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
Consumers now type a question and watch an AI compose a confident, conversational answer that compresses research, context, and nuance into a few brisk paragraphs while pushing blue links to the margins. The shift has felt fast because it bundled convenience with comprehension: speed plus synthesis
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
Industry Overview Executives kept asking why countless AI pilots weren’t moving revenue while generative answers quietly rewrote how buyers discovered brands, compared options, and made decisions, and the gap between experimentation and enterprise impact exposed an urgent need to replace isolated
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.
When every shopping spike feels like a sprint, the affiliates who win are the ones who can switch on campaigns fast, capture intent at the right moment, and convert at scale without wrestling clunky tools or vague payouts, and that is exactly the promise under review here. This evaluation looks at
