEO audit (60+ checkpoints), schema coverage map, Core Web Vitals snapshot, AI-search visibility baseline across ChatGPT, Perplexity, and Gemini for your top 20 commercial queries.
Schema model designed per template type (Home, Collection, PDP, Blog, FAQ, Article). llms.txt drafted from real site content. AI content generation pipeline scoped against your brand voice.
Schema.org JSON-LD rolled across all template types. llms.txt deployed at root. AI content pipeline live (Shopify Magic configured, custom LLM integrations where needed). Core Web Vitals remediation shipped behind feature flags.
Pre/post Search Console diff. Pre/post AI-citation tracking (ChatGPT, Perplexity, Gemini). Monthly ranking and visibility report. Quarterly review on what new schema types your roadmap unlocks.
PDF + Notion. 60+ checkpoints. Prioritised by revenue impact.
JSON-LD across all template types — validated in Google Rich Results Test.
llms.txt deployed at /llms.txt. Meta tags optimised for LLM extraction.
Shopify Magic configured for brand voice + custom LLM integrations where catalogue size warrants it.
Documented LCP / INP / CLS deltas. Mobile p75 targets met.
Google rankings + AI-citation tracking on retainer. Cumulative trend.
One-off audit. Technical SEO, schema, Core Web Vitals, AI-search visibility baseline. Prioritised fix list.
Audit + ship. Schema rolled across templates, llms.txt deployed, AI-content pipeline live, CWV remediation.
Continuous improvement. Schema for new content types, AI visibility tracking, monthly ranking + AI-citation report.
AI SEO is the practice of optimising a Shopify store for visibility inside AI-powered search systems — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude. The mechanics overlap with traditional SEO (clean structure, schema, fast pages) but the priorities shift: structured data is more important than backlinks, llms.txt matters, and content needs to be extractable in semantic chunks rather than keyword-stuffed.
Traditional SEO optimises for Google's ranking algorithm (links, content depth, click-through). AI SEO optimises for LLM extraction and citation — schema completeness, semantic structure, llms.txt, and content that answers questions in a way an LLM can quote. The two overlap heavily but the engineering work shifts: less link building, more structured data and content engineering.
It depends on your existing visibility, schema coverage, and how often LLMs see your content cited elsewhere. We baseline current AI-citation rates for your top commercial queries during the audit, then optimise structure to improve them. Typical 90-day improvement on stores starting near zero: 4–12x increase in AI mentions for category-level queries.
No — those are not engineering-led work and we keep our scope honest. We focus on technical SEO, schema, llms.txt, AI-search optimisation, AI-assisted content engineering, and Core Web Vitals. For paid media, social management, or link building we recommend specialist agencies and freelancers, and can refer.
Yes — that is part of the AI Sprint and Monthly tiers. We configure Shopify Magic for your brand voice and build custom OpenAI / Anthropic / Gemini integrations where catalogue size warrants. Output is editorially reviewed before publish; we set up the pipeline, your team stays in control of brand voice.
Partially. Shopify Magic generates product descriptions and blog content with brand-voice prompts, which is valuable. But Magic does not handle schema, llms.txt, AI-citation tracking, or technical SEO. Magic is a content-generation tool; AI SEO is the engineering layer that makes content actually rank and get cited.
No. AI SEO works on every Shopify plan — Basic, Shopify, Advanced, Plus. Plus stores typically have more template types and bigger catalogues so the schema rollout takes longer, but the engineering approach is the same.
Audit findings are immediate. Schema and llms.txt deployment take 2–4 weeks to ship. Google ranking changes show in 4–12 weeks (Google takes time to recrawl and re-evaluate). AI-citation improvements show faster — typically 30–60 days — because LLMs sample sites more frequently than Google reindexes them.
Google Search Console rankings, organic clicks and impressions, schema validation rate, Core Web Vitals (LCP / INP / CLS at p75 mobile), AI-citation rate across ChatGPT / Perplexity / Gemini for your top 20 commercial queries, and AI-content publish velocity. Reported monthly on retainer; baselined at start.
Yes — that is the AI SEO Sprint. Technical SEO audit covers redirects, canonical tags, hreflang, sitemap, meta descriptions, internal linking, image alt text, structured data validation, mobile usability, indexability, and crawl budget. Fixes are bundled with the AI SEO work rather than quoted separately.
Send your store URL — we'll come back with three things to fix on technical SEO, three things to fix on AI visibility, and a fixed audit quote inside 48 hours.