The next question about your business may go to AI

The Reuters Institute's research published on 29 October shows how quickly generative AI is entering everyday information habits. Across the six countries tracked over time, reported weekly use of standalone generative AI tools and chatbots rose from 34% in 2025 to 51% in 2026. The share using generative AI to obtain information in the previous week increased from 24% to 38%. The wider study covers nine countries and does not include Greece, so these figures describe the surveyed markets rather than Greek consumers. [Sources]

For a business, the useful question is what an assistant can establish about it when someone asks. A prospect may want to compare suppliers, understand a technology, check an executive's experience or investigate a claim. The answer can draw attention to an outdated service description, an unclear company identity or a story that the business has never explained properly.

Give the answer something reliable to work with

Our view is that a communications programme should make its essential evidence easy to find and understand. That means current descriptions of the organisation, named expertise, dated project accounts and claims that lead to useful supporting material. Repeating an ambitious slogan across more pages contributes little when the underlying question remains unanswered. Independent reporting and a clear company explanation serve different purposes, and both deserve attention.

A practical review starts with the questions a buyer, journalist or prospective employee would actually ask. Record the answer, the date and any cited pages. Separate a factual error from a missing citation, an unfavourable judgement and a legitimate uncertainty. Each requires a different response. A single favourable answer is also weak evidence of consistent visibility, because prompts and systems can produce different results.

How One9Six would use this

For a technology business preparing a launch in Greece, we would review a small set of commercially important questions, then repair the information that matters most. The resulting work could include an executive profile, a precise product explanation, an evidence-led case study and a media briefing that answers the same difficult questions consistently. Greek and English material should agree on dates, roles and technical claims.

We would repeat the review after publication and report which errors were corrected and which remain unresolved. The purpose is to improve the quality of the information available about the business. Neither a clearer website nor a successful test entitles an agency to promise a particular AI recommendation.