AI that earns its place in your store.

It is the work of making your store the source an AI assistant cites when someone asks it a buying question. It matters because the behaviour has already shifted: Google shows AI Overviews on a large share of searches, and assistants like ChatGPT and Perplexity now answer a meaningful slice of research queries directly. Adobe agreed to buy Semrush for $1.9 billion in November 2025 explicitly to combine traditional SEO with generative engine optimisation — which is a fair indication the discipline is not hype.

Normal SEO competes for a click. AI search competes to be inside the answer. Much of the groundwork overlaps — clean structure, real specifications, fast pages, accurate schema — but the emphasis differs: answer the question early and plainly, and make sure the same facts about you appear consistently everywhere an assistant might check.

No, and we would be sceptical of anyone who says they do. We use AI where it genuinely helps — scaffolding, first drafts, migration mapping, repetitive data work — which shortens delivery. Architecture, design judgement, integration and quality control stay with our team, because that is where projects actually succeed or fail.

Raw, unedited output can. Google's guidance targets low-value content produced at scale, regardless of how it was made. We use generation to get to a first draft for large catalogues, then edit for accuracy, brand voice and genuine specifics. The test we apply is simple: would this page be useful if a person had written it?

Yes, but quality varies more in Thai than in English, so it needs checking rather than assuming. We ground the assistant in your real catalogue and policies, test output with Thai speakers, and set it to hand over to a human when confidence is low instead of guessing.

That is the main risk, and it is a design problem rather than an unavoidable one. We ground answers in your live product data and policies rather than the model's general knowledge, constrain what it is allowed to assert, and route anything uncertain to your team.

It depends what you need. An AI visibility audit is a small, contained piece of work. An assistant grounded in your catalogue, or content generation across thousands of SKUs, is a project in its own right. We scope it as a phase you can approve on its own rather than a vague AI line item.