Answering International Investors in Their Own Language
Shareholder bases are international, but IR answers are usually English-only. This piece covers what the language gap costs, why translating documents never keeps up, and how investor questions can be answered in the investor's own language directly from the company's approved information.
In short
A listed company's shareholder base is international; its investor communication usually is not. The reports are in English, sometimes the home-market language, and every investor whose first language is neither reads the equity story through a filter. This piece covers what that gap costs, why translating more documents never quite closes it, and how questions can now be answered in the investor's own language while staying grounded in the company's approved information.
Key facts
- Most listed companies publish in one or two languages while their shareholders think in many more.
- Translation programmes cover documents, not questions: the report gets translated, the investor's actual question does not.
- When investors research in their own language through general AI tools, the sourcing problem gets worse, not better, because local-language material about the company is thinner.
- Answering questions in the investor's language, from the company's original approved information, removes the filter without multiplying the document workload.
What does the language gap actually cost?
Distance, mostly, and it compounds quietly. An investor reading in their second language asks fewer questions, skims more, and leans harder on intermediaries: local media, aggregators, commentary in their own language. Which means the version of your story they absorb is even more secondhand than usual. Retail shareholders feel this hardest, but it reaches professionals too: a Nordic fund analyst reads your English report fine, yet the follow-up question they would have dashed off in Swedish sometimes does not get written in English.
The cost is rarely visible as a complaint. It shows up as silence from parts of the register, and silence is easy to misread as satisfaction.
Why doesn't translating more documents solve it?
Because documents are the supply side, and the gap is on the demand side. Translating an annual report into four languages is expensive, slow, and out of date by the next release; most companies rightly stop at one or two. But even a fully translated library answers only the questions the documents happened to anticipate. The investor's actual question, phrased their own way, in their own language, still has nowhere to go, and writing back in five languages is not something an IR inbox can staff.
So the practical result of a documents-only approach: the company carries a heavy translation cost and the investor still does their real thinking through whatever local-language material exists, which for most companies outside the largest caps is thin.
What happens when investors ask AI in their own language?
The sourcing problem sharpens. A general AI answering in Spanish or Finnish about a Dutch mid-cap draws on the material it can reach in and around that language, and there is less of it, so aggregators and secondhand commentary weigh heavier in the mix. Where AI answers come from in general is covered in when investors ask an AI about your company; the language dimension just narrows the source pool further. The investor gets a fluent local-language answer that is even further removed from your own record than the English one would have been.
How can a company answer in the investor's language without multiplying the workload?
By separating the language of the answer from the language of the source. A source-grounded assistant answers investor questions using only the company's approved company information, and it can answer in many languages while the underlying documents stay in the language they were published in. The investor asks in Swedish; the answer comes back in Swedish; every point still cites the original source document. What source-grounded means is explained in what is a source-grounded IR assistant; MIRA is such an assistant and answers in many languages.
Note what this does and does not change. It does not translate your official company information; the authoritative documents remain exactly as published and approved. It changes the conversation layer: the question and answer happen in the investor's language, the evidence stays in yours, and the citation bridges the two. The translation cost stops scaling with the number of languages, because nothing new is being published per language.
The bottom line
International shareholders read an English-only equity story through a filter, and translating more documents is a slow, expensive way to close a gap that lives in the questions, not the documents. Answering investor questions in the investor's own language, grounded in the company's original approved information with a citation per point, removes the filter at the conversation layer while the official record stays untouched. The companies with the most international registers have the most to gain.
Hear your equity story answered in your investors' languages. Book a MIRA demo and we show you MIRA answering real investor questions in multiple languages, grounded only in your published documents.
About the author: Sander van Prooijen is Head of Commercial Strategy at Finvictum, where he leads the European rollout of MIRA and works with listed companies on AI-era investor communication. He has presented at Better Finance EU alongside speakers from Repsol, the European Commission, and DSW. Connect on LinkedIn.