Are you becoming more wary of liking or sharing posts on social media, due to concerns that it could be AI-generated and you could look like a chump as a result?

One of the potential side effects of the rapid rise of AI-generated content online is that it is also impacting sharing activity, due to questions about the authenticity of the visuals being presented. No one don’t wants to be that person, sharing clips that everyone else sees as clearly AI, which is likely making some users more skeptical  and more hesitant to forward things that could be fake.

Which is why this latest update to Google’s Gemini app could be helpful.

Google is rolling out a new option that will enable users to check if a video was edited or created with Google AI directly in the Gemini app.

As explained by Google:

“Simply upload a video and ask something like, ‘Was this generated using Google AI?’ Gemini will scan for the imperceptible SynthID watermark across both the audio and visual tracks and use its own reasoning to return a response that gives you context and specifies which segments contain elements generated using Google AI.”

The tool will then let you know if SynthID markers were detected.

Google’s SynthID embeds invisible digital watermarks into all AI-generated images, audio, text and video that have been created in Google’s AI tools. Google’s working to make this a standard, and has partnered with Nvidia to further expand SynthID watermarking in other AI tools, though it’s not in broad use as yet, only in Google’s own AI tools.

Other AI platforms, including Midjourney, OpenAI and Meta, have adopted alternative standards, like C2PA instead, which will essentially facilitate the same purpose, and could become a more universal AI ID tool.

But SynthID is another way to track AI use, and it could enable more transparency across AI depictions.

So now, you can put images into Gemini and get verification around their authenticity, while various C2PA detection options are also in development.

It’s a good update for AI disclosure, and with more and more people growing more wary of what they’re seeing online, it will offer more verification and assurance.

Google’s SynthID detection is now available in Gemini for files up to 100 MB and 90 seconds long.

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Pinterest is adding a new way to nudge users towards potentially relevant products in the app, with AI-powered recommendations now being added into your Pinterest board display, highlighting items that you might like, based on your usage and saved Pin history.

As you can see in these examples, Pinterest’s new AI-recommended board additions will give you customized prompts for items that are similar to products that you’ve already saved or shown interest in.

The recommendations will come in two new forms:

• That “Make it yours” element will display fashion and some home decor product recommendations, based on your existing saved Pins, giving you more item options to consider
• The “More ideas” breakout will provide recommended related Pins for all other board categories, including beauty, recipes and art.
• Your existing saved Pins will be kept in the “All saves” tab, so you can refer to the products and Pins that you’ve tagged as you scroll through the app.

So now, every time you save a Pin, that’ll be adding to your AI-powered recommendations algorithm, which will then help Pinterest show you more relevant products and ideas, based on your interests.

Of course, the relevance and value of such will be dependent on just how well the AI system matches up your interests. Which is not always easy, with visual matches not always aligning with product preferences, while the influx of generative AI Pins could also muddy the waters in this respect.

But it could be a valuable discovery element, which might take some of the work out of you having to scroll through the app to find relevant, interesting products.

And in the U.S. and Canada, Pinterest is also experimenting with “Styled for you” AI-powered collages, created from fashion Pins that users have saved to their boards.

As you can see in this example, with this new option, users will be able to swap out different items within a custom “Styled for you” collage to see how different products match up and fit.

Finally, Pinterest is also testing “Boards made for you,” which are personalized trend displays “curated using a combination of editorial expertise and AI-powered recommendations.”

As per Pinterest:

“These boards will be delivered directly to users’ home feeds and inboxes, providing engaging and shoppable content, including trending styles and weekly outfit inspiration. This feature will start rolling out in the next few months in the US and Canada.”

So a range of new AI recommendation tools, which could help to customize and personalize the Pinterest experience. And with 578 million monthly users, who primarily come to the app with high purchase intent, these new recommendations could help to drive more shopping activity, and make Pinterest a more engaging discovery tool.

The question then is: “How can brands ensure that their products are highlighted in these AI recommendations?”

I guess, the main focus would be to ensure that you’ve listed all of your inventory in the app, by connecting your product catalog to your Pin feed.

That would then ensure that users are shown relevant items based on their interests, while you can also stay in touch with Pinterest trends to help you link into the latest styling shifts.

Pinterest says that all users will start seeing these new features over the next few months.

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Meta is making some changes to its Marketing API, which are designed to ensure that it’s able to maximize ad results via its Advantage+ targeting tools, and explore additional opportunities for your promotions.

First off, Meta’s rolling out a new feature within placements that will allocate 5% of your ad spend to your excluded placements, when it’s likely that they’ll see good performance.

So now, if you exclude certain ad placements (e.g. Facebook Feed, Threads feed, right-hand column, IG Explore), Meta’s system will retain the option to allocate a small amount of your ad spend to those options, if its system thinks that they might drive better results.

As explained by Meta:

“For Marketing API advertisers: Allowing limited spend to specific placements is not automatically enabled when excluding placements. To apply limited spend to specific placements, you must explicitly use the new API endpoints to designate which placements should have spend restrictions. All placement exclusions and limited spend settings must be managed through the API, and changes can be made at any time by updating your API configuration.”

So, a bit technical, but basically, Meta’s saying that when you’re creating your ads via third-party platforms and tools, it will now give its systems more flexibility to try out alternative placements, even if you don’t think they’ll be of benefit.

So if you want to exclude feed placements entirely, but Meta’s system determines that they could be effective, it’ll retain the flexibility to show your promotions in feed in a limited capacity, which could then help to show you how these options can also drive results.

Meta further notes that Advantage+ placements are its recommended option for most advertisers, in order to maximize ad performance.

“This approach reviews all available placements to find the most cost-effective opportunities for every impression, helping you reach more people for less. However, if you can’t use Advantage+ placements and need to manually exclude certain placements, we recommend using this new feature. It’s a smarter alternative to blocking placements entirely, giving you more flexibility and potentially better performance.”

Essentially, Meta’s saying that its ad placement process is getting smarter at showing your ads where they’ll drive the best results, even if you don’t think those placements will work. So now, Meta’s system will retain the option to at least test alternatives to your exclusions, as it looks to highlight the best options.

On a related front, Meta’s also deprecating legacy APIs that don’t utilize Advantage+ setup, in order to ensure that all ad campaigns are able to utilize the power of its evolving AI targeting tools.

“Following the launch of the streamlined Advantage+ experience for sales and app objectives in V23.0 of the Marketing API and the planned deprecation of the Advantage Shopping Campaigns (ASC) and Advantage App Campaign (AAC) APIs for campaign creation in MAPI V25.0 (Q1 2026), we are launching Advantage+ Migrations to support developers in transitioning legacy ASC/AAC campaigns into the new Advantage+ structure.”

Yeah, that’s a bit of a mouthful, but the explanation here relates to the further integration of Meta’s evolving AI targeting capacity, which will ensure that all ad campaigns are able to utilize Meta’s latest tools in this respect.

“From V24.0 (8th October), we will no longer allow new ASC/AAC campaigns to be created using the legacy ASC/AAC APIs. Developers may revert to previous MAPI versions (i.e., v23.0 or less) to continue using or editing legacy ASC/AAC APIs, however we highly recommend that developers start creating and using Advantage+ campaigns.”

In summary, Meta’s now looking to make Advantage+ a bigger focus, and a more critical consideration for all advertisers, as it continues to improve its AI-powered ad tools.

Which should lead to better results, and now, Meta’s systems will have more capacity to experiment with and highlight such through sampling.

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