Why Google, Bing and other search engines’ embrace of generative AI threatens $68 billion SEO industry
Google, Microsoft and others boast that generative artificial intelligence tools like ChatGPT will make searching the internetbetter than ever for users. For example, rather than having to wade through a sea of URLs, users will be able to just get an answer combed from the entire internet.
There are also some concerns with the rise of AI-fueled search engines, such as the opacity over where information comes from, the potential for “hallucinated” answers and copyright issues.
For the past 25 years or so, websites, news outlets, blogs and many others with a URL that wanted to get attention have used search engine optimization, or SEO, to “convince” search engines to share their content as high as possible in the results they provide to readers. This has helped drive traffic to their sites and has also spawned an industry of consultants and marketers who advise on how best to do that.
Someone seeking information online opens her browser, goes to a search engine and types in the relevant keywords. The search engine displays the results, and the user browses through the links displayed in the result listings until she finds the relevant information.
For instance, a news website might hire a consultant to help it highlight key words in headlines and in metadata so that Google and Bing elevate its content when a user searches for the latest information on a flood or political crisis.
How generative AI changes search process
But this all depends on search engines luring tens of millions of users to their websites. And so to earn users’ loyalty and web traffic, search engines must continuously work on their algorithms to improve the quality of their search results.
That’s why, even if it could hurt a part of their revenue stream, search engines have been quick to experiment with generative AI to improve search results. And this could fundamentally change the online search ecosystem.