'We're supposed to start prepping on it soon': The Mummy 4 gets its first tease from Ready or Not 2 directors — it's going to be chaotic
While Microsoft rethinks where they've failed with Windows 11, many users rely on tools like Open Shell, Start11, StartAllBack, and ExplorerPatcher to take back control of the UI. Open Shell remains a free favorite with a customizable Windows 7-style menu, while Start11 and StartAllBack offer more polished tweaks for modern systems. ExplorerPatcher rounds things out as another powerful free option.
Zonscope compares prices across Amazon’s European stores to help you buy for less. Enter a product name or paste an Amazon link, and it scans France, Germany, Italy, Spain, the UK, Belgium, and Sweden in real time, then ranks countries by total cost including shipping.
Zonscope links you straight to Amazon for final purchase, so you can use your existing account. It highlights top deals and best sellers, explains taxes and customs for cross-border orders, and helps you avoid overpaying with clear, side-by-side pricing.
LearnClash is a competitive quiz duel app where you pick any topic and battle 1v1. Choose from thousands of subjects, from quantum physics to pop culture, and face questions matched to your skill level. An ELO rating system tracks your progress across eight tiers from Iron to Phoenix, so every match feels balanced. Built-in spaced repetition turns every duel into lasting knowledge. Challenge friends directly or get matched with rivals worldwide. Climb leaderboards, unlock rewards, and complete daily quests. Premium unlocks unlimited duels and exclusive features starting at $2.99/week.

LG Display claims up to 48% battery life increase with its Oxide LCD laptop displays LG Display has started mass-producing LCD laptop displays with its Oxide 1Hz technology, offering users refresh rates of 1-120Hz and up to a 48% increase in system battery life. This new laptop display tech can intelligently detect the system’s usage […]
The post LG Display starts mass-producing game-changing 1-120Hz Laptop displays appeared first on OC3D.
InsideSync brings your calendar, tasks, health, personal finances, and goals into one place so your life finally feels in sync. It's not just a tracker; it helps you make better decisions and takes action for you. The Balance Score gives you a clear view of your productivity, wealth, and wellbeing, so you can see what needs attention and what to improve. Every metric is personalised to what matters to you. Sylia, your AI companion, understands your mood, sleep, steps, focus, and spending, then schedules meetings, blocks deep work, and nudges you at the right moments. By seeing the full picture, InsideSync helps you stay on track, feel more in control, and move faster towards your goals.
The EU’s top antitrust enforcer signaled a decision on whether Google is violating the Digital Markets Act is imminent, without committing to a timeline.
What she said. “It will come,” Competition Commissioner Teresa Ribera told Dow Jones Newswires, adding the cases are complex and the commission is committed to decisions based on evidence and fair procedure.
The backdrop. The European Commission launched its probe into Google’s search business in March 2024 under the Digital Markets Act. The commission gave itself a soft 12-month deadline to wrap up — it has already fined Meta and Apple, but Google’s case remains unresolved nearly two years in.
The pressure is mounting. Eighteen lobby and civil society groups wrote to Ribera this month demanding clear remedies and a fine large enough to make non-compliance unprofitable.
Why we care. A ruling against Google under the Digital Markets Act could force major changes to how it operates search in Europe — potentially reshaping how ads are served, ranked, and priced in one of the world’s largest markets. If remedies include structural changes to search or ad tech, it could affect campaign performance, targeting, and competition dynamics across the board. If you have European audiences, watch this closely — the outcome could ripple through Google’s global ad ecosystem.
Meanwhile, this week. Ribera is in California meeting Sundar Pichai, Mark Zuckerberg, Sam Altman, and Amazon’s Andy Jassy before heading to Washington, D.C., for talks with the acting head of the Justice Department’s antitrust division.
The big picture. Google isn’t the only one in the crosshairs. The commission has additional open probes into how Google powers AI Overviews and ranks news publishers, and is separately investigating Meta over restrictions on rival chatbots using WhatsApp’s business software.
Bottom line. The EU has been slow to act on Google, but pressure is clearly building. When the decision lands, it could set a significant precedent for how the Digital Markets Act is enforced.
With AI, you can generate dozens (if not hundreds) of articles in hours and publish at scale. But publishing is the easy part. What happens after they go live is what matters.
Together with the research team at SE Ranking, we ran a 16-month experiment to track how well AI-generated content performed on brand-new domains with zero authority.
As you will see, the results are hard to call a success.

Here’s the full story behind our experiment.
The goal was simple: test how far AI content — with no human editing, rewriting, or enhancement — could go in search.
How quickly would it get indexed? Could it rank for relevant queries? Most importantly, could it drive traffic?
We started by purchasing 20 new domains with no backlinks, domain authority, brand recognition, or search history.
Each domain focused on a different niche, covering topics such as:
For each niche, we gathered 100 informational “how-to” keywords—long-tail terms with lower competition.
Each site received 100 AI-generated articles, totaling 2,000 pieces across the experiment.
After publishing, we added the sites to Google Search Console and submitted sitemaps.
From that point on, we left the sites untouched to observe performance over time.
Month 1: indexing and early visibility
About 71% of new AI-generated pages were indexed within the first 36 days. They generated over 122,000 impressions and 244 clicks. Even at this early stage, 80% of sites ranked for at least 100 keywords each.
Months 2–3: growth continues
Cumulative impressions grew to over 526,000, with 782 clicks. Content continued to perform well without backlinks, promotion, internal linking, or additional SEO tactics.
Months 3–6: ranking collapse
By about three months, only 3% of pages remained in the top 100. Early relevance helped pages get indexed and briefly appear in search, but without authority, uniqueness, or E-E-A-T signals, rankings dropped sharply. Google still indexed the pages, but users rarely saw them.
Month 16: long-term stagnation
After over a year, visibility remained low across most sites. Impressions and clicks were minimal, and no site showed meaningful recovery. After the August 2025 Google spam update, pages ranking in the top 100 rose to 20% — up from 3% at six months.
Just over a month after publication (36 days), the first results came in — and they were stronger than expected for brand-new sites.
Of 2,000 articles, 70.95% were indexed (1,419 pages). For zero-authority domains, that’s notable, as getting new sites fully indexed is often a challenge. This shows Google is still willing to crawl and index AI-generated content in most cases.
Some sites performed particularly well. Eleven of the 20 domains had all 100 pages indexed.
Along with indexation came early visibility. During this first month, the sites collectively generated:
Several niches stood out generating more than 10,000 impressions in the first month alone.



In terms of keyword coverage, many sites performed surprisingly well within the first month. Eight sites ranked for more than 1,000 keywords, while another eight ranked for 100 to 1,000.
Even at this early stage, 80% of sites with fully AI-generated content appeared in search for hundreds or thousands of queries.
Notably, over 28% of ranking URLs were already in the top 100. Within the first month, many pages reached positions where searchers could see them.
Overall, these results show AI-generated content can gain traction quickly—even without backlinks, editorial input, or additional SEO work. In the short term, content alone was enough to get indexed and appear in search.
This early visibility wasn’t short-lived. Over the following weeks, impressions and clicks kept growing as Google Search discovered and tested pages.
By about two and a half months after publication, cumulative results across all sites had grown:

Keyword coverage also expanded:
This pattern is typical for new sites. When Google finds fresh content that matches real queries, it tests that content across results. Pages appear for related queries as Google evaluates their helpfulness.
That’s what happened here. Even without backlinks, internal linking, or SEO improvements, the content gained exposure because it targeted low-competition queries and followed basic SEO structure.
At this stage, it could look like a strong case for large-scale AI content. The sites were new, the content fully AI-generated, and impressions kept rising.
But the growth didn’t last.
Around Feb. 3, 2025, roughly three months after publication, the experiment hit a turning point.
In practical terms, the content remained indexed but rarely appeared where users could see it.
Early relevance can help pages get indexed and appear in search results for a time. Without stronger signals — authority, E-E-A-T, unique insights — those rankings are hard to sustain.
By the six-month mark, Google Search Console showed the following cumulative totals across all sites:
At first glance, these numbers suggest continued growth. But that’s not what happened.
Most activity occurred early. In the first 2.5 months, the sites generated roughly 70% to 75% of total impressions and clicks. Over the next 3.5 months, growth slowed sharply, adding only 25% to 30%.
The experiment ran for over a year to see if rankings would recover.
For the most part, they didn’t.
After the drop around the three-month mark, visibility remained extremely low for the rest of the experiment.

There were a few brief fluctuations. The most notable came in late August 2025.
Starting in August, 50% of sites (10 out of 20) saw a two-week spike in impressions. This closely aligned with the rollout of the Google August 2025 spam update, which began Aug. 26.

However, the boost didn’t lead to a sustained recovery.
Among the sites that saw a short-term lift:

Following the update, pages ranking in the top 100 rose to 20% — up from 3% at six months. This remained below the 28% seen in the first month, but the August 2025 spam update appeared to have improved some rankings.
In total, 66.9% of pages were still indexed, up slightly from 61.45% at six months.
The following sites had some of the lowest numbers of indexed pages:
This is likely due to their YMYL nature, where Google applies stricter quality and trust standards.
By month 16, cumulative results across all sites were:
Most impressions still came from the early growth phase, before rankings dropped.
The most obvious explanation is that the content didn’t meet Google’s quality standards — and understandably so.
The 2,000 articles lacked many signals Google uses to assess quality and trust:
Google can identify AI-generated patterns. Without authority, uniqueness, or supporting signals, early visibility declines.
In early March 2026, we ran a follow-up experiment, adding new AI-generated content to eight tracked sites.
As of March 13, not all new content has been indexed. However, sites with new content already show a noticeable increase in search impressions.
Interestingly, this lift comes primarily from older posts, not the newly published ones.
For example:



This experiment shows that publishing new content—even fully AI-generated—can lift traffic to older pages that had been stagnant for months. Fresh content may signal to Google that the site is active and up to date, giving the site a temporary boost.
However, these are early results and don’t guarantee lasting gains in rankings or traffic.
The results of this 16-month experiment don’t mean AI content is useless. They show AI alone isn’t enough to drive lasting impact.
Early traffic and impressions may look promising, but without a clear SEO strategy and human guidance, those gains will likely fade within a few months.
AMD launches its improved FSR SDK with FSR 4.1 upscaling and Ray Regeneration version 1.1 AMD has officially released its FSR SDK 2.2, adding support for its newest versions of FSR ML Upscaling and Ray Regeneration. With this update, FSR 4 is upgraded to FSR 4.1, and Ray Regeneration 1.0 is updated to 1.1, enabling […]
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Our full reviews of the new Intel CPUs are coming this week, but early ones already point to a meaningful refinement of the Arrow Lake lineup, with improved efficiency, higher core counts, and stronger overall value. Most agree the chips are capable all-rounders, particularly at their aggressive $199 and $299 price points.
The AMD Ryzen 7 9800X3D has dropped to its lowest price yet, now around the $420 mark, making one of the fastest gaming CPUs even more compelling. Built around AMD's 3D V-Cache technology, it continues to deliver exceptional gaming performance and strong efficiency, standing out in a crowded market.
Industry Social is a social network for B2B SaaS companies to connect with each other. We believe genuine connections, not algorithms for outreach or engagement, are how companies should collaborate.
We especially want to help upcoming startups that find it difficult to collaborate with other companies and feel disheartened when selling to other businesses. Any company can register, discover companies to procure from, sell to, or collaborate with. You have direct access to communities of similar companies globally across the value chain, with no ads, no premium tier, and no strings attached.
A quiet but important change is coming to the Google Ads API that will affect how advertisers and developers create Lookalike user lists, especially for Demand Gen campaigns.
What’s changing. Google will enforce a uniqueness check on Lookalike user lists, blocking duplicate lists with the same seed lists, expansion level, and country targeting. Attempts to create a duplicate will return an API error after April 30.
Why we care. If you use automated scripts or third-party tools to generate audience lists, an unhandled error could quietly break your campaign workflows if you don’t update integrations in time.
What you need to do.
DUPLICATE_LOOKALIKE error code in v24 and above, or RESOURCE_ALREADY_EXISTS in earlier versionsBottom line. This is a housekeeping change to keep Google’s systems stable, but the April 30 deadline is firm. If you manage campaigns programmatically, treat this as a technical to-do before the end of April.
Google’s announcement. Upcoming changes to Lookalike user lists in the Google Ads API, starting April 30, 2026
OpenAI is moving forward with ads in ChatGPT, but early adopters say it isn’t ready for serious performance marketing.
The big picture. ChatGPT’s ad product shares almost no data, lacks automated buying tools, and offers minimal targeting—leaving advertisers with little ability to measure whether their spend is doing anything, The Information reported.
What advertisers are dealing with. SEO consultant Glenn Gabe outlined the issues:
Why we care. If you’re considering ChatGPT as an ad channel, the lack of performance data means you’re spending blind — with no reliable way to prove ROI to clients or stakeholders. As OpenAI prepares to scale ads to all U.S. free users, the audience will grow, but measurement tools haven’t caught up. If you jump in now, keep expectations tight and treat it as experimental budget, not a performance channel.
What’s coming. OpenAI told advertisers it plans to show ads to all U.S. users on free and low-cost ChatGPT tiers in the coming weeks — a major expansion. It also advised that performance may improve if you supply more variations of text and visual creative.
The irony. OpenAI builds some of the world’s most sophisticated AI, but its ad reporting tools are stuck in the spreadsheet era.
Bottom line. ChatGPT ads are about to reach a much larger audience, but there’s no way to prove they have value yet. If you enter now, you’re largely flying blind — and paying for it.
Credit. Gabe shared highlights from The Information‘s article (subscription required) on X.
In a recent keynote at the Industrial Marketing Summit, Rand Fishkin argued that we’re marketing in a “zero-click world.” His observation captures an important surface-level trend: fewer users are clicking through to websites.
The deeper shift, however, is structural. What has changed is the way information is evaluated, repeated, and trusted across the web — and that’s where many are drawing the wrong conclusion.
As clicks decline, it can look like websites matter less. In reality, their role in shaping what gets seen and trusted may be increasing.
From a traffic perspective, the trend is unmistakable. Clicks are declining in many contexts.
Part of the reason the zero-click discussion resonates so strongly is that it disrupts the way we’ve historically measured visibility. For more than two decades, traffic and click-through rates have served as the primary signals for forecasting performance and evaluating the impact of search.
When answers appear directly in search results, AI summaries, or platform conversations, those interactions often occur outside the analytics frameworks we’re accustomed to using.
The conclusion many draw from this trend — that websites matter less — is an incomplete assessment. The role of websites is changing, but their importance in the information ecosystem hasn’t disappeared. In some ways, it may be increasing.
The reason has to do with how modern information systems determine what to trust. Large language models and AI-driven search interfaces don’t evaluate truth the way humans do. They rely on probabilistic signals drawn from the information available across the web.
When the same message appears consistently across multiple independent sources, the statistical likelihood that the information is correct increases. Visibility in this environment is determined by where information appears.
Dig deeper: Why surface-level SEO tactics won’t build lasting AI search visibility
The fragmentation of discovery is real. Information consumption now happens across many environments: search results, social feeds, community forums, video platforms, and AI interfaces.
Users frequently encounter answers without needing to click a link.
From a traditional web analytics perspective, these interactions can appear as lost traffic. However, focusing exclusively on clicks misses the more important question: where does the information itself originate?
The environments where people consume information are expanding, but the underlying knowledge those systems rely on still has to come from somewhere.
The critical distinction you need to understand is the difference between traffic and information influence.
AI systems don’t generate answers out of thin air. They construct them from patterns learned across the open web.
When an LLM answers a question about a legal issue, a technical concept, or a marketing strategy, it draws on the analysis, explanations, and original thinking that publishers have already placed online.
Even in a zero-click environment, those sources continue to exist. They continue to shape the answers. The difference is that influence increasingly occurs earlier in the information pipeline, before the user even reaches a website.
Fewer clicks don’t mean fewer sources. In practice, it often increases the value of authoritative sources because AI systems depend on them to construct coherent responses. Without expert explanations, detailed analysis, and original insight, there’s nothing for the system to synthesize.
Dig deeper: Is SEO a brand channel or a performance channel? Now it’s both
In discussions that follow the “zero-click world” framing, the recommendation is that brands should focus more heavily on platforms they don’t control — social networks, communities, and other forms of “rented land.”
Brands can think of their visibility footprint as two categories of territory:
Owned land includes assets such as a company website, product documentation, knowledge bases, and other first-party content environments. These are places where a brand controls the structure, the message, and the permanence of the information.
Rented land includes platforms such as LinkedIn, Substack, industry publications, forums, podcasts, and social media environments where the brand participates but does not control the underlying platform.
In an AI-mediated discovery environment, both types of territory matter. Owned land provides the canonical source of information. Rented land distributes that information across the broader ecosystem where AI systems encounter it.
These platforms are powerful environments for discovery, amplification, and conversation. They are often where audiences encounter brands for the first time and where ideas circulate widely. However, they rarely serve as the place where authority itself is established.
Authority tends to emerge from deeper forms of publishing:
These forms of content typically live on first-party websites, where ideas can be developed fully and preserved as reference points. Rented platforms still influence how AI systems interpret information, but their role differs from that of first-party publishing.
When a brand, concept, or explanation appears consistently across multiple environments — first-party sites, industry publications, social platforms, and other third-party mentions — the association between that entity and the idea becomes stronger.
Repeated exposure stabilizes the relationship between the brand and the concepts connected to it. As a result, the likelihood that the brand will be included in an AI-generated answer increases.
Platforms amplify the signal. First-party publishing is where the signal originates.
Dig deeper: How paid, earned, shared, and owned media shape generative search visibility
Another misconception in the zero-click discussion is the assumption that AI systems primarily rely on aggregated or repackaged information. In practice, the opposite often occurs.
When AI systems generate answers, they frequently rely on sources that provide clear explanations, detailed reasoning, and subject-matter expertise. These characteristics are more common in original publishing than in aggregated content.
Legal blogs, technical documentation, research publications, and expert commentary often perform well in AI citations because they provide usable knowledge. The material contains context, reasoning, and structured explanations that models can extract and synthesize.
Aggregated summaries frequently lack that depth. Without detailed explanation or original analysis, the content provides limited value for AI systems attempting to construct coherent answers.
The result is a quiet shift in visibility. Domains that consistently publish authoritative explanations may become more influential in AI-generated answers, even if traditional click-based metrics decline.
Websites still matter, but their role is changing. They’re no longer just traffic generators.
In an AI-mediated information ecosystem, websites function as knowledge sources, training signals, and citation anchors — where expertise is documented, and ideas originate.
Platforms distribute those ideas, conversations amplify them, and AI systems synthesize them into answers. The source of the underlying knowledge, however, still matters.
The marketing implication is straightforward. Success can’t be measured solely by clicks. The objective is to ensure that credible expertise exists in durable forms that can be discovered, referenced, and synthesized wherever information surfaces — whether in search results, AI-generated responses, or discussions on other platforms.
Content that is clear, authoritative, and genuinely useful will continue to shape the answers people receive. In a zero-click world, influence simply happens earlier in the information pipeline.
Dig deeper: Content marketing in an AI era: From SEO volume to brand fame
Capcom claims that it doesn’t plan to use AI-generated materials as part of “game content” As part of a new Q&A with investors, Capcom has confirmed that it has no plans to utilise assets made by AI in its games. However, this does not mean that Capcom is entirely anti-AI. After all, Capcom’s Resident Evil […]
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Most SEO discussions today center on AI — from AI Overviews to ChatGPT and other LLMs — and the concern that they’re taking traffic from business websites, forcing a shift toward GEO or AEO.
For the most part, that concern is valid. AI is reducing traffic for many sites, especially those that rely on top-of-funnel, informational content. But the data suggests AI may not be the biggest shift.
User behavior has been fragmenting across platforms for years, and I see this play out in agency work every day.
Here’s what the data shows about how search behavior is changing across platforms, and why a “search everywhere” strategy matters more than focusing on LLMs alone.
People search TikTok for restaurants, YouTube for tutorials, Reddit for authentic reviews, and Amazon to buy products. In many cases, these platforms are replacing traditional search engines like Google and Bing as the starting point.
This shift isn’t just about behavior — it shows up in traffic, too. Amazon and YouTube still drive far more desktop traffic than ChatGPT, a trend Rand Fishkin recently highlighted.

Recently, I helped run a comprehensive share of voice analysis for a client. The goal was threefold:
The analysis revealed a lot of helpful data, but one of the most interesting takeaways was that our core competitors weren’t actually our biggest competitors in traditional search. YouTube and Reddit were.

These platforms rank well in traditional search, take up valuable SERP real estate, and move users away from Google and Bing to funnel them back to their own platforms.
The analysis highlighted a key point: if you don’t focus any effort on these places, you’re not only missing out on visibility in traditional search, but you’re also missing valuable attention when users navigate off Google and start watching videos or reading threads.
And this website isn’t the only one seeing this type of trend. Do this type of analysis yourself, and see who your actual competitors are within traditional search. The answers may surprise you.
Dig deeper: Why social search visibility is the next evolution of discoverability
As seen above, platforms like YouTube and Reddit are increasingly occupying traditional SERP real estate. But what about searches within the platforms themselves? Depending on the query, there may be far more search volume on these platforms than on Google or Bing.
For example, YouTube dominates in tutorials and “how-to” content. A term like “how to fix a leaky sink faucet” has 15x the search volume on YouTube than it does on traditional search globally.


Search volumes are estimates. But if you want to get in front of the right people where they’re searching, any content strategy around a term like this, or a similar topic, must include creating a YouTube video.
Better yet, to be search-everywhere-friendly, create a blog post and embed that video in it.
Dig deeper: YouTube is no longer optional for SEO in the age of AI Overviews
Aside from traditional search and in-platform search, we also know that “search everywhere” influences AI-generated results.
To provide answers, LLMs need content to synthesize. More often than not, that content isn’t coming from business websites, but from third-party sources and social platforms.
AI visibility tools can quickly show businesses the power of search everywhere in relation to citations. Take a look at these examples:


These are two completely different brands, yet the trends are the same: a very small percentage of citations come from your own website or even direct competitors.
In both examples, almost 90% of citations come from third-party news and online publications, or social and forum platforms like Reddit or Quora.
The takeaway here is that focusing on your own website, in the context of LLM citations, can only go so far. If you want to improve brand sentiment or ensure that information is accurately reflected by AI, it needs to happen in places outside of your direct control.
Dig deeper: SEO’s new battleground: Winning the consensus layer
The competitive landscape is shifting, and many marketers have tunnel vision when it comes to AI. Discovery now happens across a wide range of platforms.
YouTube, Reddit, Quora, and others dominate significant portions of traditional search results and may have far more search activity within their own platforms. When AI systems generate answers, they often pull information from these platforms rather than brand websites.
To win in modern search, you need to understand where your audience is actually searching. That doesn’t stop at Google. It means showing up everywhere that shapes decisions.

The numbers tell a story that most agency owners already know in their gut: AI anxiety is rising fast.
In 2024, 44% of digital marketing agencies viewed AI as a significant threat to their business model. Just one year later, that number jumped to 53%, according to SparkToro’s annual State of Digital Agencies survey of hundreds of agency owners worldwide.
But here’s what makes this particularly painful: agencies aren’t just watching AI disrupt their industry from the sidelines. They’re actively using it themselves, automating tasks, reducing costs, and hoping to improve margins. All while their clients are doing the exact same thing, using AI to justify slashing budgets or bringing work in-house entirely.
It’s a squeeze play from both directions, and agencies are caught right in the middle.
When AI tools like ChatGPT and Claude first exploded onto the scene, many agency leaders saw opportunity.
Finally, a way to automate the repetitive, time-consuming work that ate into profitability. Content briefs, initial drafts, performance reports, basic ad copy, all could be accelerated or partially automated. The math seemed simple: use AI to do more work with fewer people, pocket the difference, and stay competitive on pricing.
Except clients did the same math — and they reached a different conclusion. When brands can spin up decent content, analyze campaign performance, or generate ad variations with a few prompts, the question becomes unavoidable: why are we paying an agency for this?
“Several services that agencies once charged a premium for are now performed in-house or by automation software,” notes Al Sefati, CEO of Clarity Digital Agency, who’s been vocal about the pressures facing boutique agencies.
Earlier this year, Sefati had clients “put marketing on pause” despite strong performance metrics. A manufacturing client backed out of a contract entirely due to tariff uncertainty. When budgets get tight, and AI makes certain marketing tasks feel commoditized, agencies become an easy line item to cut.
Agencies adopt AI hoping to increase profits by doing more with less staff. But clients expect the cost savings to flow to them, not the agency’s bottom line.
The result? Shrinking retainers across the board.
SparkToro’s research shows that sales cycles are lengthening, more agencies now report deals taking 7-8 weeks or even 12+ weeks to close, up significantly from 2024.
Prospects are taking longer to commit because they’re doing their own internal math: “If AI makes this cheaper and faster, shouldn’t we pay less?”
Meanwhile, client expectations haven’t decreased at all. In fact, they’ve intensified.
Progress is no longer good enough. Brands now demand tangible business outcomes, pipeline impact, revenue attribution, and demonstrable ROI on every dollar spent.
So agencies are stuck: use AI to stay efficient and risk commoditizing their own services, or refuse to adopt it and get outpaced by competitors and in-house teams who will.
Dig deeper: Why AI will break the traditional SEO agency model
Perhaps the most concerning finding from the research: 66% of agency owners worry that junior team members will have fewer career opportunities in the future. This goes beyond entry-level headcount to the entire talent pipeline.
Historically, agencies have relied on junior staff to handle the repetitive, foundational work, keyword research, content optimization, reporting, and campaign setup. These weren’t glamorous tasks, but they were essential training grounds. Junior marketers learned the craft by doing the work, eventually graduating to strategy and client leadership.
AI is rapidly automating precisely those tasks. And while that might seem like a net positive for efficiency, it creates a devastating long-term problem: where do future senior strategists come from if there’s no ladder to climb?
The war for senior talent is brutal. Top strategists, creatives, and media planners know their worth and demand premium compensation. Meanwhile, clients push back on fees.
The math doesn’t work unless agencies can maintain lean teams, which AI theoretically enables.
But five years from now, when those senior people retire or move on, who replaces them? If an entire generation of marketers never got hands-on experience because AI was doing the work, the industry risks hollowing itself out.
Despite the disruption, there’s a clear pattern in what’s working for agencies weathering this transition.
The research shows that larger agencies (51+ employees) are reporting healthier sales pipelines than their smaller counterparts. Part of this is resources, larger shops have dedicated sales teams, and can absorb economic volatility better.
But there’s something else at play.
Agencies that are surviving, and in some cases thriving, are the ones who’ve stopped trying to compete on execution alone. They’re selling something AI can’t easily replicate: strategic thought, real-world market experience, nuanced storytelling, and intelligent execution tied directly to business outcomes.
“Clients desire teams that really understand their industry,” Sefati observes.
The trend is clear: specialization is no longer optional. Generalist “we do everything” agencies are struggling most. Those with deep vertical expertise, B2B SaaS, financial services, healthcare, and ecommerce, are proving that context and strategic insight still command premium fees.
This matters because AI is phenomenal at pattern recognition and execution within known parameters. But it struggles with the messy, ambiguous work of understanding a client’s competitive position, reading market dynamics, or crafting positioning that actually resonates with a specific audience.
The problem? Many agencies haven’t made this transition yet. They’re still selling and delivering services that feel interchangeable with what AI, or a capable in-house team with AI, can produce.
Dig deeper: What successful brand-agency partnerships look like in 2026
A few years ago, simply having the technical skill to launch a Google Ads campaign or set up marketing automation gave agencies an edge. That’s no longer true.
As martech platforms have become more complex and AI tools grow faster, more brands have built competent internal teams. The bar for what counts as “differentiated agency value” has risen dramatically.
This is why the sales pipeline data is so revealing.
These numbers have improved marginally from 2024 (when 36% said “not good”), but we’re talking about incremental gains in a fundamentally challenged environment.
Smaller agencies, those with 1-10 people, are hit hardest. They typically lack dedicated sales staff, so business development competes with client delivery for founders’ time. And when budgets tighten, brands consolidate with larger, more specialized agencies that feel less risky.
Focus on these priorities as client demands rise and margins tighten.
Don’t fight AI or pretend it doesn’t exist. Be brutally honest about what AI has already commoditized, and ruthlessly focus on what it can’t replicate.
This means making some uncomfortable decisions now. Stop competing on services that AI handles well enough. If you’re still selling basic content creation, social media management, or standard reporting as core offerings, you’re volunteering to be price-shopped.
Instead, double down on the work that requires genuine expertise: deep market understanding, strategic positioning, creative concepts that actually move the needle, and the kind of nuanced judgment that comes from having seen what works (and what fails spectacularly) across dozens of client situations.
Change how you talk about AI with clients. Rather than downplaying it or treating it as a threat to hide, lead with it.
Hourly billing and retainers based on team size are relics of a world where labor hours correlated to value. They don’t anymore.
Outcome-based pricing, value-based fees, and performance partnerships align agency incentives with client success, and make the AI efficiency gains work in your favor rather than against you.
Address the junior talent crisis head-on. The agencies that figure out how to train the next generation of strategists in an AI-enabled world, by pairing them with senior experts on high-level work rather than relegating them to tasks AI now handles, will have a massive competitive advantage in five years when everyone else is scrambling for talent.
Dig deeper: How to work with your SEO agency to drive better results, faster
The data shows 64% of agencies expect revenue growth over the next 12 months. Whether that optimism is justified depends entirely on whether agencies adapt to the new reality or keep hoping the old model comes back. It won’t.
The squeeze is permanent. But there’s a path through it for agencies willing to fundamentally rethink what they sell and how they deliver it.
Will your agency become indispensable because of how you use AI, or get bypassed entirely because clients realize they can do what you do themselves?
A strange pattern has emerged in Google’s paid search results: multiple competing ads display the exact same web statistics, raising questions about a bug or an intentional design shift.
What’s happening. Several paid search ads are showing the same website statistics simultaneously, even though these signals are typically unique to each site. The uniformity makes the data look unreliable, and it’s unclear whether this is a display glitch, a test, or something more deliberate.

Why we care. Trust signals in search ads help users make informed decisions and boost click-through rates by building confidence. If those stats appear identical across competing ads, users may dismiss them as unreliable — undermining the credibility boost you rely on.
What we don’t know.
No official word. Google hasn’t confirmed or commented on the behavior. Paid media expert and founder Anthony Higman first spotted and flagged the anomaly on LinkedIn.
Bottom line. If trust signals can’t be trusted, they stop serving their purpose. You should watch whether this pattern spreads — or quietly disappears.
AMD’s Ryzen 7 9850X3D pricing has dipped, and it comes with Crimson Desert AMD’s Ryzen 7 9850X3D launched last month for £449.99 in the UK, and now the CPU is available at a much lower price, with Crimson Desert included. Overclockers UK is now selling AMD’s Ryzen 7 9850X3D with a free £54.99 game and […]
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Stratalize gives professional services firms complete visibility into vendor spend, subscription exposure, and renewal risk in minutes. It ingests transaction data from banks, ERPs, and accounting platforms, then uses machine learning to classify vendors, detect anomalies, and project multi-year exposure. The platform delivers plain-English advisory reports with specific recommendations to negotiate, cancel, consolidate, or optimize, and exports shareable PDFs for CFOs and legal teams. Built for accounting firms, law practices, and consultancies, with enterprise-grade security.
C2Story is an AI story creation platform that lets you turn ideas and characters into illustrated books, comics, and shared worlds. Generate stories and images in more than 50 styles, then continue, rewrite, and remix as your universe grows. You can reuse characters across projects, browse a public character library, create in multiple languages, and export PDFs and assets for printing or sharing.


Account suspensions are essential to “maintain a healthy and sustainable digital advertising ecosystem, with user protection at its core,” according to Google Ads.
For advertisers, though, navigating the suspension process can be a minefield. Suspensions can happen suddenly, limit what you can do in your account, and, in some cases, affect related accounts as well.
Here’s what triggers account suspensions, the different types you might encounter, and what to do if your account is flagged or suspended.
Accounts get suspended when Google Ads finds a violation of one of its policies. The platform uses a combination of automated systems and manual reviews when detecting violations.
The process involves reviewing the account and other aspects, including your customer reviews, business practices, and website content.
In November 2025, Google addressed concerns that a large volume of accounts were being unfairly suspended by announcing that it had improved the accuracy of the system.
Google says that, by using new processes and AI, it’s reduced incorrect suspensions by over 80% and improved resolution times by 70%, with 99% of suspensions now resolved within a 24-hour window.
The SEO toolkit you know, plus the AI visibility data you need.
Depending on the violation, accounts may be suspended immediately upon detection. In other cases, advertisers will be given a prior warning of at least seven days before the suspension takes place.
Advertisers will be notified via email, along with a red banner at the top of their Google Ads account. When an account is suspended:
In some instances, accounts related or linked to the suspended account may also be suspended, such as linked Merchant Center accounts or those linked to the same manager account. These will be lifted if or when the original suspension is resolved.
Dig deeper: Google Ads’ three-strikes system: Managing warnings, strikes, and suspension
Not all suspensions are the same. Google Ads groups them into a few main categories, each with different causes and outcomes.
These suspensions are due to violations of Google Ads policy or its terms and conditions. Common examples include:
These are suspensions that Google Ads deems unlawful or harmful. They typically reflect the overall practices of a business, not necessarily its campaigns or accounts. As such, it’s unlikely that the suspension will be overturned and will probably be permanent.
Common egregious violations include:
Other reasons why an account may be suspended include:
What you should do next depends on the type of suspension and what caused it.
If your account has been suspended for policy or terms and conditions violations, you must resolve the issue causing the suspension before submitting an appeal.
The Google Ads help guides contain detailed information on these policies, so make sure you read them thoroughly. Don’t submit an appeal until you’re certain that you’ve made the relevant changes.
For example, if you’ve been suspended for violating editorial requirements, review your ad copy to check for potential issues regarding capitalization, spacing, spelling, and symbols.
If you’re uncertain about the violations that caused the suspension and how to fix them, you can use the account troubleshooter beta to determine what steps need to be taken.

Egregious violations are treated very seriously. In most cases, the suspension is permanent. However, if you genuinely believe that the suspension is baseless, then you can submit an appeal.
Make relevant changes to your account or business practices before you submit your appeal. This is important because egregious violations only get one chance to submit an appeal. Take the time to review your business practices honestly and make sure you’ve done all that you can to comply.
In the case of an “Unauthorized account activity” suspension, Google Ads has detected suspicious activity, and your account has been suspended to protect it.
This may be triggered due to recent changes to account access, an unusual increase in your ad spend, or if your ads are sending traffic to unfamiliar destinations.
You will need to:
In many of these cases, billing issues cause suspension, so check the billing section of your account. Ensure that billing information is accurate, your payment method is up to date, and recent payments haven’t been declined.
If your account has been suspended for a billing or payment issue, you must fix this within 30 days. You may also be required to complete the advertiser verification program to confirm your identity or business operations.

While the specific steps you need to take will depend on the type of suspension your account is under and what caused it, there are some best practices for submitting your appeal:
Dig deeper: Dealing with Google Ads frustrations: Poor support, suspensions, rising costs
Unfortunately, many advertisers are reporting long wait times to hear back about their appeal. This means that you’ll need to be patient and wait for a response via email.
In the meantime, don’t submit additional appeals. Doing so will not increase the speed at which your appeal is addressed and may result in the suspension of your appeal process for seven days.
You can resume running your campaigns via Google Ads as usual.
Be aware of violating the same policy again in the future. Depending on the type of policy infringement, you may face permanent suspension for repeat violations.
You may be eligible to submit another appeal, but you must make the relevant changes before you do so.
While there is no limit on the number of appeals you can make, if too many appeals have been made, they may not be processed.
If your appeal is denied and you’re permanently suspended, you’ve been banned from using Google Ads. Creating any new accounts will also result in suspensions.
If you still have funds in your account, you’ll need to cancel your account to receive a refund.
Account suspensions are designed to help keep advertisers and users safe. They help keep dangerous and malicious activities off the platform, improving the Google Ads experience.
While finding out your account is suspended is frustrating, in most cases, there are steps you can take to resolve the issues behind the violation and have your account reinstated.
Seating Hero is a simple tool for creating seating charts for weddings and events. You can add tables, import or type in your guest list, and assign people to tables using a drag-and-drop interface. The layout updates instantly so you can see exactly where everyone will sit.
It helps you organize your seating plan without spreadsheets or paper sketches. If plans change, you can quickly move guests, adjust tables, and export the final seating chart to share with your venue or event team.
Yoast SEO co-founder shares that most sites don't need content management systems like WordPress anymore.
The post Is WordPress Too Complex For Most Sites? appeared first on Search Engine Journal.
Pearl Abyss confirms that ARC GPU support is coming to Crimson Desert following backlash In an official statement released this morning, Pearl Abyss has backtracked on its position on Intel ARC graphics. Until now, the developer has not supported Intel’s GPUs and has simply asked Intel ARC users to get a refund. Now, following a […]
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Mystika delivers AI-powered tarot readings, horoscopes, and birth charts rooted in qabbalistic and esoteric traditions. Choose from spreads like Yes/No, Daily Tarot, Love Reading, Career & Prosperity, Shadow Work, and the Celtic Cross, then receive clear interpretations tailored to your question.
Mystika also teaches tarot with a guided library covering the 78 cards, suits, and history. Start with free readings, track daily cosmic energy, or upgrade to Premium for deeper insights and a complimentary birth chart.

Physical devices can't scale. Here's how cloud phones are changing multi-account management.
Financial Fitness Passport helps you assess and improve your money health with an AI-powered dashboard, a Passport Score, and a proprietary Retirement Number. Enter your basics without linking your bank, then get clear guidance, calculators, and a roadmap to your goals.
Use cash flow analysis with tax estimates, debt payoff planning, investment tracking, and an AI coach named Penny who provides plain-English answers. Earn progress badges, export or delete your data anytime, and choose Free, Pro, or Enterprise plans for teams.
Plot Travel guarantees you never overpay for a trip you've already booked. Travel prices change frequently, but constantly checking your flights and hotels for price drops is tedious and unrealistic.
Just forward your confirmation emails, and the system takes over. It monitors your exact bookings in the background and helps you claim savings when prices drop, putting money back in your wallet.
Traider is a real-time voice psychological intervention layer for traders that sits between your impulse and your execution. It monitors your behavior, not just your trades, and steps in when you’re about to break your own rules. Within your first session, it builds a living psychological profile and uses it to deliver targeted interventions that keep you aligned with your plan.
Traider helps you close the gap between knowing and doing by tracking patterns, flagging risky impulses, and guiding you back to disciplined execution. It’s currently in private beta with a Founding 50 cohort shaping the product. Beta signups are still welcome.
VO3 AI is a video generation platform that turns text or images into 1080p cinematic videos with synchronized audio. It runs a multi-model engine including Veo3 Fast, Veo3, VO3 Basic, and VO3 Advance to balance speed, quality, and cost. Use batch generation, scene splitting, and a smart prompt system to refine results, while VO3 Bot suggests models and optimizes prompts. Share your videos via SEO-optimized pages with privacy controls and create daily content for social media, promos, and music videos.
Extract structured data from text, files and archives.
Tinder for Marketing
The official WeChat pipeline for OpenClaw
See exactly how much you spend on Claude, across every tool
AI wellness app that turns doomscrolling into self‑care
Real reviews from Reddit & YouTube when shopping online
Build full-stack webapps from the database up
OpenClaw harness and fleet manager for Mac
Send work beautifully, pinned feedback, see what they viewed
Interrupt scrolling, tab overload, and AI autopilot
A network where AI agents find deals for their humans

Sucesio is an estate planning platform for the digital age that lets you centralize physical and digital assets in an encrypted vault and assign precise beneficiaries with custom instructions. A periodic life check triggers automatic transfer at the right time, and heirs access a secure link without creating an account.
Data is end-to-end encrypted (AES-256), GDPR-compliant, and hosted in Europe. The service supports French, Spanish, and English, and you can export all your data anytime.
Bottleneck Calculator tells you which component is limiting your PC's performance and what that means for gaming, content creation, or general use. Pick your CPU, GPU, and target resolution, and it gives you a clear answer based on benchmark data across 200+ components. Most bottleneck calculators give you a percentage with no context. This one explains what's actually happening and whether it matters for how you use your PC.
Calm Sea gives everyday users clear financial planning and retirement tools. You can model accumulation and retirement phases, project cashflows, and test scenarios for inflation, interest, growth, expenses, and contributions. With a simple visual and hands-on approach, you can use charts to see and drill down into assets, zoom out for the big picture, and spot opportunities. The quick onboarding lets you start projecting investment returns and goals, set drawdown strategies, and see how small changes today shape long-term outcomes.
Polymarket Trends tracks the biggest and most influential traders on Polymarket in real time. The Whale Tracker ranks wallets by an Influence Score that blends capital, profitability, consistency, activity, and longevity, refreshing every five minutes from the Polymarket CLOB API. Explore leaderboards, recent large trades, and wallet profiles with volumes, win rates, and market impact to follow smart money and gauge market sentiment.
Google is testing AI headline rewrites in Search using similar language to the earlier Discover test that became a feature.
The post Google Tested AI Headlines In Discover. Now It’s Testing Them In Search appeared first on Search Engine Journal.
The platform’s new tool within the image gallery will allow users to generate moving displays that show up as videos.
Videos that include a person talking or that feature a highly visible person in the first three seconds have better retention, according to new data from Emplifi.
The new system could replace thumbnails and provide viewers with more context before they click on recommended clips.
A federal jury in California has ordered the X owner to pay as much as $2.6 billion after ruling that he intentionally manipulated the platform’s share price.

A joint statement from Google, LinkedIn, Snapchat, Meta, Microsoft and TikTok asked lawmakers to create a better framework or extend the current one.
OEM software bloat strikes again – Samsung Connect App causes mayhem Earlier this month, reports came in that Windows 11’s March 2026 updates were preventing users from accessing their C: drive. Following an investigation by Microsoft, via Windows Latest, it was uncovered that these issues predated Windows 11’s March update. In fact, it wasn’t caused […]
The post Samsung Update ruins Windows PCs – Microsoft Confirms appeared first on OC3D.
Cosmic Meta Digital is an AI-powered technology publication that delivers timely news, analysis, and how-to guides on artificial intelligence, programming, blockchain, cloud, and emerging digital trends. It helps readers cut through the noise with clear explanations and curated insights.
The site also offers free online tools and showcases indie apps and games, giving makers and curious readers practical resources to learn, create, and stay informed.
MyChessLab is a suite of chess study tool microsites that is regularly expanded. The site is in early beta and seeking 100 testers to help with bug testing and feature refinement. Beta testers will have free access for the rest of 2026 and a discounted founders rate if they choose to subscribe from January 1, 2027. No card details are required during the beta testing period.
Ask AI Widget adds AI platform icons to your site so visitors can open ChatGPT, Claude, Gemini, Grok, or Perplexity with your prompt already filled in. You frame the question, and they get honest answers from AI they trust. The script is under 25KB, loads asynchronously, and uses no cookies.
The widget supports inline or floating modes, multiple languages with automatic translations, prompt rotation, brand color customization, and an analytics dashboard. It works on any site that accepts a script tag, including WordPress, Shopify, Webflow, and Next.js, with an optional white-label upgrade.
NinjaPipe is a sales CRM that helps teams turn pipelines into profit. Manage leads, deals, and projects with Kanban boards, a unified inbox for email, WhatsApp, SMS, and social, and built-in quotes, invoices, and payment links. Automate lead capture from ads, route and nurture contacts, trigger tasks and workflows, and collaborate in real time. Create branded client portals, customize with your own domain, and work anywhere with mobile apps and built-in forms.
Nintendo’s building an improved Switch 2 version that’s EU-only – Nekkei claims According to a report from Nekkei, Nintendo has plans to release an improved Switch 2 console version in the EU that features improved repairability. This change will allow the console to comply with the EU’s Regulation 2023/1542, which says the following; Any natural […]
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CarBG removes cluttered car backgrounds and replaces them with clean showroom, studio, or branded scenes. Upload a photo from your phone, and the AI handles the rest: background swap, lighting correction, shadow grounding, and export. It processes single images or entire inventory batches in minutes.
The built-in editor lets dealers add logos, contact details, and text overlays before downloading. Outputs are ready for Cars.com, CarGurus, AutoTrader, and Facebook Marketplace with no reformatting. No subscriptions, just prepaid credits starting at $0.40 per image with a free trial included.
Nimbalyst is an agent-native visual workspace for builders. It brings developers, product managers, and designers together to collaborate with Claude Code and Codex on files, sessions, and tasks. Use visual editors for Markdown, CSV, code, wireframes, Excalidraw, Mermaid, and data models; review AI diffs, manage git, and generate code. Organize work with session kanban, session-to-file linking, visual cues, and built-in task tracking. Available for macOS, Windows, and Linux.
Theōros is an AI-powered document collaboration platform for PDFs and complex files. It lets teams annotate, comment, and review in real time with version history, review annotations, and integrated form filling. You can ask questions and get cited answers, search instantly across documents, and control access with granular permissions. Theōros secures data with enterprise encryption and supports SOC2, HIPAA, and GDPR, enabling you to share confidently and move decisions faster.
LeadQualify helps consultants, coaches, and agencies filter out bad leads before they reach your calendar. You can build branded qualification forms, score answers by budget, timeline, and fit, and route qualified prospects straight to Calendly or any link while gracefully handling others. Track time saved and funnel performance in a clear dashboard, enable optional reminder emails, and customize branding with white label options. GDPR-ready consent and flexible routing keep your pipeline efficient and focused on serious buyers.
Mentiq is a retention analytics platform for SaaS teams that surfaces churn risk, explains its drivers, and turns insights into actionable playbooks. It combines product usage, billing, and user behavior to generate customer health scores, cohorts, and channel-level churn views while automatically intervening to prevent users from churning. You can prioritize accounts by renewal window, seats, and expansion likelihood, then trigger workflows like onboarding rescue, adoption nudges, pricing friction fixes, and champion loss recovery. Made for all founders, at any stage.
Crimson Desert looks great and runs well on most PCs, but some settings introduce visual noise and inefficiencies. We break down every option to find the best balance of image quality and performance.
Triall makes three AI models check each other's work. You ask a question, three models from different providers answer separately, then critique each other anonymously, debate to refine the answer, and verify claims against live web sources. What survives is what you get.
Built on neuroscience research that found the neurons causing hallucination can't be fixed with alignment — so instead of hoping one model gets it right, Triall makes three compete. 120+ models, free tier, plans from $11/month.
PlutoBa delivers AI-powered creator intelligence for DTC brands and agencies. Paste any TikTok, Instagram, or YouTube handle and run a deep assessment that analyzes 100 posts and 300+ comments across seven dimensions, including audience authenticity, brand safety, engagement quality, and view consistency. It returns a 0-100 PlutoBa Score with a clear verdict: Proceed, Caution, or Avoid, plus rate benchmarks and AI-generated outreach. Use the built-in CRM and campaigns to track creators and decide with confidence.
You know that broken process everyone complains about but no one has time to fix? Reimagine It helps you do something about it. Describe your problem, and the AI walks you through a smart interview, covering people, processes, and technology, so you don't miss anything important. It tracks progress with a clarity score, nudging you when there's more to uncover. When you're done, you get multiple concrete options to solve your problem, each showing complexity and trade-offs upfront. Pick the approach that fits, and Reimagine It generates a full blueprint that you'd get from a consulting engagement, but you can do it yourself in one sitting.
TubeAnalytics is a powerful YouTube analytics platform built for serious creators who want clarity for growth. Track views, watch time, subscribers, revenue, click-through rate, retention, and audience behavior, all in one clean dashboard. Early users get priority feature access and direct input into the roadmap.
How Silicon Friendly is your website? (from L0 to L5)
Schedule recurring tasks locally and in the cloud easily
Store, review, and share your Claude Code sessions
Easy data visualizations. Embed and share anywhere.
One API to scrape, enrich, and understand the web.
Extend Claude Pro's limit by 26.2%
Toudou is a surprise-activity platform that turns a short questionnaire into one booked local activity for dates, friend groups, or teams. You set the boundaries of time, budget, location, energy level, indoor or outdoor, and accessibility, and Toudou selects the best fit from curated hosts while taking care of booking and logistics. This makes us more than just a platform, as we organize everything from A to Z. You get enough certainty to say “yes” to the plan and enough surprise to feel like you discovered something—without scrolling, coordinating, or arguing over options.
Wispra is an AI business directory that helps companies structure and publish verified information so they can be correctly understood and recommended by AI assistants such as ChatGPT, Perplexity, and Gemini. The core of Wispra is the creation of an AI-optimized company profile. Each business is published in the Wispra AI directory with structured information, including company description, services, products, locations, and key business data.
EarVu turns valuable knowledge inside Discord communities into structured, searchable website content automatically. Mark important messages in Discord, and EarVu transforms them into organized articles ready to publish on your website. This tool is perfect for communities, educators, and creators who want their best discussions to become permanent knowledge.
Pikkovia is a 3D asset marketplace for UI designers. It offers curated packs of 3D icons in PNG format, allowing you to easily add high-quality renders to interfaces, designs, decks, and videos. Browse categories from finance and film to gaming and weather, download ready-made packs, and drag and drop them into your designs to speed up your workflow.
StackSpend is a spend control platform for startup founders and lean teams. It unifies your cloud and AI costs across providers like AWS, GCP, Azure, OpenAI, Anthropic, and others into one dashboard, enabling you to see where money is going in real time. Instead of digging through multiple billing portals, founders gain clear visibility into cost drivers by provider, service, team, and project, along with alerts and reporting to help catch spikes early. The goal is simple: reduce waste, improve forecasting, and protect runway without adding finance overhead.
OpenMark is an AI model benchmarking platform that lets you test 100+ LLMs on your own task with deterministic scoring and real API cost tracking. Describe what you need in plain English, pick your models, and get scored results in minutes, without requiring API keys, code, or setup.
With 18 scoring modes, vision support, stability tracking across multiple runs, and accuracy-per-dollar metrics, OpenMark shows you which model performs best for your specific use case and budget. It is free to try at openmark.ai.
Chartle lets you create beautiful, interactive charts from natural language or raw data. Type a prompt like 'UK inflation over the last 10 years,' and it finds real sources, builds the chart, and cites them. You can upload screenshots to convert them to code, paste spreadsheets or JSON, and customize themes to match your brand.
Publish with secret links, embed in Notion or blogs, and export crisp PNGs or SVGs. Build drag-and-drop dashboards, track versions, and connect live data from Google Sheets, Notion, and APIs.
StockPortfolio.pro is a calm, focused portfolio tracker for long-term investors. Track holdings, allocation, fundamentals, and performance in one clean dashboard, with no broker connection required. You can add positions manually, spot concentration risk by ticker, sector, or theme, and compare returns against the market. It prioritizes privacy, with optional analytics consent.
Valfred is a real-time AI sales copilot that helps B2B sales teams win more deals. Unlike post-call tools like Gong or Modjo, Valfred assists reps during live calls by surfacing proof points, objection responses, and competitive arguments in real time. It connects to your CRM (HubSpot, Salesforce, Pipedrive) and ingests call transcripts, emails, and case studies to build a living sales knowledge base. Features include dynamic battlecards, smart success stories, CRM auto-fill, proof pages, pre-call briefs, and an AI sales chat, making it ideal for SDRs, AEs, sales managers, and RevOps at B2B SaaS companies and agencies.
RazFit is a fitness app for iPhone and iPad that delivers 1–10 minute, equipment-free workouts tailored to your level. Choose your time and focus area, then train with clear video guidance, timers, and automatic tracking. RazFit includes 30 calisthenics exercises, 32 achievement badges, and AI coaches Orion and Lyssa to keep you motivated and on form. You can track progress, unlock milestones, and see results in weeks, with support available in six languages.
Postica is a Reddit growth platform for founders and marketers. It analyzes over 20 million posts across more than 100,000 subreddits to show you the best posting times, highest engagement keywords, flair performance, and audience overlap between communities. No more guessing where to share your product.
It also generates personalized daily growth plans based on your product and experience level, with titles modeled after top-performing content. Postica includes a post studio for drafting and scheduling, a conversation finder for comment marketing, and link tracking to measure clicks.
Story Generator is a structured AI writing tool that helps you create stories step by step, turning your ideas into full story outlines and detailed chapters. Simply enter your concept, choose the genre, and set up your characters, including name, personality, appearance, and occupation. The system then generates a complete, coherent multi-chapter outline tailored to your setup.
The tool supports all major genres, including fantasy, sci-fi, romance, mystery, thriller, adventure, slice-of-life, children's stories, and more. Each generation produces three unique versions, providing you with multiple creative directions to choose from instantly.
MailerBit is an email automation platform for sending thousands of individually personalized messages. It connects to your contact data and inserts unlimited custom fields—text, numbers, dates, and currencies—into dynamic templates with merge tags and built-in math. You can run recurring campaigns on fixed or custom schedules, attach files up to 25 MB, and compute values at send time. MailerBit solves the problem of sending similar emails manually to many customers.
April 2026 will bring some HUGE changes to Windows 11, and more are coming 2026 is the year of Windows 11 improvements. Windows 12 isn’t coming anytime soon, and Microsoft’s focus is on making its Windows 11 faster and more reliable. With Windows 11’s April 2026 Insider updates, Microsoft has started down its path towards […]
The post Microsoft promises to make Windows 11 faster and more reliable appeared first on OC3D.

AMD hasn’t unveiled it, but that hasn’t stopped ASRock AMD has not revealed this CPU, but ASRock has. ASRock has issued a press release confirming that its motherboards “fully support” AMD’s Ryzen 9 9950X3D2 CPU. This processor promises “more cache than ever” and “higher gaming performance” for users. Videocardz were the first to spot this […]
The post ASROCK officially confirms unreleased AMD Ryzen 9 9950X3D2 CPU appeared first on OC3D.
Qala is an AI-native data discovery and visibility platform that continuously shows security and compliance teams in real-time how data moves across code, integrations, third parties, and AI systems, all without requiring engineering involvement. In under 30 minutes, users can instantly obtain real-time data visibility from the source with an interactive topology and lineage map that illustrates how data flows across systems, whether at rest or in transit. It uses AI and NLP to automatically detect and classify sensitive data, tag assets, and trace data flows at the point of creation or ingestion.
Sony’s continuing to work with AMD on new “Project Amethyst” technologies for PlayStation and Radeon In an interview with Digital Foundry, Sony’s Mark Cerny, the lead system architect for PlayStation 5, confirmed that ML-based (Machine Learning) frame generation would be coming to “PlayStation platforms”. This tech comes as part of Sony’s “Project Amethyst” collaboration with […]
The post Frame Generation is coming to “PlayStation Platforms” – Cerny Confirms appeared first on OC3D.

ERSO lets anyone create and share interactive 3D stories with AI. You can generate scenes from text, turn video into animations, add AI music, and publish to VR, PC app, or the browser with one click. Viewers can explore paths, gather in the same scene from anywhere, and leave avatar comments with custom voices and motion. Skip years of 3D tutorials and go from idea to sharing experience quickly.
MapMaster is a community-driven platform for discovering and creating interactive maps for video games. Explore curated maps across popular titles to track locations, collectibles, and points of interest. Sign in to add, edit, or manage your own maps. Enjoy an ad-free experience, follow updates on X, and join the Discord to collaborate with other players.

Hullo is an AI-powered dating platform built to optimize for compatibility instead of endless swiping. Rather than relying on random discovery and surface-level browsing, Hullo uses intelligent matching models to analyze user intent, profile signals, and behavioral patterns to suggest more meaningful connections.
The platform also enhances profile quality with AI-assisted optimization, increasing signal clarity and improving match outcomes. Hullo is designed as an AI-native alternative to traditional swipe-based apps, focusing on better matches, not more screen time.
Path to Hired is a Kanban-style job application tracker with built-in CV and cover letter optimization tools. Instead of managing a chaotic spreadsheet or trying to remember where you applied last Tuesday, Path to Hired gives you one place to track every application, move it through stages such as Applied, Interview, and Offer, and get AI-powered suggestions to improve your CV and cover letters. We also launched a Chrome extension that saves jobs from LinkedIn, Indeed, and Glassdoor in one click. We're in early beta and looking for job seekers to test the product and provide feedback.

Stories, beautifully crafted
Unified agent workspace with seamless cloud handoff power
effortless media optimizer for the web
Build design, and ship anything AI fast in one flow
The designer for your AI agents (Openclaw, CC, Codex)
Track how you feel about spending, not just the numbers
Real-time AI captions & translation for any iOS app
practice tough phone calls with AI before you make them
Building the world’s fastest IPMI single board computer
The Unified Toolchain for the Web
The agentic IDE which teaches while you build.
Local-first AI note app for Mac zero config via MCP
Personalized exam prep, now in your pocket
The fastest way to ship exceptional ChatGPT apps
Tasks, context, and files organized in one workspace
SparkLocal removes the barriers between having a dream and launching a business. By answering questions about your skills, budget, and location, the AI generates four personalized business ideas rooted in your local market, completely free. You can explore viability scoring, market research, financial projections, a launch checklist, and resources matched to your city. Additionally, you can generate a pitch deck, landing page, and social graphics, as well as access a free directory of over 6,073 local business resources across 547 US cities. Entrepreneurship should be for everyone, not just the well-connected.
Droplink helps dropshippers find winning products, spy on competitors, and fulfill orders from one dashboard. It features AI-powered search, a product database with over 1 million products, and an ad library across Facebook, Instagram, TikTok, and Pinterest to validate demand and margins. Connect Shopify to import products with one click and ship through a supplier network offering fast 6-day delivery with no minimum order quantity. Track store revenues, monitor ads and products, and scale with 24/7 support.
AuraMetrics.io is a suite for GEO and AEO that helps your brand get cited by AI engines such as ChatGPT, Perplexity, and Google AI. It audits structured data, entity clarity, trust signals, and citability, assigns a GEO Visibility Score, and delivers a prioritized roadmap for improvement. By integrating GA4 and Search Console, you can measure AI traffic and monitor how LLMs discuss your brand through ongoing prompt tests and citation alerts.
Timerjoy offers free, browser-based timers, stopwatches, and countdowns so you can track time without downloads or sign-ups. Start quick presets for seconds, minutes, or hours, or build custom visual and classroom timers. The site also provides a world clock, time zone tools, date and age calculators, sunrise and sunset times, moon phases, and breathing and workout timers for HIIT, Tabata, and intervals.
AssetHQ provides a simple digital asset management platform for teams to store, organize, and share documents, images, and files. With an intuitive folder structure, tagging, and search, finding assets is fast. You can share with secure links, expiration dates, and permissions. Enjoy image previews, collections, and lightning-fast performance backed by enterprise-grade security. Start free and scale to a paid plan as your storage and team grow.
Tindlo is a workflow OS where your calendar is your task board. Instead of switching between Asana for tasks, Google Calendar for scheduling, and Notion for docs, Tindlo puts everything on one timeline through multi-layer scheduling. Your team opens one screen and sees what to do, when to do it, and the context they need. Built for small teams of 2-20 people.
A free plan is available forever, and paid plans start at $7 per user per month.
Intel’s ready to work with Pearl Abyss to bring ARC GPU support to Crimson Desert – Update – Pearl Abyss has backtracked, confirming that they will support Intel ARC GPUs with future Crimson Desert game updates. Pearl Abyss’ newest PC hit, Crimson Desert, is incompatible with Intel ARC GPUs. The game does not boot on […]
The post Intel issues official statement on Crimson Desert ARC GPU incompatibility appeared first on OC3D.
Quasar Energy is a Dutch B2B platform for electrical installers, solar professionals, and energy market participants across NL, DE, and BE. PowerCalc AI generates IEC 60364-5-52 / NEN 1010 cable sizing reports and EN 50549 solar PV + battery reports as structured PDFs — correction factors, voltage drop, short-circuit withstand, PVGIS 5.2 irradiance data, and 25-year financial analysis. Quasar Intelligence delivers AI-generated EU energy market analytics from ENTSO-E data — day-ahead prices, generation mix, and cross-border flows for NL, DE, and BE. Both lines are pay-per-report. No subscription, no account, no software. Order, pay via Stripe, receive PDF by email in minutes.
EvoLink unifies access to leading chat, image, and video models through a single API key and endpoint. It delivers 99.9% uptime with automatic failover, real-time usage and cost tracking, and smart routing that can cut AI spend by up to 70%. Integrate in minutes using OpenAI, Anthropic, or Google-compatible formats, then call models like Claude, Gemini, Veo, Sora, Wan, and Nano Banana Pro without refactoring. Build production-grade workflows with low latency and predictable costs.
CallAgent provides AI phone agents that make and answer calls for your business. They follow up on new ad leads in seconds, qualify prospects, book appointments, confirm schedules, and run outbound campaigns at scale. You can connect a dedicated number, integrate calendars and CRMs, and trigger calls via API or webhooks. Monitor recordings, transcripts, and analytics in real time. CallAgent supports multilingual, natural conversations, 24/7 availability, and GDPR-grade security with pay-as-you-go and tiered plans.
Omnia shows how your brand appears across AI engines and tells you exactly what to do to improve it. We track share of voice, citations, competitor benchmarks, and visibility across AI search. Insights turns that data into prioritized, prompt-level tasks, indicating what content to create, what to improve, and where to get featured based on real citation data, brand authority, and category. Monitoring is the diagnosis, and Insights is the prescription. There are no dashboards collecting dust, just a clear plan to win AI visibility.
Looking to take the next step in your search marketing career?
Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.
(Provided to Search Engine Land by SEOjobs.com)
(Provided to Search Engine Land by PPCjobs.com)
Digital Marketing Manager 10x Health System (Scottsdale, AZ)
Paid Ads/Growth Manager, Robert Half (Hybrid, Atlanta Metropolitan Area)
SEO Manager, Clutch (Remote)
Marketing Manager – SEO & GEO, Care.com (Hybrid, Austin Texas)
Digital Marketplace Manager, Venchi (Hybrid, New York, NY)
Advertising Media Manager, Vetoquinol USA (Remote)
Programmatic Advertising Manager, We Are Stellar (Remote)
Marketing Manager, Backstage (Remote)
Demand Generation Manager, Shoplift (Remote)
Search Engine Optimization Manager, Confidential (Hybrid, Miami-Fort Lauderdale Area)
Note: We update this post weekly. So make sure to bookmark this page and check back.

Intel says that it is listening to feedback Club386 has had the opportunity to talk with Intel’s Robert Hallock, the company’s VP and GM ot its “Enthusiast Channel”. When asked about the possibility of “a future where Intel sockets support more CPU generations, Hallock’s answer was simple: “I do. That’s it – I do”. Elaborating […]
The post Intel says “we are listening” when it comes to long-lived CPU sockets appeared first on OC3D.
As AI agents reshape how advertising platforms are used, Google is bringing focus toward the developers behind the systems and create content specifically for them.
What’s happening. Google’s Advertising and Measurement Developer Relations team has launched Ads DevCast, a bi-weekly vodcast and podcast hosted by Cory Liseno. The show focuses on technical deep dives across Google Ads, Google Analytics, Display & Video 360 and related tools.
Zoom out. This is a companion to Ads Decoded, hosted by Google Ads Liaison Ginny Marvin, which focuses on campaign strategy. Ads DevCast is explicitly built for developers and technical practitioners.
Driving the news. Episode 1 — “MCPs, Agents, and Ads. Oh My!” — centers on what Google calls the “agentic shift,” where AI agents are becoming primary users of advertising APIs.
Why we care. Ads DevCast gives developers a direct line to the engineers building Google’s ad tools, which should help stay ahead of technical changes, discover new capabilities faster, and build more efficient integrations in an increasingly AI-driven ecosystem.
The big picture. AI is expanding who can work with ad tech systems. Google is seeing a shift from a narrow “Ads Developer Community” to a broader “Ads Technical Community,” where marketers can execute technical tasks without full development cycles.
What’s next. Ads DevCast is a pilot, and Google is collecting feedback to shape future episodes.
Bottom line. Google is positioning Ads DevCast as a tool to give developers a front-row seat to Google’s latest ads innovations, with practical insights to build, test, and adapt faster in an AI-first landscape.
A new Google Merchant Center update changes how e-commerce sites must handle out-of-stock products, with direct implications for product approvals and ad performance.
What’s happening. Google now requires that out-of-stock products must still display a buy button, but it can no longer be active or hidden. Instead, the button must be visibly disabled and appear grayed out. In other words, users should be able to see the button, but not click it.
This marks a clear shift from common practices where retailers either left the “Add to Cart” button clickable or removed it entirely. Both approaches are now non-compliant.

How it works. In practical terms, the requirement is simple. The buy button must remain on the page, but its functionality needs to be turned off. Typically, this is done by applying a disabled state so the button becomes unclickable and visually subdued.
The catch. The button change is only part of the update. Google also expects clear availability messaging on the product page, such as “in stock,” “out of stock,” “pre-order,” or “back order.” This information must match exactly with what is submitted in the product feed.
Any inconsistency between the page and the feed can lead to disapprovals.
The bigger shift. This update removes a long-standing workaround used by many retailers. Previously, it was possible to keep selling out-of-stock products by leaving the purchase button active. That approach is no longer allowed.
If a retailer still wants to accept orders for unavailable items, the product must now be labeled as “back order.” This status needs to be reflected consistently across both the landing page and the feed.
Bottom line. What looks like a small UI requirement is actually a meaningful policy change. Retailers will need to review how they manage out-of-stock products and ensure their pages and feeds are fully aligned to avoid disruptions.
First seen. This update was spotted by Google shopping specialist who shared the his how to video on LinkedIn.
Dig deeper. About landing page requirements
Google is testing AI-generated review replies in Google Business Profile.
Why we care. Responding to reviews can impact conversions and trust. But generic AI replies could be risky and erode trust, especially on negative reviews where authenticity matters most. Response quality matters more than whether a business replies to reviews.
What it looks like. Here’s a screenshot:

The details. Google appears to be rolling out a limited test of Reply to reviews with AI inside Google Business Profile.
Early behavior. Some users report prompts focused on older, unanswered negative reviews.
First seen. The feature was first shared on LinkedIn by Chandan Mishra, a freelance local SEO specialist, and amplified by Darren Shaw, founder of Whitespark.

Google Chrome 146 fixes 26 security vulnerabilities but with no evidence of active exploitation so far. The update addresses three critical memory-related flaws, along with several high-risk issues impacting components like WebGL and the V8 JavaScript engine.
Wirewiki lets you explore internet infrastructure across domains, IPs, and DNS servers. You can search domain profiles, inspect IP addresses, and run lookups for DNS propagation, SPF, MX, TXT, reverse DNS, and website-to-IP. The platform helps you trace delegation paths, check zone transfers, and validate email sender records to troubleshoot issues or research setups. It's a quick way to answer routing questions and review how domains are configured.
Whether you're scaling a company or building a business, getting real value from AI is harder than it should be. Cuadra AI lets you build your own AI that continuously learns from your business, runs on any model, and works wherever your users are. You can synchronize your documents, Notion, or Google Drive, allowing your AI and knowledge to grow together. Connect with WhatsApp, Slack, SMS, or Telegram to meet your users where they already are. If you have a team, you can access your model in your own private workspace.
Google is testing AI-generated headline rewrites in Search results, describing it as a small, narrow experiment for now.
What’s happening. Google confirmed to The Verge (subscription required) that it’s testing AI-generated titles in traditional Search results, not just Discover.
One example showed Google replacing original headlines with shorter or reworded versions, sometimes changing tone or intent (e.g., reducing “I used the ‘cheat on everything’ AI tool and it didn’t help me cheat on anything” to “‘Cheat on everything’ AI tool.”).
Why we care. Google Search is already sending fewer clicks. Now you also have to contend with Google generating entirely new headlines with AI, risking changes to meaning, brand voice, and click-through rates.
Dig deeper. Google changed 76% of title tags in Q1 2025 – Here’s what that means
What they’re saying. Sean Hollister, senior editor at The Verge, wrote:
Title links. According to the Google Search Central section on title links, originally published in 2021:
Google’s generation of title links on the Google Search results page is completely automated and takes into account both the content of a page and references to it that appear on the web. The goal of the title link is to best represent and describe each result.
Google said it uses these sources to “automatically determine title links”
<title> elements<h1> elementsog:title meta tagsWebSite structured data What to watch. Google called this one of many routine experiments, but that’s no guarantee it stays small. The Verge noted a similar “experiment” in Discover later became a full feature.
Reaction. After seeing this news, Louisa Frahm, SEO director at ESPN, wrote on LinkedIn:
Intel is expected to launch its first “Big Battlemage” GPUs next week According to Videocardz, Intel is getting ready to launch its first “Big Battlemage” GPUs next week, on March 25th. Intel’s new GPUs are the ARC PRO B70 and the ARC PRO B65. Both of these GPUs feature 32GB of ECC GDDR6 memory, making […]
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