GEO measurement engine

Vryse tracks how brands show up inside AI answers. Each run sends a brand’s prompts to up to five answer engines, works out which companies the answers actually mention and cite, and turns that into Share of Voice and visibility scores.

I moved the pipeline from in-request code onto durable Trigger.dev runs with idempotent batches and retry budgets, so a partial failure re-queries only the prompts that failed. I built entity resolution that matches mentions by domain, identity tokens and learned aliases, resolved AI Overview and Vertex redirect citations to real publishers, and moved report reads onto a materialised cache.

Along the way: Perplexity’s 429s turned out to be a concurrency ceiling, not a rate limit.