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How to Make Your Experts “AI-Ready"
AI is changing how people discover expertise. Today, journalists, event organizers, researchers, and the public increasingly turn to tools like ChatGPT, Claude, Perplexity, and Google Search’s AI summaries powered by Gemini. Instead of clicking through pages of links, they expect clear, credible answers—often delivered instantly, with citations. That shift has major implications for organizations. It’s no longer enough for your experts to “rank well.” They need to be understood, trusted, and accurately represented by AI systems. So the real question becomes: When AI talks about your experts, does it get it right? This is where LLMs.txt plays an important role—especially when paired with an ExpertFile-powered Expert Center. What is LLMs.txt (In Plain English)? ...and why is it essential for expert content LLMs.txt is a small, machine-readable file placed on your organization’s website—in the case of your expert content alongside your main Expert Center. Its purpose is simple: to explain your expertise to AI systems clearly and unambiguously. “AI systems don’t just scan for keywords; they look for clear meaning, consistent context, and clean formatting — precise, structured language makes it easier for AI to classify your content as relevant.” Microsoft: Optimizing Your Content for Inclusion in AI Search Answers Rather than forcing AI to infer meaning from scattered pages, LLMs.txt explicitly tells systems: Who your experts are Which pages represent official, curated content How expert profiles differ from articles, Q&A, or research content How your organization’s expertise should be interpreted as a whole Think of it as a table of contents and usage guide for AI —helping large language models understand your site the way a communications professional would. Why This Matters for Visibility and Trust It Establishes Your Organization as the Source of Truth AI systems routinely synthesize information from multiple places. Without guidance, they may rely on outdated bios, scraped content, or secondary references. LLMs.txt provides a clear signal: This is our official expert content. This is what represents us. For ExpertFile clients, this matters because the platform already centralizes and curates expert content—from profiles and directories to Spotlights and Expert Q&A—ensuring that what AI sees is current, governed, and institutionally endorsed. The result: Greater accuracy, stronger attribution, and reduced risk of misrepresentation when your experts appear in the ever growing AI-generated overviews and answer. ahrefs: AI Overviews Have Doubled How It Improves Discovery Across AI Platforms It Makes Structured Expertise Easier for AI to Use ExpertFile is purpose-built to publish structured expert content at scale—content that goes well beyond static bios. LLMs.txt simply helps AI recognize and use that structure correctly. It clarifies the role of key ExpertFile content types, including: Expert Profiles → Canonical identity, credentials, and areas of expertise Spotlight Posts → Timely commentary, thought leadership, and research insights Expert Q&A → Authoritative answers to real-world questions Directories, Research Bureaus, and Speakers Bureaus → Curated collections of expertise by topic or audience This makes it easier for AI systems to: Match your experts to breaking news and trending topics Pull accurate summaries for AI-generated responses Identify the right expert for journalists, event organizers, and researchers Combined with ExpertFile’s extended distribution through expertfile.com and the ExpertFile Mobile App, your expertise is not only published—but actively discoverable across channels used by key audiences . How It Builds Organizational Authority It Connects Individual Experts to Institutional Credibility Without context, AI may treat expert pages as isolated profiles. LLMs.txt helps connect the dots. It tells AI that: Your experts are curated and endorsed by the organization Their insights are part of a broader expertise ecosystem Your institution has depth across priority subject areas This aligns closely with how ExpertFile structures content to support E-E-A-T (Experience, Expertise, Authority, Trust)—not just at the individual level, but across the organization . The outcome: Your organization is recognized not just as a collection of experts, but as an authoritative source of knowledge. How It Works with Google, Gemini, and AI Search Supports AI Summaries, Citations, and Knowledge Panels LLMs.txt helps ensure that when Google’s AI: Summarizes your organization Cites expert commentary Builds “about this topic” panels …it draws from your official, structured ExpertFile content, rather than fragmented third-party sources. This complements ExpertFile’s existing SEO and AI-discoverability foundation, which includes clean code, proper meta data, schema markup, and frequent crawling by both search engines and AI bots. How LLMS.txt Fits with SEO, Meta Tags, and Schema LLMS.txt doesn’t replace SEO—it builds on it. Traditional SEO elements such as page titles, meta descriptions, schema.org markup, and internal linking remain essential for helping search engines index and rank your content. ExpertFile already delivers these fundamentals out of the box, continually testing and evolving SEO and GEO (Generative Engine Optimization) standards as search changes . “Semantic SEO helps search engines understand context... it now helps bridge a critical gap between traditional SEO and newer generative engine optimization (GEO) and AI optimization (AIO) efforts.” Search Engine Land: Semantic SEO: How to optimize for meaning over keywords LLMS.txt adds a layer designed specifically for AI systems: Schema explains individual pages LLMs.txt explains your entire expertise ecosystem In simple terms: SEO helps your content get found LLMs.txt helps AI understand, summarize, and cite it correctly Together, they ensure your experts are not only visible—but accurately represented wherever AI is shaping discovery. Why This Is Especially Powerful on ExpertFile ExpertFile was designed to future-proof expert visibility—offering structured publishing, governance, distribution, inquiry management, analytics, and professional services as part of a continuously evolving SaaS platform . LLMS.txt acts as a multiplier on that foundation: Turning your Expert Center into a machine-readable expertise hub Strengthening AI discovery without adding operational burden Supporting emerging use cases like automated expert matching and AI-assisted research It’s not about chasing new technology. It’s about ensuring your expertise is clearly defined, properly attributed, and trusted—now and in the future. The Takeaway An LLMs.txt file on your ExpertFile organization page helps ensure that: Your experts are found by AI tools, not overlooked Your content is interpreted correctly, not flattened or misrepresented Your organization earns authority and trust in AI summaries, citations, and search results “AI search isn’t eliminating organic traffic. But it is reducing visits to source websites… Measure presence (citations, mentions) alongside traffic to see real impact.” Semrush: AI Search Trends for 2026 & How You Can Adapt As AI becomes the front door to information, LLMs.txt helps make sure that when people ask for expertise, your organization is the answer they get.
“Give Me My Phone Back!”: Why Parent–Teen Phone Fights Miss the Real Problem
If it feels like every other night ends with “Give me my phone back!” you’re not alone. A recent Pew Research Center report found that about 4 in 10 teens and parents (38%) say they argue about phone time, and nearly half of parents admit they spend too much time on their own phones. Executive Function Coach Craig Selinger, M.S., CCC-SLP says those blow-ups often miss the real issue. “If you want behavior change in kids, start with the parent model,” he says. “It starts at the top: kids are watching how you use tech.” He notes that conflict usually shows up in the “in-between” moments — after school, in the car, at breakfast — when a phone becomes an invisible wall between parents and kids. “Those little moments are actually big moments,” Selinger explains. “If you can pull out tech during those kind of banal, whatever moments, that’s when kids start talking to you.” Research shows the stakes go beyond eye-rolling. A 2025 CDC analysis of U.S. teenagers found that higher non-school screen time is linked with irregular sleep, less physical activity, more depression and anxiety symptoms, and weaker social support.(CDC) And yet, many families don’t have clear, consistent rules: Springtide Research Institute’s 2024 survey of 13-year-olds found that only about half say their parents limit screen time, but when limits exist, teens are less likely to be heavy users and report slightly better mental health.(Springtide Research Institute) For Selinger, the takeaway is simple: filters and confiscation can’t replace family systems. What works better: Parents go first. Phones out of bedrooms at night, off the table at meals, and away during key “micro-moments” sends a stronger signal than any lecture. Agree on the rules together. Teens are far more likely to respect boundaries they helped design, for example, “no phones at dinner and after 11 p.m. on school nights” than rules dropped on them mid-argument. Link boundaries to what teens care about. Sleep, sports, grades, mood and friendships are all directly affected by late-night and all-day screen time; making that connection reduces the sense that rules are “random.” Instead of asking “How do I make my teen stop?” Offline.now’s experts encourage parents to ask, “What are we modelling and what shared routines would actually make life better for everyone in the house?” Featured Experts Craig Selinger, M.S., CCC-SLP – Executive Function Coach, CEO of Themba Tutors and child development specialist. He focuses on how phones reshape learning, sleep and family dynamics, and helps families build “digital sunset” routines and mealtime/bedroom rules that stick.
As Disney’s “Zootopia 2” barrels toward becoming the highest-grossing animated Disney movie of all-time, the box office isn’t the only place fans of the franchise are apparently flocking. Recently, CNN reported that “Zootopia 2” fans in China—where the wildly popular movie has already been crowned it’s highest-grossing foreign animated film ever—have expressed increased interest in owning Indonesian pit vipers, a striking blue and highly venomous snake portrayed as an anthropomorphic protagonist named Gary De’Snake in the film. The outlet spoke to individuals who purchased the animal after seeing “Zootopia 2” and noted surges in searches and prices among exotic pet retailers. The reported phenomenon prompts the question: can blockbuster movies really be drivers of the exotic pet trade? “I think they can,” said Ryan Almeida, PhD, an assistant teaching professor of Geography and the Environment at Villanova University who studies the exotic pet trade. “There have been a lot of anecdotal reports of movies and TV shows influencing the pet trade, but the peer-reviewed evidence isn’t there.” Causation or Correlation? Reasons for Pet Demand are Tricky to Single Out While the increased interest in the pit viper may be the latest pet trend influenced by the entertainment industry, it is certainly not the first, says Dr. Almeida, who has recently been conducting research at wildlife expos in an effort to understand more of the intricacies of various pet-related trends. In the 1980-90s, red-eared slider turtles became massively popular pets, and it just so happened to coincide with a popular new show based off the animal. “The Teenage Mutant Ninja Turtles craze, especially in the United Kingdom, probably helped drive demand for these turtles as pets,” Dr. Almeida said. “Turtle exports from the United States exploded in popularity during this time, there just is a not a peer-reviewed study demonstrating it was definitely caused by the show.” In the 2000’s, Pixar’s “Finding Nemo” and its sequel, “Finding Dory,” reportedly bolstered purchases of clownfish and blue tangs—the fish for whom those characters were modeled. Interest in owning owls as pets was also said to have spiked among Harry Potter fans in certain parts of the world amid the height of the joint movie/book popularity. Though much of the evidence of these trends is anecdotal, anecdotal doesn’t necessarily mean it didn’t happen. For instance, it’s difficult to completely discredit an exotic pet retailer who reported a 500% sales increase of an animal featured in a recent, very popular movie. But it’s also difficult to prove the causation, not to mention the scale. Dr. Almeida, who is interested in the qualities that make exotic pets desirous to consumers, says that even if sales of an animal from a movie did increase, the reasons are likely far more nuanced than just their appearance on screen. “Rarity is one important factor. We have good evidence that that certain [consumers] care a lot about rarity, that prices rise as animals become rarer and that retailers sell more animals if they are rare.” Another is morphology, or the physical structure of the animal. “Animals with unique morphology or distinctive colorations and patterns are more susceptible for these spikes in demand,” he said. “If Gary De’Snake was a brown, common garter snake and not a striking blue colored viper, I doubt we would see this attention. “I suspect that that's partially why this snake species, Trimeresurus insularis, was chosen for this movie, and why the fish representing Nemo and Dory are the ones they are, and not one of the millions of more boring looking fish species out there.” Even the on-screen portrayal, he suspects, makes a difference. “If the characters are protagonists, that could potentially either consciously or subconsciously, lead to more positive associations with the pet, especially for something like a pit viper, which probably has sort of a negative connotation to go with it in the first place. Also, the way these animals are anthropomorphized likely matters to some degree to people who report buying these animals because of the movie.” Case in point, one purchaser of the highly venomous viper told CNN that the movie helped give “reptile pets a better image,” saying of Gary De’Snake “I love his enthusiastic attitude and his sense of responsibility,” which would not be qualities associated with or displayed by the actual living species. “Attention to all of this falls in line with the same sort of things we are already know are drivers of demand in the pet trade,” Dr. Almeida said. Blockbuster Movies Probably Don’t Make Blockbuster Pet Trends Yet, while Dr. Almeida cedes that there is likely some degree of real demand for exotic pets based on movies (as evidenced by the self-reporting of people doing so for that reason), he cautions that there is very little to suggest these types of trends typically occur on large scales, especially those large enough to make any ecological impacts. He referenced a 2019 paper published by researchers at the University of Oxford, which looked at the purported increase of clownfish and blue tang sales after “Finding Nemo” and “Finding Dory.” “They found that there was an increase in the amount of people searching for the animal online, but not any evidence that retailers were importing more blue tangs, consumers were buying more blue tangs, or even that people were going to an aquarium to see them.” The findings, per the University of Oxford, suggested “that the impact of movies is limited when it comes to large scale buying of animals.” The authors also noted the role of viral media articles in suggesting this plausible causation was a hard-and-true phenomenon. Similarly, a 2017 study concluded that, contrary to popular belief, the Harry Potter series was unlikely to have increased demand for pet owls in the United Kingdom. Even if the demand was there at those larger scales, Dr. Almeida says meeting that demand could be a challenge, depending on the species. “You’d potentially have to poach them in large numbers from the wild, and that's challenging in and of itself. Or they would have to be captive bred, which for some animals is relatively easy but others not so much.” Not to mention the other roadblocks to mass exotic pet ownership. “Some of them may be tough to obtain or even illegal to own in the first place. Also, many of the consumers of films like ‘Zootopia 2’ who might feel a strong emotional pull to an animal are children, and children aren’t the ones going out and buying pets. And, even if something like this did become a large-scale trend, trends are fleeting. The long-term impact, ecologically, would be hard to predict.” But make no mistake. Pet trends certainly do happen on large scales, and whether they are caused by movies in part or not at all, they can have dire ecological consequences. Look at the case of the red eared slider. “Regardless of any possible influence from the show, these turtles are relatively easy to captive breed, so therefore relatively easy to acquire,” Dr. Almeida said. “But they are tough pets. They live a really long time and are kind of hard to care for, and that leads to people releasing them into the wild. They are now among the most invasive reptile species on the planet.” So much so, that the UK banned their sale in 1996. “It ties back to the complications of assessing certain aspects of the wildlife trade. There are so many factors, how do we get the entire picture? It’s a wicked problem.” Whether that problem includes movies with venomous, anthropomorphic snake protagonists appears unlikely, outside of a few highlighted cases. “It certainly wouldn’t be supported by much hard evidence… yet,” Dr. Almeida said. “But this is very much an under-researched phenomenon. I know I’ll keep my eye out for blue insularis next time I attend a pet expo.”
When Betting Goes Mobile: The Hidden Cost to Young Adults’ Finances
As online gambling and sports betting surge across the United States, concerns are mounting about the financial and social consequences—particularly for young people. Dr. Jared Pincin, Associate Professor of Economics at Cedarville University, offers journalists a data-driven economic lens on how the rapid expansion of digital gambling is reshaping personal finances and increasing financial risk among younger Americans. What's Happening Mobile betting apps have transformed gambling into an always-available activity, accessible anywhere and at any time. With aggressive marketing tied to professional and collegiate sports, online gambling has become normalized—especially among young adults. As participation rises, so do reports of debt, financial instability, and problem gambling, raising questions about consumer protection, regulation, and long-term economic impact. Dr. Jared Pincin primary research interests explore the intersection of public choice economics with foreign aid as well as issues in sports economics. Pincin has published in popular publications such as The Hill, Real Clear Markets, Foxnews.com, and USA Today and scholarly journals such as Oxford Development Studies, Applied Economic Letters, and the Journal of Sport and Social Issues. View his profile here Key Insights Online Gambling Is Built for Continuous Spending Modern gambling platforms are designed to encourage repeated engagement. Gamified interfaces, instant wagers, and constant prompts make it easy for users to lose track of spending, increasing the likelihood of financial loss over time. Young Adults Face Elevated Risk Young people, particularly college-age students and adults in their twenties, are among the fastest-growing users of online betting platforms. Limited financial experience, combined with easy credit access and social pressure, makes this group especially vulnerable to poor financial outcomes. Personal Finances Are Directly Impacted Gambling losses often come at the expense of savings, rent, tuition, and long-term financial planning. Dr. Pincin emphasizes that gambling platforms generate profit only when users lose, making sustained participation a negative-sum financial activity for individuals. Economic Incentives Drive Expansion From an economic standpoint, gambling growth is fueled by state revenue incentives and private profit motives. Dr. Pincin helps explain how these incentives can conflict with consumer well-being, particularly when regulatory safeguards lag behind technological innovation. About Jared Pincin Dr. Jared Pincin is an Associate Professor of Economics at Cedarville University. He holds a Ph.D. in economics and specializes in public choice, behavioral economics, and sports economics. His work examines how incentives shape individual decision-making and how policy choices affect financial outcomes at both the personal and societal levels. Let Us Help with Your Coverage Jared Pincin can assist reporters by: Explaining why online gambling participation has risen so quickly among young people Breaking down the economic mechanics of betting platforms and personal financial risk Providing context on the long-term financial consequences of habitual gambling Contributing expert insight to stories on regulation, advertising, and consumer protection Why This Matters As gambling becomes increasingly embedded in American culture, its financial consequences are no longer limited to isolated cases. Understanding how online gambling affects young people’s financial stability is essential for informed public reporting. Dr. Pincin offers clear, accessible analysis that helps audiences understand the economic realities behind the headlines.
Researchers warn of rise in AI-created non-consensual explicit images
A team of researchers, including Kevin Butler, Ph.D., a professor in the Department of Computer and Information Science and Engineering at the University of Florida, is sounding the alarm on a disturbing trend in artificial intelligence: the rapid rise of AI-generated sexually explicit images created without the subject’s consent. With funding from the National Science Foundation, Butler and colleagues from UF, Georgetown University and the University of Washington investigated a growing class of tools that allow users to generate realistic nude images from uploaded photos — tools that require little skill, cost virtually nothing and are largely unregulated. “Anybody can do this,” said Butler, director of the Florida Institute for Cybersecurity Research. “It’s done on the web, often anonymously, and there’s no meaningful enforcement of age or consent.” The team has coined the term SNEACI, short for synthetic non-consensual explicit AI-created imagery, to define this new category of abuse. The acronym, pronounced “sneaky,” highlights the secretive and deceptive nature of the practice. “SNEACI really typifies the fact that a lot of these are made without the knowledge of the potential victim and often in very sneaky ways,” said Patrick Traynor, a professor and associate chair of research in UF's Department of Computer and Information Science and Engineering and co-author of the paper. In their study, which will be presented at the upcoming USENIX Security Symposium this summer, the researchers conducted a systematic analysis of 20 AI “nudification” websites. These platforms allow users to upload an image, manipulate clothing, body shape and pose, and generate a sexually explicit photo — usually in seconds. Unlike traditional tools like Photoshop, these AI services remove nearly all barriers to entry, Butler said. “Photoshop requires skill, time and money,” he said. “These AI application websites are fast, cheap — from free to as little as six cents per image — and don’t require any expertise.” According to the team’s review, women are disproportionately targeted, but the technology can be used on anyone, including children. While the researchers did not test tools with images of minors due to legal and ethical constraints, they found “no technical safeguards preventing someone from doing so.” Only seven of the 20 sites they examined included terms of service that require image subjects to be over 18, and even fewer enforced any kind of user age verification. “Even when sites asked users to confirm they were over 18, there was no real validation,” Butler said. “It’s an unregulated environment.” The platforms operate with little transparency, using cryptocurrency for payments and hosting on mainstream cloud providers. Seven of the sites studied used Amazon Web Services, and 12 were supported by Cloudflare — legitimate services that inadvertently support these operations. “There’s a misconception that this kind of content lives on the dark web,” Butler said. “In reality, many of these tools are hosted on reputable platforms.” Butler’s team also found little to no information about how the sites store or use the generated images. “We couldn’t find out what the generators are doing with the images once they’re created” he said. “It doesn’t appear that any of this information is deleted.” High-profile cases have already brought attention to the issue. Celebrities such as Taylor Swift and Melania Trump have reportedly been victims of AI-generated non-consensual explicit images. Earlier this year, Trump voiced support for the Take It Down Act, which targets these types of abuses and was signed into law this week by President Donald Trump. But the impact extends beyond the famous. Butler cited a case in South Florida where a city councilwoman stepped down after fake explicit images of her — created using AI — were circulated online. “These images aren’t just created for amusement,” Butler said. “They’re used to embarrass, humiliate and even extort victims. The mental health toll can be devastating.” The researchers emphasized that the technology enabling these abuses was originally developed for beneficial purposes — such as enhancing computer vision or supporting academic research — and is often shared openly in the AI community. “There’s an emerging conversation in the machine learning community about whether some of these tools should be restricted,” Butler said. “We need to rethink how open-source technologies are shared and used.” Butler said the published paper — authored by student Cassidy Gibson, who was advised by Butler and Traynor and received her doctorate degree this month — is just the first step in their deeper investigation into the world of AI-powered nudification tools and an extension of the work they are doing at the Center for Privacy and Security for Marginalized Populations, or PRISM, an NSF-funded center housed at the UF Herbert Wertheim College of Engineering. Butler and Gibson recently met with U.S. Congresswoman Kat Cammack for a roundtable discussion on the growing spread of non-consensual imagery online. In a newsletter to constituents, Cammack, who serves on the House Energy and Commerce Committee, called the issue a major priority. She emphasized the need to understand how these images are created and their impact on the mental health of children, teens and adults, calling it “paramount to putting an end to this dangerous trend.” "As lawmakers take a closer look at these technologies, we want to give them technical insights that can help shape smarter regulation and push for more accountability from those involved," said Butler. “Our goal is to use our skills as cybersecurity researchers to address real-world problems and help people.”
The Ads are Coming ! OpenAI is testing ads inside ChatGPT starting this month.
But there's a catch: You can’t just buy your way in ChatGPT will soon include “clearly labeled sponsored listings” at the bottom of AI-generated responses. And while the mock-ups don't appear all that sophisticated, it's important to focus on the bigger picture. We're about to see a new wave of 'high-intent advertising' that combines the targeting sophistication of social media with the purchase-intent clarity of search advertising. More on that in a moment. How Do ChatGPT Ads Work? Starting later this month, free users of the ChatGPT platform and those under 18 will begin receiving Ads at the bottom of their screens. First, they will see ChatGPT's answer to their question, which provides a comprehensive, relevant response that builds trust. Then they will see an ad for a sponsored product/service below. An ad that suddenly doesn't feel like a blunt interruption. It feels like a natural next step. This is premium placement. The user has already received value. They've been educated. And now there's a clear call to action (CTA) that's in context. Open AI has stated that their new Ads “support a broader effort to make powerful AI accessible to more people.” Translation: As they approach 1 billion weekly users across 171 countries using ChatGPT for free, OpenAI needs to offset its astronomical burn rate with ads. Makes sense. This New Era of Conversational Ads Will be Complicated But there's a structural difference with these new ads. OpenAI has stated that ads will only appear when they're relevant to that exact conversation. This means you can't just buy your way into ChatGPT Ads. In fact, with ChatGPT you are being selected because you're the right answer the user needs at that time. Put another way: When ChatGPT evaluates which sponsored products to show, it will favor brands with demonstrated authority on the topic. So unlike traditional paid search, where a higher bid gets you ranked in sponsored results, ChatGPT Ads will reward the brands whose content has already been recognized as authoritative by the AI model. Brands with strong organic visibility, topical expertise, and content that aligns with user intent will have a distinct competitive advantage from day one. Brands without that foundation will be paying premium rates to compete with established authorities. How ChatGPT's Ad Strategy is Set to Change Digital Marketing For years, CMOs have treated organic search and paid search as separate budget lines, often managed by different teams. I saw this firsthand, as I helped my client DoubleClick launch it’s first Ad Exchange network in the US market. Programmatic exchanges brought a new efficiency to digital ad buying. It was a very groovy time. This feels very different. Why? Because, the conventional wisdom has always been that paid search and ads drive immediate results while organic search plays the long game. In 2026, that strategy isn’t completely obsolete. But that type of thinking is about to get a lot more expensive for clients if they don't start to appreciate quality "organic" content and its ability to improve their paid advertising ROI. Now organic and paid need to get along, to get ahead. ChatGPT Ads Are Looking for Topical Authority that Experts Can Demonstrate When ChatGPT evaluates which sponsored products to show, it will favor brands with demonstrated authority on the topic. Brands won't simply be able to "buy" visibility. OpenAI in its announcements, has been explicit: ads must be relevant to the conversation. Relevance is determined by topical alignment, not budget. A brand spending millions on generic bidding will lose to a smaller competitor whose product is more precisely aligned with what the user actually asked. The ads aren't live yet. But the infrastructure supporting them is. Open AI, Google and many of the other generative search platforms are building very sophisticated systems that track topical authority and content quality signals. They're already reshaping how organic search, AI recommendations, and paid advertising work together. Topical Relevance + Expert Authority is the Path to Visibility in Search Investing in well-developed thought leadership programs generates compound returns. You get the organic search results plus an improvement in your paid search metrics in Generative AI search platforms. When done right, you build authority for AI citations, which then positions you better for ChatGPT ads. Remember, your organic traffic gains are built on authoritative content. They're built on being the answer that search engines and AI systems select. And once you've built that authority, it works everywhere—traditional search, AI Overviews, ChatGPT, and soon… ChatGPT ads. What To Do Before AI Ad Networks Start to Scale The early advantage will go to brands that invest in quality content right now. Organizations that invest in expert-authored, intent-aligned content over the next six months will have more AI citation visibility from Google Overviews and similar LLM's like ChatGPT. That means more trust signals, making paid ads more effective when they run. Content that is aligned with user intent: Answers a specific question. Not tangentially, not after 2,000 words of context. The answer appears in the opening paragraph, structured for AI extraction. Includes expert perspective. Generic information that could come from anywhere doesn't differentiate you. Expert insight, original research, or proprietary frameworks do. Demonstrates topical authority. A single authoritative article matters less than a cluster of related content that shows comprehensive expertise on a topic. Is structured for scanning. Clear headings (H2, H3), bullet points, tables, Q&A blocks. This structure helps both human readers and AI systems parse meaning. Remember, the brands that get the most value out of ChatGPT Ads will be the ones that built intent-aligned content years before the ads launched. They'll have topical clusters, expert perspectives, and the authority signals that make them the natural choice for sponsorship. Questions CMO’s Should Be Asking their Teams Now to Prepare for ChatGPT Ads Q. Can I pre-purchase Chat GPT Ads? As of today, there are currently no ads in ChatGPT. Open AI has announced that they will begin internal testing ads in ChatGPT later this month for Free users in the US market. Q. Do Ads influence the answers ChatGPT gives you? What about privacy? Open AI in their release states that answers are optimized based on what's most helpful to you. Ads are always separated and clearly labeled from Answers. They also state that they keep your conversations private from advertisers and will never sell your data to advertisers. Q. How do we audit our site content to ensure we're aligned with user intent? For your top 20-30 decision-stage queries (the ones that drive revenue), here's a quick test. Does the content directly answer the question in the opening paragraph? Are you including question-and-answer formats in your content? If you're burying the answer in a 3,000-word article full of tangents, you're losing visibility in organic search, and you're already failing in ChatGPT's environment. Restructure. Q. How do we prepare for ChatGPT Advertising Opportunities? Build topical authority through content clusters. Don't publish isolated blog posts. Organize your content around core topics your audience cares about. Create a long-form hub article that comprehensively covers the topic, then develop additional linked articles that dive into sub-topics and questions. Link them together. This structure helps AI systems over time, recognize your brand as authoritative on that topic, which improves both organic rankings and AI citation rates. Q. Can we still get traction with content that is not authored by experts? Generic AI-written content won't differentiate you. Get expert voices into your content. Feature your subject-matter experts, partner with practitioners, and customers to contribute original insights, case studies, or frameworks. AI systems can detect authenticity, and original expert perspectives is now a ranking signal. This is especially critical as you prepare for ChatGPT ads. OpenAI has prioritized conversations that cite authoritative sources. Q. How does content need to be structured for citations? Implement proper schema markup and structured data. AI systems extract information by parsing content structure. If your pages include proper schema markup (FAQPage, HowTo, Review, Product schema), you're making it easier for AI to pull your content into answers. This increases citation rates, which builds authority before ChatGPT ads scale. Q. How do we allocate our organic and paid programs? Own the organic + paid intersection. For your highest-intent topics, if you have a budget, invest in both organic visibility and paid campaigns. Run ads targeting the same keywords where you rank organically. This takes up more real estate on the results page and signals authority. It also gives you direct feedback on keyword performance, messaging, and landing page effectiveness—data that informs your organic content strategy and drives more citations - a virtuous cycle. Q. What types of creative will work best in these new Ad products? Until they roll out, it's unwise to make too many predictions. The safe bet here is to prepare your team for conversational advertising. ChatGPT ads won't reward traditional ad copy. They'll reward clarity, specificity, and direct value messaging. If you're used to brand-heavy, aspirational creative, this will feel foreign. Start testing conversationally-appropriate messaging now. Short, clear, problem-focused. Test on existing paid channels and refine before ChatGPT ads launch. Our Prediction When ChatGPT ads fully launch and scale, many brands that have invested in organic visibility and content quality will start to pull away from the pack. Remember…The brands that win won't be the ones with the biggest ad budgets. They'll be the ones whose content has already proven they're the right answer. They'll be the ones users already trust, already cite, and already know. The ads are coming. Are you ready?
As tensions escalate over the possibility of the United States seeking control of Greenland — including threats of annexation that have drawn international backlash — seasoned international relations expert Glen Duerr, Ph.D. offers critical context for journalists reporting on the diplomatic, legal, and geopolitical dimensions of this unfolding crisis. What's Happening In early 2026, high-level rhetoric from U.S. political figures has revived debates about Greenland’s status as a strategic territory. What began as discussions of acquisition has evolved into broad international concern over sovereignty, alliance cohesion, and Arctic security. Denmark and Greenland have reaffirmed their commitment to autonomy, while NATO allies and the European Union warn that any forceful move by the U.S. could undermine alliance unity and violate international norms — raising profound questions about territorial integrity, international law, and the politics of national interest. Dr. Glen Deurr's teaching and research interests include nationalism and secession, comparative politics, international relations theory, sports and politics, and Christianity and politics. View his profile here How Dr. Glen Duerr Can Help Journalists Cover This Story 1. Understanding Strategic National Interests Dr. Duerr’s expertise in international relations provides journalists with a framework to explain why Greenland has become such a focal point for U.S., European, and Arctic security policy — from its strategic location to its role in broader defense calculations. 2. Explaining Nationalism, Sovereignty & Self-Determination His research on nationalism and secession is especially relevant as Greenlanders and Danish authorities assert self-determination and reject external control, a central narrative in the current debate. 3. Contextualizing International Norms & Legal Constraints As commentators and policymakers discuss potential annexation, treaty obligations, and alliance commitments, Dr. Duerr can unpack how international law, treaties (such as NATO agreements), and norms against territorial conquest shape policy choices and diplomatic responses. 4. Making Sense of Geopolitical Fallout With European leaders labeling aggressive claims as a form of “new colonialism” and threatening economic countermeasures, Dr. Duerr can help journalists interpret how Greenland could become a flashpoint affecting transatlantic relations, alliance politics, and global perceptions of U.S. foreign policy. About Glen Duerr, Ph.D. Dr. Glen Duerr is a Professor of International Studies at Cedarville University with deep expertise in international relations theory, nationalism, secession, and comparative politics. He holds a Ph.D. in Political Science and Government and is widely available to speak with media on geopolitics, sovereignty disputes, and the intersection of national interest and international order. Why This Matters The evolving crisis over Greenland is not merely a diplomatic dispute — it touches on fundamental questions of sovereignty, global strategic balance, alliance credibility, and international legal norms. Dr. Duerr is positioned to help journalists go beyond headlines, offering analysis that clarifies motivations, stakes, and implications for audiences tracking one of the most talked-about international issues of 2026.
UF water researchers develop prediction system for harmful algae
The slimy algae topping Florida’s waterways are more than just unsightly. They are often toxic to humans, animals and the environment. To mitigate those risks, University of Florida researchers are collaborating with North Carolina State University and University of South Florida scientists on a next-day prediction model to warn and inform water managers about harmful algal blooms. The research is funded by two U.S. Army Corps of Engineers grants for two phases, totaling $4.4 million. The project is led by David Kaplan, Ph.D., a professor with the Engineering School of Sustainable Infrastructure and Environment in the Herbert Wertheim College of Engineering and director of the Howard T. Odum Center for Wetlands, and Mauricio Arias, Ph.D., an associate professor at USF. In a paper published recently in the Journal of Environmental Management, Kaplan, UF assistant professor Elise Morrison, Ph.D., and NCSU’s Maria Menchu Maldonado, Ph.D., chronicled their work with harmful algal blooms in the Caloosahatchee River and Estuary, the environmentally sensitive link between Lake Okeechobee and Florida’s southwestern coast. Maldonado performed the work under the guidance of NCSU collaborator Natalie Nelson. In a collaboration between multiple colleges, organizations, departments and universities, the paper’s other authors are Eric Milbrandt of the Sanibel-Captiva Conservation Foundation, Edward Phlips of UF and Natalie G. Nelson of NCSU. The project’s facilitators include Darlene Velez, research coordinator with the UF Water Institute, and Lisa Krimsky, Ph.D., a water resources regional specialized agent with IFAS. Using water samples and computer algorithms, the team developed prediction models based on two water sources feeding the river: Lake Okeechobee and the river’s watershed – the water run-off from the surrounding land. The models determine levels of chlorophyll-a, which is a pigment in algae that is indicative of algal bloom conditions. “For watershed-dominated conditions, the model was able to predict 49% of the variation in next-day chlorophyll-a, which isn’t bad, but for lake-dominated conditions, the model was much better, explaining 78% of the variation in next-day chlorophyll-a in the water,” Kaplan noted. Unlike traditional forecasting models for algal blooms, which are often complex and require much computing power, these models are designed to be practical for daily decision-making, particularly for the Southwest Florida Water Management District (SWFWMD), which has made improving the health of the Caloosahatchee Estuary a state priority. Ultimately, researchers want to develop an algae-prediction system and tools for water managers to reduce risks in all freshwater bodies. “Definitely, this model could be expanded with the use of more data,” said Maldonado. “The same procedure could be applied in other lakes that are highly managed. And this could be done around the world.” Algal blooms in Florida’s lakes, rivers and estuaries have caused significant environmental and economic damage in recent years, UF researchers contend. Blooms are becoming more frequent and longer lasting. The initial project – called Coupling Lake, Estuarine, and Watershed Models for the Caloosahatchee River and Estuary (CLEW) – designed data- and model-driven guidance for Lake Okeechobee water releases. “The overall motivation is that Lake Okeechobee is a challenging natural resource to manage, particularly deciding when and how much water to discharge from the lake to either estuary,” Kaplan said. “There are many competing needs surrounding management of the lake, which has only so much volume. We don't want to cause flooding or other ecological harm.” The follow-up project is UF’s collaboration with USF to develop tools for end users, meaning agencies and managers to make better decisions. The team wants to deliver a system where water managers press the button to get the one-day risk forecast. The study was organized to predict whether the algae-toxin risk is low, medium or high. “In this case, there is a threshold of algal organisms that is considered harmful,” Maldonado said. “Those waters carry phytoplankton species, a microscopic algae that produce toxins. They can be dangerous to swim in, and they can be harmful to the environment. It can be a liver toxin.” Beginning in the late 19th century, the Caloosahatchee River and its watershed underwent extensive modifications that significantly altered the hydrology of the region, according to SWFWMD. The once-shallow river was deepened and widened into a regulated waterway that was connected to Lake Okeechobee and the Kissimmee Chain of Lakes for navigation, water supply and flood control purposes. “Water quality is a challenge in Lake Okeechobee, including sometimes pretty bad harmful algal blooms,” Kaplan said. “And then, of course, the downstream recipients of whatever water is discharged are very sensitive to the amount of water they're getting and what's in it. They’d prefer it to be only the right amount at only the right times with the best quality."
It's a recent news story that has captured international attention and has parents, experts and child care advocates swirling: US boy, 11, allegedly shoots father to death after Nintendo Switch taken away If you’re planning a story on screen-time conflict, Harshi, a Digital Dependency therapist, is available for on-the-record comment, rapid written quotes, and short interviews on practical de-escalation and safer screen-limit routines. “The headline is about a device. The deeper story is what happens when a predictable boundary becomes an unplanned confrontation without a de-escalation routine.” Offline.now is a new wellness platform dedicated to helping families achieve healthy digital balance. What Harshi can help journalists cover On-the-record context and practical guidance for stories touching screen-time conflict, including: Why device removal moments can trigger outsized reactions in some kids (transition & regulation) How parents can de-escalate safely without turning limits into power struggles How to design screen rules that rely on systems, not willpower What to do after a blow-up (repair & resetting the plan) When “this-is-bigger-than-screens” and families should seek professional support Insights from our expert Use any of these as on-the-record quotes: Start with regulation, not the rule. “When emotions spike, it’s not a teachable moment. The first goal is to help everyone get calmer, then you can talk boundaries.” Don’t match intensity with intensity. “If you argue, lecture, or negotiate in the heat of the moment, you keep the conflict alive.” Use a short script - and stop talking. “Two sentences is enough: ‘I’m not debating this. We’ll talk when we’re calm.’ Then pause. Silence can be a tool.” Avoid surprise confiscations. “Taking a device without warning can feel like an ambush. Predictable routines reduce the power struggle.” Offer an off-ramp, not a cliff. “Transitions are hard. A timer, a closing ritual, and a clear ‘what’s next’ can prevent escalation.” Make boundaries about the system, not the child’s character. “This isn’t ‘you’re bad’ or ‘you’re addicted.’ It’s ‘our home has screen rules and we follow them consistently.’” Repair matters more than punishment. “After a blow-up, repair is the reset - name what happened, reset the plan, and practice the next transition.” Know when this is bigger than screens. “If threats, aggression, or extreme reactions show up, that’s a signal to seek professional support - not just enforce a stricter rule.” What parents can do right now Create a neutral device ‘parking spot.’ Devices live in one predictable place (not a tug-of-war in someone’s hand). Use a consistent transition routine. When time’s up, share a “shut it down” cue, park the device, and then move on to a 2-minute action (teeth, pajamas, snack, shower). Pick one calm script and repeat it verbatim. “I’m not debating this. We’ll talk when we’re calm.” (Then disengage and model calm.) Important context Harshi does not speculate about individuals involved in the news story and does not claim that gaming or screens “cause” violent behavior. Her focus is on what families can do - before conflicts escalate - using practical de-escalation tools, predictable routines, and supportive repair strategies.
A team of researchers from ChristianaCare and the University of Delaware has uncovered a key early step in how colorectal cancer begins. Their new study shows that a common genetic mutation in colorectal cancer disrupts the colon’s normal tissue renewal process, causing immature cells to build up, tissue structure to break down and early tumors to form. Their findings were published in the journal Cancers. “This finding changes how we think about the very first steps of colon cancer,” said Bruce Boman, M.D., Ph.D., senior author of the study and a senior researcher at the Cawley Center for Translational Cancer Research at ChristianaCare’s Helen F. Graham Cancer Center & Research Institute. “Instead of cancer starting because cells grow too fast, we found that it may start because the normal tissue renewal process slows down, creating a backup of cells that should have moved on. That backup sets the stage for tumors to grow.” The study was led by a multidisciplinary team of engineers, mathematicians, pathologists and tumor biologists from four research institutions. Colorectal cancer is one of the most common and deadly cancers worldwide. According to the World Health Organization, more than 1.9 million people are diagnosed each year, and about 930,000 people die from the disease annually. How healthy colon tissue renews itself The lining of the colon is constantly renewing itself. Every day, billions of cells are shed and replaced to keep the tissue healthy and working properly. This process depends on a steady cycle. New cells form at the base of tiny pockets called crypts, mature as they move upward, and are eventually shed. The new study shows how this natural process breaks down when a mutation occurs in a gene called APC, which is altered in about 90 percent of colorectal cancers. Rather than speeding up cell growth, the APC mutation creates a slowdown, or bottleneck, in the colon tissue’s renewal cycle. According to Boman, this slowdown causes dividing cells to pile up instead of moving through the system as they should. The result is a kind of tumor cell “traffic jam” that leads to distorted tissue and the formation of adenomas, early growths that can become cancerous. What APC-mutant tissue looks like To see these changes up close, the team compared healthy colon tissue with tissue from patients who have familial adenomatous polyposis, or FAP, an inherited condition caused by APC mutations. The differences were clear: APC-mutant crypts contained more immature, rapidly dividing cells. Fewer cells matured into specialized cells needed for healthy tissue. The zone where cells divide extended higher than normal. The overall renewal cycle took longer. “These findings are significant because they show how cancer-driving mutations change tissues that normally renew themselves nonstop,” Boman said. Pairing patient tissue with computer modeling To see how these changes happen over time, the researchers studied patient tissue and used a computer model that shows how colon cells normally grow and renew. When they slowed this renewal process in the model, it matched what they saw in tissue with the APC mutation. Cells became crowded, the structures lost their normal shape, and early tumor-like growths, known as adenomas, began to form. This confirmed that delayed renewal alone can trigger the earliest changes linked to colon cancer, even before cells appear abnormal under a microscope. “Our findings show that APC mutation does more than turn on growth signals,” Boman said. “It changes the timing of renewal. Once that timing is off, the tissue becomes vulnerable to structural damage and early tumor growth.” Building on earlier research This study builds on earlier work by the same team that mapped how healthy colon tissue renews itself. In prior studies, the researchers identified five basic biological rules that guide how colon cells grow, move and replace one another in a steady, organized way. The new findings show what happens when that system breaks down. A common mutation called APC slows the normal renewal process. Young, stem-like cells begin to build up before they can mature. Over time, that imbalance creates the conditions for early tumor growth. To pinpoint how these changes unfold, researchers Gilberto Schleiniger, Ph.D., and Christopher Raymond, Ph.D., from the University of Delaware’s Department of Mathematical Sciences paired mathematical models with real patient tissue data. Their work shows that even small delays in cell renewal can push healthy tissue toward cancer. “This gives us a clearer picture of how cancer can start long before a tumor is visible,” said Schleiniger. “By understanding the rules that keep healthy tissue in balance, we can see where and how things begin to go off track.” A possible path toward future treatments The findings also point toward a potential new approach to treatment. The researchers found evidence that the disrupted renewal process may trigger a chain reaction that allows pre-cancerous cells to keep copying themselves and fueling tumor growth. By targeting this process, it may be possible to restore normal renewal timing and healthier tissue structure before cancer becomes established. “This study shows that cancer isn’t just about rogue cells, but about a system that’s fallen out of rhythm,” said Bruce Boman, M.D., Ph.D. “If we can reset that renewal process, we may be able to prevent or slow early tumor growth before it gains momentum.”
