The AI search agency for ecommerce brands

AI Search for Ecommerce

Getting Shopify Plus brands named in ChatGPT, Perplexity and Google AI Overviews. Structured product data, entity clarity and content models that make a store legible to AI.
Check your AI visibility

14+

Years in ecommerce

150+

Shopify stores built

$1B+

in revenue driven for clients
Man in suit sites on chair with red background

Search didn't die. It multiplied.

Search didn't die. It multiplied. Your buyers still Google, but they also ask ChatGPT for the best option, check Perplexity for comparisons, and let Gemini summarise the category. Each of those answers names two or three brands. If yours isn't one of them, you were never in the running.

Being visible in AI search isn't a trick. AI engines run their own searches behind every answer, read your structured data, and quote definitional sentences from your pages. Brands that are easy to read get recommended. Brands that aren't get skipped, however good the product is.

The starting point is knowing where you stand. Our AI Visibility Assessment shows exactly which prompts you appear in, who gets recommended instead, and what to fix first.

What AI search work covers

Visibility measurement

Prompt-level tracking across the engines your buyers use. Where you show up, where you don't, who gets named instead, and what the engines say about you. Start with the AI Visibility Assessment.

AEO and SEO together

One organic engine, two surfaces. Rankings still drive traffic; citations drive recommendations. We run AEO and SEO as one programme so the work compounds instead of competing.

Content architecture

AI engines quote definitional sentences and extractable answers. We structure your content so both a skimming human and a citing model get what they need from the same page.

Product data

Category answers cite brands. Product answers cite products. Agent-ready product data gets your actual catalog into AI answers, not just your homepage.

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Shopify or Die

Insights into the current and future state of Shopify Plus commerce. Headless architecture, agentic commerce, integration strategy, and the engineering decisions behind stores that scale.

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Built into the store, not bolted on

This isn't a marketing add-on. It's engineering. Schema rendered on every template, content modelled properly at the source, and site architecture that machines can traverse. When the platform itself can't support that, the honest answer is a rebuild, and we'll tell you before you spend on optimisation that can't stick.

Once the foundations are in, visibility work runs monthly through the retainer: measure, fix, publish, remeasure. Selling to businesses rather than consumers? The research behaviour is different enough that we treat it separately: AI Search for B2B.

What the work actually involves

Every engagement starts the same way, by measuring where you stand. We run the prompts your buyers actually use across ChatGPT, Perplexity, Gemini and Google AI Overviews, and record which brands get named, in what order, and what each engine says about you. That becomes the baseline, and it is usually the uncomfortable part.

From there the work splits into three.

Structure

Product and content data modelled so an engine can parse it without guessing. Machine-readable pricing and availability, attributes as fields rather than prose, schema that describes what the page actually is. Most stores fail here quietly, and it is the cheapest thing to fix.

Entity clarity

Making sure engines know what your brand is, what it sells and who it serves, consistently, everywhere they look. That means the same claims on your site, in your structured data and on the third-party sources engines check. Contradictions between those are the most common reason a model describes a brand wrongly or leaves it out.

Citable content

Engines cite pages that answer a question outright. That is a different job to ranking, and it usually means writing the definitional piece nobody in your category has bothered to write, then keeping it current enough to stay the reference.

Then we measure again. AI visibility moves slower than rankings and it moves unevenly across engines, so we track it monthly rather than weekly, and we report what each engine actually said rather than a score in isolation.

None of it guarantees a citation. Engines change, competitors publish, and there is no submission form. What the work does is remove the reasons an engine has to skip you, and give it something worth quoting when it does not.

Frequently Asked Questions

What is AI search optimisation?

Making your brand visible and accurately described in AI-generated answers on ChatGPT, Perplexity, Gemini and Google's AI results. It combines structured data, content architecture, entity clarity and ongoing measurement.

How is it different from SEO?

SEO earns you a ranking a person clicks. AI search earns you a mention inside an answer nobody clicks away from. The foundations overlap, which is why we run AEO and SEO together, but the win condition is different: being cited, not just ranked.

How do you measure AI visibility?

Tracked prompt batteries across the major AI engines. We measure how often you're mentioned, in what position, with what sentiment, and which sub-queries the engines run when answering. That's the AI Visibility Assessment.

How long until results show?

Some fixes register within weeks of being recrawled. Moving your share of voice against established competitors takes months of consistent work. Anyone promising faster is guessing. We measure monthly so you can see the line move.

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