Growth by Search

Imagine a software buyer asking an AI assistant to compare three tools. Your competitor appears in the answer, with a citation to its comparison page. Your brand appears in a sponsored placement below it. Both brands gained visibility. But they paid for different things, and the buyer may interpret each appearance differently. That is the budget question facing marketing teams now. Generative engine optimization, or GEO, aims to make a brand and its content useful enough to be found, cited, or discussed in AI-generated answers. Paid AI placement buys an advertising opportunity within an AI experience. As these ad products expand, brands need a clearer way to decide where each dollar goes. What are you buying with each approach? GEO is the work of improving the information AI systems can find and use. In practice, that can mean publishing stronger product documentation, answering comparison questions directly, keeping facts consistent across the web, and earning coverage...

A page can rank in the top five, earn steady impressions, and still lose a meaningful share of its expected clicks. The ranking has not necessarily dropped. The page may still be technically sound, well linked, and closely aligned with the query. What changed is the space around it. An AI-generated answer now occupies the most prominent part of the results page. It summarizes the topic, compares several options, and cites a handful of sources. Users can get much of what they need without scrolling to the traditional organic listings. This is the practical problem behind AI SEO. Search optimization is no longer concerned only with where a page ranks. Practitioners must also consider whether their content can be retrieved, interpreted, cited, and trusted by AI-powered search experiences. That does not make traditional SEO obsolete. It changes what visibility looks like and how teams should measure it. What is AI SEO? AI SEO is the practice of improving a website’s visibility ...

For decades, SEO had a simple goal. Rank on page one. Preferably position one. That was the game. You created content, optimized your pages, built authority, and fought your way into one of those familiar organic listings. The famous “10 blue links.” But search is changing. Slowly at first. Then suddenly. The search results page that SEOs built strategies around for years is disappearing. And many websites are still optimizing for a version of Google that no longer exists. The Old Search Experience Was Predictable Years ago, a search result page was simple. A user typed a query. Google returned: Paid ads Around 10 organic results Maybe a few extra features Success was easier to measure. Higher ranking usually meant: More visibility. More clicks. More traffic. SEO strategies naturally focused on moving from position eight to position three, or from position three to position one. Rankings mattered because rankings controlled attention. But attention does not work the same way anymore. S...

Search is no longer just “10 blue links.” With AI-powered search experiences like Google’s AI Overviews, Bing Copilot, Perplexity, and ChatGPT search integrations, the retrieval layer is increasingly blended with a synthesis layer. Instead of ranking pages, search engines now extract, summarize, and reassemble information. For SEO professionals and business owners, this raises a fundamental question: If AI summarizes the web, what happens to traditional SEO ? The answer is not that SEO dies. It evolves. From Ranking Pages to Feeding Models Traditional SEO is built around three core levers: Relevance (content + keyword alignment) Authority (links + brand signals) Technical accessibility (crawlability + indexability) AI search engines still rely on these foundations. The difference is in how outputs are generated . Instead of: Query → Ranked list of pages We now often see: Query → AI summary → Source citations That shift changes optimization priorities in subtle but important ways. 1. Vi...