PlayStation 3 emulation has become easier than ever RPCS3, the PlayStation 3 emulator, has received a new “Plug and Play” update that makes game configuration much easier. With the newest version of the emulator, PS3 games will now “automatically configure themselves” using recommended settings from the RPCS3 Wiki. Until now, these settings needed to be […]

The post PS3 Emulation is easier than ever thanks to RPCS3 “Plug and play” appeared first on OC3D.

Xbox has revealed the second batch of games joining Xbox Game Pass for the remainder of April 2026, and it's a much more solid wave of entries compared to the first batch, if only because the games listed are actually new entries to the service and not just a bunch of games previously already available at the Game Pass Ultimate tier moving down to Premium. The new entries include a wave of games launching directly into Xbox Game Pass, including titles previously announced like Double Fine's upcoming Kiln and Poncle's new Vampire Crawlers. It also includes Aphelion, the upcoming sci-fi […]

Read full article at https://wccftech.com/xbox-game-pass-april-2026-aphelion-final-fantasy-v-trepang2/

Although little is currently known about the next-generation Xbox Project Helix, it's clear the system will be quite different from the Xbox One and the Xbox Series X|S, as it is set to bridge the gap between PC and console gaming. How this will be achieved remains to be seen, but in terms of hardware, according to known AMD leaker KeplerL2, Microsoft has decided to abandon the last thing that made an Xbox feel like an Xbox: custom hardware. "MS has 0 customization on the GPU side this time," the leaker said on the NeoGAF forums in a thread discussing […]

Read full article at https://wccftech.com/xbox-project-helix-0-gpu-customization/

The new Pro series PSUs will bring excellent reliability for modern PC builds, particularly for enthusiasts with high-end RTX 50 series GPUs. ASRock Launches Pro Series PSUs in 750W, 850W, and 1000W Capacities, Offering PCIe 5.1 and ATX 3.1 Compliance Popular hardware manufacturer, ASRock, has launched its latest power supply units in the new Pro series, featuring various capacities and fully modular design for PC builds. These units will bring all the modern features for better reliability and support for latest-gen hardware that makes running the system more reliable than ever. The PRO series offers power supply units in three […]

Read full article at https://wccftech.com/asrock-launches-pro-series-gold-rated-power-supplies/

Samson: A Tyndalston Story is the debut game from developer Liquid Swords, the studio founded by Christofer Sundberg, the founder of Avalanche Studios and one of the creators of the Just Cause series. Now, after a less-than-ideal launch earlier this month, Sundberg and the team are committed to making Samson work, with a flurry of bug and technical fixes on the way, and a console release scheduled for its 2026 roadmap. Samson was meant to be a smaller-scaled, double-A sized game, according to Liquid Swords, but even within that scope, the game still launched with a lot of technical issues. […]

Read full article at https://wccftech.com/samson-ps5-xbox-series-release-date-liquid-swords-2026-roadmap/

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Every digital PR (DPR) team’s been there: New data drops and the team huddles while someone stares at a blank Google doc spiraling over angles and journalist targets. Eventually, a pitch limps out the door just in time to hit “Send” before end of day.

The pitch then lands in a top-tier publication, everyone celebrates, and the next month the whole team does the exact same thing over again, like it never happened.

But here’s the thing nobody talks about: That winning pitch is a valuable asset, and most teams will just leave it sitting in their sent folder collecting virtual dust.

Whether it was a data study, a product launch, or an expert quote, that pitch is a template. And with AI, you can clone its DNA onto every new campaign rather than reinventing the wheel every single time.

By the numbers

The stakes for getting this right have never been higher. About 46% of journalists receive six or more pitches every single workday, and of those, 49% seldom or never respond to a pitch, per Muck Rack’s State of Journalism report. 

Pitch volume keeps climbing while relevance drops, with 47% of journalists saying they seldom or never receive pitches relevant to what they cover, Cision’s 2025 State of the Media Report found.

The volume problem is real, and AI is making it worse by enabling everyone to quickly and easily generate pitches. This means journalist inboxes are quickly filling up with content that sounds more generic than ever. 

So how do you get your pitches in front of as many journalists as possible while actually getting noticed? The answer is deceptively simple: Rather than blindly scaling your pitch generation, scale what you already know lands.

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Meet the DPR duplication method

I call it the “DPR duplication method,” and the idea behind it is simple: rinse, reuse, repeat.

The process is straightforward. You take a pitch that generated coverage previously, determine exactly what made it work structurally, and then use AI to replicate that structure for your next campaign rather than prompting from a blank slate.

It works across pitch types, too, which is the part I love most about it. Data studies, product launches, expert quotes, reactive commentary — it doesn’t matter. If the structure worked once, it can work again, and if it worked 10 times, it can work 20.

One of my favorite pitches to use with this method is one I sent to an editor at PR Daily, and the subject line read: “Your basset hound is the cutest [New SEO study for PR Daily].”

The pitch was built around a data study on YouTube thumbnail performance, with findings that were specific, visual, and easy for a journalist to turn into a standalone story without much heavy lifting on their end. It landed. Same-day response.

Anatomy of a winning pitch: What made it work?

So why did it work? There are four reasons, and you can replicate every single one:

• The subject line led with a personal connection before it ever mentioned the pitch, directly referencing the editor’s dog before dropping the study hook in brackets. This made it impossible to ignore because initially it didn’t feel like a pitch. Instead, it felt like a personal message from someone who actually knew them.
• The opening hook built rapport before it built a case, acknowledging their pet and sharing something personal before naturally transitioning into the actual reason for the email. By the time the data showed up, they were already reading and receptive.
• The stat sequencing moved from the broadest behavioral finding down to the most specific and visual. This gave them multiple angles to work with, depending on what their audience needed most. It didn’t force them to figure out the story themselves. Plus, it was also about a topic they were already covering.
• The CTA was framed entirely around their readers and not around my study or client. It asked whether their audience of growing businesses interested in videography would benefit from the findings. The CTA wasn’t simply, “Would you like to cover this?” Instead, it was, “Would your readers benefit?” That’s a very different ask, and journalists immediately feel the difference.

Steal the structure: Prompt by prompt

Don’t describe your best pitch to the AI. Instead, give it the pitch by pasting in the full text. Then, ask it to mirror the specific parts that made the pitch work rather than having it write something new from scratch.

Here’s how that looks using a hypothetical campaign. Say you are pitching a new survey for a financial wellness company that shows one in three Americans have skipped a doctor’s appointment in the last year because of cost. This is strong data with a clear emotional hook that a lot of journalists covering personal finance or healthcare would care about.

You need to pitch it, and you need it to land. So you open the PR Daily pitch above, and you use it as your blueprint, duplicating each component that made it work for the new campaign.

Duplicate the subject line

That PR Daily subject line worked because it opened with something personal to the journalist before it ever mentioned the study, and you want that same energy in every new pitch you send:

• “Create seven headlines with each provided stat. For example: [paste your winning subject line format].”
• “Make this subject line more focused on [new topic]: [paste winning subject line].”
• “Make this subject line more newsworthy based on the articles I provided: [paste current subject line draft].”
• “Make this statistic into a newsworthy headline: [paste stat].”
• “Make this headline more personal to a journalist covering [beat]: [paste headline].”

Duplicate the opening hook

The opening worked because it felt human before it felt like a pitch, and injecting that same warmth and specificity into a new campaign is as simple as showing the AI exactly what you mean rather than trying to describe it:

• “Love this opening. Make the new opening mimic more of this: [paste opening from winning pitch].”
• “Here is some trending news. Highlight this in the opening hook: [paste URL].”
• “Make this opening more [inflation/healthcare/financially] focused: [paste current opening].”
• “Here is another example of what is happening right now. Let’s incorporate it: [paste URL].”
• “Make this intro feel more like a journalist would write it and less like a press release: [paste current intro].”

Duplicate the stat sequencing

The stats in the PR Daily pitch moved from the broadest finding down to the most specific and surprising, which handed the journalist a ready-made narrative she could work with instead of a list of numbers she had to interpret herself:

• “Here are my key statistics: [paste stats]. Make the stats mimic this verbiage: [paste stat section from winning pitch].”
• “Make this statistic more clear and newsworthy but not misleading: [paste stat].”
• “Rewrite these stats so they flow like a story, starting broad and getting more specific: [paste stats].”
• “Make these stats feel more conversational and less like a press release: [paste stats].”

Duplicate the CTA

The CTA worked because it put the journalist’s readers at the center of the ask rather than the study or the client, and that shift in framing is something you want to carry into every pitch you send:

• “Make the CTA more like this: [paste CTA from winning pitch]. New topic is [insert topic].”
• “Make this CTA more [topic] focused: [paste current CTA].”
• “Rewrite this CTA so it leads with what the journalist’s readers will get, and not what we want covered: [paste current CTA].”
• “Make this feel less salesy and more like a genuine offer: [paste current CTA].”

Duplicate the follow-up

The follow-up gets the exact same treatment, because there is a version of your best follow-up already sitting in your sent folder. You should be using this winning follow-up as the model every time instead of writing a new one:

• “Mimic this follow-up and add the link [paste URL]: [paste your winning follow-up].”
• “Mention [insert trend] from [insert article] in this follow-up: [paste follow-up].”
• “Rewrite this follow-up so that it leads with a new stat we did not include in the original pitch: [paste follow-up and new stat].”
• “Make this follow-up shorter and punchier while keeping the same structure: [paste follow-up].”

Every component has a proven version already sitting in your sent folder, so use it. Re-prompting with the actual text of the original rather than describing it will consistently yield more faithful results, as the AI won’t need to guess at your voice. Instead, it has a blueprint.

You can duplicate anything

Ask yourself what is preventing your current pitches from landing. The first answer that comes to mind probably isn’t the lack of a new AI tool. Rather, it’s likely a structural ingredient from something that already worked and that you stopped using the moment it landed coverage.

The DPR duplication method can apply to every part of your outreach (e.g., headlines, pitch intros, stat formatting, CTAs, sign-offs, and follow-ups). Every single component can be duplicated and evolved from a version that has already proven its effectiveness. 

I know what you might be thinking at this point: Won’t pitches start to sound the same if they all pull from the same structure? The answer is no, because the structure is yours, built from your wins, your voice, and your relationship with a specific editor about her specific dog. Nobody else has that blueprint.

Here are some questions worth considering before your next campaign:

• What group of stats did you love from a past pitch, and how can you use them as a formatting model for new data?
• What pitch generated an outsized amount of press, and what was the structural reason it actually worked?
• What headlines received responses from journalists, and what was the pattern that made them land?
• What in your past experience can be enhanced with AI rather than replaced by it?

Using AI doesn’t require sacrificing the secret sauce of what generates press — because the strategy is still yours. AI just helps you execute it faster and more consistently without losing the specific ingredients that made your best work actually work.

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Your next pitch starts with your last win

Open the pitch that generated your best coverage in the last 12 months, whether it was a data study, product launch, or expert quote pitch. Identify the things that made it work, including the subject line, opening hook, stat or story sequence, and the CTA. Notice what made each one feel specific, human, and impossible to ignore.

Then prompt AI to duplicate each component individually using that pitch as the model. Add current news context where it fits, combine everything, refine as needed, and duplicate the follow-up, too.

You’re not copying. You’re compounding.

Rinse, reuse, repeat.

In 2026, news SEO content performance isn’t just defined by page views and clicks — brand awareness is taking center stage. With the emergence of multimodal search, digital editorial strategy is no longer just about the first page of Google. You have to meet readers anywhere and everywhere they consume content. 

Amid this industry shift, AI platforms are an increasingly important traffic source for publishers to consider. If publishers want to remain relevant, it’s critical to find ways to play ball with Google AI Overviews, chatbots, voice assistants, and other emerging technologies. 

Fortunately, utility news content is a key deliverable that can connect with audience needs across platforms throughout a variety of breaking news and evergreen windows. 

What is utility news content? 

Utility news content is service journalism that’s specifically crafted to provide simple and straightforward answers to topline questions. The recent rise of answer engine optimization (AEO) is driven by a similar methodology. 

Service journalism encourages readers to contemplate:

• What does this topic mean?
• Why does this angle connect with my interests and needs? 
• How can I apply this information to my life? 

When constructing a utility content strategy, we must remember: Simple isn’t stupid. Don’t overcomplicate the process. Listen to the needs of your audience and let those signals guide you to the right places. 

In terms of execution, the “set it and forget it” days of evergreen content are fading in favor of more proactive audience engagement strategies. 

To maximize the impact of utility news content, it’s essential to:

• Map out evergreen targets in advance with trend forecasting around seasonal events and recurring search patterns.
• Track the breaking news cycle closely to pinpoint new areas of opportunity.
• Refresh existing explainers when corresponding breakout queries arise.
• Create new utility posts when content gaps exist.
• Recirculate related resources across appropriate platforms in timely windows.
• Track article performance to assess overall impact and share key takeaways with editorial stakeholders.
• Consolidate related articles in a streamlined content library for easy access and regular review.

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What are traditional utility news content examples? 

These helpful guides show that simple and straightforward content can serve reader needs by breaking news within a crucial window of time, zoning in on evergreen themes of interest, and connecting with seasonal tentpole event calendars. 

• Checklists – The Denver Gazette, “Know before you have to go: wildfire evacuation checklist”
• “Everything to know about [insert topic here]” – CBS News, “Everything you need to know about the Texas primaries” 
• FAQs – CNN, “What parents need to know about Trump Accounts: An FAQ” 
• “How to [insert topic here]” – The New York Times, “How to Shovel Snow Safely”
• Localized guides – The Los Angeles Times, “The 70 best hikes in L.A.”
• Multi-purpose landing pages – ESPN, “MLB spring training 2026: Schedule, highlights, updates”
• Timelines – The Wall Street Journal, “A Timeline of Key Moments in American Capitalism”
• “How does [insert topic here] work?” – AP News, “How Social Security works and what to know about its future”
• “What happens if [insert topic here]?” – ABC News, “What happens if the government shuts down? A lot, history tells us”
• “What is [insert topic here]?” – People Magazine, “What is Fat Tuesday? All About Mardi Gras’ History and Meaning”

ESPN utility news AI Overviews case study 

During my tenure as SEO Director at ESPN from 2022-2026, I spearheaded a utility content initiative that prioritized fan-forward queries throughout a variety of game and event windows. In managing that workflow, I picked up helpful dos and don’ts for making utility content shine within a newsroom. 

These examples demonstrate why utility news content can resonate in AI modules if you have a proper editorial strategy in place. Create content that can maintain relevance throughout long-term event cycles

When the Indiana Pacers started trending for the “NBA teams that have never won an NBA championship” theme at the end of the 2025-26 NBA season, updating this evergreen piece of content to maintain accuracy secured consistent AI Overview placement through to the championship. 

Answer breaking news questions with evergreen resources 

Following his unexpected passing in July 2025, Hulk Hogan’s wrestling titles were a major search topic that translated well into this breakout explainer. Its evergreen potential can resonate with audiences beyond the initial post-demise trending window. 

Create evergreen lists in advance that can spike off of breaking news

Candace Parker’s 2025 jersey retirement gave this previously published evergreen roundup a fresh window to reach new fans and drive traffic. 

Recirculate guides that can benefit from frequent updates

With LeBron and Bronny James frequently in the news, this fun evergreen take reflects their evolving stats and provides a related link to feature complementary content. 

Lean into your brand 

Whenever possible, it’s great to showcase in-house talent with breakout posts that spotlight unique elements that are synonymous with your brand. 

Why is utility news content still relevant? 

With the rise of zero-click search, some concerns have been raised about investing in service journalism when related SERP modules regularly snatch up topline shelf space in time-sensitive windows. 

Though declining click-through rates are alarming, service journalism isn’t only about traffic. Publishers have a duty to showcase legitimate sourcing and provide accurate information that serves audience needs across top platforms. 

Among many recent studies, Ahrefs presented new data in December 2025 that showed how easy it is for LLMs to get confused and present inaccurate information to users. Google AI Overviews can also sometimes produce “predictions” that share outcomes on events that haven’t happened yet. 

Inaccuracies are especially concerning in breaking news windows, which AI Overviews have been increasingly staking their claim on (as noted by Glenn Gabe). 

Additionally, innocent online interactions can quickly turn dangerous, which The Guardian emphasized in a 2025 investigation that uncovered how Google’s AI Overviews gave “very dangerous mental health advice” to billions of searchers.

Though visibility challenges are frustrating, we can’t sit idly by and let the general public be led astray when seeking timely information. In 2026 (and beyond), AI-friendly utility news content is still worth championing in your newsroom.  

How can publishers pinpoint the best topics for utility news content? 

An ideal utility content workflow should function under a healthy combination of breaking news reaction and evergreen trend forecasting. 

A variety of tools and interfaces can help publishers during the ideation process:

Google Trends

‘Trending now’ section

• Toggle upper navigational features to explore trends within different regions, date ranges, and content categories.
• “Past 4 hours” is ideal for breaking news brainstorming.  
• Use “Search volume” and “Started” filters alongside search interest activity chart to gauge the timing and format of potential pieces.
• Older trends can be repurposed past the breaking news window in the form of timelines and “bigger picture” explainers.
• Sift through the “Trend breakdown” section for angles of interest that could translate into breakout explainers. 
• Tap into the “In the news” section for brand performance validation and competitor intel. 

Standalone topic searches

• Discover trending questions, people, places, events, and things in “Rising queries” section.
• Determine essential phrases to target in headlines and subheadlines with the “Top queries” section. 
• Conduct localized research with the “Interest by subregion” module in “Classic Explore” view. 
• Use the comparison bar to narrow down potential topics of interest for breakout articles and establish the most search-friendly phrasing for headlines. 
• Experiment with “YouTube,” “News,” and “Image” search filters to assess how searches on topics of interest may vary by platform. 
• Regularly share related insights with external departments that can incorporate search-friendly angles into their workflows and deliverables (e.g., The video team with “YouTube” search, the photo team with “Image” search).
• Use “Past hour” filter during breaking news windows to assess urgent audience queries and predict where search behavior may be going next. 
• Use “Past 5 years” and “2004-present” filters to identify seasonal audience trends that can positively influence year-over-year content planning and “all-time highs” in search interest
  • When do search interest spikes occur every single year? 
  • What content can you refresh on an annual basis to capitalize on cyclical audience behavior? 
  • How should you stagger your content rollout during a recurring event window?  
• Experiment with the “Suggest search terms” Gemini feature for supplementary content research (Note: If you use AI tools in a prominent way during the content creation process, it’s important to be transparent with your audience and include a corresponding disclosure statement within the final deliverable).

Curated pages (ad hoc basis) 

• Zone in on trending takeaways around tentpole events with mass interest.
• Regularly check the Google Trends homepage for featured modules around elections, sporting events, awards shows, etc.  

Curated newsletter (typically Monday-Friday) 

• Take the guesswork out of daily Google Trends analysis.
• Receive top trends, breakout queries, data visualizations, and interesting stats from industry experts that can be applied to breakout articles.  
• Sign up on the Google Trends homepage. 

Competitor research throughout all modules

• Gauge where you’re winning and pick up on lingering content gaps where other publishers may have an edge. 

Google News

• Explore primary topics of interest in the “Top stories” homepage section.
• Dig into upper navigational bar content categories based off of newsroom beats.
• Discover regional opportunities in the “Local” section.
• Access the platform regularly to receive a curated selection of articles in the “For you” section based off of your personal user behavior and interests. 
• “Follow” searches that would benefit from regular monitoring to streamline the daily research process. Press the star button on the upper right-hand side of an individual search to save topic to your “Following” section.
• Utilize standalone topic searches for targeted content ideation. 
• Explore standalone source searches for validating brand performance and conducting competitor research.

People Also Ask

Converse with “AI Mode” to uncover topic clusters that extend beyond your initial search. 

Semrush

Pinpoint high-volume Q&A angles that maintain long-term relevance in seasonal windows. 

Alternative search platforms

Identify trends that can spark content with compatibility across a variety of formats, including articles, videos, and social posts:

• Google Autocomplete: Ideal for research on high-intent long-tail keywords.  
• YouTube search bar: Ideal with topics that can be enhanced by strong visuals and/or a video walk-through approach.
• TikTok search bar: Ideal for targeting younger demographics. 

How should utility news content be constructed for success on AI platforms?  

Once the brainstorming process is complete, search strategists need to adopt the right techniques to make sure that corresponding content serves utility needs. 

Utility news content can be structured to be more “AI-friendly,” so to speak. Specifically, LLMs are more likely to cite content that contains: 

• Simple and straightforward formatting
• FAQ styling
• Easily extractable answers 
• Fresh updates
• Objective stats that lean into substance  

Include AI-friendly tactics like bullet point lists, numbered steps, tables, keyword-targeted subheadings, and snackable paragraphs to better position your content for LLMs.

Don’ bury the lead 

Answer the most search-friendly questions in the top half of the article using the five journalism staples: Who, what, where, when, why, how? 

Break out the buzziest angles from live blogs, rolling roundups, and extensive features into standalone articles. Quick-hit explainers and deep dive analyses can cover the same general topic and serve different audiences. 

Important themes can get lost in bigger pieces and fail to surface in related external searches, whereas separate articles with targeted headlines can increase search potential. 

Highlight E-E-A-T (experience, expertise, authoritativeness, and trustworthiness)

Promote need-to-know information that can appeal to the masses while elevating the unique value your brand can offer:

• Quotes from brand experts.
• In-house data.
• Original reporting.
• Regional angles.  
• Historical context.

Be sure to create author pages to consolidate content from in-house experts, make articles more discoverable, and encourage ongoing followership. Utilize timestamps to your advantage 

Implement a “Last updated” marker to produce the freshest search signal possible to readers and crawlers. Refresh articles with new and noticeable updates, such as content, headlines, photos, videos, and links.

Tweak and recirculate content across a variety of related news windows to get articles back into feeds and provide readers with related context. Small-scale updates can build up to substantial traffic and AI Overview placements throughout a calendar year. 

You should also be adding new links to supplementary stories as news cycles evolve. These updated links send a fresh signal to Google, provide essential context to readers, and reinforce your E-E-A-T on top priority topics for your brand. Create short, concise titles and headlines that prioritize search-friendly entities

When crafting headlines, avoid conversational fluff (including quotes, which are better utilized elsewhere) and instead zone in on people, places, events, etc. 

Try to keep your headlines within 60 characters or less to stay on the safe side with Google’s roulette of SERP formatting. Google is increasingly randomizing the appearance of search results with the influx of multimodal sources flooding the scene.

For instance, “Top stories” carousels have been disappearing on more newsy searches, which can shift SERPs back to their traditional title tag structure (which can sometimes cut off titles and headlines at less than 60 characters) vs. a headline structure (which tends to have more wiggle room with character count). 

Though frontloading keywords isn’t a requirement in titles and headlines (variety and readability are helpful for UX), you should keep top-priority themes away from the 60-character cutoff point as a precaution. 

Remember, it’s okay to tweak titles and headlines if readers aren’t connecting with them. Fresh angles can provide a late traffic surge, especially when paired with homepage and/or app placement. 

If SERPs lag in reflecting your latest updates, re-index articles in Google Search Console. 

Be strategic with keyword placement

As Google tests out AI-generated headline rewrites, it’s increasingly important to optimize original headlines with essential terms that readers are searching for. 

You’ll also want to showcase supplementary keywords in meta descriptions. Utilize a call to action when appropriate, especially with guides in urgent windows like natural disasters, shootings, etc. 

Mirror top keywords from titles and headlines into URLs, but tread carefully with years and specific numbers in URLs to maintain evergreen status as news cycles evolve. 

Don’t forget to optimize your images! Include keyword-rich alt text and captions on any images in your news content, which help AI models better understand visuals within your content and improve your odds of discoverability. 

Implement sitemaps and structured data

Enable a news-specific sitemap to optimize delivery of timely content. This will emphasize freshness, streamline indexing, and boost overall search visibility.    

Additionally, employ schema markup to help  ensure the proper indexation of articles. “NewsArticle,” “LiveBlogPosting,” and “FAQPage” are especially relevant for surfacing utility news content.

How can you recirculate utility news content effectively? 

Once publishers have established a productive utility content workflow, it’s essential to employ a strategic recirculation strategy to maximize visibility in all appropriate channels. 

“SEO is dead” messaging has been spreading over the past year. Everyone’s entitled to their own opinion, but I believe that as long as people are searching for the information they need online, traditional search best practices are still very much alive. 

However, certain old-school SEO ideologies are dying off, chief among them being that search performance lives and dies with the first page of SERPs. With ongoing AI visibility challenges, search strategies must extend beyond Google’s digital walls. 

We must recirculate always, in all ways

In 2026, search strategists need to be audience strategists to surface content across all the places people visit online. 

Collaborate and find common ground with departments across your organization to be able to quickly elevate search-friendly angles and content within crucial news windows.

A strong strategy is essential to ensure your brand stays top of mind across platforms when timely audience needs arise. 

Channels that can benefit from cross-departmental search and distribution strategies include: 

• Your website/homepage
• Apps
• Alerts 
• Newsletters
• Podcasts
• Instagram/Threads
• Facebook
• X
• Bluesky 
• Reddit
• TikTok
• Linkedin 
• YouTube 
• Google Discover 
• News aggregators (Apple News, Smart News, etc.) 

How should newsrooms assess the performance of utility news content? 

With a growing list of platforms in the content recirculation mix, performance tracking is evolving with additional nuances for publishers to consider. 

Prior to Google’s Search Generative Experience and AI Overviews, utility news content was primed for placement in knowledge panels, featured snippets, and “Top stories” carousels. Google started to take up more of that top shelf space with its own bespoke charts and modules over time, minimizing publisher activity during top priority events. 

The public rollout of AI Overviews in May 2024 changed the playing field in a big way, but the development didn’t come out of nowhere. 

As AI Overviews have become increasingly prominent in search results, respected institutions such as the Pew Research Center have noted declining click-through rates across the news industry. This development has pushed publishers to place greater emphasis on overall brand visibility alongside their traditional prioritization of page views and clicks. 

Though standard metrics remain important, publishers should rethink what “successful content” means as audience engagement shifts.

In 2026 (and beyond), search strategists should pay extra attention to: 

• AI Overview placements.
• Featured snippet placements.
• People Also Ask placements.
• “Top stories” placements. 
• Percentage of traffic from chatbots. 
• Overall search impressions.
• Organic search traffic across multiple utility pieces under one general topic. 
• Year-over-year growth of evergreen SEO content. 

Other metrics that can indicate a positive editorial experience and encourage long-term brand loyalty include:

• Scroll depth. 
• Time spent on site.
• Return visits on evergreen content. 
• Bookmarked entry pages.
• Newsletter, app, and other subscription signups from individual pages.  

Dedicated AI platforms from companies like Profound, Semrush, Similarweb, Ahrefs, and other industry vendors can help demystify the performance tracking process. 

Though every AI interaction may not lead to a click or page view, consistent placements in related modules can psychologically trigger trust and encourage long-term reader loyalty, as pointed out by Go Fish Digital. 

Since this performance ideology may differ from what some stakeholders are accustomed to, ongoing newsroom search training is critical to ensure that leadership understands the broader industry implications. 

For instance, positive performance snapshots should be regularly shared with editorial partners to reinforce the impact of the content investment. Postmortem reports can also provide performance insights following tentpole events, driving home key takeaways and reinforcing best practices for the future.

How does personalization play a role in surfacing utility news content? 

The recent rise in personalization features underscores the growing need for publishers to adopt brand-first editorial strategies. To maximize brand reach despite decreased visibility in traditional SERPs, it’s critical for publishers to leverage features that can strengthen brand loyalty. 

Preferred sources in Google “Top stories” carousels and new follow capabilities in Google Discover can increase the value of everyday interactions that are likely to trigger needs utility content can address. 

For example, Google shared that when someone picks a preferred source in “Top stories,” they click that site twice as often on average. With such benefits, publishers should demystify these offerings and encourage readers to curate their content consumption habits in their favor.  

Instructions to guide your readers to choose your brand as a preferred source in Google’s “Top stories” carousel: 

• Log into your Google account. 
• Search for a trending topic that would populate a “Top stories” carousel. 
• Click on the star icon next to “Top stories.” 
• Enter [source name] in the search bar and check the corresponding box. 
• Reload results and watch the content shift based on your new selection.
• Once you pick your favorite sources, they’ll appear more frequently in “Top stories” carousels or in a dedicated “From your sources” section on search results pages.

Instructions to guide your readers to enable the “Follow” feature in Google Discover:

• Log into your Google account. 
• Scroll through your Google Discover feed.
• Find a story from your favorite source.
• Click the “Follow” button in the upper right-hand corner. 
• Once you track sources, you’ll see more of their content in your feed.

To maximize visibility around these new features and simplify the signup process, publishers can install related buttons on their article pages and create standalone documentation that illustrates implementation. How can utility news content benefit a newsroom and the industry at large? 

We know that readers benefit from personalized strategies, but there are also advantages to sharing the utility content ideation and creation process with more colleagues in your newsroom. Service journalism can have a positive internal impact by creating a pathway for more colleagues to participate in the content creation process. 

Opening up the utility workflow within your organization can encourage colleagues across the following departments to showcase unique expertise and encourage a culture of inclusivity that can elevate search-friendly coverage:

• Editorial sections: In-house experts to loop in during the research process and support with content gap coverage.  
• Audience engagement: Trend trackers who pinpoint which emerging topics are worth creating content around and featuring on the website, apps, and other spaces.  
• Social media: Cross-platform collaborators to link up with on shared trends that can maximize brand visibility in multimodal search. 
• Data and analytics: Methodical minds who can explain how performance insights should influence future content roadmaps. 
• Design: Visual visionaries who can create bold new environments for search stats to live on, including maps and infographics. 
• Product: Technical talents who can build proprietary tools that address reader needs in unique ways during timely windows. 
• Features: Outside-the-box thinkers with strong sourcing who can highlight newsy angles in a narrative and/or investigative fashion. 
• Copy editors: Streamlined strategists who ensure maximum accuracy in explainers, guides, and other objective resources.  
• Freelance writers: External partners who can bolster internal efforts with outside expertise and supplemental bandwidth. 
• PR and communications: Internal partners who can spotlight brand priorities that can be elevated through search-friendly content.

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Visibility, trust, and why utility content still wins

Though the SEO industry faces unique challenges in 2026, publishers can still benefit from creating utility content. Amid LLM inaccuracies and AI growing pains, we must continue to serve our readers with accurate, authoritative articles in digestible formats that align with evolving content preferences. 

With Google testing out adding more links in AI Overviews, I remain cautiously optimistic that publishers and AI platforms can work in tandem to provide optimal editorial experiences to audiences in the future. 

In the meantime, keep these fundamental best practices in mind:

• Prioritize audience needs. Elevate newsroom expertise.
• Forge a path forward that champions evolution while honoring lasting fundamentals.

AMD’s best value 2026 CPU launch could be four years old AMD’s Ryzen 7 5800X3D CPU launched in April 2022, and it looks like it is about to return as a new “AMD AM4 10 Year Anniversary Edition” CPU. HXL has unveiled an image of the rumoured CPU’s box on Twitter/X, suggesting that the 5800X3D […]

The post AMD 5800X3D Box Spotted – AMD’s best value 2026 CPU could be from 2022! appeared first on OC3D.

MSI launches two new 4K 240Hz X24-series QD-OLED gaming monitors MSI is taking its QD-OLED lineup to the next level with its new MPG 322UR QD-OLED X24 and MAG 321UP QD-OLED X24 gaming monitors. These new screens are now officially available and should be available worldwide soon. These new 4K OLED screens support refresh rates […]

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Apple switched to its new Fusion Architecture for the M5 Pro and M5 Max, meaning that both of its chipsets can now pack up to an 18-core CPU and 40-core GPU in the latest MacBook Pro lineup, bringing increased multi-core and graphics performance to the table. However, these improvements would typically mean that the machines will become more expensive, but Amazon has taken a different direction, slashing the 14-inch and 16-inch models by up to $200. Now, you get to tackle the most intensive workloads while pocketing some savings. The more attractive discount is applied on the 16-inch M5 Pro […]

Read full article at https://wccftech.com/m5-pro-macbook-pro-with-cores-and-performance-now-up-to-200-off-on-amazon/

When multiple analysts cite various supply chain sources to assert that Apple is apparently buying up all the DRAM it can get its hands on, you should pay attention. And now, Goldman Sachs analyst Michael Ng has become the latest to add to this chorus, albeit taking a much more benign stance on the topic of Apple's margins. A Goldman Sachs analyst takes a benign stance towards the impact on Apple's margins from its rampant DRAM-buying activities We reported on a specific bit of supply chain chatter in early April, which suggested that Apple was actively buying up "all available mobile […]

Read full article at https://wccftech.com/goldman-sachs-breaks-from-wall-street-panic-says-apples-dram-hoarding-wont-crush-margins-despite-2-4-exabyte-appetite/

Ex Machina, Civil War, Warfare, and 28 Years Later writer Alex Garland is leading the charge on an upcoming Elden Ring movie being made by A24 with Bandai Namco collaborating - this much we've known since May 2025. Now, the latest update from Garland and company is that the film has a release date set for March 3, 2028, and the full cast has been selected, though it's unclear what roles everyone will be playing. In a press release Bandai Namco confirmed that the film is in production (though that much was already obvious after footage of the set leaked […]

Read full article at https://wccftech.com/elden-ring-movie-release-date-full-cast-announced-alex-garland-a24/

NVIDIA has shared a new and improved ReSTIR algorithm, which improves Path Tracing performance by 2-3x, setting the stage for next-gen gaming. Ray Tracing Is Cool, But Path Tracing Is Cooler & NVIDIA Is Making PT Faster by 3x With Its New ReSTIR Algorithms PC games are rapidly adopting Path Tracing as a means to deliver next-generation visual fidelity. Just like Ray Tracing, NVIDIA is the one who has paved the way for Path Tracing on PCs first. However, just like Ray Tracing in its early days, Path Tracing faces a challenge, and that's the requirement of faster hardware. As […]

Read full article at https://wccftech.com/nvidia-improves-path-tracing-performance-by-3x-enhanced-restir-algorithms-next-gen-gaming/

Sponsorship Manager gives creators a single dashboard to run sponsorships from outreach to renewal. Track deals, deliverables, invoices, and conversations, automate follow-ups, and get renewal reminders so revenue doesn't slip. Share branded sponsor updates and rate cards, send proposals, and manage a pipeline with Kanban, calendar, and finance views. AI features generate proposals and follow-ups, while the sponsor portal keeps partners informed. Built for podcasters, YouTubers, influencers, and event hosts.

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Wedding DJ Finder is an online directory that helps couples find highly reviewed wedding DJs for their ceremony and reception. Browse profiles by location, music styles, and ratings, read reviews, and view photos to compare options. Use search to explore top DJs in your area and connect with the right fit to keep your dance floor packed.

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The operating system for natural capital management

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Back in December, Google began showing read more links on some of the search result snippets within Google Search. Today, Google published new documentation around best practices on how to show Read more links in the Google search results.

The best practices. The new documentation was posted over here in the snippets section and it lists three best practices:

• Make sure content is immediately visible on the page to a human (and not hidden behind an expandable section or tabbed interface, for example).
• Avoid using JavaScript to control the user’s scroll position on page load (for example, don’t force the user’s scroll position to the top of the page).
• If you make history API calls or window.location.hash modifications on page load, make sure you don’t remove the hash fragment from the URL, as this breaks deep linking behavior.

What it looks like. Google also posted an illustration of these links, here it is:

Here is an example of how they look:

Why we care. These read more links do add an additional eye-catching link to the search result snippets. Hopefully, this leads to encouraging more clicks to websites and no less.

More clicks to websites is a good thing, so make sure to review the best practices to encourage more clicks to your site.

Rand Fishkin didn’t get into SEO because he saw the future.

He got into it because he had no choice.

In the early 2000s, Fishkin helped run a small web business with his mom in Seattle. They hired another company to do SEO until they couldn’t afford to pay them anymore.

That moment pushed him into search marketing. More than 20 years later, Fishkin has become one of the best-known voices in SEO — and one of Google’s biggest critics.

In this interview, he looks back at how search has changed, what went wrong, and what may happen next.

Early SEO was wild

SEO today can feel messy. But in the early days, it was even more chaotic.

“There was no social media,” is how Fishkin described that era, where forums like WebmasterWorld and Search Engine Watch were the center of the industry.

People shared tactics openly. Many of those tactics were risky. Buying links was common — and effective.

Fishkin did it, too. Then Google’s Matt Cutts called him out in public.

That moment changed how he approached SEO. He spent years focusing on “white hat” practices and following Google’s guidelines.

Looking back, though, Fishkin now questions whether that shift went too far. He believes Google’s own behavior over time has made those guidelines harder to trust.

The early industry wasn’t just chaotic — it was also full of strange and memorable moments. Fishkin recalled massive conference parties with huge budgets and over-the-top ideas, including a staged “retirement” of the Ask Jeeves mascot.

But what stood out most to him wasn’t the tactics or the parties.

“My favorite thing… is people,” he said, pointing to the relationships and friendships built over decades in search.

When Google stopped sending traffic

Many people think AI is the big turning point in search.

Fishkin says the shift started much earlier — around 2011.

That’s when the idea of “zero-click search” first appeared. Google began answering more queries directly on the results page instead of sending users to websites.

At first, it was small features like weather boxes and calculators.

Then it grew:

• Around 2016–2017: nearly half of searches ended without a click
• By 2018: more than half
• Today: more than two-thirds

Fishkin emphasized that this trend didn’t start with AI — it has been building for more than a decade.

Publishers had a chance — and missed it

Fishkin believes publishers could have taken action early — but didn’t.

• “The time to fight back… was 15 or 20 years ago,” he said.

In his view, large media companies should have worked together to push back against Google’s growing control. They could have demanded payment for content or limited how Google used it.

Instead, they allowed Google to crawl and use their content freely.

At the same time, Google expanded its influence through lobbying and policy.

• “Publishers just missed that opportunity,” Fishkin said.

Now, he argues, the focus has to shift to adapting:

• Build subscription businesses
• Monetize attention, not just traffic
• Learn how to operate within platform ecosystems

Some companies have already made that shift. Fishkin pointed to The New York Times as an example of a business evolving beyond traditional news consumption.

Did Google change?

Fishkin does not believe Google has become worse for users.

• “If it was easier or better to search on Bing… people would go to those places,” he said.

But he does believe Google has become much harder for publishers and creators.

The change, he said, was gradual. As Google grew, went public, and aligned with investor expectations, its priorities shifted toward growth and revenue.

• “They became the people that they spent time with,” Fishkin said.

The biggest AI mistake people make

Fishkin says most people misunderstand how AI works.

They treat AI answers like search results — consistent and reliable.

But they aren’t.

If you ask the same question multiple times, the answers can vary widely.

• “You will get completely different answers. And if you do that 10 times, you will get 10 incredibly unique different answers,” he said.

His advice is simple: don’t rely on a single response. Ask multiple times and look for patterns. If the same answer shows up consistently, it’s more likely to be trustworthy.

This matters most for important decisions, like health or finance, where relying on one answer could be risky.

What he misses about the early days of SEO

Fishkin doesn’t miss a specific tactic or tool.

He misses the level of opportunity that existed in the early web.

Back then, smaller creators and independent sites had a better chance to succeed. Traffic was more evenly distributed.

• “The world of clicks and traffic… was so… flat compared to… today,” he said.

What’s next?

Fishkin believes the future of media and search may look more like the past.

He expects a smaller number of powerful platforms to control most of the flow of information.

At the same time, individual creators will still produce much of the content — but within those systems.

Still, he hopes the web can evolve again.

If you know anything about Google Ads Asset Studio, you’ve heard the hype:

• “Google just killed every excuse for not running video ads.”
• “Total game changer! You don’t need a production budget anymore.”
• “Upload a few product images and get campaign-ready video in minutes.”

From Google Ads > Tools > Asset Studio, you can build, manage, and scale images and videos across ad formats.

The recent addition of Veo (Google’s AI video generation model) and Nano Banana Pro means you can now turn a handful of product images into full-motion video ads, for free, in no time.

Apparently, video creative is no longer a constraint. But does Asset Studio actually change the game? Read on to find out if it’s worth your time.

A tale of two Veos

Google is its own biggest cheerleader for the power of its AI images and video.

A recent Think with Google article showcases AI-generated ads for Cosmorama, a Greek travel agency. The videos are genuinely imaginative: think a flamenco dancer in the clouds, not just close-ups of headphones and sneakers.

As part of learning Asset Studio, I set out to reverse-engineer their approach. I wasn’t trying to match the quality. I just wanted a proof of concept using Nano Banana and Veo.

What I got instead was a series of dead ends.

• No scene-level control: I’d read that prompting plays a major role in video output. But there’s actually no prompt function for scenes in Asset Studio. You select an image from your Asset Library, and that’s it. Google decides how to animate it. There’s no way to direct motion, pacing, or narrative.
• Human performer restrictions: Video generation repeatedly failed with errors about “specific individuals.” I assumed that meant celebrities or real people. In practice, anything that resembled a human face — even AI-generated — triggered issues. The only assets that consistently worked were tightly cropped: hands, partial torsos, and abstract scenes.
• No real audio control: The Cosmorama video featured cinematic music. In Asset Studio, you’re limited to a small set of preloaded audio. There’s no way to upload custom music or meaningfully shape the sound layer.

After so many false starts, I returned to the article. It mentioned Nano Banana and Veo by name. It never said they were used inside Asset Studio.

When Veo 3 became available in Asset Studio, I didn’t realize how many limitations it would have, resulting in a completely different experience from the stand-alone version.

What’s available may still help you create some great 10-second motion ads, but don’t go into it expecting flamenco dancing.

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Does Asset Studio actually save time and effort?

That depends: Whose time? Whose effort?

For years, paid search managers had one move for visual assets: push back.

• “I need a vertical version.”
• “The first five seconds need to be more engaging.”
• “Can you remove the text overlay?”

Creative’s been a constraint, but always someone else’s constraint to solve. Asset Studio changes that. You can edit, adapt, and post YouTube video ads, even without access to the brand’s YouTube channel.

But the constraint doesn’t disappear. It just changes hands.

Managing creative strategy and production — even within Asset Studio — takes more time than not owning that role.

Using Asset Studio, I’ve manually adapted logos to new aspect ratios, generated variations that need further edits, and written voiceover scripts I never would have been involved in creating before.

And since production can’t exist without a strategy, I’m spending more time on that too. This is definitely game-changer territory, but maybe not the way you’d hoped:

• If you’re a brand that would otherwise need a production team: This is likely faster and more affordable than the alternative, satisfying the velocity mandate.
• If you’re an agency absorbing this work on top of an existing scope: You’re likely taking on a new responsibility that wasn’t priced in.

It removes a bottleneck and replaces it with ownership. If that shifts what your role actually covers, it’s worth revisiting your contract scope.

Will this get me in trouble? AI ad compliance explained

No federal laws in the U.S. prohibit the use of AI in ads. But that’s starting to change.

New York recently passed a law requiring advertisers to clearly disclose when an ad includes a “synthetic performer,” and it’s set to take effect in June 2026. (Hat tip to Sam Tomlinson for his LinkedIn post flagging this.)

Asset Studio doesn’t generate a visible watermark (such as the Gemini sparkle), and there’s no way to add an AI disclosure in Google Ads.

A couple of things worth knowing if you’re using Asset Studio specifically:

• You’re likely covered for now. Asset Studio can’t generate content with human performers. As mentioned above, anything resembling a face consistently triggers errors. That means the New York law’s “synthetic performer” provision wouldn’t apply to what Asset Studio actually produces today.
• There’s a watermarking layer. Google uses SynthID to invisibly tag AI-generated images. If disclosure requirements become more explicit, that infrastructure already exists to support it.

Asset Studio’s limitations may actually insulate you from the most immediate compliance concerns, but if you want to proactively disclose AI use for ethical reasons, there’s no built-in way to do that.

AI without the slop

Josh Spanier, Google’s VP of AI and Marketing Strategy, has this advice for marketers running AI-generated ads:

• “Stop fearing ‘AI slop.’ Humans made bad ads long before robots.”

Interesting suggestion, but not all of our clients and stakeholders will be quite so enthusiastic about paying to run AI slop ads.

Fortunately, tight control of Asset Studio images and video is easier than you might think. Unlike AI Max, where AI-generated assets can run before you’ve reviewed them, Asset Studio output isn’t automatically published. From your Asset Library, you choose which assets to run. The rest never see the light of day.

What you can produce in Asset Studio is somewhat limited, but here are some of the non-sloppy features I’m most excited about.

Image fidelity: Product images that actually look like your product

Asset Studio’s Nano Banana 2 is built specifically for product integrity. Unlike general-purpose AI image tools like Midjourney, it lets you add up to five reference images and effectively “locks” the product. Only the surrounding environment is up for reinterpretation.

Trim: Cut right to the action

Client-produced video is rarely built for YouTube. Long intros and slow builds lose viewers before the message lands. Trim lets you jump straight to the action, without going back to the client for a new cut.

Voiceovers and templates: Sleeper tools

For a tool suite that promises to replace a production department, Asset Studio’s constrained voiceover and template options may seem underwhelming. Voiceover only works with audio ads or pre-existing video, and templates feel like glorified slide decks.

But the more I reviewed the landscape of YouTube video ads, the more I realized: most companies struggle with messaging more than production quality. Low budget isn’t limiting sales, but bad scripts and concepts are.

Templates and voice-overs let you test the right words faster than waiting for a new creative brief and a published video.

In one campaign I’m running, an Asset Studio video I built in under 30 minutes using a template is already showing 10x the CTR of the client’s best-performing video.

Beating the control may not be the highest bar to clear, but it’s a start.

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The output isn’t the outcome

Is Asset Studio a game changer? Not yet. But I’m not sure it needs to be.

Positioning it as real competition against global creative brands sets everyone up for disappointment.

The more useful frame: it’s a tool suite that makes creative faster and more accessible for accounts that couldn’t justify a production budget before.

It does shift some of that strategy and production work onto the paid search manager who didn’t traditionally live in that role.

But the bigger question is: what does any of this actually lead to? The point of digital marketing creative isn’t to produce more assets. It’s to drive conversions and sales. That’s still what needs to be proven.

Tests are running now. I’ll share what holds up, and what doesn’t.

The European Commission proposed Google share data with rival search engines and qualifying AI chatbots in the EU/EEA.

The post Google May Have To Share Search Data With Rivals appeared first on Search Engine Journal.

Google has outlined best practices that can increase the likelihood of "Read more" deep links appearing.

The post Google Lists Best Practices For Read More Deep Links appeared first on Search Engine Journal.

ASRock has a unique solution to the DDR5 shortage ASRock has an interesting new solution to the DDR5 shortage. On Intel 600/700/800 series motherboards, HUDIMM memory support is now available. These new memory modules use only one of the DDR5 standard’s two 32-bit memory channels, enabling the production of more affordable modules. With DDR5 memory […]

The post ASRock aims to lower DDR5 memory pricing with new HUDIMM tech appeared first on OC3D.

NVIDAAlgorithms leveraging ReSTIR-style spatiotemporal reuse have recently proliferated, hugely increasing effective sample count for light transport in real-time ray and path tracers. Many papers have explored novel theoretical improvements, but algorithmic improvements and engineering insights toward optimal implementation have largely been neglected. We demonstrate enhancements to ReSTIR PT that make it 2-3x faster, decrease both visual and numerical error, and improve its robustness, making it closer to production-ready. We halve the spatial reuse cost by reciprocal neighbor selection, robustify shift mappings with new footprint-based reconnection criteria, and reduce spatiotemporal correlation with duplication maps. We further improve both performance and quality by extensive optimization, unifying direct and global illumination into the same reservoirs, and utilizing existing techniques for color noise and disocclusion noise reduction.

Before CDs went mainstream, recording one cost a small fortune. Made by Denon in 1991

Not just Samsung and SK Hynix, the third major memory maker, Micron, has also joined the race in producing the high capacity GDDR7 memory. Micron Starts Sampling 24 Gb (3 GB) GDDR7 Memory Modules Rated At 28 GT/s and 32 GT/s As Spotted on the Official Website Finally, the third major memory maker has also started working on its own 24 GB or 3 GB GDDR7 (we will use 3 GB instead of 24 GB throughout the article for making it simple) memory modules. Micron, which recently exited the consumer market as it aimed to focus more on the data […]

Read full article at https://wccftech.com/micron-3-gb-gddr7-memory-gpus/

LMSY shows why your website isn’t recommended by AI and where you’re losing customers. Most sites are visible but not selected because AI can’t clearly understand or verify them. LMSY scans your domain and reveals inconsistent messaging, missing entities, weak signals, and gaps in structured answers. It shows how AI interprets your site and why competitors get recommended instead. Then you get clear, actionable steps to fix your messaging, improve consistency, and become easier for AI to reuse and recommend.

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Manage cases, audit contracts, and stay legally current

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You’ve audited your client’s website and compiled performance data. You’ve identified what’s working, what can be improved, and your recommendations for future strategies. But how do you turn that data into a presentation that’s easy to explain and builds trust? 

Start with stories. Storytelling isn’t just for entertainment. It’s how people make sense of information. That’s what makes it so effective for data presentation. 

One of the simplest ways to structure that story is the three-act structure. It’s a familiar framework used everywhere, from Aristotle’s Poetics to Star Wars.

What is the three-act structure?

The three-act structure is a simple framework that shows how a story moves from beginning to middle to end. It shows how a protagonist moves from their starting point to a meaningful change.

Applied to data storytelling, it helps you organize your insights, position your client as the main character (the protagonist), and clearly show what happens next.

While similar to the five-point narrative arc, this framework is organized into three manageable sections: what the story is about, what happens when the main character is introduced to conflict, and how that conflict is resolved.

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Act 1: The beginning

This is where the protagonist’s norm and conflict — the issue the main character is meant to face, also known as the antagonist — are established. The protagonist wants something, and the conflict is holding them back from what they want. 

An event or circumstance occurs that incites the protagonist into action. The background is established, the goals are defined, and the audience is invested in the protagonist’s success.

Act 2: The middle 

The story is developed, and tension builds. The protagonist experiences roadblocks caused by the conflict/antagonist that hinder them from their ultimate goal. Conflict arises until it can no longer be ignored, causing a pivotal moment that leads into the final act.

Act 3: The end

The narrative is affected by the change in Act 2, bringing the story to a final showdown between the protagonist and the conflict/antagonist, ultimately resulting in a resolution. The protagonist may find closure or know what path lies ahead (this may set the stage for a sequel).

The three-act structure helps you understand website data on a deeper level. It also prepares the data to be presented to your client in a way that places them at the center of the story.

Using the three-act structure to identify your data’s narrative

Why bother using the three-act structure as a framework for strategy analysis? It builds trust, showing your client that you’re going on a journey alongside them. 

You and your client are on the same team, with the same destination in mind: their success, even if the data isn’t communicating immediate results.

The application of the three-act structure to data storytelling happens in three steps.

• Step 1: Briefly recap the existing strategies, establish previous wins, and identify the challenge currently affecting performance. This sets the baseline of Act 1.
• Step 2: Explain the roadblocks and how they stand in the way of the overall strategy’s success. This parallels the growing conflict found in the structure’s Act 2.
• Step 3: Recommend the next steps and how you plan to address the conflict. Show what success looks like by providing examples of how your recommendations fit the narrative of your client’s goals. This is Act 3, the resolution of the structure.

Where is your client’s story in the three-act structure?

Your client is the protagonist of their story. To work more effectively together, you need to communicate to your client that you’re invested in the story of their success. 

At the heart of each data set is the story of how your client is impacted. When you communicate what the data is saying, position yourself as the guide who helps the main character get where they need to go.

An example of applying the three-act structure framework to data analysis and presenting the data’s narrative would look like this:

The conclusion doesn’t always mean the end of the story

Finding the story in your data — and communicating it clearly — is how you build trust with clients.

Clients don’t want industry jargon. They want to feel seen, understood, and that they’ve entrusted their digital marketing success to the right person. Stories, and the connections they form, get them there.

Reaching the conclusion of your data’s narrative isn’t the end, but the beginning: the start of strategy implementation, of collaborative partnerships, and of greater results. 

When looking at data, you and your client are on a journey together. A downward trend in your data doesn’t mean your story is over, and an upward trend doesn’t mean there’s no hope for a sequel. In either case, a new journey (your next strategy) can begin.

AI has quickly become the most overconfident line item in the modern marketing roadmap.

Budgets are shifting. Teams are being restructured. Vendors are being evaluated almost exclusively through the lens of how “AI-powered” they appear. There is a growing assumption that once the right models are in place, performance will follow. Better targeting. Smarter segmentation. Higher conversion. More efficient spend.

It sounds almost inevitable.

But there is a quieter reality beneath the momentum. One that rarely makes it into boardroom conversations or conference keynotes.

Most organizations are not struggling to use AI. They are struggling to feed it.

And what they are feeding it is far less reliable than they think.

The uncomfortable truth about inputs

AI does not create truth. It scales whatever it is given.

If the underlying data is fragmented, outdated or manipulated, the model does not correct it. It operationalizes it. At speed. At scale. With confidence.

This is where the gap begins.

Marketers have spent years investing in data infrastructure, pipelines and orchestration layers. On paper, the foundation looks strong. There is more data available than ever before. There are more signals, more touchpoints, more attributes tied to every customer.

The assumption is that this abundance translates into readiness. But volume is not the same as validity.

A customer profile built from five disconnected identifiers is not a unified identity. An email address that exists in a CRM is not necessarily active, reachable or even tied to a real person. Engagement signals that appear recent may be the result of automated activity, privacy shielding or bot interaction.

AI models are not designed to question these inputs. They are designed to find patterns within them.

So, when the inputs are flawed, the outputs become convincingly wrong.

Identity is the fault line

At the center of this problem is identity.

Every AI-driven use case in marketing depends on the assumption that you know who you are analyzing, targeting or predicting. Whether it is propensity modeling, churn prediction, audience creation or personalization, identity is the anchor.

Yet identity remains one of the least stable components of the data stack.

Consumers move across devices, channels and environments constantly. They use different email addresses. They share accounts. They create new profiles. They disengage and re-engage in ways that are difficult to track cleanly. Over time, what appears to be a single customer often becomes a composite of partial truths.

Even within authenticated environments, identity degrades. Touchpoints go inactive. Behavioral signals lose relevance. Records persist long after the underlying reality has shifted.

Most systems are not built to continuously reconcile these changes. They capture identity at a moment in time and treat it as durable.

And AI inherits that assumption.

Which means many models are making decisions based on identities that no longer exist in the way they are represented.

The hidden impact of fraud and synthetic activity

Another layer omplicates the picture further. Not all data is simply outdated. Some of it is intentionally misleading.

Fraud is evolving alongside marketing technology. The barriers to creating accounts, generating engagement, or exploiting promotional systems have decreased significantly. Automated tools and AI itself have made it easier to simulate legitimate behavior at scale.

Fake accounts are not always obvious. They can pass basic validation checks. They can engage with content. They can move through funnels in ways that resemble real users.

From a model’s perspective, they are indistinguishable unless additional context is applied.

This creates a subtle but meaningful distortion.

Acquisition models begin to optimize toward patterns that include fraudulent behavior. Lifecycle strategies adapt to engagement that is not human. Performance metrics improve on the surface while underlying efficiency erodes.

The result is a feedback loop where AI reinforces the very issues it should be helping to solve.

And because the outputs look sophisticated, the problem becomes harder to detect.

Why traditional data strategies fall short

Most organizations are aware that data quality matters. Significant effort goes into cleansing, deduplication and normalization. Records are standardized. Fields are filled. Duplicates are merged.

These steps are necessary, but they are not sufficient. Clean data is not the same as accurate data.

A perfectly formatted email address can still be inactive. A deduplicated profile can still represent multiple individuals. A normalized dataset can still be missing critical context about behavior, risk or authenticity.

Traditional data practices tend to focus on structure. AI requires substance.

It requires an understanding of whether an identity is real, whether it is active, whether it is behaving in ways that align with genuine consumer patterns.

Without that layer, even the most sophisticated models are operating on incomplete information.

The illusion of readiness

This is how the mirage takes shape.

Dashboards show high match rates. Databases contain millions of records. Models produce outputs that appear precise. Campaigns are executed with increasing automation.

From the outside, it looks like progress.

But underneath, there are unresolved questions.

• How many of those identities are actually reachable today?
• How many represent real individuals versus synthetic or low-quality accounts?
•  How often are behavioral signals refreshed and validated?
• How much of the model’s learning is influenced by noise?

These are no longer rare. They are foundational.

And yet they are often overlooked because they sit below the level where most AI initiatives begin.

A different way to think about AI readiness

True AI readiness does not start with model selection. It starts with input integrity.

It requires a shift in focus from how much data you have to how much of it you can trust.

That trust is built on a few critical dimensions.

First, identity accuracy. Not just the ability to match records, but to ensure that those records reflect real, current individuals. This includes understanding when identities change, when they become inactive and when they should no longer be used as the basis for decisioning.

Second, activity validation. Knowing that a signal occurred is not enough. You need confidence that it represents meaningful human behavior. This is where distinguishing between genuine engagement and automated or manipulated activity becomes essential.

Third, risk awareness. Every dataset contains some level of fraud or abuse. The question is whether it is visible and accounted for. Without that visibility, models will absorb and propagate those patterns.

When these elements are in place, AI begins to operate on a different plane. Predictions become more reliable. Segments become more actionable. Optimization aligns more closely with real outcomes.

Where this creates advantage

Organizations that address these foundational issues are creating a structural advantage.

They are able to suppress low-value or risky identities before they enter the modeling process. They can prioritize outreach to individuals who are both reachable and likely to engage. They can detect and mitigate fraudulent behavior before it distorts performance metrics.

Over time, this compounds.

Models trained on higher-quality inputs learn faster and generalize better. Campaigns become more efficient. Measurement becomes more trustworthy.

Perhaps most importantly, decision-making becomes more grounded in reality.

This is where AI begins to deliver on its promise.

The path forward

There is no question that AI will continue to reshape marketing. The capabilities are real, and the pace of innovation is not slowing down.

But the idea that AI alone will solve underlying data challenges is a misconception. If anything, it raises the stakes.

Because AI does not just expose weaknesses in your data. It amplifies them.

The organizations that recognize this early are taking a more deliberate approach. They are investing in understanding their identity layer. They are prioritizing the validation of activity and the detection of risk. They are treating data not as a static asset, but as a dynamic system that requires continuous refinement.

They are not asking, “How do we apply AI to our data?”

They are asking, “Is our data worthy of AI?”

It is a more difficult question. It requires a deeper level of introspection. It challenges assumptions that have been in place for years.

But it is also the question that separates real readiness from the illusion of it.

And in a landscape where everyone is accelerating toward AI, clarity at the foundation is what ultimately determines who moves forward, and who simply moves faster in the wrong direction.

Research on 68 million AI crawler visits show what SEOs should do to improve AI search performance

The post 68 Million AI Crawler Visits Show What Drives AI Search Visibility appeared first on Search Engine Journal.

Intel to showcase next-generation PC gaming handhelds at Computex 2026 According to “information obtained by Videocardz“, Intel plans to debut new “ARC G3” and “ARC G3 Extreme” handhelds at Computex 2026. These new PC handhelds should utilise Intel’s Panther Lake silicon and Intel Xe3 graphics. It has been reported that Intel’s ARC G3 and ARC […]

The post Intel “ARC G3” handhelds to debut at Computex appeared first on OC3D.

Four years on, we revisit the Ryzen 7 5800X3D vs Core i9-12900K with modern games and DDR4 vs DDR5 configs. The result: still neck and neck, but memory choice now makes a real difference.

Intel is working with partners to release a cost-effective DDR5 memory design called HUDIMM, but it will lead to much lower performance. DDR5 HUDIMM Memory May Look Great For Budget Builders, But The Performance Impact Is So Huge, It Makes DDR4 Look Better Last week, Intel introduced a new DDR5 memory standard, along with its partners, called HUDIMM. The HUDIMM standard stands for Half-UDIMM & what it does is switch from two 32-bit channels that are featured on normal memory modules to just one 32-bit channel. This should allow memory makers to build cost-effective memory by populating half of the […]

Read full article at https://wccftech.com/hudimm-ddr5-standard-promises-cheaper-memory-but-testing-shows-half-bandwidth/

Shuhei Yoshida is among the most recognizable figures in the video games industry. Having been at Sony for decades, working as a producer on many beloved PlayStation games like Gran Turismo, Ape Escape, and The Legend of Dragoon, Yoshida-san eventually became the head of PlayStation Studios in 2008, stepping down in 2019 to Hermen Hulst (now one of the two SIE CEOs). However, this transition was rocky, as Yoshida-san confirmed during the 2026 edition of Australian games festival ALT: GAMES to have been fired from the role because he didn't listen to then CEO Jim Ryan. As reported by This Week in Video Games, Yoshida-san didn't mince words on the matter, […]

Read full article at https://wccftech.com/shuhei-yoshida-fired-refused-ridicoulous-demands-playstation/

Synthetic You builds a custom AI mentor prompt based on your psychology. In about 15 to 20 minutes, you answer six short assessments covering MBTI, Enneagram, Saboteurs, Human Design, Attachment, and Love Languages. Then you get your profile and a calibrated system prompt to use with ChatGPT, Claude, or Gemini. Use it without an account and pay once with no subscription, so your AI stops guessing and starts coaching you the way you respond best.

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Adamo delivers a low-latency teleoperation platform for mission-critical robotics. It connects to humanoids, autonomous vehicles, and robot arms to enable real-time remote control with about 40ms glass-to-glass latency and 99.5% uptime. A robust SDK with ROS and ROS2 support integrates quickly, while multi-path bonding and end-to-end encryption keep sessions stable and secure.

Adamo also provides a 24/7 global operator network and records synchronized video, telemetry, and commands, turning interventions into high-quality training data for imitation learning and model improvement.

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SK Hynix delivers double the bandwidth of traditional RDIMM modules with less power with its newest SOCAMM2 LPDDR5X modules SK Hynix has begun mass production of its new 192GB SOCAMM2 memory modules, using its next-generation 1cnm LPDDR5X low-power DRAM technology. These chips use SK Hynix’s 6th-generation 10nm process. SK Hynix claims they deliver significant performance […]

The post SK Hynix starts mass production on 192GB SOCAMM2 modules for Nvidia Vera Rubin appeared first on OC3D.

Nioh 3 is finally getting new additional content next week, on April 27, via a free update announced today in a new letter shared on the game's official website by Producer Kohei Shibata. "We would first like to express our gratitude to the many players around the world who have taken the time to play Nioh 3 since its release. We are currently hard at work developing future updates and DLC for the game," said Shibata-san in the new letter. "I would also like to take this opportunity to briefly introduce the free update scheduled for release on April 27. […]

Read full article at https://wccftech.com/nioh-3-april-27-update-high-difficulty/

AMD will be leveraging GlobalFoundries for the development of its MRM Co-packaged Optic solution for the next-gen Instinct MI500 AI accelerators. GlobalFoundries & AMD Working Together on Co-Packaged Optics Hardware For Instinct MI500 Accelerators CPO or Co-Packaged Optics (Silicon Photonics) is the next-generation solution that reduces reliance on copper and harnesses light to transfer signals. These CPOs are packaged alongside hardware accelerators such as GPUs and will be a key solution for next-gen AI factories, offering improved interconnect latency and creating high-bandwidth connections between CPU and GPU. Both AMD and NVIDIA will be leveraging these technologies for their next-gen AI […]

Read full article at https://wccftech.com/amd-taps-globalfoundries-for-mi500-co-packaged-optics/

AMD's 3D V-Cache CPUs deliver a huge boost versus the Non-X3D part in AI benchmarks, showcasing why they are best suited for RAG pipelines. AMD 3D V-Cache Vs Non 3D V-Cache CPU Benchmarks in AI Showcase a Massive Uplift For RAG Pipelines We know that there are two ways to do AI: the first is LLM, which is currently the most popular model. LLMs are AI models that have been pre-trained on a large set of data and feature various parameter sizes. But LLMs' limitations can be seen when it needs to generate responses on data it wasn't trained on. […]

Read full article at https://wccftech.com/amd-3d-v-cache-turns-ryzen-into-surprise-rag-ai-weapon-88-percent-boost-vs-non-x3d/

FeeTrace helps SaaS founders and finance teams uncover and cut Stripe fees. Connect a Stripe account with read-only OAuth, and it breaks down costs by transaction size, method, geography, currency, and product to reveal segments raising your effective rate. Its AI produces prioritized, step-by-step recommendations with estimated annual savings, then tracks implementation and trends over time. Get alerts, monthly investor-ready reports, and a clear roadmap to lower payment costs.

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Grape is an AI note-taking app that helps you capture ideas, organize knowledge, and find anything fast. It lets you chat with AI that can create, update, delete, and search your notes and folders. Use semantic search, voice recording with instant transcription, a rich block editor, and an infinite canvas for sketches. Turn notes into flashcards, adaptive quizzes, and mind maps. Start free with a local database you own, then upgrade for unlimited AI features and cross-device sync.

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Fast, private Open Source YouTube client

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MacOS menubar clipboard manager

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Where engineering meets seaweed

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Turn compliance into code with agentic AI

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Management platform for airport operations

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AI-powered Operating System for Maintenance Companies

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Enable high-risk industries w/ AI-led XR training solutions

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Measure and improve how your brand appears in AI search

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This morning, Japanese developer and publisher CAPCOM announced that its brand-new sci-fi intellectual property, PRAGMATA, is off to a great start, having sold more than 1 million units in its first 2 days on the market. In the press release, CAPCOM noted that the IP (which has been in development for a long time) was crafted by a team of younger developers who successfully created an innovative gameplay experience by fusing action gameplay with puzzle elements (the real-time hacking mini-game). To offset the lack of a pre-existing fanbase or brand recognition, CAPCOM implemented a series of marketing initiatives that paid […]

Read full article at https://wccftech.com/capcom-pragmata-1-million-copies-48-hours/

MSI has finally launched its updated 31.5" QD-OLED gaming monitors with Penta Tandem & AI Care sensor technologies. MSI Rolls Out MPG 322UR QD-OLED X24 and MAG 321UP QD-OLED X24 Gaming Monitors With Updated Specs For Gaming At CES 2026, MSI introduced two brand new 32" QD-OLED gaming monitors, the MPG 322UR QD-OLED X24 and MAG 321UP QD-OLED X24. Both of these monitors feature the latest 5-layer Tandem OLED architecture with EL Gen 3 technology, offering some of the best luminous efficiency and longevity in the market. Now, MSI is finally launching these two new designs. MPG 322UR QD-OLED X24 […]

Read full article at https://wccftech.com/msi-32-qd-oled-gaming-monitors-kill-purple-tint-boost-black-levels-prevent-oled-burn-in/

Google is preparing two brand new chips under its TPUv8 belt, one for training & one for inference AI workloads. Google TPUv8 Lineup Expected To Be Unveiled Next Week, Focusing on AI Inference & Training While Boosting The Semiconductor Supply Chain Reports indicate that Google is working on not one, not two, but three chips that will form the basis of its next-gen TPU and AI ventures. We already discussed two of these chips, the memory processing unit and the next-gen TPU series. Now, more details have emerged regarding what to expect from the next-gen TPU series. The TPUv8 AI […]

Read full article at https://wccftech.com/google-splits-tpuv8-strategy-two-chips-broadcom-training-mediatek-inference-duties/

Octripus is building a copilot for professional guides and travel creators. We help clients turn the time spent juggling messy links, notes, and voice messages into a beautifully structured, personalized travel guide created with the help of a smart assistant.

We focus on building the best tool to turn a travel creator's expertise into a media product they can use for promotion and additional income. Daily plans, place cards, logistics, and must-see spots are all included in a mobile-friendly format. Travel guides are easy to share across social networks or messaging apps.

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Optimize your brand for ChatGPT, Claude, and Gemini

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AI-powered pathology analysis with synthetic data

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AI for biomanufacturers

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The food social network to meet people over food

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Smarter agri-lending with real-time field visibility

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Context-aware Mac keypad to automate workflows + meetings

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Bring Claude into the physical world with maker hardware

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Instant, agent-driven spatial analysis and decision-making

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Tool-free modular 3D cubes to build anything in real life

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Time to allocate capital

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Opensource AI-native embedded development environment

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The Operating System for Execution

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Docusign for provable deletion - anywhere, everywhere.

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Measure the full AI SDLC. From token to production.

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Book local pros for quick & affordable help

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Run training that adapts based on the running you do

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Daily AI phone conversations for seniors, 24/7

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Manages invoices, reminders, + repayment plans autonomously

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AI model for transforming video into Time-Based Metadata

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Revenue clarity for growing businesses

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E-commerce accounting that runs itself

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Grow your revenue faster with signal agents

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Real-time quantification of greenhouse gas removals

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Self-custodial wallet built for AI agents

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Running PyTorch Natively on TPUs at Google Scale

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Step into the future of digital asset investing

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AI hiring assistant for recruiting agencies

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Swiss legal AI, built by lawyers for lawyers

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The AI-powered platform built for professional K9 teams

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AI workers for the procurement back office saving 90% costs

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Make 2D game art and playable games. No drawing. No coding.

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The end of microplastics

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Claro runs the AI agents that operate on your data

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Let users to summarize your website with their favorite AI

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An information operating system powered by local files

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Building digital sign language avatars & inclusive datasets.

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Self-hosted, AI-powered second brain for Android

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Why buy when you can Barter?

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AI-native Decision Intelligence for renewable investments

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Your company's AI Grant Consultant

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(site is a launching-soon placeholder)

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A murder of crows for your bug backlog

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Pin business, get interest, be found

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Global financial infrastructure for LatAm businesses

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World's first cloud sandbox Hermes Agent from MiniMax

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Real-time AI for sales that guides every deal

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Transforming Homecare, Everywhere!

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Darknet monitoring for infected computers and stolen data

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Send money like a Text Message. Powered by Stablecoins.

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Remote sensing and AI from space

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SK Hynix is now mass-producing SOCAMM2 memory with up to 192 GB capacities for NVIDIA & next-gen AI Data Centers. Prepped For NVIDIA's Vera Rubin & AI Data Centers, SK Hynix Begins Mass Production of SOCAMM2 Memory With 192 GB Capacities At CES 2026, SK Hynix announced that it had delivered its next-gen memory solutions, such as SOCAMM2, to NVIDIA for its upcoming AI data center solutions. Now, four months later, SK Hynix is announcing that it has begun mass production of the memory, and it will be utilized by NVIDIA's next-gen platform for AI. NVIDIA will be utilizing SOCAMM2 […]

Read full article at https://wccftech.com/sk-hynix-mass-produces-192-gb-socamm2-memory-for-nvidia-vera-rubi-ai-datacenters/

NonaGuard delivers security, performance, and upgrade risk analysis for Odoo instances so partners and agencies can spot issues early and prove value. It monitors all client environments from one dashboard, runs 200+ read-only checks, assigns a Pulse Score, and generates branded PDF reports with clear remediation steps. Connect Odoo 15–19 via AES-encrypted credentials, get smart alerts and AI insights, and turn findings into billable remediation work.

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Titra tracks GLP-1 medications like Ozempic, Wegovy, Mounjaro, and Rybelsus. It estimates serum levels using published pharmacokinetic data and benchmarks your results against clinical trials and an anonymous global community. You can log doses, rotate injection sites safely, record side effects with clinical context, and track weight, TDEE, and nutrition. It syncs with Apple Health or Google Health Connect and lets you generate PDF reports for your doctor. Data stays on your device, with no ads, and the app supports 24 languages.

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Co-oto lets families, friends, and small teams share a car with confidence. Create a group, book the vehicle in a shared calendar, and the app automatically splits fixed and variable costs based on usage. Track trips, log expenses with receipt photos, and view a clear history of bookings and spending. With Co-oto Teams, manage vehicles from a web dashboard, review statistics, and export data. Start free for 30 days and keep everyone aligned with a fair, transparent view.

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JephAI offers AI-powered CFA and FRM exam prep with an adaptive question bank, realistic mock exams, and real-time analytics. It personalizes practice, summarizes official study materials, and provides notes along with an AI tutor to clarify concepts quickly. Choose a simple monthly plan with a trial, track progress on dashboards, and build confidence to pass your finance exams.

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Samsung refused to jump onto the silicon-carbon (Si/C) battery bandwagon until the technology was truly ready for mass adoption, taking a morally upright stand that cost it dearly, especially in China, where local players have been happy to run with battery capacities as high as 10,000mAh. Now, however, one tipster believes Samsung has cracked the silicon-carbon battery longevity code, and that the Galaxy S27 series will "most likely" ship with such a battery, replete with a much higher capacity than the 5,000mAh level that seems to have become a norm for the South Korean tech giant lately. Samsung is going […]

Read full article at https://wccftech.com/samsung-galaxy-s27-will-most-likely-ship-with-a-silicon-carbon-battery-with-a-much-higher-lifespan/

DestList provides done-for-you travel planning that turns your preferences into a complete, ready-to-book trip. It blends smart AI with human travel curators to deliver, within 24 hours, a day-by-day itinerary with mapped routes and walking times, budget guidance, location-smart hotels, and budget-matched flights. Members also get destination discovery, visa checks, packing lists, weather alerts, and partner perks, so you can skip research and book with confidence.

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A Facebook group and an app that used publicly available information to highlight immigration agent activity have been granted a preliminary injunction, per Engadget.

Threads Chief Connor Hayes announced the update at Coachella and said it would be available in the app over the next few weeks.

The latest milestone, from the International Organization for Standardization, verifies that the app’s data management structures meet global benchmarks.

The change means the video sharing platform is also moving away from Clips, leaving users to seek out third-party advanced clipping tools.

New API enhancements are designed to make the company more profitable, but it’s hard to keep pace with the massive cost of artificial intelligence development. 

Instant Interview lets you practice job interviews out loud with an AI that listens, responds, and adapts in real time in your browser. Pick your role, interview type, and interviewer voice, then speak naturally as the AI asks tailored follow-ups and company-specific questions. After each session, Instant Interview scores your answers on STAR structure, speaking pace, filler words, relevance, and delivery. Track progress over time and use AI-rewritten answers to improve before the real thing.

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Arixify is a browser extension that puts your prompt library inside ChatGPT, Claude, Gemini, Perplexity, and 20+ AI platforms. One click inserts the prompt right at the cursor—no tab switching, no alt-tabs, no retyping.

Right-click any text on any webpage, select Add to Arixify, and it’s saved instantly. Your best prompts stop living in a Notion doc on page 47. The free version allows unlimited prompts and is 100% local with no account needed and no data leaves your device. Pro adds cloud sync across devices, folders, and star ratings.

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NanoCart lets you sell with a single shareable checkout link. Create branded product cards with photos, descriptions, and pricing, then share via link or QR across social platforms and messages. Accept payments through Stripe or PayPal, deliver digital files, take bookings, and track performance with built-in analytics and ad pixel integrations. Pay 0% platform commission and skip building a store to start selling in minutes.

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The M5, M5 Pro, and M5 Max MacBook Pro models are going to stay relevant for a longer period, as the M6, M6 Pro, and M6 Max range that was slated to arrive in 2026 could be pushed back until 2027. Similar to why Apple’s refreshed Mac Studio isn’t going to arrive in the first half of 2026, the ongoing DRAM shortage that’s also impacting NAND flash shipments will force potential buyers to hang onto their dollars for a longer period. The base M6 MacBook Pro could launch earlier, given that it won’t share a redesign, mimicking a similar launch strategy […]

Read full article at https://wccftech.com/m6-macbook-pro-launch-possibly-2027-due-to-component-shortages/

One of the likely places that you’ll find an excellent gaming laptop deal is Amazon, and with Capcom’s PRAGMATA doing the rounds and garnering excellent reviews, you’re definitely missing out on one of the most enjoyable experiences of 2026. What better way to begin your AAA gaming journey than by picking up MSI’s Vector 16 HX AI, which is equipped with a mobile RTX 5070 Ti and is going for $1,619.99 on Amazon after a mouth-watering $180 discount. Also, did we mention that you get a copy of the aforementioned game, because that’s just the icing on the cake. The mobile […]

Read full article at https://wccftech.com/msi-vector-16-hx-ai-gaming-laptop-with-rtx-5070-ti-get-free-pragmata-copy/

Linked Helper is a professional desktop solution with nearly 10 years of market leadership and a community of over 500,000 users. It automates lead generation and sales outreach on LinkedIn by combining a smart-message funnel builder with a built-in CRM. The platform also features AI-powered message generation to create personalized templates, allowing users to automate over 31 LinkedIn actions while keeping accounts secure.

Trusted by over 500,000 users, Linked Helper is an advanced and secure desktop tool for LinkedIn lead generation.

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With PC games growing increasingly complex nowadays — especially ones built on Epic Games's infamous Unreal Engine 5 — default/maxed-out graphics settings rarely (if at all) strike the optimal balance between visual fidelity and performance that most PC gamers seek, and Cthulhu: The Cosmic Abyss is no exception to this rule. As a demanding UE5 game, it should come as no surprise to many that the game's maxed-out/Epic graphics settings will be very GPU-heavy, and thus should require some tweaking to achieve better performance on most rigs, without hopefully completely sacrificing visual fidelity. This guide should hopefully help you strike […]

Read full article at https://wccftech.com/how-to/cthulhu-the-cosmic-abyss-pc-performance-analysis-tuning-guide/

X Chatbots is a curated directory of adult AI tools focusing on NSFW chatbots, virtual girlfriends, and image/video generators. Browse top platforms with in-depth reviews, ratings, categories, and quick links to free trials. Compare features like uncensored roleplay, sexting, image and video generation, and voice, then click through to start chatting. Find the right companion fast with clear summaries and community feedback.

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LeadLeap helps founders and small teams find their first users quickly. You describe your product in plain English, and an AI agent searches millions of contacts, reads company websites, scores results, and returns real people likely to buy. The platform drafts personalized emails, validates addresses with multi-stage checks, and tracks intent signals from hundreds of sources so you know when to reach out. You can export, automate, and book meetings without dealing with filters.

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Looks like we are going to see DDR5 prices not going down for months or years as the relief memory kits witnessed in Germany was short lived. DDR5 Memory Kits See a Slight Price Hike in April After Dropping the Last Month in Germany; 48 GB DDR5-6000 Witnesses the Highest Price Growth The DDR5 memory isn't seeing any relief, and even though the market seems to have stabilized in recent weeks, reports suggest that we might see more hikes in the coming months. If you remember, we published a report last month showing how the average DDR5 prices have dropped […]

Read full article at https://wccftech.com/ddr5-prices-in-germany-snap-back-to-410-of-july-levels-crushing-hopes-that-marchs-drop-meant-relief/