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  • Home > Insights > August Marketing Updates: AI Transparency Rules Tighten as Search and Social Discovery Evolve

Search, social and AI are becoming increasingly interconnected, and August brought several updates that show how quickly the way businesses are discovered online is changing.

Google is making social search easier to measure, AI-generated content is facing tighter transparency requirements and social platforms are placing greater emphasis on credible, human-led content.

At the same time, changes to AI citations, advertising and website crawlers show that visibility is becoming more fragmented across traditional search, social platforms and AI assistants.

Here are the updates businesses should be paying attention to this month.

 

Search, SEO, AEO & GEO

Google Search Console’s Platform Properties are now available globally, allowing businesses to track how content on Instagram, TikTok, X and YouTube performs across Google Search, Discover and Google News.

This gives brands a clearer view of which social content is driving search visibility and where existing assets could be optimised, refreshed or repurposed. Social content is increasingly part of the wider search journey, not simply a platform engagement channel.

Meanwhile, Google faces new EU requirements to share certain search data with competing search providers, including AI chatbots operating as search services. For businesses, this points towards a more fragmented search landscape where visibility increasingly needs to extend beyond Google alone.

We also saw just how quickly AI citations can change. Promptwatch recorded Reddit’s share of ChatGPT Search citations falling from an average of 3.83% between 18th July and 7th August to 0.52% between 14th and 17th August.

The exact cause remains unclear, but the lesson is useful: businesses should not become dependent on one publisher, platform or community for GEO visibility. Owned content, earned media, social and credible third-party mentions all contribute to a stronger overall presence.

Google also completed its August 2026 Spam Update. If your website experienced ranking changes during the rollout, we recommend reviewing Google’s spam policies before making reactive content changes.

Lastly, Cloudflare is giving website owners more control over AI crawlers by separating traffic into Search, Agent and Training. From September, new domains displaying ads will block Agent and Training crawlers by default while continuing to allow Search crawlers.

Businesses increasingly need to decide not only whether AI can access their content, but how it can use it.

Digital Marketing

Advertising

Google made two changes in August that could affect how businesses measure and optimise paid campaigns:

  • Google is simplifying website measurement: Google has updated Tag Manager to make measurement setup easier to manage. As accurate first-party data becomes increasingly important to automated campaign optimisation, cleaner tagging can improve data quality and give advertising platforms stronger signals for bidding and performance.

  • Target-based bidding is changing for campaigns limited by budget: From 17 August, Google changed how Target CPA and Target ROAS bidding works for campaigns marked “Limited by budget”. Campaigns will now aim to perform more consistently towards their specified targets. Businesses should review historic targets, particularly where campaigns have been outperforming them, as the change could affect spend and performance.

PR

One of August’s stronger PR examples came from Superdrug, Pennies and Oral-B, which have partnered to support Operation Smile UK, a charity providing surgery and ongoing care for children and adults with cleft conditions.

From 12 August to 6 October, customers can donate 20p at Superdrug tills. From 9 September, Superdrug and Procter & Gamble will also donate 20p from every Oral-B product sold in-store and online until the end of the campaign.

The mechanic works because it is simple, low-friction and relevant to the brands involved. Purpose-led partnerships are stronger when audiences can immediately understand why the organisations are working together.

On the other hand, the ASA banned an email advert from fashion brand Jaded London after a highly stylised fashion image featured a model holding a lit cigarette.

The ruling is a useful reminder that compliance risk does not only sit within copy or claims. Styling, props and visual references can communicate messages of their own. A creative execution that looks stylish internally may be interpreted very differently once it reaches the public.

 

AI

New EU AI Act transparency requirements began applying in August. Among the requirements, users must be informed when they are interacting with certain AI systems, deepfakes need to be labelled and some AI-generated or altered content must carry machine-readable markings.

AI transparency is moving from best practice towards regulation, making clear processes around AI use, disclosure and human review increasingly important.

Anthropic is already responding to this changing environment by introducing invisible watermarks into Claude-generated text. The markers are embedded through subtle patterns in word choice rather than visible labels and are being applied globally.

AI-generated content is becoming increasingly traceable. For businesses, that strengthens the case for knowing where AI is being used and maintaining human accountability for anything published externally.

AI in the workplace

Digital

Yelp is licensing reviews, ratings, photos and other business information to OpenAI, allowing ChatGPT to surface that information within local recommendations. This is another indication that AI assistants are becoming part of everyday business discovery.

For local businesses in particular, third-party reputation increasingly matters beyond the platform where a review was originally published. A Yelp review can now become source material for an AI-generated recommendation.

OpenAI ChatGPT

Social Media

August brought several updates that point towards the growing value of human-led content, credible expertise and more meaningful performance metrics:

  • Employee content is influencing product discovery: New Sprout Social research found that 40% of consumers discover a product or service through employee-generated content at least once a month, rising to 61% among Gen Z. For businesses, employee advocacy should go beyond asking staff to repost company news; knowledgeable employees can give brands credible, human voices within their industries.

  • LinkedIn is cracking down on ‘AI slop’: More than one million people used LinkedIn’s new “Seems like AI slop” feature within its first two weeks, while content LinkedIn classifies as AI slop was receiving 40% fewer views than a few weeks earlier. The message isn’t to stop using AI, but to use it to support expertise rather than replace it.

  • Individual LinkedIn profiles are influencing AI visibility: Research from Meltwater and LinkedIn analysing 9.5 million AI citations found that 75% of citations attributed to LinkedIn came from individual profiles rather than company pages. For B2B businesses, visible employees and subject-matter experts increasingly have value beyond social reach; their content may also influence AI-generated answers.

  • YouTube has changed how views are counted: YouTube has standardised its view metric across Shorts, long-form video, podcasts and livestreams, while its previous metric has been renamed “engaged views”. For reporting, engaged views, watch time and retention provide more useful context around whether audiences are actually choosing to consume content.

LinkedIn App

TMC’s Key Takeaways

August’s updates show that search, social and AI are becoming increasingly interconnected, changing how and where businesses are discovered online.

  • Social content can influence search visibility.

  • Employee expertise can contribute to AI discovery.

  • Reviews can become sources for AI recommendations.

  • Businesses are gaining more control over how AI accesses their websites.

  • Platforms are becoming less tolerant of low-value AI content.

  • Regulators are demanding greater transparency around AI use.

The organisations best placed to benefit will not necessarily be those using the most AI tools or producing the greatest volume of content. They will be the businesses building the clearest, most credible and most valued presence across every place their audiences may discover them.

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