When investors ask an AI about your company, where do the answers come from?

In short

More investors now research listed companies through AI tools instead of the IR website. When an investor asks ChatGPT, Claude or another model about your company, you cannot control which sources it uses or whether it reaches your own corporate content. Nor can you make it show the investor where each answer came from. A source-grounded investor relations assistant works differently. It answers only from your own approved, published content and disclosures, cites each point back to the document, and says so when the filings do not cover something. What changes is the source of the answer, and who controls it.

Key facts

• Investors increasingly research companies through AI tools alongside the IR website.

• Traffic to IR websites is falling, so companies see less of what interests investors and what they are looking for.

• With general AI, a company does not control which sources are used or whether its own documents are cited.

• A source-grounded assistant answers only from the company’s approved documents and cites each point.

• When the filings do not say something, it says so instead of filling the gap.

Part of investment research now happens inside an AI assistant. Investors type a question, read the reply and form a first impression. The answer may be perfectly reasonable. For an IR team the question is where it came from, and whether your company could stand behind it.

Where do AI tools get their answers about a company?

From whatever public sources the model picks, not the ones you would pick. Ask a general-purpose AI about a listed company and it uses the public material it can easily reach. That means financial aggregators, news and analyst commentary, reference sites, and your own disclosures if it finds and uses them. Sometimes that material is current and accurate. But the model decides which sources to rely on. You have no say in that choice and usually cannot see it.

There is a second mechanism. When someone asks an AI model a broad question, such as whether a company is worth investing in, the system splits it into smaller questions and answers each one separately. What does the company do, how has it performed, what are the risks, what does the latest news say. The model answers each part from whatever source it finds for it. The investor gets one confident summary built from several sources, usually with no sign of which claim came from where.

Some IR teams do not realise the next point applies to them. Some company websites, IR sections included, block AI crawlers outright. This is often a side effect of a general security setup, not an IR decision. In that case the model cannot reach the company’s own disclosures at all, however current or well written they are. It falls back on aggregators, commentary and older material. The company has taken its own account out of the answer entirely.

Can a company control what an AI says about it?

On the open models, not directly. You cannot edit how a general AI model summarises your strategy, and you cannot choose which sources it consults. You can improve the raw material by keeping your IR site clear and well structured, and that is worth doing. But an outside system still chooses the sources, interprets them and writes the final answer.

What you can control is the assistant you put in front of investors on your own channels. Many investors would rather hear something from the company than from a stranger, if the company makes it as easy to ask. Give them a fast, accurate answer from your approved disclosures, with citations, and many will use it.

Why does the source of the answer matter for a listed company?

For a listed company, “roughly right” is not the standard. Disclosure is a regulated duty to be fair, accurate and even-handed, and knowing where information came from is part of that. If an answer about your company comes from sources you did not choose and cannot point to, you cannot show where it came from or stand behind it.

There is a quieter cost too. When investors ask a general AI model instead of contacting you, you stop seeing what they ask. You miss the topics they keep probing, where they hesitate and where they are unsure. That signal used to reach IR through emails, calls and meetings. Once it moves into a general assistant, you lose a direct read on what the market wants explained.

What is a source-grounded IR assistant, and how does it avoid creating disclosure risk?

A source-grounded assistant answers questions using only the documents a company has approved and published, and nothing else. You can trace every point it makes to a specific disclosure. When the filings do not contain something, such as a valuation multiple or a formal target, it says so instead of inventing a plausible figure.

That design is also why it does not create new disclosure risk. It can only repeat what is already public, in the company’s own wording, and point back to the source. It makes no new statements about the company. It finds and cites existing ones. MIRA is built on this. Its answers are not meant to be cleverer than a general model’s. They are sourced, so an IR team can stand behind them and an investor can check where they came from. It answers in plain language, in many languages, and says when something is outside what it knows.

What should an IR team do next?

Start by looking at what AI says about your company today. Ask where those answers come from and whether you could stand behind them. Then decide whether you want investors to rely on that, or on an assistant that answers only from your own record and cites it. The practical first step is to watch a source-grounded assistant work on your own disclosures. See how it cites, how it handles a question the filings do not answer, and which questions investors ask most.

The bottom line

AI tools describe your company to investors whether you take part or not. The choice is narrow. You can leave the answer to a general system that picks its own sources. Or you can give investors an assistant that answers only from what you have published, tells your story in your words and cites it every time.

See what MIRA does with your own disclosures. Book a demo and we will show you MIRA answering real investor questions from your published documents only, with a citation behind every line.

MIRA is an investor relations assistant that answers investor questions from a company’s own approved, published disclosures. It is part of the Finvictum group’s tools for direct, compliant communication between companies and their investors.