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WG Day:

Menlo Park, California
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Catherine Deskur

If AI Can’t See It, It Doesn’t Exist: Making GraphQL Discoverable

Peahi
Tooling + DX + Testing + Documentation

Session description

GraphQL's built-in introspection is powerful for developers who already know your API exists, but what about everyone else? As AI-powered search engines and LLMs increasingly mediate how developers discover and evaluate tools, GraphQL APIs face a unique discoverability problem: playgrounds and schema explorers are invisible to search crawlers and generative AI. This talk explores why the GraphQL community needs to rethink documentation as a first-class product concern, not just an interactive schema browser. We'll examine how REST APIs have long benefited from structured, crawlable reference docs and what GraphQL can learn from that playbook. You'll walk away with practical strategies for making your GraphQL APIs discoverable through traditional SEO and generative engine optimization (GEO). This includes learning how to structure content so that both Google and LLMs can surface your API when developers need it the most.


Session speakers

Catherine Deskur

Fern, n/a

Catherine Deskur is a Deployed Engineer at Fern. Her work focuses on developing features to generate best-in-class documentation for GraphQL, REST, and gRPC APIs. She graduated from Harvard University with a Bachelor's in Computer Science. Outside of her work at Fern, Catherine is a classical musician.

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