Investor research behaviour is changing faster than many listed companies realise.
Increasingly, investors are bypassing traditional navigation paths and asking generative AI tools direct questions about company performance, strategy, risk and sustainability. Those tools are no longer peripheral. They are becoming a primary gateway to corporate information.
This shift is now supported by robust evidence. A joint academic and industry study by USTP – University of Applied Sciences St. Pölten, HHL Leipzig Graduate School of Management and nexxar analysed how generative AI systems reference annual reports across European listed companies. The findings are clear.
Corporate reports are already one of the most frequently cited sources for finance and ESG‑related questions, accounting for 58 percent of all cited sources in reporting‑related AI prompts.
The issue is not whether AI will reference your disclosures. It is which format it can access, how accurately it interprets them, and whether your organisation is shaping that interaction.
Format is now a material driver of AI visibility and accuracy
One of the most significant findings from the IR Impact research is the role of format.
3.05x more frequently
Accuracy also improved materially. When AI systems answered questions using HTML‑based reports, 71 percent of responses were assessed as accurate, compared with 54 percent accuracy when PDFs were the primary source.
Client case study - schema markup
We supported a UK listed digital platform with the optimisation of its half‑year results announcement through the implementation of structured report schema markup. The work focused on clearly defining financial performance, key metrics and reporting context in a machine‑readable format (JSON-LD), enabling generative AI tools to more accurately interpret and attribute verified disclosures quickly on results day.
By strengthening structured data at the point of release, the organisation improved how interim results were surfaced, understood and cited within AI‑mediated investor research, reducing reliance on third‑party interpretation and unstructured sources being cited.
AI citation behaviour increases governance and trust risk
Independent testing by the Tow Center for Digital Journalism demonstrates that generative AI search tools struggle significantly with citation accuracy. In a controlled study of 1,600 queries across eight AI search tools, researchers found that more than 60 percent of responses contained incorrect or fabricated citations.
Digital summary reports as an AI‑preferred investor entry point
Generative AI systems concentrate their access and citations around specific core sections of corporate reporting. These include operating activities, strategic direction, financial statements, financial metrics and sustainability reporting.
A digital summary report allows these elements to be presented as a structured, navigable, investor‑facing entry point, optimised for both human understanding and AI consumption.
Client case study - multi-page Year in Review
In 2025, we partnered with a FTSE 250 UK listed construction and infrastructure group to deliver a multi-page Year in Review microsite instead of a single page summary. The project transformed key annual report content into a structured, HTML-based format, improving accessibility for investors and enabling more accurate interpretation by generative AI tools.
The results speak for themselves.
- 54% increase in views in the first seven days compared to the previous year
- 37% increase in engagement time compared to last year
- 14% reduction in bounce rate compared to other investor content
Sustainability data requires particular care in AI‑mediated environments
AI systems actively access sustainability sections when they are available in structured formats, while broader AI search research shows that community‑generated and third‑party sources dominate AI citations when authoritative content is harder to interpret.
This is not an SEO exercise. It is a reporting strategy decision.
A digital summary report extends the value of your annual report into an AI‑mediated environment, strengthening accuracy, visibility and trust without compromising compliance.
The decision point for listed companies
Commissioning a digital summary report is a proactive step. It provides investors with a clearer entry point, gives AI systems a more reliable source to reference, and ensures that verified financial and sustainability information has the best possible chance of being represented accurately.
Digital summary and year in review content can be built seperately from your main website. Reach out if you'd like to start the digital reporting process.