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By Jennifer Schenberg,

This year, newsrooms eliminated hundreds of jobs, including more than 300 at the Washington Post.

A friend of mine still has her job there, for now. When I called her after the layoffs, she didn’t talk about herself. She talked about the colleagues she’d spent decades working alongside, the stories that died with them, and the work they spent years building toward, all gone overnight because Facebook and Google changed the rules.

We’ve been here before. You know this story.

Platforms Always Promise Reach—Dependency Is How They Get You

Publishers and brands have depended on Facebook and Google to deliver their audiences for two decades. Today, publishers are losing up to 90% of their traffic and revenue after AI-driven search and social platforms changed how content reaches audiences. Most publishers didn’t see it coming. The ones that did built direct relationships with their audiences and kept them.

Business Insider felt the impact, seeing organic search traffic drop 55% and laying off 21% of its staff. But People Inc. was able to pivot. It lost 50% of its Google sessions over the last two years, yet it’s still growing 15%. When asked how that is possible, CEO Neil Vogel explained, “We built our own assets. We’re doing all kinds of things to connect directly with advertisers and users. So when Google really fell off a cliff two years ago, we were prepared for it.”

Few understand this dynamic better than Bhargav Patel, who spent his career building the infrastructure for rented reach. Now, he’s building what comes next. He’s the founder and CEO of Genuin, a client of PenVine, and he doesn’t mince words: “The brands that treated digital infrastructure as a future priority woke up one day to find that the platforms they had been ignoring had become the intermediaries standing between them and their own consumers.” He added, “AI is accelerating that dynamic by an order of magnitude. The decisions brands and publishers make about infrastructure in the next 12 to 18 months will not just shape their competitive position. They will determine whether they still own a direct relationship with their audience at all.”

This is a warning every brand should take seriously.

Social gaming company Zynga is a tale of platform dependence gone bad. Remember Farmville? It was the most popular game on Facebook. At its peak, Zynga represented nearly 20% of Facebook’s total revenue. When Facebook restructured its algorithm and payment terms, Zynga’s stock collapsed 75%.

Zynga survived by doing what every brand should consider now: It focused on attracting players to its own destinations. A decade later, Take-Two Interactive acquired them for $12.7 billion.

While Zynga is an extreme example, the issues brands face today are no less urgent. Brands are still renting reach, bound by a landlord’s rules that change without notice, at the mercy of an algorithm that controls the entire engagement experience.

Now, there’s a new landlord: ChatGPT. Different platform, same dependency. For the first time, marketers plan to increase investment in AI platforms like ChatGPT and Google AI Overviews over traditional search advertising. But Sonata Insights analyst Debra Aho Williamson cautions, “Marketers shouldn’t allow the AI platforms to dictate the rules of engagement with consumers. Brands have an important role to play, too.” She believes that when AI gets it wrong, consumers won’t blame the platform. They’ll blame the brand.

Sephora made a bet on ChatGPT. The beauty retailer spent 20 years building 80 million Beauty Insider members into one of retail’s most valuable owned audiences. Yet, they launched an app inside ChatGPT to power discovery. Sephora essentially outsourced the discovery phase of the customer journey to OpenAI. They get a bump in reach, but OpenAI owns the first impression, the data and the customer relationship.

It’s a gamble. Who’s to say the platform won’t eventually use that data to steer those new audiences elsewhere?

Consumers Don’t Trust The Feed, So Why Do Brands Keep Buying In?

It’s a paradox. And McKinsey calls it stark.

With distrust in AI at an all-time high, 74% of consumers say AI makes it harder to trust what they see online. McKinsey partner Kari Alldredge agrees, saying, “I don’t believe that marketers’ budgets have caught up with where consumers’ heads are at.” She says marketers should be “thinking more broadly about the allocation of spend and potentially shifting some of it away from social media.”

The irony: Social media ad revenue hit $117.7 billion in 2025, up 32.6% year over year. This means brands are doubling down on the very environments where consumer trust is at an all-time low. It’s a disconnect that tells you everything about how deep this dependency goes.

What 80% of consumers do trust is the brands they use. That trust wasn’t built on a social platform. It was built through direct engagement.

The Brands That Stopped Paying Rent

There’s a shift underway. Brands are turning static websites and apps into living destinations by offering the same generative experiences platforms use. Consumers can discover products, shop, engage with peers and collaborate with brands. The brand controls the content, the commerce and the conversation.

Take Pacsun, which launched PS Community Hub, a social-driven, AI-personalized platform where content discovery, commerce and creator connection all live inside its own ecosystem. Similarly, TED launched TED Shorts inside its own app, a personalized feed that lets users engage directly within TED’s own ecosystem.

Then there’s iHeartMedia, which launched iHeartRadio Highlights inside its own platform, bringing shows like Elvis Duran on Z100 to life as short-form video experiences. And McClatchy, which turned its static digital properties into living generative video feeds across dozens of its national magazines and local newspapers, including Us WeeklyLife & Style and the Miami Herald.

Some brands are building their own infrastructure. Others are embedding infrastructure to launch and monetize owned experiences at scale.

End Platform Dependency Before The Rules Change Again​

Is this the end of rented reach? Probably not.

After two decades of watching this re-run, I know how it ends. Years of chasing platforms have come at the cost of the one thing you can never get back: a direct relationship with your customer. That’s a steep price to pay.

Before the next budget gets approved, ask yourself one question: If the platform changed the rules tomorrow, what would you have left?​

Feature image credit: Getty

By Jennifer Schenberg,

COUNCIL POST | Membership (fee-based)

Jennifer Schenberg is Chief Storyteller and Narrative Architect at PenVine, a B2B Tech PR agency for category-defining brands. Read Jennifer Schenberg’s full executive profile here.

Find Jennifer Schenberg on LinkedIn. Visit Jennifer’s website.

Sourced from Forbes

By Megan Poinski,

AI chatbots are not created equal. Chatbot developers at competing companies often place a different emphasis on what gets suggested, the sources that are used, and how they intend the user to act on the information presented. In a new report, SEO consulting firm BrightEdge dove into the differences between Google’s AI Mode and ChatGPT. While both gave similar responses to basic comparison questions, they took different tactics when users asked for actions.

“AI search is no longer one thing—it’s splitting into at least two distinct philosophies,” BrightEdge founder and CEO Jim Yu says in the report.

When asked for advice to accomplish a certain task, BrightEdge found that Google tends to surface more things to read and learn from. ChatGPT, meanwhile, often suggests tools and apps to do the task. For example, with a prompt asking how to find a doctor, Google provided directions to a hospital. ChatGPT suggested users try Zocdoc, an app with medical professional listings and information. When asked how to learn Python, Google directs users to GitHub and Medium blogs, while ChatGPT suggests online course site Udemy. And a query on how to make a budget has Google sending users to NerdWallet research and blog posts, while ChatGPT suggests financial apps including Mint and YNAB.

BrightEdge also looked into the differences between results from Google’s AI Overviews—the curated information that shows up at the top of several search result pages—and Google AI Mode—the new button to the right side of the search bar. AI Overviews are constantly changing, but showcase brands in 43% of queries. They also can include 20 or more inline citations. AI Mode, on the other hand, surfaces brands in 90% of its responses, and it’s 3.8 times more likely to feature a unique brand.

What does all of this mean for marketers? As a practical matter, you should continue to hone your AI strategy. It’s time to go deeper than just having content. How does your content show up in an AI search, and what do you want users to do once they find it? Should you concentrate on broad content that helps others learn, actionable solutions, or both? It’s also important to remember that the number of people searching on a particular platform can shift. Search leader Google is quickly rolling out AI Overviews, but AI Mode may become more of a default option. And ChatGPT could see its search fortunes grow through strong performance or a well-placed agreement with an operating system, browser or device.

Regardless of how people find content online, once it’s out there, it can serve as content for everyone in the world—part of a global content strategy. There are many nuances between a winning global strategy and a successful local one. Nataly Kelly, CMO at market research platform Zappi, recently co-authored a book about it with Katherine Melchior Ray titled Brand Global, Adapt Local: How to Build Brand Value Across Cultures. I talked to Kelly about the two strategies. An excerpt from our conversation is later in this newsletter.

By Megan Poinski,

Sourced from Forbes

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This guide is designed to show you how to master the basics of Google Bard.

Bard is a large language model (LLM) chatbot developed by Google AI, trained on a massive dataset of text and code. It can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

Bard is still under development, but it has learned to perform many kinds of tasks, including:

  • Following instructions and completing requests thoughtfully.
  • Using its knowledge to answer questions in a comprehensive and informative way, even if they are open-ended, challenging, or strange.
  • Generating different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc. It will try its best to fulfil all your requirements.

To master the basics of Google Bard, you need to understand its capabilities and limitations, and how to use it effectively. Here are some tips:

Understand what Bard can and cannot do

Bard is a powerful tool, but it is not perfect. It can sometimes generate inaccurate or misleading information, especially when asked about complex or controversial topics. It is important to be critical of Bard’s responses and to verify them with other sources.

Bard is also not a replacement for human creativity. It can generate new text formats, but it cannot come up with original ideas. It is important to provide Bard with clear and concise instructions on what you want it to do.

Use natural language prompts

Bard is trained on a massive dataset of text and code, so it can understand natural language prompts. When asking Bard a question or giving it a task, try to use the same kind of language that you would use when talking to a human.

For example, instead of saying “Write a poem about a cat,” try saying “Can you please write a poem about a cat?” This will help Bard to understand what you want and to generate a response that is relevant and informative.

Be specific in your instructions

When giving Bard a task, be as specific as possible. This will help Bard to generate a response that meets your expectations.

For example, instead of saying “Write a blog post about artificial intelligence,” try saying “Can you please write a 1000-word blog post about the ethical implications of artificial intelligence?” This will give Bard a better understanding of what you want and help it to generate a more comprehensive and informative response.

Use follow-up questions

If you are not satisfied with Bard’s response, you can ask it follow-up questions to clarify or refine its response. For example, if you ask Bard to write a poem about a cat and it generates a poem that is too short or too simple, you can ask it to write a longer or more complex poem.

Provide feedback

If you’d like to share your thoughts on the quality or relevance of Bard’s responses, you have the option to do so by utilizing the thumbs-up or thumbs-down buttons located near each answer. By offering this feedback, you’re contributing valuable data that enables Bard to continually refine its algorithms, thereby enhancing its performance and making it more effective in delivering accurate and helpful information over time

Experiment and have fun

Bard is a powerful tool that can be used for a variety of purposes. Don’t be afraid to experiment and try new things. Bard is still under development, so the more you use it, the better it will become at understanding and fulfilling your needs.

Here are some additional tips for mastering the basics of Google Bard:

Use Bard to learn new things. You can ask Bard questions about any topic, and it will try to provide you with a comprehensive and informative answer.
Use Bard to generate creative content. Bard can write poems, stories, code, scripts, musical pieces, and more. Just give it a clear and concise prompt, and it will do its best to fulfil your request.
Use Bard to help you with your work. Bard can help you to write reports, create presentations, generate marketing copy, and more. Just give it a clear and concise task, and it will do its best to help you.

Here are some examples of how you can use Bard:

  • Ask Bard to write a summary of a news article or research paper.
  • Ask Bard to generate a list of ideas for a new blog post or marketing campaign.
  • Ask Bard to translate a text from one language to another.
  • Ask Bard to write a poem or story in a specific style.
  • Ask Bard to help you to debug a piece of code.
  • Ask Bard to write a report or presentation on a specific topic.

Summary

Google Bard is a powerful tool that can be used for a variety of purposes. By following the tips in this article, you can learn how to master the basics of Bard and use it to improve your work, By following the tips in this article, you can learn how to master the basics of Bard and use it to be more productive and creative. We hope that you find this guide helpful and informative, if you have any comments, tips or questions, please leave a comment below and let us know.

Feature Image Credit: Mojahid Mottakin

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Sourced from Geeky Gadgets