The verdict in three sentences
A commodity trading house in Dublin sells little through its website, but it is checked constantly: by trade finance banks, counterparties, NGOs, regulators and candidates, who now put some of their questions to AI assistants like ChatGPT. If public information on your governance, sanctions and KYC policies and responsible sourcing is thin or contradictory, the answer will be vague, outdated or drawn from an old press article. On the market, a diagnostic costs roughly EUR 2,500 to 8,000 in 2026, and the only honest indicator is a dated record of the answers to the same questions.
Who asks AI assistants about a trading house, and why
Trading has no end customer comparing product sheets. The questions come from audiences who must decide whether they can work with you.
| Audience | Typical question put to the AI | Risk if the answer is wrong or empty |
|---|---|---|
| Trade finance bank | Does this Dublin trading house publish a sanctions and KYC policy? | Longer due diligence, credit line delayed |
| Industrial counterparty | Who runs this trading house and where are its offices? | Doubt about the entity's substance |
| Upstream supplier | Does this firm have a responsible sourcing policy? | Refusal to onboard |
| NGO or journalist | Which Ireland-based trading houses publish an ESG report? | Perceived lack of transparency |
| Trader or analyst candidate | Which trading houses are hiring in Dublin in 2026? | Fewer qualified applications |
| Credit insurer | Does this firm belong to a group, and which one? | Less favourable cover terms |
| Auditor or adviser | Where is this firm's code of conduct? | Extra back-and-forth, lost time |
These questions concern credibility and compliance, rarely products. That is where visibility is decided.
Why some trading houses are named and others are not
| Factor | What helps | What hurts |
|---|---|---|
| Consistent public information | Same legal name, same group, same offices everywhere | Old trading name still visible in directories |
| Clear compliance pages | Sanctions policy, KYC, code of conduct, whistleblowing | A single line saying we comply with all laws |
| ESG publications | Reports as actually published, dated | Vague commitments with no document |
| Third-party mentions | Industry associations, business press, banking partners | Only old articles |
| Structured data | Organisation, offices and leadership marked up | Nothing machine-readable |
| Freshness | Dated pages, up-to-date careers section | 2024 job ads still online |
A word of caution: never publish volumes, counterparties or flows without internal sign-off, and never let a provider estimate them to fill a page. An AI will repeat a wrong figure as readily as a right one.
On the Irish framework, the GDPR and the Data Protection Act 2018, overseen by the Data Protection Commission, apply to contact forms and applications; the Central Bank of Ireland supervises financial entities, which can concern some subsidiaries; and the European Accessibility Act also pushes towards accessible pages. The exact regime that applies to you is for your lawyers. This is not legal advice.
What the work covers and what it costs
The market is young and offers vary a lot. The figures are a 2026 ballpark drawn from typical quotes by European agencies and consultants, not from a survey.
| Workstream | Scope in broad terms | 2026 ballpark (EUR) |
|---|---|---|
| Diagnostic | 25 to 50 questions tested per audience, dated record, errors and gaps | 2,500 to 8,000 |
| Credibility and compliance pages | Governance, sanctions, KYC, sourcing, offices | 5,000 to 15,000 |
| Consistency of external profiles | Registers, directories, professional networks | 1,500 to 4,000 |
| Recruiting content | Role pages, career paths, application process | 2,000 to 6,000 |
| Quarterly tracking | Same questions asked again, dated comparison | 1,200 to 3,000 per quarter |
Kolonell handles this kind of engagement on quote, starting from a diagnostic. No serious provider can promise that an AI will name you: you make the information accurate and available, then you measure.
Measuring: the dated record
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Measurement rests on three figures tracked over time: the share of answers naming the firm, the accuracy of what is said (leadership, offices, policies), and the sources the answers appear to draw on. The same questions are asked, in the same wording, on fixed dates, and the answers are kept. Without that record, any claim of progress cannot be checked.
Mini case study
Illustrative example: Liffey Resources Trading Ltd, a 40-person metals trading house in Dublin, tests 30 questions asked by its audiences. It is named in 5 answers out of 30, or about 17%, and two answers mention an old trading name. Budget under consideration: a diagnostic at EUR 5,000 (market assumption) and a rewrite of the compliance pages at EUR 8,000 (market assumption), so EUR 13,000. Reference point: if a recruiter charges 20% of a EUR 120,000 salary for a trader, a single hire costs EUR 24,000 (assumption); careers pages that AI assistants can read are one of the levers for attracting direct applications, with no promise of results.
FAQ
How much does an AI visibility diagnostic cost for a trading house in Dublin?
As a 2026 ballpark, EUR 2,500 to 8,000 depending on the number of audiences and questions, often 25 to 50. At Kolonell it is on quote.
Does a trading house really need to be visible in AI assistants?
It is not looking for sales there, but banks, counterparties and candidates check its credibility there. A wrong answer about its leadership or sanctions policy can stretch a due diligence by several weeks.
Do we need to publish our volumes to be named?
No, and it is rarely advisable. Clear pages on governance, offices, compliance and reports actually published are enough to provide solid information.
How long before we see a change?
Corrected pages can be picked up within a few weeks; third-party mentions often take 3 to 6 months. A record every 3 months gives a reliable reading.
Can anyone guarantee ChatGPT will recommend our firm?
No, nobody controls an AI's answer. You improve what is published and consistent, then track change through a dated record.
Find out how AI assistants describe your firm. A dated record of what AI assistants like ChatGPT say about your governance, compliance and offices, audience by audience. Request a diagnostic quote: reply within 48 hours.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
