AI Marketing
AI Sales Email Generator for Regulated Outreach
Generate compliant, performance-scored sales and client outreach email at AI speed. A governed agent workflow for regulated teams.
[ Insights & Resources ]
AI‑Powered Marketing Intelligence
Expert perspectives on AI, language, and customer engagement from Persado.
1–12 of 303 articles
AI
You Can't Generate Your Way Out of a Monolith
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.
Financial Services
Why you're getting the wrong Build-vs-Buy call
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.
AI Marketing
Persado is now inside your LLM
The marketing intelligence layer for regulated marketing is now one call away — inside the assistant your team already uses — over the Model Context Protocol.
AI Marketing
Enterprise Generative AI for Email Optimization
Refresh approved email and subject lines for performance without a compliance reset. Enterprise generative AI, validated at generation.
AI Marketing
Performance Content: Marketing Built to Perform, Not Just Read Well
Performance content is engineered to move a measurable outcome — and predicted before it ships. Why generic AI can’t produce it, and what can.
AI Marketing
One-to-One Campaigns for Regulated Brands: 1:1 at Scale Without the Compliance Trade-Off
One-to-one campaigns tailor every lifecycle message by segment in real time — with compliance validated on every variant. How regulated brands do it.
AI Marketing
Agentic AI vs Generative AI: What the Difference Means for Marketing
Agentic AI vs generative AI for marketers: generative AI drafts; agentic AI generates, scores, validates compliance, and acts within guardrails.
Financial Services
The Model Was Never the Moat
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.
AI Marketing
Generative AI vs LLM: Why a Raw Large Language Model Isn't Enough for Regulated Marketing
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.
AI Marketing
The Content Supply Chain Strategy Built for Regulated Marketing
The content supply chain bottleneck for regulated brands isn't drafting — it's review and proven performance. How to fix it.
AI Marketing
GEO vs SEO: What Generative Engine Optimization Means for Regulated Brands
GEO vs SEO explained: how generative engine optimization differs from SEO, and how regulated brands win AI answers without compliance risk.
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