Search isn’t dead, but Google isn't the only tool that peoplea re using anymore And the path between someone asking a question and finding the right expert has changed.
For years, search worked through a fairly simple model: someone typed a query into Google, Google ranked a list of webpages, and the goal of SEO was to earn a high enough position to get the click.
That still happens. But it’s no longer the whole system.
Google AI Overviews, ChatGPT, Gemini, Perplexity, and other AI-mediated search tools can now interpret questions, retrieve information from multiple sources, compare what they find, and synthesize an answer before someone ever visits a website.
That changes what experts need to make visible.
In this episode, Meg Casebolt, founder of Love At First Search, explains how modern search is moving beyond page rankings and keyword-first content strategy toward a system that also has to understand the source behind the information: who you are, what you know, what you’re known for, and whether there is enough evidence to trust and recommend you.
You’ll hear about why AI did not suddenly replace search when ChatGPT launched, how individual ideas can be retrieved from webpages and synthesized into larger answers, why Meg no longer starts content strategy with keyword volume, and why expert ideas need to be stated explicitly enough for both humans and machines to understand.
Meg also explores how zero-click search changes measurement. Rankings and traffic still matter, but they no longer tell the entire story. Citations, mentions, branded searches, recognition, trust, and recommendation are becoming part of the discoverability picture too.
The takeaway: modern search is no longer only about getting a webpage to rank. It’s about making your expertise understandable enough to retrieve, credible enough to trust, and clear enough to recommend.
Go deeper
For more on AI discoverability and how search systems evaluate information and expertise:
