What is your company's voice in management's absence?

Beyond discovery: your company's voice when management is not in the room 

At the London Stock Exchange’s Spark Insights webinar, “AI in IR - How Are You Discoverable?”, the discussion began with a pressing question for every issuer: how can companies remain visible as investor research moves across search, digital platforms and AI?

Emperor’s Director of AI & Growth, Dan Drury, opened by widening the scope of the conversation: “Discovery is showing up,” he said. “But the real question is what is showing up?”

That distinction matters. In the search era, a result generally led an investor to an issuer’s website, annual report and results pages – that the company has control over. Using AI, an investor will receive a generated answer from owned, earned and other cited sources. They might never visit the company owned website at all.

And therein lies the danger. Does the investment case remain accurate, current and recognisable once AI has retrieved, remixed and retold it.

Earlier this year, at the LSEG IR Masterclass in May, Dan framed AI as both a channel and a stakeholder. AI is a channel because it delivers information to stakeholders. But it is also an interpreter, judge and opinion former – and that makes it a stakeholder.

Discovery vs Survival

A company may be prominent in an AI-generated response but still be misunderstood. An answer may cite an issuer source but lose the qualification, date or definition that made the original statement meaningful. It may present a target as an achieved outcome, blend a former strategy with a current one or repeat a historic issue without recognising its resolution. 

This is not always a dramatic AI hallucination. Often, it is more subtle. The answer sounds plausible but has changed the meaning along the way. We call this “narrative survival”.

An analyst asking about capital allocation, a retail investor asking whether to buy a share and a journalist asking about a past controversy may receive different versions of the same corporate story. The task for IR is not to control every answer. It is to increase the probability that the evidence feeding those answers is coherent, current and authoritative.

The objective is a high-fidelity flow of the company’s material narrative into the global financial system - with strategy, performance, risk, capital allocation, dates, evidence and qualifications still connected, as if the reader were in the room.

To explore topics like these in more detail or speak to one of our AI & Growth team about how to better your AI efforts, email [email protected] - we'd love to hear from you.