Imagine launching a paid search campaign with thousands of keywords, only to find that half of them are irrelevant, duplicated, or simply not performing. The data is a mess, the budget is slipping away, and despite the promise of AI tools, the campaign structure feels chaotic. This scenario is all
Marketers keep pouring money into channels they can measure while organic search stays sidelined by dashboards that track clicks but stop short of revenue, and that disconnect has quietly cost teams clarity, collaboration, and real dollars for years. In practice, organic data often lives in a
Imagine a small business, barely scraping by, suddenly seeing a 200% spike in website traffic overnight—all because they picked the right digital ally to boost their online visibility. In today’s hyper-competitive digital world, search engine optimization (SEO) isn’t just a nice-to-have; it’s the
Max Tainer sits down with Anastasia Braitsik, a global leader in SEO, content marketing, and data analytics, to unpack the practical realities of using the Google Ads search terms report. She explains the living difference between “keywords” and “search terms,” digs into how search term match types
Social feeds no longer behave like billboards; they behave like bustling search bars where shoppers type questions, compare options, and follow evidence, and that shift has forced brands to treat TikTok captions, Instagram bios, YouTube chapters, and Pinterest boards with the same care previously
The first wave of AI in marketing promised speed but delivered a new kind of labor—prompting, editing, and fact-checking at scale—while the second wave, driven by agentic systems, is quietly closing that gap by planning, executing, and learning across entire SEO workflows with minimal handholding.
