• Social media platforms are drowning in AI-generated content – guess which platform has the most?
• AI models can misdirect potential visitors about local business addresses, but there’s a way to fix it.
• Ads using AI will now be clearly marked on the Google network, weeks after labels came to YouTube.
• It’s about to get a little bit easier for businesses to deploy their YouTube video ads in a strategic way.
• Not all customers like chatbots, but there are new ways to optimize them for your brand’s needs.

AI-Generated Content Is Flooding Social Media, Research Shows

AI-generated content is nothing new, but its reach continues to increase. Social media is particularly vulnerable to low-quality AI-generated content, and some platforms get more of it than others. New research suggests that online professional network LinkedIn has it worst. About 41% of that platform’s long-form posts are made by AI.

Other platforms have their own challenges:

• Medium: 31% of long-form content is AI.
• Twitter: 29% of long-form content is AI.
• Reddit: 13% of long-form content is AI.
• Substack: 10% of long-form content is AI.

What does it mean? Naturally, more AI-generated content means authentic, human-centered content has to work harder to get seen. The thing to watch out for is whether platforms get a bad reputation for AI “slop.” If posts on certain platforms are seen as mostly inauthentic, that can shape how your brand is received there.

AI Models Often Provide Incorrect Address Information in Tests

Interesting news from across the pond: Nearly two-thirds of AI models provide incorrect address information for retailers in the United Kingdom. While that doesn’t prove the same issue is as widespread in the U.S., it’s a sign that business owners should be proactive in contributing to the data hygiene around their brand.

What does it mean? While some AI platforms curate information from a limited number of reliable sources – like Google AI, which depends on Google Business Profile for address data – others can get confused by their wider catalog of information sources. It’s time to go back to basics and “Google yourself.” That is, ask AI about your own business, root through the data sources it provides, and update any that are out of date.

AI Transparency Has Arrived on Google Ads

A movement toward AI transparency is gaining strength across the internet. Overall, consumers and companies alike are responding differently to the challenges posed by AI than they did when it came to unwanted tracking or spam email: Many of the top AI companies are taking proactive steps, and customers are watching closely.

One of those moves came from Google as it announced new disclosure requirements that require advertisers to specify when they have used AI tools to create an ad. Categories affected include all Search, YouTube, and Discover ads throughout the Google ecosystem. Disclosure is a one-click process for advertisers, and it can also be handled automatically.

What does it mean? For right now, the impact of AI disclosures on most businesses will probably be limited – but your digital marketing team should keep a close eye on ad performance going forward. There is a chance the “AI-generated” label will have a negative impact on ads, and missed disclosures may have consequences.

YouTube Ads Will Become More Targeted and Strategic

Speaking of Google’s ad networks, YouTube ads can be a terrific digital marketing tool for companies that want to leverage the power of video. YouTube ads have the potential to be highly effective because they can provide content similar to what a user was just watching at the very moment they’re thinking about a topic.

It will now be possible to target YouTube ads even more precisely by using video campaign groups. These ad groups represent related campaigns with shared reach or frequency goals, but maintain individual campaign budgets, settings, and creative. Unified reporting will further clarify your marketing ROI.

What does it mean? Video campaign groups create a way to make YouTube ads more efficient by helping your digital marketing team learn which ads are making the biggest impact on common goals across campaigns.

Facebook Makes It Easier to Get Value from Business Chatbots

Meta platforms, including Facebook, WhatsApp, and Instagram, will soon provide greater clarity on chatbot performance. New KPIs, including AI conversions, contact with intent to buy, and containment rate, provide performance data directly related to chatbot usage. That said, developing a strategy for AI platform visibility still matters because customers are more likely to trust third-party AI tools than proprietary chatbots.

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