Search is moving into ChatGPT, Claude, Perplexity, and Gemini — and brands have zero visibility into whether AI recommends them. We built the instrument panel.
Client
Our own product — built, run, and sold by Emperor Brains
Engagement
2025 — ongoing
(01)The constraint
A growing share of buying decisions starts with a question to an AI assistant, not a search box. Brands that ranked for a decade on Google discovered they simply do not exist inside AI answers — and had no way to measure it, let alone fix it.
Answer Engine Optimization needed what SEO got twenty years ago: continuous measurement. That means running real prompts against real models, at scale, around the clock — a production AI-agent workload, not a dashboard over someone else’s API.
(02)The build
Sourceable runs monitoring agents against ChatGPT, Claude, Perplexity, and Gemini — tracking mentions, sentiment, and citations for every brand and the competitors it cares about.
Model answers are probabilistic; trends drawn from them must not be. Sampling, scoring, and statistical smoothing turn noisy model output into metrics a marketing team can act on.
The platform maps every lost answer to the content that would win it — what to publish, where the citation gap is, and which prompts moved after a change shipped. 40+ integrations carry the data into the tools teams already use.
(03)The result
4
LLM engines monitored continuously
24/7
agent runs in production — our own AI workload
40+
integrations into marketing and analytics stacks
The takeaway: When we say every AI engagement starts with evaluation criteria, this is why: our own AI product lives or dies by the same discipline.
Visit besourceable.com(04)Contact us
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