The starting point

Choose one customer journey, check where it breaks and define the work needed. AI can support research and production; the business goal and the evidence for progress still need to be explicit.

Start with a business problem you can describe

A broad brief such as “we need AI marketing” leaves too much undecided. A useful brief describes what people should do and what currently gets in their way. An online store might need buyers to understand the differences between similar products. A service business might need visitors to recognise whether an offer fits their situation.

  • Too few relevant visitors: review how people discover the business and which searches or campaigns bring suitable prospects.
  • Visits without enquiries or orders: inspect the offer, product information and next step on the page.
  • Work that never gets finished: define a manageable project, its inputs and who is responsible.

These lead to different scopes. You may need a page rewrite or technical repair before a wider campaign.

Write for the customers you actually serve

For a Romanian audience, use the language your customers use to describe the purchase. Explain the product, delivery area, available payment methods and how to contact you. Publish only the terms your business can fulfil. If you also sell internationally, check that each language version describes the same current offer.

Ask recent customers what they needed to know before buying. Review the questions your team answers repeatedly. This gives a small business a more useful starting point than assuming all Romanian shoppers behave alike.

For an online store, begin with a buying decision

Pick a product category where customers struggle to choose. Check whether the page explains differences, suitable uses, availability and the next step. AI can help organise source material into a draft comparison; the product facts should come from you or the manufacturer.

Product information also needs to be consistent behind the scenes. Google explains that product structured data can support richer search listings, including price and availability. That technical information should reflect what the customer sees on the page.

For a practical next step: AI shopping in 2026: how Romanian online stores can prepare.

Treat AI visibility as something to observe

Generative Engine Optimization (GEO) is a term used for work on how a business appears in AI-generated answers. Start by recording whether relevant answers mention your brand or cite your pages. Define the questions, language, platform and date so the observations have context.

Google says its AI search features do not require special optimisation beyond established SEO practices. A promise of guaranteed citations should therefore prompt questions about what is actually being delivered.

If AI-search monitoring is part of your project, agree its scope and frequency. Keep those observations separate from enquiries and sales; a mention is not evidence of a purchase.

Agree what progress would look like

Before work begins, save a baseline from the data you can access. For a store, that might include completed orders and relevant page visits. For a service business, it might include genuine enquiries and which ones become suitable conversations.

Record campaign spend, promotions, price changes and tracking limitations alongside the results. A change after a new page goes live does not, by itself, prove that the page caused it. When volumes are small, use customer feedback and usability checks alongside the numbers.

For Digital Intelligence, the starting point is an agreed website, SEO, content or campaign scope. You can discuss the priorities directly with the agency owner. Any continuing management or reporting is defined in the proposal.

Sources for factual claims

Sources checked 9 October 2026. Recommendations and illustrative project examples are Digital Intelligence editorial guidance.