Expert perspectives on AI, language, and customer engagement from Persado.
Marketing teams are rebuilding the whole AI stack at once. The all-at-once program runs roughly ten times longer, ships nothing until everything is finished, and outgrows what any model can hold in working context. The ambition isn't the problem — the order is.
Every marketing organization is making a build-or-buy call on a dozen AI capabilities at once, and most are making it backwards — building the commodity, then trying to rebuild the accumulated outcomes it took a specialist a decade to earn.
The marketing intelligence layer for regulated marketing is now one call away — inside the assistant your team already uses — over the Model Context Protocol.
Refresh approved email and subject lines for performance without a compliance reset. Enterprise generative AI, validated at generation.
Performance content is engineered to move a measurable outcome — and predicted before it ships. Why generic AI can’t produce it, and what can.
One-to-one campaigns tailor every lifecycle message by segment in real time — with compliance validated on every variant. How regulated brands do it.
Agentic AI vs generative AI for marketers: generative AI drafts; agentic AI generates, scores, validates compliance, and acts within guardrails.
Palantir's Alex Karp says something has gone completely wrong with enterprise AI. He's right — the model was never the moat. The durable advantage is an engineered, domain-trained layer of judgment that remembers, with people in the loop where it counts.
Generative AI vs LLM explained: a raw LLM writes a draft, but regulated marketing needs a system trained on real outcomes and compliant at generation.
The content supply chain bottleneck for regulated brands isn't drafting — it's review and proven performance. How to fix it.
GEO vs SEO explained: how generative engine optimization differs from SEO, and how regulated brands win AI answers without compliance risk.
Generic AI is genuinely good — but good is now the baseline. Why “good enough” AI won’t win at the top of the field.
