Google Discover Adds Social Media Posts & Follow Buttons via @sejournal, @MattGSouthern

Google is updating Discover with two changes that could change how your content finds readers.

You can now follow publishers directly in Discover, and Google will start showing social posts from platforms like X, Instagram, and YouTube Shorts in the feed.

Rollout begins today, with social integrations coming in the weeks ahead.

Layla Amjadi, Senior Director of Product Management for Search, wrote:

“We’re updating Discover to make it even easier to find, follow and engage with the content and creators you care about most. From creators to news publishers, Discover will be a more helpful and personalized jumping-off point for exploring the web.

What’s New Today

Signed-in users can follow publishers and creators right inside Discover.

When someone taps a name in Discover, they’ll see a dedicated space with that source’s content across formats. If they like what they see, they can follow to get more from that source over time.

Here’s an example of a dedicated publisher space in Google Discover:

Screenshot from: : blog.google/products/search/discover-updates-september-2025, September 2025.

Google’s announcement reads:

“Now, you can “follow” publishers or creators right on Discover to see more of their content. You can preview a publisher or creator’s content — including articles, YouTube videos and posts from social channels — before you follow. Just tap their name to find a new, dedicated space for their content.”

Social Posts In Discover

Google Discover will soon begin showing posts from X and Instagram, along with YouTube Shorts, with more platforms planned.

Google’s announcement reads:

“In the coming weeks, you’ll start to see more types of content in Discover from publishers and creators across the web, such as posts from X and Instagram and YouTube Shorts, with more platforms to come. In our research, people told us they enjoyed seeing a mix of content in Discover, including videos and social posts, in addition to articles.”

Here’s an example of an in-feed social media post in Google Discover:

Screenshot from: : blog.google/products/search/discover-updates-september-2025, September 2025.

Why This Matters

If you publish across web + social, your posts could reach Discover audiences without an extra tap into each platform.

The Follow button gives you a direct, opt-in signal that may help stabilize Discover traffic over time.

This follows Google’s preferred sources feature in Top Stories, which lets people pick news outlets they want to see more often for timely queries.

Looking Ahead

The follow button is available starting today for signed-in users. Social posts will appear in the coming weeks as the integration rolls out.

Together, these updates point to more user-directed personalization across Search surfaces.

How To Measure Brand Marketing Efforts (And Prove Their ROI) via @sejournal, @AlliBerry3

Brand marketing is often the silent driver behind successful digital campaigns.

People are far more likely to read, watch, click, and ultimately buy from a brand they already know and trust. That’s why doing the harder, slower work of building a strong brand pays dividends when it comes to performance marketing efforts like SEO and PPC. We know this intuitively.

But proving the impact of brand marketing is much harder. Unlike SEO rankings or PPC conversions, brand-building results are not always immediately visible, which is why these efforts often get under-credited – or worse, neglected altogether – in favor of easier-to-measure tactics. This is a mistake.

Why Brand Marketing Matters More Than Ever

The irony is that large-scale studies repeatedly show brand-related factors at the forefront of digital visibility.

Semrush’s 2025 ranking factor study found that authority, traffic, and backlink signals – closely tied to brand strength – are still among the most important correlating factors for high search rankings.

Similarly, as AI Overviews and large language model (LLM)-powered search expand, brand strength is proving to be the key to visibility. In its 2025 study, Ahrefs found that branded mentions, branded anchors, and branded search volume are the top three factors correlated with AI Overview presence.

All of these point to one conclusion: Brand marketing is increasingly the engine that drives both human trust and algorithmic preference.

The challenge, however, is demonstrating its impact in a way that stakeholders can understand and value. That’s why it’s critical to learn how to measure your brand marketing efforts using both qualitative and quantitative metrics, tied back to clear key performance indicators (KPIs).

The Situation For Digital Marketing Leaders

Consider the role of an in-house SEO director. Your KPIs might look like this:

  • Grow organic traffic by 25% year-over-year.
  • Increase lead generation downloads by 40%.
  • Drive 20% more sales from organic.

But with Google’s AI Overviews cutting click-through rates by more than 34% and users increasingly turning to LLMs for top-of-funnel research, traditional SEO tactics alone won’t get you there.

Instead, your future success depends on brand strength. Stronger brand signals lead to better visibility in AI-driven search results, higher trust with customers, and greater resilience in an evolving digital landscape. That means, even as an SEO professional, your path forward relies on executing and measuring brand marketing strategy effectively – and proving its business impact.

The good news is that as an SEO professional, you’ve likely already got quite a bit of the data you need. It may just require you to repackage some of your efforts. It may also require you to collaborate more with your fellow digital marketers, particularly those in PR, social media, and PPC, to show brand visibility growth more holistically.

Tying Metrics To The Sales Funnel

When it comes to your brand marketing, there are really four categories of efforts:

  • Awareness.
  • Consideration.
  • Conversion.
  • Loyalty & Advocacy.

Ultimately, you are looking to increase your brand strength in every area of the funnel.

You want more people to hear of your brand, which then drives them to search for it to learn more about it.

More brand familiarity and trust should then ultimately lead to more conversions.

And the more customers and followers of the brand you have, the more you would expect to see an increase in loyalty and advocacy.

All of your brand marketing tracking should tie back to one of those four categories. Therefore, the next sections of this article are broken down by stage of the funnel.

Brand Awareness Metrics

Brand awareness metrics help you measure whether your brand is becoming more recognizable in the right contexts. At the top level, awareness is measured by reach and visibility signals: metrics like impressions, social mentions, and share of voice across channels.

On the digital side, you can monitor branded search impressions and clicks in Google Search Console, track direct traffic growth in Google Analytics 4, and use SEO tools like Semrush or Ahrefs to compare your brand’s share of voice against competitors.

These metrics reveal whether people are actively seeking you out and whether brand exposure is translating into traffic.

Equally important are perception-based metrics, which capture how audiences actually recall and recognize your brand.

Brand lift studies and recall surveys ask consumers whether your brand comes to mind within your category – both aided (i.e., Have you heard of [brand]?) and unaided (i.e., What brands come to mind for [category]?). These are especially powerful after large brand campaigns, such as a national TV spot or a major podcast sponsorship, to see if awareness efforts are resonating with the right audience.

Key Awareness Metrics

Metric Tool Examples Frequency
Branded search impressions & clicks Google Search Console Monthly
Branded search volume Google Trends, Semrush, Ahrefs Quarterly
Direct website traffic Google Analytics 4, Adobe Analytics Monthly
Media mentions/external links Semrush, Ahrefs Monthly
Social mentions/share of voice Sprout, Semrush Monthly
Brand recall survey SurveyMonkey, Qualtrics Per campaign
Brand lift study Google Ads Per campaign

It is important that you’re measuring both the quantitative signals of awareness (search, traffic, mentions) and the qualitative signals (surveys, brand lift). Together, these provide a complete picture of how visible and memorable your brand really is.

Consideration Metrics

While awareness tells you whether people recognize your brand, consideration metrics show whether they are actively evaluating your brand as a viable option. This stage of the funnel is all about engagement and intent. We’re looking at signals that potential customers are digging deeper, comparing you against competitors, and gathering the information they need to make a decision.

On your website, key metrics include pages per session, time spent on product or service pages, and return visits to your site, which often indicate research and deeper evaluation. Growth in traffic to product-related pages and increases in branded product queries (i.e., “Brand X running shoes”) are also strong signals that awareness is moving into intent.

Beyond on-site behavior, content downloads such as case studies, whitepapers, or product comparison guides show that audiences are engaging with assets that help them evaluate their choices.

Similarly, a rise in third-party product reviews or mentions on industry forums and social media reflects growing consideration and social proof that others are weighing your brand seriously in the buying process.

Key Consideration Metrics

Metric Tool Examples Recommended Frequency
Pages per session & time on product pages Google Analytics 4, Adobe Analytics Monthly
Traffic growth on product/service pages GA4, Adobe Analytics Monthly
Branded product-related search volume, impressions, and clicks Google Search Console, Semrush, Ahrefs Monthly
Return visits/repeat sessions GA4, Adobe Analytics Monthly
Gated content downloads (case studies, whitepapers, comparisons) GA4 or a third-party like HubSpot Monthly
Product mentions on forums/social media Sprout, Semrush Monthly

By tracking both behavioral signals on your owned channels (site engagement, return visits, content downloads) and external validation (third-party mentions), you build a clear picture of whether your brand is moving beyond recognition and into active consideration.

Conversion Metrics

Conversion metrics show how effectively brand strength translates into tangible business outcomes. At this stage, the focus shifts from evaluation to action.

We’re looking at whether people are requesting demos, signing up for free trials, or making purchases. Strong branding makes these conversions more likely by building the trust and credibility necessary to reduce friction at the decision point.

On your website, look for form fills, demo requests, trial sign-ups, and completed transactions as clear indicators of conversion. Tracking conversion rates from branded search campaigns in Google Ads or measuring pipeline influenced by brand-related traffic in your customer relationship management (CRM) also provides valuable insight.

Additionally, monitoring add-to-cart and checkout completions in GA4 can highlight how often brand equity is driving purchase intent to completion.

Key Conversion Metrics

Metric Tool Examples Recommended Frequency
Add-to-cart & completed transactions GA4, Adobe Analytics Monthly
Demo requests/trial sign-ups CRM Monthly
“Contact us” or lead generation form fills GA4 or CRM Monthly
Conversion rates from branded PPC Google Ads, Microsoft Ads Monthly

Loyalty And Advocacy Metrics

Loyalty and advocacy metrics reveal whether brand strength translates into long-term customer relationships. At this stage, the goal is not just to retain customers but to turn them into advocates who actively promote your brand.

Strong loyalty reduces churn, increases lifetime value, and builds a customer base that supports sustainable growth.

Key metrics here include customer retention rates, repeat purchase behavior, and customer lifetime value (CLV), which quantify how effectively you’re keeping customers over time.

Net Promoter Score (NPS) and customer satisfaction surveys capture how likely customers are to recommend your brand. Monitoring referrals, user-generated content, and social sharing also provides qualitative proof of advocacy.

Review platforms and communities can be another strong signal. Growth in positive product reviews or customers organically defending your brand in forums shows that loyalty has translated into advocacy.

Key Loyalty & Advocacy Metrics

Metric Tool Examples Recommended Frequency
Customer retention rate/churn CRM Quarterly
Customer lifetime value (CLV) CRM Quarterly
Net Promoter Score (NPS) SurveyMonkey, Qualtrics Bi-Annually
Referrals & word-of-mouth Referral programs, HubSpot, GA4 Monthly
Positive review growth & advocacy Google Business Profile, Yelp, Reddit Monthly
User-generated content & social sharing Sprout Social, Hootsuite, Brandwatch Monthly

Turning Metrics Into A Compelling Data Story For Stakeholders

The real value of measuring brand marketing comes not just from tracking the right metrics, but from connecting them into a story that stakeholders can understand.

By aligning awareness, consideration, conversion, and loyalty metrics to the sales funnel, you create a framework that shows how brand-building efforts impact the entire customer journey.

A brand dashboard is one of the most effective tools for communicating this story. Tools like Looker Studio or Power BI will allow you to consolidate signals from multiple sources to present a holistic view of brand health.

Rather than overwhelming leadership with granular reports from different platforms, you’re providing them with a clear line of sight from brand activity to revenue impact. It can look something like: Google Search Console for branded queries, GA4 for site engagement, CRM data for conversions, and social listening tools for sentiment and share of voice.

When sharing results, keep in mind that executives often care less about the technical details and more about the outcomes. Frame your reporting around KPIs tied to growth:

  • Did brand awareness lift lead to more traffic and higher-quality leads?
  • Did stronger consideration metrics translate into more demo requests or trial sign-ups?
  • Did higher loyalty scores reduce churn or drive referrals?

By mapping brand marketing metrics to outcomes stakeholders already value – pipeline growth, revenue impact, and customer retention – you position branding not as a “soft” investment, but as a measurable driver of business performance.

More Resources:


Featured Image: Master1305/Shutterstock

Google Is Hiring An Anti-Scraping Engineering Analyst via @sejournal, @martinibuster

Google is hiring a new anti-scraping czar, whose job will be to analyze search traffic to identify the patterns of search scrapers, assess the impact, and work with engineering teams to develop new anti-scraping models for improving anti-scraping defenses.

Search Results Scraping

SEOs rely on SERP tracking companies to provide search results data for understanding search ranking trends, enabling competitive intelligence, and other keyword-related research and analysis.

Many of these companies conduct massive amounts of automated crawling of Google’s search results to take a snapshot of ranking positions and data related to search features triggered by keyword phrases. This scraping is suspected of causing significant changes to what’s reported in Google Search Console.

In the early days of SEO, there used to be a free keyword data source via Yahoo’s Overture, their PPC service. Many SEOs used to search on Yahoo so often that their searches would unintentionally inflate the keyword volume. Smart SEOs would know better to not optimize for those keyword phrases.

I have suspected that some SEOs may also have intentionally scraped Yahoo’s search results using fake keyword phrases in order to generate keyword volumes for those queries, in order to mislead competitors into optimizing for phantom search queries.

&num=100 Results Parameter

There is a growing suspicion backed by Google Search Console data that search result scraping may have inflated the official keyword impression data and that it may be the reason why Search Console Data appears to show that AI Search results aren’t sending traffic while Google’s internal data shows the opposite.

This suspicion is based on falling keyword impressions that correlate with Google’s recent action to block generating 100 search results with one search query, a technique used by various keyword tracking tools.

Google Anti-Scraping Engineering Analyst

Jamie Indigo posted that Google is looking to hire an Engineering Analyst focused on combatting search scraping.

The responsibilities for the job are:

  • “Investigate and analyze patterns of abuse on Google Search, utilizing data-motivated insights to develop countermeasures and enhance platform security.
    Analyze datasets to identify trends, patterns, and anomalies that may indicate abuse within Google Search.
  • Develop and track metrics to measure scraper impact and the effectiveness of anti-scraping defenses. Collaborate with engineering teams to design, test, and launch new anti-scraper rules, models, and system enhancements.
  • Investigate proof-of-concept attacks and research reports that identify blind spots and guide the engineering team’s development priorities. Evaluate the effectiveness of existing and proposed detection mechanisms, understanding the impact on scrapers and real users.
  • Contribute to the development of signals and features for machine learning models to detect abusive behavior. Develop and maintain threat intelligence on scraper actors, motivations, tactics and the scraper ecosystem.”

What Does It Mean?

There hasn’t been an official statement from Google but it’s fairly apparent that Google may be putting a stop to search results scrapers. This should result in more accurate Search Console data, so that’s a plus.

Featured Image by Shutterstock/DIMAS WINDU

How To Win Brand Visibility in AI Search [Webinar] via @sejournal, @lorenbaker

AIOs, LLMs & the New Rules of SEO

AI Overviews are changing everything.

Your impressions might be up, but the traffic isn’t following. Competitors are showing up in AI search while your brand remains invisible.

How do you measure success when ChatGPT or Gemini doesn’t show traditional rankings? How do you define “winning” in a world where every query can produce a different answer?

Learn the SEO & GEO strategies enterprise brands are using to secure visibility in AI Overviews and large language models.

AI Mode is growing fast. Millions of users are turning to AI engines for answers, and brand visibility is now the single most important metric. 

In this webinar, Tom Capper, Sr. Search Scientist at STAT Search Analytics, will guide you through how enterprise SEOs can adapt, measure, and thrive in this new environment.

You’ll Learn:

  • How verticals and user intents are shifting under AI Overviews and where SERP visibility and traffic opportunities still exist.
  • Practical ways to leverage traditional SEO while optimizing for generative engines.
  • How to bridge the gap between SEO and GEO with actionable strategies for enterprise brands.
  • How to measure success in AI search when impressions and rankings no longer tell the full story.

Register now to gain the latest, data-driven insights on maintaining visibility across AI Overviews, ChatGPT, Gemini, and more.

🛑 Can’t attend live? Sign up anyway, and we’ll send you the recording.

The looming crackdown on AI companionship

As long as there has been AI, there have been people sounding alarms about what it might do to us: rogue superintelligence, mass unemployment, or environmental ruin from data center sprawl. But this week showed that another threat entirely—that of kids forming unhealthy bonds with AI—is the one pulling AI safety out of the academic fringe and into regulators’ crosshairs.

This has been bubbling for a while. Two high-profile lawsuits filed in the last year, against Character.AI and OpenAI, allege that companion-like behavior in their models contributed to the suicides of two teenagers. A study by US nonprofit Common Sense Media, published in July, found that 72% of teenagers have used AI for companionship. Stories in reputable outlets about “AI psychosis” have highlighted how endless conversations with chatbots can lead people down delusional spirals.

It’s hard to overstate the impact of these stories. To the public, they are proof that AI is not merely imperfect, but a technology that’s more harmful than helpful. If you doubted that this outrage would be taken seriously by regulators and companies, three things happened this week that might change your mind.

A California law passes the legislature

On Thursday, the California state legislature passed a first-of-its-kind bill. It would require AI companies to include reminders for users they know to be minors that responses are AI generated. Companies would also need to have a protocol for addressing suicide and self-harm and provide annual reports on instances of suicidal ideation in users’ conversations with their chatbots. It was led by Democratic state senator Steve Padilla, passed with heavy bipartisan support, and now awaits Governor Gavin Newsom’s signature. 

There are reasons to be skeptical of the bill’s impact. It doesn’t specify efforts companies should take to identify which users are minors, and lots of AI companies already include referrals to crisis providers when someone is talking about suicide. (In the case of Adam Raine, one of the teenagers whose survivors are suing, his conversations with ChatGPT before his death included this type of information, but the chatbot allegedly went on to give advice related to suicide anyway.)

Still, it is undoubtedly the most significant of the efforts to rein in companion-like behaviors in AI models, which are in the works in other states too. If the bill becomes law, it would strike a blow to the position OpenAI has taken, which is that “America leads best with clear, nationwide rules, not a patchwork of state or local regulations,” as the company’s chief global affairs officer, Chris Lehane, wrote on LinkedIn last week.

The Federal Trade Commission takes aim

The very same day, the Federal Trade Commission announced an inquiry into seven companies, seeking information about how they develop companion-like characters, monetize engagement, measure and test the impact of their chatbots, and more. The companies are Google, Instagram, Meta, OpenAI, Snap, X, and Character Technologies, the maker of Character.AI.

The White House now wields immense, and potentially illegal, political influence over the agency. In March, President Trump fired its lone Democratic commissioner, Rebecca Slaughter. In July, a federal judge ruled that firing illegal, but last week the US Supreme Court temporarily permitted the firing.

“Protecting kids online is a top priority for the Trump-Vance FTC, and so is fostering innovation in critical sectors of our economy,” said FTC chairman Andrew Ferguson in a press release about the inquiry. 

Right now, it’s just that—an inquiry—but the process might (depending on how public the FTC makes its findings) reveal the inner workings of how the companies build their AI companions to keep users coming back again and again. 

Sam Altman on suicide cases

Also on the same day (a busy day for AI news), Tucker Carlson published an hour-long interview with OpenAI’s CEO, Sam Altman. It covers a lot of ground—Altman’s battle with Elon Musk, OpenAI’s military customers, conspiracy theories about the death of a former employee—but it also includes the most candid comments Altman’s made so far about the cases of suicide following conversations with AI. 

Altman talked about “the tension between user freedom and privacy and protecting vulnerable users” in cases like these. But then he offered up something I hadn’t heard before.

“I think it’d be very reasonable for us to say that in cases of young people talking about suicide seriously, where we cannot get in touch with parents, we do call the authorities,” he said. “That would be a change.”

So where does all this go next? For now, it’s clear that—at least in the case of children harmed by AI companionship—companies’ familiar playbook won’t hold. They can no longer deflect responsibility by leaning on privacy, personalization, or “user choice.” Pressure to take a harder line is mounting from state laws, regulators, and an outraged public.

But what will that look like? Politically, the left and right are now paying attention to AI’s harm to children, but their solutions differ. On the right, the proposed solution aligns with the wave of internet age-verification laws that have now been passed in over 20 states. These are meant to shield kids from adult content while defending “family values.” On the left, it’s the revival of stalled ambitions to hold Big Tech accountable through antitrust and consumer-protection powers. 

Consensus on the problem is easier than agreement on the cure. As it stands, it looks likely we’ll end up with exactly the patchwork of state and local regulations that OpenAI (and plenty of others) have lobbied against. 

For now, it’s down to companies to decide where to draw the lines. They’re having to decide things like: Should chatbots cut off conversations when users spiral toward self-harm, or would that leave some people worse off? Should they be licensed and regulated like therapists, or treated as entertainment products with warnings? The uncertainty stems from a basic contradiction: Companies have built chatbots to act like caring humans, but they’ve postponed developing the standards and accountability we demand of real caregivers. The clock is now running out.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

The Download: regulators are coming for AI companions, and meet our Innovator of 2025

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

The looming crackdown on AI companionship

As long as there has been AI, there have been people sounding alarms about what it might do to us: rogue superintelligence, mass unemployment, or environmental ruin. But another threat entirely—that of kids forming unhealthy bonds with AI—is pulling AI safety out of the academic fringe and into regulators’ crosshairs.

This has been bubbling for a while. Two high-profile lawsuits filed in the last year, against Character.AI and OpenAI, allege that their models contributed to the suicides of two teenagers. A study published in July, found that 72% of teenagers have used AI for companionship. And stories about “AI psychosis” have highlighted how endless conversations with chatbots can lead people down delusional spirals.

It’s hard to overstate the impact of these stories. To the public, they are proof that AI is not merely imperfect, but harmful. If you doubted that this outrage would be taken seriously by regulators and companies, three things happened this week that might change your mind.

—James O’Donnell

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

If you’re interested in reading more about AI companionship, why not check out:

+ AI companions are the final stage of digital addiction—and lawmakers are taking aim. Read the full story.

+ Chatbots are rapidly changing how we connect to each other—and ourselves. We’re never going back. Read the full story.

+ Why GPT-4o’s sudden shutdown last month left people grieving. Read the full story.

+ An AI chatbot told a user how to kill himself—but the company doesn’t want to “censor” it.

+ OpenAI has released its first research into how using ChatGPT affects people’s emotional well-being. But there’s still a lot we don’t know.

Meet the designer of the world’s fastest whole-genome sequencing method

Every year, MIT Technology Review selects one individual whose work we admire to recognize as Innovator of the Year. For 2025, we chose Sneha Goenka, who designed the computations behind the world’s fastest whole-genome sequencing method. Thanks to her work, physicians can now sequence a patient’s genome and diagnose a genetic condition in less than eight hours—an achievement that could transform medical care.

Register here to join an exclusive subscriber-only Roundtable conversation with Goenka, Leilani Battle, assistant professor at the University of Washington, and our editor in chief Mat Honan at 1pm ET on Tuesday September 23.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Childhood vaccination rates are falling across the US
Much of the country no longer has the means to stop the spread of deadly disease. (NBC News)
+ Take a look at the factors driving vaccine hesitancy. (WP $)
+ RFK Jr is appointing more vaccine skeptics to the CDC advisory panel. (Ars Technica)
+ Why US federal health agencies are abandoning mRNA vaccines. (MIT Technology Review)

2 The US and China have reached a TikTok deal 
Beijing says the spin-off version sold to US investors will still use ByteDance’s algorithm. (FT $)
+ But further details are still pretty scarce. (WP $)
+ The deal may have been fueled by China’s desire for Trump to visit the country. (WSJ $)

3 OpenAI is releasing a version of GPT-5 optimized for agentic coding
It’s a direct rival to Anthropic’s Claude Code and Microsoft’s GitHub Copilot. (TechCrunch)
+ OpenAI says it’s been trained on real-world engineering tasks. (VentureBeat)
+ The second wave of AI coding is here. (MIT Technology Review)

4 The FTC is investigating Ticketmaster’s bot-fighting measures 
It’s probing whether the platform is doing enough to prevent illegal automated reselling. (Bloomberg $)

5 Google has created a new privacy-preserving LLM
VaultGemma uses a technique called differential privacy to reduce the amount of data AI holds onto. (Ars Technica)

6 Space tech firms are fighting it out for NATO contracts
Militaries are willing to branch out and strike deals with commercial vendors. (FT $)
+ Why Trump’s “golden dome” missile defense idea is another ripped straight from the movies. (MIT Technology Review)

7 Facebook users are receiving their Cambridge Analytica payouts
Don’t spend it all at once! (The Verge)

8 The future of supercomputing could hinge on moon mining missions
Companies are rushing to buy the moon’s resources before mining has even begun. (WP $)

9 What it’s like living with an AI toy
Featuring unsettling conversations galore. (The Guardian)

10 Anthropic’s staff are obsessed with an albino alligator 🐊
As luck would have it, he just happens to be called Claude. (WSJ $)

Quote of the day

“It’s going to mean more infections, more hospitalizations, more disability and more death.”

—Demetre Daskalakis, former director of the CDC’s National Center for Immunization and Respiratory Diseases, explains the probable outcomes of America’s current vaccine policy jumble, the BBC reports.

One more thing

Robots are bringing new life to extinct species

In the last few years, paleontologists have developed a new trick for turning back time and studying prehistoric animals: building experimental robotic models of them.

In the absence of a living specimen, scientists say, an ambling, flying, swimming, or slithering automaton is the next best thing for studying the behavior of extinct organisms. Here are four examples of robots that are shedding light on creatures of yore.

—Shi En Kim

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ New York City is full of natural life, if you know where to look.
+ This photo of Jim Morrison enjoying a beer for breakfast is the epitome of rock ‘n’ roll.
+ How to age like a champion athlete.
+ Would you dare drive the world’s most narrow car?

De-risking investment in AI agents

Automation has become a defining force in the customer experience. Between the chatbots that answer our questions and the recommendation systems that shape our choices, AI-driven tools are now embedded in nearly every interaction. But the latest wave of so-called “agentic AI”—systems that can plan, act, and adapt toward a defined goal—promises to push automation even further.

“Every single person that I’ve spoken to has at least spoken to some sort of GenAI bot on their phones. They expect experiences to be not scripted. It’s almost like we’re not improving customer experience, we’re getting to the point of what customers expect customer experience to be,” says vice president of product management at NICE, Neeraj Verma.

For businesses, the potential is transformative: AI agents that can handle complex service interactions, support employees in real time, and scale seamlessly as customer demands shift. But the move from scripted, deterministic flows to non-deterministic, generative systems brings new challenges. How can you test something that doesn’t always respond the same way twice? How can you balance safety and flexibility when giving an AI system access to core infrastructure? And how can you manage cost, transparency, and ethical risk while still pursuing meaningful returns?

These solutions will determine how, and how quickly, companies embrace the next era of customer experience technology.

Verma argues that the story of customer experience automation over the past decade has been one of shifting expectations—from rigid, deterministic flows to flexible, generative systems. Along the way, businesses have had to rethink how they mitigate risk, implement guardrails, and measure success. The future, Verma suggests, belongs to organizations that focus on outcome-oriented design: tools that work transparently, safely, and at scale.

“I believe that the big winners are going to be the use case companies, the applied AI companies,” says Verma.

Watch the webcast now.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

Can Writing a Book Grow Your Business?

In a Publishers Weekly article last fall, tech entrepreneur and author Uri Levine says “writing, publishing, marketing, and promoting the book… are somewhat similar to building a startup.”

That’s no surprise. Entrepreneurs and authors have a lot in common: They believe in an idea and want to reach people willing to pay for it. Writing a book, like building an ecommerce business, is risky, requiring vision, dedication, management, and attention to detail. Most startups fold within five years, and only about 4% of books sell more than 1,000 copies.

Even so, a book could reach a large audience, have a lasting impact, and create opportunities such as consulting, speaking, teaching, and new partnerships. Bill Morrison, a real estate salesman turned bestselling author, told Forbes, “I’m the same guy with the same tie, but now everyone is paying attention.”

Considerations

If you’ve considered writing a book, here are a few questions to consider before taking the (time-consuming) plunge.

  • What is your objective? Are you looking to enhance your reputation, make an impact, generate leads, appear on podcasts, launch a speaking career, or establish yourself as an influencer and thought leader? Is your goal realistic?
  • Who are your target prospects? Do you have a clear picture of an “ideal reader” for your book? You can’t write for everyone the same way, or market your book effectively, until you’ve identified the prospects and where to find them.
  • How will your book be different? Are there other successful books on your topic? What will make your book stand out? What makes your perspective unique and valuable?
  • How will your book benefit readers? What problem will your book solve? Will it change how readers think, or empower them to do something they couldn’t before? Will they feel inspired?
  • Is your topic date-sensitive or evergreen? The answer will likely guide your approach to writing, publishing, and marketing. Does success require quick publication while a trend is still hot?
  • How much time and money will you invest? Are your budget and capacity in line with the goals? Expect to spend at least several months and a few thousand dollars for idea development, writing, editing, publishing, and marketing, even for a short, self-published ebook with a niche audience. A more ambitious project can take a year or more to write; freelance editing, design, and publicity (plus printing and distribution services) may require several months and cost $10,000 to $50,000. Traditional publishers can take longer and often require authors to do most of the marketing.

Josh Bernoff is a serial business-book author and consultant. In an April 2025 post, he stated the key reasons business books fail are unclear goals and audience focus, little differentiation from competing titles, and no marketing. To succeed, he says, authors must define their objectives and audience, invest in editorial quality, and market strategically. In other words, treat your book just like a business.

Ashley Bernardi, a media relations specialist for authors, agrees. She told a Forbes writer, “The most successful authors think like business people. There is a strategy behind the book, multiple revenue streams, and the author is the best marketing weapon. Not the publisher, not the PR firm, and not the agent, but the author.”

Author Survey

What could a book do for you?

In 2024, a group of four author-service firms, including Josh Bernoff’s, surveyed “350 authors and prospective authors, of which 301 had published a nonfiction book. Two-thirds of them had published multiple books.”

The results, published as the “Business Book ROI Study” in a PDF, found that 89% of respondents said writing a book was a good decision, and nearly two-thirds reported profitability, despite many having spent more and sold less than they expected.

About a third increased their speaking and consulting earnings, and almost one in five had more than $250,000 in book-related revenues. Other benefits included growth in credibility, personal brands, and social media followings.

Finally, there are many ways to repurpose content from a book into articles, graphics, videos, case studies, or excerpts for use in promoting yourself and your business.

YouTube Monetization Updates Across Long-Form, Shorts, & Live via @sejournal, @MattGSouthern

YouTube has announced a suite of monetization updates designed to help creators diversify their revenue streams.

Key updates include dynamic sponsorship for long-form videos, brand linking in Shorts, AI-powered product tagging for Shopping, and side-by-side live ads.

The updates come as YouTube revealed it paid out over $100 billion to creators, artists, and media companies globally over the past four years.

What’s New

Dynamic Sponsorship

YouTube is introducing a new way for creators to manage sponsorships in their videos.

Creators will soon be able to dynamically add brand segments to their content, rather than having to permanently embed them.

YouTube’s announcement reads:

“This new format enables you to remove the sponsorship when the deal is complete, resell the slot to another brand or eventually sell the same slot to multiple brands in different markets — transforming your videos into living assets to grow your business. Creators can choose the perfect moment to insert the branded segment, and will see detailed performance insights directly in YouTube Studio, which can also be shared with the brand.”

Testing starts with a small group early next year.

Shorts Links

YouTube is adding the ability to link directly to a sponsor’s website from Shorts.

YouTube states:

“For Shorts creators, they’ll soon be able to add a link to a brand’s site specifically for brand deals. This will make it easier for viewers to discover and buy products, while giving creators a powerful way to drive results for brand partners.”

Shopping

YouTube Shopping is getting a series of updates to improve the shopping experience for both creators and viewers.

The platform is adding automatic timestamps that show when products are available in videos, making it simpler for viewers to find and buy featured items.

YouTube is also automating product selection in Merchant Center, which reduces the manual work creators have to do to tag and link products to their content.

YouTube’s announcement reads:

“We know tagging products can be time-consuming, so to make the experience better for creators, we’re leaning on an AI-powered system to identify the optimal moment a product is mentioned and automatically display the product tag at that time, capturing viewer interest when it’s highest. We’ll also begin testing the ability to automatically identify and tag all eligible products mentioned in your video later this year.”

These updates are planned for later this year.

Live Streaming

Live streaming, which draws more than 30 percent of YouTube’s daily logged-in viewers, according to company data, is getting new features to help creators earn more money.

YouTube is rolling out live ads that show up next to streams, rather than interrupting them.

YouTube’s announcement reads:

“The new side-by-side ads are a less intrusive format for viewers, while helping creators get paid without pulling their audience away.

YouTube is also introducing a feature that lets live streams transition directly to member communities and channel memberships.

The company adds:

… We’re rolling out a new feature that allows channel membership creators to easily transition from public to members-only livestreams, without disruption. This makes it easy to create premium, members-only content, while strengthening your community and attracting new paid members.

Why This Matters

These updates are a move toward giving creators more control over how they make money from their content, while also giving brands more ways to partner with them.

By opening up new revenue streams beyond traditional pre-roll and mid-roll ads, YouTube is equipping creators with tools that could make the platform more attractive for full-time publishing.