What AI Sees, It Shares: If your impact isn't structured, you're invisible - to AI and customers

AI shapes sustainability discovery—structure your data or stay invisible. Earthmark optimises emissions, waste, and supply chain metrics for LLMs to recognise and share.

LLMs as Discovery Gatekeepers

Large language models like ChatGPT and Google AI now mediate brand queries such as "sustainable brands." They scan for clear signals, sidelining vague or buried content. Unstructured data in PDFs or lacking verification simply doesn't surface, even from committed sustainability leaders.

What LLMs Prioritise

Models favour machine-readable formats for emissions, waste, and Scope 3 metrics. Verifiable links to third-party sources trump self-reported claims. Consistent data across reports, sites, and product pages builds reliability. Structured ESG becomes the currency of AI-driven visibility.

Risks of Poor Structure

Vague language, missing benchmarks, or siloed reports mean your impact vanishes from answers customers trust. This isn't technicality—it's the divide between citation and obscurity in an AI-first search world.

Get AI-Ready Now

What AI sees, it amplifies; what it misses, disappears. Future customers find brands through LLMs.

Optimise with Earthmark for structured, verifiable climate data that ranks in AI responses.