Category: AI Strategy

What a Modern AI Marketing Automation Platform Must Do

What a Modern AI Marketing Automation Platform Must Do

Five capability blocks separate a 2026-class marketing automation platform from a 2021 one: AI-tuned content generation, cross-engine benchmarking, machine-readability validation, brand entity governance, and AI-source attribution. Here is each capability broken down and what to demand in a vendor RFP.

How to Rank in Gemini - What Gemini Cites: Sources, Grounding, and the Google Connection (Part 1 of 5)

How to Rank in Gemini - What Gemini Cites: Sources, Grounding, and the Google Connection (Part 1 of 5)

Gemini grounds answers in real-time Google Search plus its training corpus. Knowing what Gemini cites and why is the prerequisite to ranking in it. Part 1 of a five-part series on earning Gemini citations.

AEO vs. GEO - Terminology, Overlap, and When the Distinction Matters (Part 1 of 3)

AEO vs. GEO - Terminology, Overlap, and When the Distinction Matters (Part 1 of 3)

AEO and GEO describe overlapping work, but the distinction still matters when teams choose queries, content formats, and measurement. This article maps the terms without turning them into separate tool budgets.

AI for Measurement - Tracking Brand Visibility Across AI Engines (Part 3 of 3)

AI for Measurement - Tracking Brand Visibility Across AI Engines (Part 3 of 3)

AI visibility cannot be managed with search rankings alone. Part 3 of this three-part series covers citation rate, citation absorption, summary accuracy, and the review cadence that turns AI measurement into content decisions.

AI for Content - Producing Valuable Work, Not Slop (Part 2 of 3)

AI for Content - Producing Valuable Work, Not Slop (Part 2 of 3)

AI content becomes valuable when the brief, sources, edit, and measurement loop are stronger than the model output. Part 2 of this three-part series covers the workflow that keeps AI-assisted content from becoming slop.

How AI Changes the Shape of Marketing Work (Part 1 of 3)

How AI Changes the Shape of Marketing Work (Part 1 of 3)

AI did not remove marketing work. It rearranged it. Part 1 of this three-part series maps what AI can absorb, what humans still own, and why governance became the real operating constraint.

Content Generation for GEO - Briefs That Produce Citable AI-Generated Drafts (Part 1 of 2)

Content Generation for GEO - Briefs That Produce Citable AI-Generated Drafts (Part 1 of 2)

AI content drafts only earn citations when the brief tells the AI what citation goals matter. Part 1 of Content Generation for GEO covers the brief structure that produces citable drafts on the first pass.

Content Generation for GEO - Prompting, Quality Gates, and Scaling (Part 2 of 2)

Content Generation for GEO - Prompting, Quality Gates, and Scaling (Part 2 of 2)

AI-generated content scales when the operation invests in three things: prompting patterns that anchor brand voice, quality gates that catch drift before publish, and role specialization that makes 50+ pieces a month sustainable.

How High-Performing Teams Run a Marketing Automation Platform

How High-Performing Teams Run a Marketing Automation Platform

The best marketing teams do not just own automation software. They run a weekly, monthly, and quarterly operating cadence that turns content, measurement, governance, and AI visibility into one disciplined system.

Why AI Marketing Automation Matters More Now

Why AI Marketing Automation Matters More Now

Marketing automation hit near-universal adoption in 2026. The interesting question is not whether teams are using a platform but whether the platform handles the new work AI-mediated discovery has created.