Web giant Google has been beta testing an artificially intelligent new version of its AdSense platform, called Auto Ads, and the new version is now publicly available for all AdSense customers. AdSense is already mostly automated in the sense that ads within each category are curated automatically, but Auto Ads also automates the placement and number of ads on a web page. Setting up Auto Ads is easy; all you have to do is go into your AdSense settings and enable them, choose the categories and formats you're willing to show on your webpage, then paste in the resulting HTML code somewhere on your site. You can even choose to have new formats automatically added over time. Tracking Auto Ads performance is done in the same way as it's done with normal ads.
Auto Ads don't seem to work all that differently from normal page-level ads, for the most part; Google has even automatically transitioned most page-level ads users over to the new platform. The biggest difference with Auto Ads is that Google hands over responsibility for ad content, format, number, frequency, and placement to an AI program. In beta tests with ad publishers, this change normally resulted in about 10% more revenue across the board. This is, of course, an average; transitioning to Auto Ads likely won't make your ad revenue jump up by 10% overnight, but it can help to make your ads more fitting to the content, and more visually appealing to users. For most use cases, ad revenue is driven by clicks more than views, so when ads are visually appealing, they're more likely to get those clicks. On a similar note, ads that are better-placed and in a more welcome format are less likely to annoy and drive away users. Auto ads can also take page content into account in order to help avoid placing too many ads or ads in a high-usage format on an already frantic page, helping to keep viewers' experiences on a page smooth.
Auto Ads is yet another product of Google's push to fit AI into just about every facet of its product lineup. This particular iteration uses machine learning to figure out what types and placements of ads do and don't get results based on the content of a given page, then use that information to optimize ad placement, format, and other factors on a per-page basis. This means, much like any other consumer-facing AI product, the more people use Auto Ads, the better it will get at figuring out how to do its job.