Marketing for Humans and AI Agents in 2026
Podcast/Substack · YouTube · Article · YouTube
- Core reframe: B2B marketing now must serve two simultaneous audiences — humans (persuasion logic) and AI agents performing vendor research (legibility/verifiability logic). 69% of software buyers chose different vendors based on chatbot recommendations; one-third selected previously unknown companies.
- The “Truth Layer” concept: marketing becomes the steward of claims-evidence mapping, not just communications. Overstated AI capabilities create “trust-debt” that agents surface faster than traditional fact-checking; the AI-washing enforcement wave (SEC class actions) is the downstream consequence.
- “Make More Stuff” trap: AI-driven content velocity is a commodity play that diminishes brand value and misses the structural shift. The strategic response is positioning marketing to touch product strategy, not just production throughput.
- Practical diagnostic: 3 diagnostics for what an AI agent “sees” when evaluating your company — structured, verifiable claims audit before agent-mediated buyers encounter inconsistencies.
- Career signal: assess whether leadership understands the two-audience model before taking a marketing role; reposition marketing careers toward claims-evidence governance rather than content production.