Your investors are asking AI about your business. What is it telling them?

Faster, sharper scrutiny

Before your next results call, an analyst could already have asked AI to compare your strategy with your performance and check your claims against the evidence. The same analyst could also have had it flag anything that doesn’t add up between your annual report, website and results presentation. What would it find?

For reporting and communications teams, that is a new and urgent challenge. Your story has to be visible, accurate and consistent wherever investors look for it, and wherever the tools they use go looking too.

That was the focus of When investors ask AI: The future of reporting and how to win in AI visibility, Black Sun’s recent event at London’s Goldsmiths’ Centre. More than 40 senior communications, digital, investor relations and reporting professionals attended, from organisations including Rio Tinto, Anglo American, Fitch Group, Flutter, FirstGroup and RS Group.

The clearest message of the day was that AI is changing the questions investors can ask, and how quickly they can get to them. Analysts can screen larger universes of companies and pull information together from multiple sources. They can compare performance over time and test an investment thesis against a far broader set of data. A single, specific question about your strategy or risks can quickly surface anomalies and inconsistencies worth investigating.

Human judgement still decides what it all means, especially when sources conflict or an investor needs to understand why something has changed. Investors are still reading your reporting, but now they can interrogate it too.

Every claim can now be tested

One of the most practical ideas from the day was to get there first. Ask AI to assess your own investment case and to compare your strategy with your performance. Then look at what it finds. Does it find evidence for your claims? Does it pick up inconsistencies between your annual report, website and results presentation? Does it raise questions your management team would struggle to answer? It is better to find those gaps this way than in an investor meeting or on a results call.

The same scrutiny applies over time. AI makes it easy to set what a company says today against what it said before. A shifted sustainability target, a changed performance measure or a reworked strategic priority can be surfaced quickly. Companies are free to change course, but they need to explain what has changed and why. The annual report, website, investor communications and leadership channels all have to tell recognisably the same story.

The instinctive response is to publish more, and the discussion challenged it. More content means more versions of the story and more room for inconsistency. Nobody needs to recreate a 200-page annual report across their website. The work is to identify what is genuinely material and make sure it is clear, coherent, easy to find and backed by evidence.

Feed the bots, but don’t starve the humans

How that information is published matters as much as what it says. The PDF remains a trusted resource for investors, but it can’t carry the digital story alone. One example from the event made the point. A company published its results content in a well-structured web format, and AI tools were surfacing and citing it. Where similar information sat only in a PDF, the company’s own content was far less visible as a source.

That puts key messages, KPIs, strategic priorities and supporting evidence firmly on the website, in structured HTML. The rest of the site needs to keep pace with the report too. A new annual report has limited impact if other pages still show an old strategy or an outdated investment case. Page structure, metadata and schema markup were once left to the SEO team. They are increasingly part of the communications infrastructure.

Being found is only the first step. Speakers described AI visibility as a progression through three stages:

Discoverability - AI can find your content.

Visibility - it actually uses that content.

Authority - it treats your content as a credible source.

Getting to the third stage depends on the quality, consistency and credibility of the information itself.

Then there is nuance. As one panellist noted, describing performance as “robust” or “resilient” can mean something to an experienced investor, and an AI summary can flatten that distinction. The answer is stronger source material: clear enough for AI to interpret accurately, and detailed enough to keep the context people need. Or, as one message from the day put it, feed the bots, but don’t starve the humans.

The substance is still yours

None of this makes the annual report process redundant. Panellists valued it for bringing teams together, focusing attention on what matters and making sure information is reviewed, challenged and approved. One called it almost a “cleansing ritual”. That process produces a trusted source, and the opportunity is to make it work harder. The report can anchor content that flows into the website, investor communications, leadership channels and social media. Teams can then adapt what is already approved rather than starting again each time.

It also means measuring what happens after publication. Traffic and engagement still count. So do AI crawls, which content gets surfaced and cited, and whether AI represents your narrative accurately. Visibility has to be monitored.

AI is changing the mechanics of corporate reporting. Its purpose stays the same: communicating performance, strategy, risk and long-term value clearly and credibly. AI may help investors ask better questions. It is still up to companies to provide the substance, and the dialogue, behind the answers.

Got any questions?

Want to know what AI is telling investors about your company? Get in touch with our team to find out how Black Sun’s AI Authority Analysis can help.