The verdict in three sentences
Counterparties, trade finance banks and recruits of a commodity trading house in Washington DC now put their first questions to AI assistants like ChatGPT before they open your website. What those assistants answer depends mostly on the consistency of your public information: governance, sanctions compliance, responsible sourcing, offices, leadership. The matching work runs a 2026 ballpark of 3,000 to 9,000 USD per month on the market, it is measured with a dated record of answers, and no honest provider can promise your firm will be cited.
What your counterparts ask AI assistants in 2026
A trading house based in Washington does not sell to consumers. Its presence in the capital usually comes from proximity to institutions: regulators, development banks, export finance agencies, think tanks, NGOs. The questions people put to assistants reflect that audience.
| Who asks | Example question put to an AI | What the AI tries to confirm |
|---|---|---|
| Credit officer at a trade finance bank | "Which metals traders based in Washington DC publish a sanctions compliance statement?" | Published sanctions policy, governance |
| Industrial buyer | "Reliable grain trader with an office in Washington and in West Africa?" | Offices, markets covered, track record |
| NGO analyst | "Which cocoa trading company has a public traceability policy?" | Responsible sourcing pages |
| Compliance counsel at a counterparty | "Does this trading house have a named KYC officer?" | Compliance structure, contacts |
| Analyst candidate | "Commodity trading jobs in Washington DC: which firms are hiring?" | Careers page, culture, roles |
| Trade journalist | "Who runs this trading house and since when?" | Accurate, dated leadership pages |
| Public finance partner | "Energy traders in Washington DC committed to ESG reporting?" | ESG report actually published |
None of these questions is about price. They are about trust. When the AI finds nothing clear, it cites a better documented competitor or answers vaguely, sometimes inaccurately.
Why some firms show up and others do not
Assistants assemble an answer from what is published, consistent and easy to extract. Several factors weigh in, with no guaranteed recipe:
- identical information everywhere (legal name, head office, offices, leadership) across your site, registries, professional profiles and press;
- factual, dated pages: sanctions and KYC policy, code of conduct, responsible sourcing, ESG report as actually published;
- mentions by credible third parties: industry associations, trade press, partners who name your firm;
- structured data describing the organization, its offices and its leadership;
- freshness: a 2021 ESG report left alone online sends the wrong signal.
In this sector, the golden rule is to never publish volumes or counterparties you would not want repeated. An AI can pick up a loose sentence and pass it on to a bank. On sanctions and export control topics (OFAC lists, Commerce Department rules), wording must be cleared by your legal team. This is not legal advice.
On the site itself, two general US obligations stay relevant: accessibility (ADA Title III suits regularly target websites, so aiming for WCAG 2.1 or 2.2 AA is prudent) and CAN-SPAM for your email sends.
What the work covers and what it costs on the market
In broad terms, AI visibility work covers a diagnostic of current answers, bringing public information back into line, clarifying compliance and governance pages, work on third-party mentions and periodic tracking. The market is young and offers vary widely.
2026 ballpark, based on typical US agency quotes and public agency rate pages:
| Service | 2026 range (USD) | Note |
|---|---|---|
| One-off diagnostic of AI answers | 2,500 to 8,000 USD | 30 to 60 questions tested |
| Monthly engagement, single-office firm | 3,000 to 6,000 USD per month | Tracking and page fixes |
| Monthly engagement, multi-office group | 6,000 to 12,000 USD per month | Several entities and languages |
| Rewrite of compliance and governance pages | 5,000 to 15,000 USD | Legal review not included |
| Associated trade press relations | 4,000 to 10,000 USD per month | Often a separate firm |
| Quarterly tracking only | 1,500 to 4,000 USD per quarter | Dated record, no production |
At Kolonell, this work is priced on quote after a diagnostic, based on the number of entities, offices and languages.
How to measure without fooling yourself
The only honest measure is a dated record: the same list of questions, put to the same assistants, at regular intervals, with the answers archived. Three indicators matter:
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- the share of answers that mention your firm;
- the accuracy of what is said (head office, leadership, policies);
- the sources cited, when the assistant shows them.
A baseline record and then one every 30 to 90 days is enough to see a trend over 6 to 12 months. Answers vary from day to day: a single number proves nothing.
Mini case study
Illustrative example: Potomac Basin Trading, a metals trader with an office in Washington DC and two offices abroad. The CEO has 40 questions tested. Baseline: the firm appears in 4 answers out of 40, 10%, and two answers still name a former CEO who left in 2024.
He commits to 9 months of work at 5,000 USD per month, 45,000 USD, plus 8,000 USD to rewrite the compliance pages. Total: 53,000 USD. At the month 9 record, the firm appears in 11 answers out of 40, 27.5%, and the leadership errors are gone from the tested answers. This example shows a measurement method; it predicts no real result.
FAQ
Can we pay an AI to cite our firm?
No, assistants like ChatGPT have no paid placement in their organic answers. The work is about the clarity of your public information, and no serious provider promises a recommendation.
How many questions should we track?
Between 30 and 60 questions usually cover the key audiences: banks, buyers, NGOs, candidates, press. Below 20, day to day variation distorts the reading.
Should we publish our volumes to be more visible?
No. Publish only what your firm already discloses officially, such as an ESG report or a sourcing policy. Undisclosed volumes and counterparties do not belong on the site.
How long before a visible change?
Allow 3 to 9 months, depending on how often the sources assistants rely on are refreshed. Fixes to factual errors sometimes show up faster than new mentions.
Is this different from classic SEO?
It overlaps with SEO but targets something else: the written answers of assistants rather than a list of links. A budget of 3,000 to 6,000 USD per month can often cover both for a single-office firm.
Find out how AI assistants describe your firm. We record what AI assistants like ChatGPT say today about your trading house in Washington DC and price the fixes that matter. 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.
