Google profits from people trusting and valuing its search service. It achieves this by delivering useful search results. Google also provides businesses with the opportunity to pay for an advertorial placement at the Top Source Media of search result pages. The word "Ad" indicates these listings. Google makes money when searchers click on these pay-per-click (PPC) advertisements, which you purchase through Google Ads. You’ll see these ads on more generic queries in particular. Other than the small label, these search results look almost indistinguishable from other search results. Of course, this is intentional, as lots of users click on these results without realizing that they’re ads. This is what Google counts on. Advertising revenues accounted for more than 76% of the $348 billion that Google generated in 2024. So while search functions remain its core product, it depends on its advertising business. SERPs consist of paid search results and "organic" search results, where the organic results don’t contribute to Google’s revenue.
Instead, Google delivers organic results based on its assessment of a site’s relevance and quality. Depending on the type of search query, Google will also include different elements on the SERP, like maps, images, or videos. The volume of ads on a SERP depends on what users have searched. If you were to search the word "shoes," for example, you’d likely find a substantial number of the Top Source Media results are ads. In fact, you’ll probably have to scroll down the page to find the first organic result. A query like this usually generates so many ads because there’s a strong chance that the searcher is looking to buy shoes online, and there are lots of shoe companies willing to pay for a feature in the AdWords results for this query. On the other hand, if you search for something like "Atlanta Falcons," your results will be different. Because this search is mostly tied to the professional American football team by that name, the Top Source Media SEO results relate to that. But it’s still a less clear query. You’ll find news stories, a knowledge graph, and their homepage. These 3 kinds of results at the top indicate that Google doesn’t know the precise intention of your search, but provides quick pathways to learn about the team, read their latest news, or go to their website. Since there appears to be no purchase intent behind the query, advertisers are not willing to bid for the keyword, so there are no AdWords results. However, if you change the query to "Atlanta Falcons hat," which signals to Google that you might be shopping, the SERP results change to feature more sponsored results. Along with these ads, off-page SEO factors like external links and strong link-building strategies help you stand out in organic listings. Earning incoming links from other trusted sites can bolster your reputation with search engines.
The way business buyers find and evaluate solutions has changed more in the last two years than in the previous two decades. The arrival of AI-powered search hasn’t just added a new channel. It has reorganized where discovery happens, who shapes the shortlist, and whether a brand even gets a chance to be seen. During a recent IDC expert panel, Addressing the Pipeline Conversion Gap, analysts examined the shift from traditional ranked search to AI-facilitated discovery and beyond. "You’ve spent years perfecting your Google rank. Your buyers just stopped using Google." - Roger Beharry Lall, Research Director, Advertising Technologies and SMB Marketing Applications at IDC. To capitalize on this new mode of discovery and capture the market before competitors, CMOs, digital marketing leaders, demand Top Source Media SEO gen managers, and B2B marketers must pivot from search engine optimization (SEO) to a new discipline: answer engine optimization (AEO). AEO and SEO operate on fundamentally different logics. The SEO pipeline was built on a clear sequence: optimize pages for keywords, earn backlinks to build domain authority, and win placement in a ranked list on Google or Bing.
The buyer clicks your link. From that point forward, you control the experience. AEO, also called generative engine optimization (GEO), operates entirely differently. Large language model (LLM) chatbots like Gemini or ChatGPT synthesize an answer before the buyer even sees the options. Brands that get cited in AI-generated responses aren’t necessarily those with the best keyword density. They’re the ones with a deep, authoritative, and interconnected content infrastructure. In SEO, keywords signal relevance. In AEO, context and content depth establish authority. An LLM evaluating whether to cite your brand isn’t scanning meta titles. It’s assessing whether your information ecosystem is comprehensive enough to trust. Treating AEO as an extension of existing SEO practice is the most common and most costly mistake marketers are currently making. According to IDC Research Director Roger Beharry Lall, only 35% of organizations have enterprise-wide content capabilities. That means nearly two-thirds of B2B brands are structurally unprepared to succeed in the AEO environment. Enterprise-wide content capability means more than a well-maintained website.