#search-engine-problems

#search-engine-problems

When AI tools started taking off, Google faced a serious problem: the risk of its search results being flooded with AI-generated spam. If left unchecked, the world's most-used search engine would lose trust - and with it, revenue. Search drives almost 57% of Alphabet's income, totaling over $198bn annually. And that revenue was at risk. AI spam isn't like old-school SEO spam. It's better written, harder to detect, and convincing enough to fool algorithms.

Worries over whether the changing dynamics of search marketing will affect major brands have finally reached the boardroom. In several earnings calls this month, executives at high-profile advertisers like Airbnb and Expedia fielded questions from analysts over the impact of generative AI chatbots or Google's AI Overviews feature on their businesses. It's a sign that alarm bells are ringing. "It's going to be really tricky for brands to play in this new space," said Daniel Moreno, a senior SEO and GEO consultant at Dept U.K.

For most of the last two decades, SEO mostly meant one thing, where you ranked on Google (and occasionally Bing). The customer journey was familiar. Someone searched, scanned a list of links, clicked and explored. Now the journey is increasingly 'ask, get an answer, take action.' And the platforms shaping that journey include ChatGPT, Claude, Gemini, Perplexity and Google itself, which is inserting AI summaries, what Google calls AI Overviews, into search results.

What happens when the AI companies (inevitably) encounter spam and attempts at SEO/GEO manipulation in the markdown files targeted to bots? What happens when the .md files no longer provide an equivalent experience to what users are seeing? What happens if they continue crawling those pages but actually toss them out before using the content to form a response? ...And we keep conflating "bot crawling activity" with "the bots are using/liking my markdown content?" How will we know if they're actually using the .md files or not?