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An Etsy IR website case study Creates a Destination for the Investor Community
When Deb Wasser joined Etsy in 2018, her appointment as vice president of investor relations wasn’t the only change the company had seen since its...
4 min read
Aarthi Natarajan : Updated on July 14, 2026
AI is changing how investors discover and consume company information. This first article in our three-part series explores why IR websites must be AI-ready, what’s at stake if they are not, and the practical steps IROs can take to ensure their story leads investor conversations.
This article is the first in a three-part series designed to help investor relations officers (IROs) adapt their IR websites for the era of AI. Over the coming weeks, we’ll explore:
The aim of this series is to equip IROs with clear, actionable guidance so their corporate narrative is not only discoverable in AI-driven environments, but consistently positioned as a trusted, leading source.
Investor discovery no longer begins with a Google search or a visit to the company website. Increasingly, it starts with a question posed to a generative AI (Gen AI) tool like ChatGPT, Gemini, or Perplexity. These platforms respond instantly, often with synthesized answers that bypass traditional web navigation altogether.
For IROs, this shift signals a new reality: the IR website must be designed not just for human readers, but also for the AI systems now shaping investor conversations. (A recent survey shows that 57% of investors already rely on Gen AI for stock analysis.)
Investors and analysts are already asking AI tools direct, conversational questions such as:
The answers are instant, but if your IR website isn’t optimized for AI, they may not come from you. Instead, they could be drawn from media outlets, financial aggregators, or competitor commentary, diluting your ability to guide how your company is represented.
SEO (Search Engine Optimization) was about ranking high in search results.
AEO (Answer Engine Optimization) is about being the source included in AI-generated answers.
This change matters because AI tools don’t just quote, they synthesize. They pull from multiple sources to create a narrative. The challenge for IROs is making sure your official content is the foundation of that synthesis.
Here’s how SEO and AEO compare, especially from an IR perspective:
Practice |
SEO (Traditional Search Optimization) |
AEO (Answer Engine Optimization) |
| Objective | Rank higher in search engine result pages (click-through) | Become the direct answer in Gen AI responses (zero-click) |
Content Strategy |
Keywords, backlinks, metadata, long-form content | Structured Q&A, concise answers, conversational style |
Optimization Tools |
Meta tags, site structure, page speed | Schema markup, FAQ schema, structured data formats |
Measurement |
Rankings, organic traffic, CTR | AI citations, “share of answers,” inclusion in Gen AI responses |
How It Benefits IR |
Drives visits to filings, reports, and investor materials | Ensures Gen AI cites your official narrative in synthesized investor summaries |
When IR websites aren’t optimized for AI, the ability to guide how your company is represented in investor conversations can quickly slip out of your hands.
The risks include:
Optimizing for AI is a steady and consistent process that builds trust over time and ensures your company’s disclosures remain the reference point for investors. By treating AEO as part of ongoing disclosure practice rather than a quick fix, you create long-term visibility and position your IR website as a dependable source in AI-driven conversations.
When IR websites are optimized for AI discovery, the benefits extend beyond visibility. They reinforce the fundamentals of strong investor relations and build lasting trust with the market.
In Part 2, we’ll walk through the AEO playbook for IR websites, with hands-on approaches like schema implementation, FAQ structuring, and content governance tailored for AI capture.
Stay tuned!
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