PepsiCo has overhauled its sustainability reporting to be readable by AI chatbots, shifting from lengthy PDFs to structured webpages and regular updates.
The company now publishes data in a format that AI systems can more easily parse and incorporate into their answers to users.
What happened
PepsiCo's sustainability team has restructured how it publishes environmental and social data, moving away from lengthy PDFs toward webpages and regular updates on its ESG Topics A-Z site. The 2025 ESG summary PDF is now 20 pages, less than half the length of the 2024 version, with information redirected to the A-Z pages covering agriculture, environmental impact, and other topics.
Why it matters
AI chatbots like ChatGPT and Claude increasingly consume online information to answer user questions, but they struggle to navigate PDFs compared to webpages. PepsiCo's shift acknowledges that AI bots are now significant 'readers' of corporate sustainability data—and that getting information into AI systems accurately may matter more than driving web traffic directly to company pages.
What to watch
PepsiCo is using clear formatting (section headings, bullet points, timestamps) and rolling out updates on a modular basis—for example, refreshing its water-use page ahead of World Water Week—rather than releasing information in periodic batches. The company's leaders say success means the correct information appears in AI services, whether on a company webpage or in a Claude response.
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PepsiCo's shift reflects a broader change in how companies must think about their online presence in an AI-driven information landscape. Traditionally, corporate sustainability reporting has been designed first for human audiences and regulatory compliance, bundled into comprehensive annual documents. But as AI systems become the primary intermediary through which users discover and consume information, companies face a new constraint: their data must be machine-readable in ways that PDFs often are not.
The company's approach—shorter documents, modular updates, clear structural formatting, and timestamps—addresses the technical limitations of how AI models ingest and parse web content. By updating its water-use data ahead of World Water Week, PepsiCo also suggests it is timing releases to anticipated spikes in AI queries on specific topics. Dan Strechay's observation that traditional reporting creates "a huge avalanche of information" that "gets lost" points to a practical problem: all-at-once disclosure may have worked when human readers were the main audience, but it overwhelms AI systems tasked with surfacing the most relevant and current information.
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