When investors ask AI
about your company,
what answer do they get?

IRAmplify does not provide legal advice and you should consult your legal counsel for a definitive view. However, the SCA IR Charter and both the ADX and DFM IR guidelines place a clear obligation on listed companies to ensure accurate information is available to investors across all channels. The IRO's mandate explicitly includes correcting market misunderstandings. As AI engines become primary research channels for institutional and retail investors alike, the question of whether AI-generated misinformation constitutes a material information accuracy failure is one that forward-thinking IR teams are already considering — and boards are beginning to ask about.

AI engines learn from the publicly available content on the internet — your IR website, press releases, news coverage, financial data aggregators, and other sources. Correction is achieved by ensuring the authoritative, accurate version of your company narrative is clearly structured, technically optimised, and citable by AI engines in formats they can understand. This includes structured data implementation on your IR website, strategically structured disclosure content, and ensuring your official narrative is the dominant, authoritative source AI engines encounter when answering investor queries. This is not about gaming AI — it is about ensuring your legitimate, regulatory-compliant disclosures are actually found and used.

We designed the process around lean IR teams. The initial discovery call is 30 minutes. We then work independently using your publicly available ADX/DFM filings, IR website, and press release archive. The full audit report is delivered within 10 business days. We request one additional 30-minute review call to walk through findings. The total time commitment from your IR team for the audit phase is typically under 90 minutes.

Yes. This is one of the most significant gaps we have identified. ADX regulations require bilingual communication with investors, reflecting the Arabic-speaking retail investor base that forms the backbone of UAE equity markets. AI engines are primarily trained on English content, meaning Arabic-language queries about ADX and DFM listed companies often return the least accurate responses — or no response at all. Our audit includes query testing in both English and Arabic across all major AI engines, and our correction programme specifically addresses Arabic-language AI visibility.

A well-maintained IR website is necessary but no longer sufficient. AI engines do not read your website the way a human investor does — they learn from it during training cycles that may be months or years out of date, and they synthesise information from dozens of other sources including news articles, financial data aggregators, analyst reports, and forum discussions. Even companies with exemplary IR websites regularly find that AI responses about their company are materially inaccurate. The audit is the only way to know what AI engines are actually saying — and a well-maintained IR website is actually the strongest foundation for a correction programme.

Yes. As part of the AI Visibility Blueprint and Ongoing Monitoring programmes, we provide peer benchmarking against comparable ADX and DFM listed companies by market cap, sector, and investor profile. This gives your IRO a competitive context for your AI visibility standing — and allows you to identify specific gaps where peer companies are better represented in AI responses for the queries your investors are most likely to ask.