Best of LinkedIn: AI in B2B Marketing CW 39/ 40

Generative Engine Optimization emerged as a core lever for visibility in AI answers across ChatGPT, Gemini, and Perplexity

Agentic workflows moved from slideware to real revenue use cases, especially in analytics automation and ecommerce journeys

New platform releases focused on campaign management, video creation, and marketing intelligence, signaling stack consolidation

Synthesia 3.0 added avatar customization and conversational video to accelerate enterprise content creation

A mission-driven Marketing Intelligence Platform introduced agentic capabilities for marketers to automate analytics and insight delivery

Meridian launched a GEO offering to improve brand presence in AI-generated answers

A campaign management product called The Brief debuted, positioning itself as a control center for modern campaign execution

A neuromarketing AI book surfaced brain-based persuasion techniques for go-to-market leaders

Framework guidance emphasized adding Salesforce for tighter CRM integration and data governance across AI workflows

Agentic AI for marketing analytics was showcased at a major cloud vendor’s AI day, underscoring ecosystem alignment

Early experiments using ChatGPT for GEO with Privatemode.ai indicated promising performance

Survey-style insights highlighted the execution gap between GenAI ambition and organization-wide implementation

GEO positioned as “the new SEO” for AI-led discovery, spanning ecommerce and enterprise search touchpoints

Guidance centered on ranking in AI answers, adapting to multimodal and conversational queries, and building a defensible content hook

Strategy shifts urged brands to treat generative engines as primary distribution channels, not downstream amplifiers

Early adopters were advised on first-mover advantages, including solo consultants outpacing larger incumbents

Agentic AI reframed the stack from apps to autonomous workflows across discovery, advertising, and brand engagement

Practical steps recommended starting with basic chat agents before scaling to complex automations

Case examples pointed to hidden pipeline uncovered by agents and evolving agentic patterns in ecommerce

“Persona agents” and role-play GPTs were used to strengthen messaging, objection handling, and content creation

Step-by-step GEO guides outlined how to secure top placement in AI-generated answers

An AI-in-sales playbook mapped efficiency gains along the full B2B journey

Operating model advice stressed connected workflows and adding CRM integration to convert AI outputs into revenue

Budget signals pointed to rising GenAI cloud spend and faster adoption of enterprise tooling

Field notes cited meaningful time savings, higher content velocity, and improved reach without proportional headcount growth

Creators and brands reported campaign-quality outputs at near-zero marginal cost, especially for video and written content

Emphasis on distinguishing model optimization from grounding data clarified where value truly accrues

Platform picks leaned toward unified intelligence layers and orchestration that reduce swivel-chair ops

Generative engines were treated as target platforms requiring content architecture and distribution strategies purpose-built for GEO

Human creativity remains the differentiator; AI scales production but does not replace narrative quality

Maturity varies widely by sector; leaders are consolidating around a focused set of high-yield use cases

Upskilling programs and a product-manager mindset for marketers were recommended to translate AI into outcomes

Authentic client experiences and agile execution models were credited with improving trust and results