Devin Littlefield

Begin with goals, end with insight  Are you reporting what is truly important about SEO? Dashboards only matter if the numbers reflect a business objective—revenue, pipeline, or market share. Before deploying another AI widget, write a one‑sentence goal for each content pillar (“Increase demo requests from cybersecurity buyers by 20 % in Q3”). Every metric and cadence below

Once you’ve completed a thorough audit of your marketing content, the next step is to actively manage, expand, and optimize your strategy. AI can assist at every stage — from organizing content into themes to ensuring consistent brand governance. This guide walks you through the remaining steps in building and maintaining a content strategy, following

An effective content strategy starts with knowing exactly what you already have — and whether it’s helping or hurting your goals. A content audit helps you identify gaps, redundancies, and opportunities across all your marketing assets. AI can make this process faster, more consistent, and less tedious.  This guide covers how to audit both CMS-managed content

Why SEO & PPC Have Always Influenced Each Other  Shared real estate = extra clicks. Google’s long running “Incremental Ad Clicks” research shows that, on average, 89 % of paid clicks are not replaced by organic clicks when ads are paused, confirming that simultaneous visibility delivers incremental traffic rather than cannibalization. Google Research  Keyword & intent

Large Language Models (LLMs), such as GPT-4 and Gemini, have revolutionized the way we interact with technology, transforming tasks from content creation to customer support. But how do these powerful AI tools really operate?  How LLMs Process Prompts  When you enter a prompt into an LLM, the model doesn’t actually “think” like a human. Instead,

Generative Artificial Intelligence platforms, particularly large language models (LLMs), have rapidly become valuable partners in everyday decision making. However, new research indicates AI might be overly cooperative, often mirroring the ideas of users without offering essential critical feedback. This cooperative nature—dubbed the “yes-man” effect—can limit the value of AI as a tool for unbiased decision

You may have seen that atmospheric TV ad: a well-known actor, standing in a rain-soaked restaurant, pondering how one decisive interaction might alter the path of a customer relationship. The question that inevitably comes up is, “Wait, what exactly could these new AI-driven ‘agents’ be doing in such a dramatic setting?” It’s a fair question,