Advocacy intelligence refers to the strategic design, testing, and protection of advocacy signals in environments shaped by algorithms, AI models, and digital platforms. It prioritizes signal durability over attention, and meaning-preservation over virality.
In a world where policy narratives are scraped, filtered, and reframed by AI systems, advocacy must adapt. Without intentional design, key concepts can be erased, misunderstood, or rejected by automated moderation layers.
At the Lab, we use advocacy intelligence as a lens for developing glossaries, simulations, and governance rules that make political intent legible to AI. It's not about persuasion—it’s about protocol authorship.