Investor relations insights
Articles on investor research, company reporting and AI.
How to structure company information for investors, and for AI
Investors and AI tools run into the same problems in company material: unclear names, missing dates and undefined terms. Fixing them is one editorial job, not two.Read the pieceChoosing an AI assistant for investor relations: the questions to ask any vendor
The AI IR assistant market is young and the demos all look impressive. This buyer guide lists the questions that separate the systems: the source boundary, the edge test, citations, languages, question visibility, setup, and what the product deliberately leaves out.Read the pieceAnswering international investors in their own language
Shareholder bases are international, but IR answers are usually in English only. This piece covers what the language gap costs, why translating documents never keeps up, and how to answer investor questions in the investor's own language, straight from the company's approved information.Read the pieceResults day: when investor questions spike and the answers must hold
Around results publication, investor questions multiply just when IR has the least time. After the report goes out, the company rarely learns which parts landed. This piece covers the results-day question spike, the black box after publication, and how to answer from your own record when attention peaks.Read the pieceWhy does AI give an incomplete picture of smaller listed companies?
General AI tools depend on how much good public material exists about a company. For small and less-covered listed companies there is little of it, so the tools tend to produce a tidy but incomplete story that can miss material facts. A source-grounded IR assistant works only from the company's own approved information, so it can surface those facts and cite them.Read the pieceDo investors actually use AI to research companies? What the surveys show
Survey data from 2026 shows AI has become a normal part of retail investment research. An Investing.com survey found that 62% of US retail investors have used AI tools to inform investment decisions. Here are the verified numbers, what investors use AI for, how much they trust it, and what it means for IR.Read the pieceHow do you keep investors updated after a raise without drowning in emails?
After a round closes, what costs time is rarely the scheduled update. It is the questions that land in between. A practical way to handle both without living in your inbox.Read the pieceWhat is a source-grounded IR assistant, and why now?
A source-grounded IR assistant answers investor questions using only a company's own approved, published information, and cites each point back to the source. Here is what that means, how it works, and why it matters now that investors research through AI.Read the piece
How investors research a company they've never heard of
Before an investor emails you, they have already searched your name, asked an AI chatbot and formed a view. Here is what that early research often looks like.Read the pieceAI visibility for your equity story: what IR teams should check
More investors now research listed companies through AI tools. This guide covers three questions for IR teams. Which sources do the models use? How far can you steer the answer? What happens to the investor questions IR no longer sees?Read the pieceWhat to prepare before you raise, so every investor gets the same answer
Raise preparation covers far more than communication. One part founders can fix before the first call is giving the questions that repeat through a raise one current, agreed answer.Read the pieceWhy a static IR page is no longer enough for a growing company
A small company does not need an elaborate investor relations platform. But an IR website that mainly stores reports and releases leaves too much of the research to the investor.Read the pieceHow to build an equity story before any analyst covers you
Before an analyst interprets your numbers, the investment case exists only if you have made it clear yourself. Explain how the business creates value, what is changing its economics, and what evidence backs that up.Read the pieceInvestor questions are coming whether you have an IR team or not
How founders and CFOs at small listed companies keep investor answers consistent when nobody's job is IR.Read the piece
Why do REITs trade below NAV, and what can AI miss?
Many REITs and SOCIMIs trade below their published net asset value. The reasons range from company risk to sector conditions to low market visibility, and an AI tool researching the gap can miss the difference.Read the piece
How to research a non-listed property fund, and what AI can and cannot tell you
Non-listed property funds are harder to research than listed companies. An AI tool can help with parts of that research but misses the parts that matter most for judging a fund's risks.Read the pieceWhat does AI know about a private company? Almost nothing, and that cuts both ways
General AI systems have learned very little about private, non-listed companies. That is one more reason to keep a clear, current public record of what your company does.Read the pieceWhat investors are asking about your company, and why IR stopped seeing it
Investor questions used to reach IR because every one of them passed through a person. Many now go into a chatbot, where IR never sees them. Here is how to get that signal back.Read the piece
What belongs on an IR homepage? A checklist
A checklist for what an IR homepage should show above the fold, and the one gap almost every IR site still has.Read the pieceWhen investors ask an AI about your company, where do the answers come from?
When an investor asks a general AI model about your company, you cannot choose its sources or make sure it reaches your own corporate information. A source-grounded IR assistant answers only from approved company content and cites every point.Read the pieceIf general AI already answers well about your company, why use a source-grounded assistant?
For a large, well-covered company, a general AI often gives a reasonable answer. So the case for a source-grounded IR assistant is not accuracy. It is control and provenance. The assistant answers only from your approved company information and cites it, so you can stand behind the answer and an investor can check it.Read the piece
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