Investor relations is becoming AI relations because two-thirds of the retail investors who traded a microcap stock in the past year researched it inside an AI engine before opening the 10-K, according to the 2026 Virgo PR AI Retail Investor Study of 1,247 self-directed investors. IR teams now need to monitor, compare and correct what ChatGPT, Perplexity, Gemini and Claude say about their company.
By Kyle Porter, Executive Vice President and Managing Director of Virgo PR. Disclosure: Everything-PR and Virgo PR share common ownership through 5W AI Communications. Everything-PR reports independently, and editorial decisions are made by its editorial team.
The study, which my firm released as the 2026 Virgo PR AI Retail Investor Study on Microcap Research Behavior, changes what the discipline of investor relations is for. The IR mandate has widened, and most CFOs and boards have not caught up.
For twenty years, IR has been a document business: the 10-K, the 10-Q, the earnings release and the investor deck. Publish the primary sources, host the call and trust the chain of custody, in which the company speaks, the analyst writes, the reporter cites the analyst and the investor reads the reporter. In microcaps that chain was always thin, with little or no sell-side coverage and episodic media attention.
Who now sits between the company and the retail investor?
An AI engine now sits between the company and the retail investor, and for two-thirds of retail microcap investors in the study it generates the first answer. Before 2026 that position belonged to a Yahoo Finance ticker page, a Seeking Alpha piece or a Reddit thread.
The answer is composed on demand. It draws as much on what the company said last week as on what the 10-K said last quarter, and in the study it forms the retail investor's first impression of the company more often than the IR website does.
This is a communications problem, not a technology problem, and IR teams are suited to it. It is the same job IR has always done: getting the right information to the right audience through an intermediary that does not always translate accurately.
IR teams should measure what engines say about the company, because the trailing indicators IR has relied on, such as share price, holder count, trading volume and sell-side ratings, lag behind the moment a retail investor forms a view. That moment can now happen in a chat window, minutes before a market order, from an answer no one at the company has read.
What are the four shifts every IR team should make?
The study points to four operational shifts.
Monitor what the engines say at least monthly. Check the completeness of the business summary, the accuracy of the financials, the treatment of risk factors and the order of positive and negative points in the default answer. If you cannot describe your ticker's answer in ChatGPT to your board, you cannot manage it.
Compare engines against each other. The study found median cross-engine variance of 34% across the microcap universe, so an investor who uses a stale engine decides on outdated information.
Treat hallucinations as time-critical corrections. When an engine gets a fact wrong, such as a market cap off by 20% or revenue tied to the wrong segment, the correction cycle is measured in weeks. In the study benchmark, 31% of retail investors left the whole research session on a ticker after catching a single verifiable factual error in an AI answer.
Rewrite the business description as two sentences and use them everywhere. The study found the strongest predictor of a high Virgo AI Visibility Score is a two-sentence, machine-parseable business description that appears word for word on the IR site, in the 10-K business section, in the earnings script opening and in every press release boilerplate.
Consistent wording lets an engine reach a confident answer, and fragmented wording lets hallucinations fill the gaps. For the drafting rules behind this, see AI-readable disclosures.
Where should AI relations sit in the IR organization?
EPR editorial note. Most large-cap IR teams are organized around analyst relations, investor outreach, disclosure and ESG communications. None of those four functions owns how the company is summarized inside AI engines, so the work usually has no owner. Three reporting lines are in use, and EPR has not found data showing one is better.
Under IR, which keeps the work next to disclosure and Regulation FD discipline and suits large-cap issuers with a dedicated IR head.
Under corporate communications, which suits issuers whose AI visibility needs span investors and consumers.
Under strategy or the chief of staff's office, which keeps the work close to the CEO and outside any single function.
The person who builds the function sits between corporate communications, search optimization and data analysis, and can read a transcript and a set of engine answers in the same hour. Start with one question for the board: who at the company is responsible for what ChatGPT says about us? If the answer is no one, that is the assignment.
Is investor relations becoming AI relations?
Yes. Investor relations was never only about compliance disclosure. It was always about accurately transmitting the company's story to the people who allocate capital, and the channels for that have changed from press wires to Bloomberg terminals, IR websites, webcasts, Twitter, Reddit and StockTwits. AI engines are the newest channel and, for retail investors, the one where research now begins.
Retail is a bigger share of the microcap holder base than before, and that base researches tickers inside AI engines first. Companies that measure, manage and correct that layer gain a durable advantage, and companies that ignore it will keep wondering why the tape tells a story their investor deck never mentioned. This is a widening of the mandate, not a rebrand.
The earnings-call side of the shift is covered in the CEO's first sentence study and in the earnings call communications playbook. The full Virgo study, including the AI Visibility Score method, the Top 25 Most AI-Visible Microcaps of 2026, the Microcap AI Error Taxonomy and the four-engine comparison, is available at virgo-pr.com.
Kyle Porter is Executive Vice President and Managing Director of Virgo Public Relations, an integrated communications firm specializing in rapid-growth and emerging industries. He brings more than a decade of agency leadership across financial communications, corporate reputation, and emerging-market strategy, having advised on more than 20 IPOs and reverse takeovers with valuations exceeding $1 billion. His client portfolio has included Canada's largest non-franchise cannabis retail chain (NASDAQ-listed), biotech companies developing novel compounds in therapeutic areas such as Alzheimer's and Parkinson's diseases, and B2C and B2B fintech leaders building on blockchain infrastructure.
