Commodore 64 Ultimate Review: 21st Century Computing from a 1982 perspective
The post Content, Consolidation, and the Creatorβs Cut: Isaacson on AI, Media Mergers, and Musk appeared first on StartupHub.ai.
βPeople who create content should be part of the party when the proceeds get divided up,β asserts Walter Isaacson, the esteemed biographer and advisory partner at Perella Weinberg, during a recent appearance on CNBCβs βSquawk Box.β This fundamental principle, he argues, is the linchpin for navigating the burgeoning age of artificial intelligence, particularly as major [β¦]
The post Content, Consolidation, and the Creatorβs Cut: Isaacson on AI, Media Mergers, and Musk appeared first on StartupHub.ai.


As marketing channels and touchpoints multiply rapidly, the way success is measured significantly impacts long-term growth and executive perception.Β
Click-based attribution β across models like last-click, first-click, linear, and time-decay β remains the default.Β
But as a standalone measurement strategy, itβs showing its age.Β
Click metrics now carry disproportionate weight in executive dashboards, and that reliance introduces real limitations.
Click-based models can still reveal valuable insights into digital engagement.Β
However, when the C-suite bases major budget and strategy decisions solely on clicks, they risk overlooking critical aspects of the customer journey β often the very pieces that matter most.
This article examines:
The goal isnβt to demonize clicks β they still belong in the toolbox. But they should provide context, not serve as the foundation.
Click-based attribution tracks ad clicks and assigns conversion credit to the marketing touchpoints that drove them.Β
Models like first-click, last-click, linear, time-decay, and data-driven approaches differ only in how they split that credit across the user journey.
Digital ad platforms and many analytics tools default to click-based models because clicks are relatively easy to capture, understand, and report.Β
Theyβre deterministic, clean, and simple to interpret at a glance.
That cleanliness, however, can be misleading.Β
Click-based attribution depends entirely on a user interacting with tracking links or tags.Β
If a user doesnβt click, or clicks but converts later or elsewhere, the touchpoint may be missed or misattributed.
This approach can work in a simple, linear funnel.Β
But as customer journeys become multi-device, multi-channel, and increasingly offline, clicks lose context quickly.
Dig deeper: The end of easy PPC attribution β and what to do next
Todayβs buyers rarely follow the neat, linear paths that click-based models assume.Β
Instead, they move across devices, channels, and even offline touchpoints.
Think social media, LLMs like ChatGPT, and brand exposure from video, influencers, or website content.Β
Many of these interactions never generate a tracked click, yet they play a critical role in shaping perception, intent, and eventual conversion.
For example, a buyer may watch a brandβs video on LinkedIn during their morning commute.Β
Later, they read a third-party review and skim a few case studies on the brandβs website.
Days later, they type the brand name directly into Google and convert.Β
In a click-based model, only the final branded search click receives credit.Β
The video, the review, and the content that built trust remain invisible.
These arenβt minor attribution blind spots β they represent a canyon.Β
Click-based models place the most weight on the final click.Β
As a result, they often over-index lower-funnel activity from channels like retargeting ads or branded search.Β
These channels convert more frequently, but they do not create demand on their own.
For C-level decision-makers, this creates a dangerous bias.Β
Dashboards light up for retargeting campaigns and branded search, so budgets flow there.
Mid- and upper-funnel investments β brand building, awareness, content, and influencers β are reduced or cut.Β
Over time, the brandβs long-term growth engine is choked in favor of short-term, easily quantifiable wins.
Dig deeper: Marketing attribution models: The pros and cons
Not all marketing impact shows up as clicks.Β
A video ad or thought-leadership piece may plant a seed without prompting an immediate click, yet the message can linger.Β
It may lead to later brand searches or site visits, outcomes that are difficult to capture through click-based measurement.
As a result, brand power, creative messaging, and top-of-funnel reach are underrepresented in click-based models.Β
Over time, organizations that optimize solely around click-based attribution may unintentionally deprioritize creativity, brand-building, and long-term equity.
Weβre moving toward a future where third-party cookies are diminished or gone, privacy rules continue to tighten, and tracking becomes less precise.Β
Under these conditions, click tracking grows more difficult, less reliable, and increasingly misaligned.
Without stable identifiers, many of the assumptions behind click-based models β βthis click belongs to that userβ or βthis click led to that conversionβ β begin to unravel.Β
Attribution becomes a house of cards built on data that may not hold up as privacy and tracking norms continue to shift.
When click-based reporting dominates, budgets tend to flow toward what looks good β the activities that drive visible revenue and deliver clean, direct ROI.Β
That often comes at the expense of demand generation efforts that support long-term growth, such as brand campaigns, content, awareness, and other upper-funnel media.
This approach may βworkβ for a few months or even years.Β
Over time, however, the pipeline dries up.Β
Awareness declines, organic reach stagnates, and the brand loses its ability to attract new audiences at scale.
Marketing shifts into a zero-sum exercise focused on extracting conversions from existing demand rather than expanding it.Β
Without sustained investment in brand equity and demand generation, competitiveness, brand loyalty, and lifetime value (LTV) suffer.
In essence, optimizing for short-term ROAS puts long-term brand health at risk.
When KPIs are click-based:
The result is marketing silos working toward different objectives.
Fragmentation increases.
Ad platforms and tracking tools report click-based conversions, but many of those conversions are self-crediting, particularly within paid media platforms.Β
When you rely heavily on these numbers without scrutiny or connection to the broader user journey, you risk making high-stakes decisions based on biased data.
If click-based attribution is flawed, how should performance be evaluated?Β
The short answer is a combination of approaches grounded in real business outcomes.
At a higher level β especially when multiple channels are involved, including online, offline, paid media, organic media, and PR β MMM helps quantify channel-level contribution to sales, revenue, or other business outcomes.Β
It looks at broad correlations over time using aggregated data rather than user-level clicks.
MMM, supported by machine learning, improved data resolution, and more frequent refresh cycles, has become more accessible and actionable.Β
It isnβt a replacement for click- or site-based data, but a powerful complement.Β
Dig deeper: MTA vs. MMM: Which marketing attribution model is right for you?
User-level path analysis still has a place when privacy and tracking allow.Β
Multi-touch models that consider multiple touchpoints can provide richer insight, but they work best as one input among many rather than a single source of truth.Β
They offer path visibility, but without incrementality testing or support from MMM, they still risk over-crediting and bias.
Marketing value isnβt confined to a single sale or conversion.
LTV, retention, and long-term value creation matter just as much.Β
Tying spend to CAC payback, churn, loyalty, and retention creates a measurement framework aligned with long-term business goals.
Incrementality testing measures what marketing actually adds by identifying net-new conversions, revenue, lift, or awareness.Β
It separates what would have happened anyway from what your efforts truly drove.
This approach isnβt as clean as click tracking and requires more planning and discipline, but it delivers causality.Β
It allows you to say, with confidence, βThis spend generated X% incremental lift.β
Dig deeper: Why incrementality is the only metric that proves marketingβs real impact
Not all impact is transactional.Β
Upper-funnel signals such as viewability, time-in-view, attention scores, and engagement matter.Β
Creative resonance, brand recall, and impact often influence later behavior that never appears as a click.
Looking beyond clicks to metrics like creative recall, brand lift, share of voice, sentiment, and qualitative feedback helps anchor measurement to real brand value and audience expectations.
A modern measurement framework isnβt built around one model or metric.Β
It brings together complementary methods to create a clearer, more balanced view of performance.
The most effective measurement frameworks take a portfolio approach.Β
MMM, incrementality, multi-touch attribution (when possible), attention metrics, and customer lifecycle metrics work together to triangulate performance from multiple perspectives.
This diversity reduces bias and balances short-term performance with long-term brand health.
It also makes it possible for the C-suite to see more than conversions alone β including impact, growth potential, and sustainable value.
Executives care about revenue, margin, and growth. Not just clicks.Β
Reframe KPIs around the key metrics that matter, such as:
Package those into dashboards that tell a story:Β
When dashboards lead with vanity metrics like click volume, CTR, or raw conversion rate, insight is limited. Lead instead with business outcomes.
Build narrative-driven dashboards that connect investment to results, learning, and action.
Lean toward data storytelling instead of data reporting.Β
That story resonates with executives. It links marketing to business value, not just to marketing activity.
Modern analytics tools β including AI and predictive forecasting β can help:
Use them to simulate scenarios, test assumptions, and support business cases.
These tools arenβt silver bullets. They work best as accelerators for sound strategic thinking.Β
Changing how performance is measured doesnβt happen automatically.
It requires clear framing, evidence, and a deliberate transition rather than an abrupt overhaul.
Often, executives cling to click-based metrics because theyβre easy to understand (βone user clicked, we got a saleβ) and seemingly real-time.Β
They want fast feedback and accountability. Demand creation efforts often feel abstract and hard to justify.
Be prepared to address that directly:
Click-based attribution doesnβt need to be discarded overnight. Instead:
Over time, incentives begin to shift. Media moves beyond clicks, creative focuses on quality and resonance, and analytics emphasizes causality and long-term value.
Executives rarely object to logic β they object to noise.Β
Frame your case with clarity and use data.Β
Show examples, run tests, show incremental lift, and then build dashboards that tell a clear story.
Once you prove that a dollar invested in brand or top-of-funnel media delivers compounding value over time, leadership hopefully becomes less attracted to short-term click metrics.Β
They begin to appreciate marketing as an investment, not a cost center.
Click-based attribution has served marketing teams for years. It offered a clean way to connect conversions to touchpoints.Β
But the landscape has changed.Β
For C-level teams, judging performance by clicks alone is like judging a companyβs health by heart rate alone. Itβs useful, but incomplete.
Modern marketing requires a richer view β one that blends data, causality, business outcomes, and long-term brand building.
As marketing leaders, our job isnβt to chase the next click.Β
Itβs to build brands that last, drive sustained growth, and help leadership see marketing not as a cost, but as a strategic investment.

Every week, new data highlights both the overlap and the divergence between effective organic search techniques across traditional SEO (Google SERPs) and GEO (ChatGPT, AI Overviews, Perplexity, etc.).Β
Itβs a lot to absorb. One week, headlines say traditional SEO tactics work fine for ChatGPT.
The next, youβll see reports that one platform is elevating Reddit while another is dialing it back.
Given how quickly this landscape shifts, I want to break down the approach, process, and resources my team is using to tackle content in 2026.Β
This goes far beyond a content calendar.Β
Itβs about combining audience understanding, the interplay of organic platforms, and your brandβs perspective to build a content system that delivers real value.
The emphasis on quality and value in content is good for marketers.
The tenets of E-E-A-T remain central to our approach because they apply to AI search discoverability as much as to traditional SEO.Β
Producing strong content still depends on a rich understanding of your audience, good fundamental structures, and solid delivery methods β skills that always matter.
Start with your audience.Β
Approach content like any other product or service:Β
Approach content like any other product or service:
That said, content that has performed well in Google may not work as effectively for LLM search.Β
Instead of writing primarily for blue-link SERPs, we now focus on creating content that stands on its own as an authoritative, structured data source, with trust and originality as ranking signals.Β
That means prioritizing clarity, factual depth, and a consistent brand perspective that AI models can reliably quote.
In an age of mass AI content, original insights, data, and human perspective are key differentiators, so content systems should include a step for βoriginal proofβ β data, interviews, or commentary that make the material uniquely trustworthy.
Weβre also thinking more about how content gets used in AI experiences, not just how itβs found.Β
Summaries, bullet points, and explainers that answer layered intent are increasingly valuable.Β
Incorporating schema, structured data, and a consistent brand voice improves how AI systems read and represent your content.Β
In short, the goal is to optimize for retrievability and credibility, not just ranking.
The content strategy path I like to prescribe is as follows:
Once your research is conducted, youβll have what you need to craft content and deploy it in multiple ways.Β
The linear workflow that persisted for years in traditional SEO, however, must evolve into a modular content engine β one where a single research output fuels multiple media types (articles, YouTube scripts, short-form video, LinkedIn posts, etc.), with platform-native variations all aligned to a central narrative theme.
A few years ago, I would have started with well-known, well-established tools like Ahrefs and Semrush.Β
While those remain useful for benchmarking, they no longer represent how people discover or consume information as AI search transforms user behavior in real time.Β
AI search abstracts away keywords β users are asking multi-intent questions, and LLMs are generating synthesized answers.Β
SEO analysis is now, rather than the main starting point, one piece of the research pie.Β
Itβs still important, but search optimization is now embedded throughout the content process.
The tools below have been important in the past, and my team still leans on them as part of a more holistic approach to content planning.
Surveys are useful but can be expensive when youβre trying to reach audiences outside your CRM.Β
You can still get strong insights by engaging subject matter experts who share the same professional experiences, challenges, and responsibilities as your target audience.Β
Slack communities, live or virtual meet-ups, and memberships in organizations like the AMA or ANA can all offer on-the-ground perspectives that support your content mapping.
Itβs critical to include intent analysis from AI tools and conversational search data.Β
Understanding how users phrase questions to AI systems can inform structure and tone.
Not all social media posts are created equal, but understanding your audience includes knowing where your audience likes to engage: X, Reddit, YouTube, TikTok, etc. (Not to mention that Reddit citations show up prominently in ChatGPT results.)
Utilize these platforms to gather real-time information on what your audience is discussing and to increase brand mentions, which will send strong signals to ChatGPT and similar tools.
Shift from tracking keyword overlap to evaluating content depth, originality, and entity coverage β where your brandβs expertise can fill gaps or improve on generic AI-summarized answers.
For many years, SEO marketers focused on impressions and clicks, although more advanced practitioners also incorporated down-funnel metrics, such as leads, conversions, pipeline impact, and revenue.Β
Today, SEOs must expand their KPIs to include brand mentions in:
These are the new indicators of helpfulness and value.
Weβve seen strong successes with AI search visibility that complement our traditional SEO results, but our understanding of best practices continues to evolve with each new round of aggregated data on AI search results and shifting user behavior.
In short, keep a parallel track of what has worked recently and where the trends are heading, since ChatGPT and its competitors are changing user behavior in real time β and with it, the shape of organic discovery across platforms.
Cloudflare's sixth annual Year in Review reveals how AI crawlers, security threats, and traffic patterns changed in 2025.
The post Cloudflare Report: Googlebot Tops AI Crawler Traffic appeared first on Search Engine Journal.
Sometimes I really wish the chip makers would get out of the way and let us partners just make our cards. Give us the chip. Give us the RAM. Tell us what we have to provide to make it work with the board. And then let us make the cards. Let us have our fun. Let us go nuts. Let there be real differentiation. Sometimes it feels like this market becomes too too much the same.
The post Reinforcement Learning Comes Home: NVIDIA and Unsloth Democratize AI Mastery appeared first on StartupHub.ai.
Reinforcement Learning, once the exclusive domain of supercomputers and multi-million dollar data centers, has decisively stepped into the realm of local computing. This shift, highlighted in a recent tutorial by Matthew Berman, demonstrates how powerful AI models can now be trained on consumer-grade NVIDIA RTX GPUs using open-source tools like Unsloth, fundamentally democratizing access to [β¦]
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The post Nvidia and AI Stocks Poised for Higher Rerating, Says Fundstratβs Tom Lee appeared first on StartupHub.ai.
The prevailing sentiment around artificial intelligence, despite its unprecedented surge, often grapples with questions of sustainability and valuation. Yet, Tom Lee, Fundstrat Global Advisors head of research and Fundstrat Capital CIO, posits a distinctly bullish outlook, arguing that leaders in the AI space, notably Nvidia, are not overvalued but rather poised for a significant upward [β¦]
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The post Swarm Intelligence: Decoding the Power and Perils of Multi-Agent AI appeared first on StartupHub.ai.
The notion that multiple, specialized AI agents can collectively outperform a single, monolithic system represents a significant shift in artificial intelligence development. Anna Gutowska, an AI Engineer at IBM, articulates this concept with clarity, illustrating how βmany simple AI agents, each with a small job, coming together to solve big, complex problems.β This paradigm, known [β¦]
The post Swarm Intelligence: Decoding the Power and Perils of Multi-Agent AI appeared first on StartupHub.ai.
The post Soverli smartphone OS cracks the mobile sovereignty problem appeared first on StartupHub.ai.
The Soverli smartphone OS enables a fully auditable, isolated operating system to run simultaneously with Android, eliminating the security-usability trade-off.
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This season, Google Search and Shopping Ads are expected to surge past $70 billion in holiday spending. But thereβs a hidden flaw in the auction system β one most advertisers donβt realize is costing them money even when competitors arenβt in the game.
BrandPilot calls this the Uncontested Google Ads Problem, and itβs becoming one of the most overlooked sources of wasted ad spend in peak retail season.
During SMX Next, John Beresford, Chief Revenue Officer at BrandPilot, unpacked how a little-known behavioral quirk in Googleβs auction logic can cause advertisers to overspend on their own brand terms, their Shopping placements, and even their category keywords β simply because Google doesnβt automatically reduce your CPC when competition disappears.
Instead of paying less when youβre the only bidder, you may be paying the same high rate youβd pay when rivals are activeβ¦ without realizing it.
Itβs a phenomenon happening thousands of times a day across major brands, and many marketers never notice itβs occurring.
In his session, Beresford discussed:
He also shared examples of how advertisers are reclaiming wasted spend and reinvesting it into growth β without sacrificing impression share, traffic, or revenue.
Watch BrandPilotβs session now (for free, no registration required) to learn how to:
If youβre running Google Search or Shopping campaigns this holiday season, you canβt afford to miss this session. Learn how to stop the Google Grinch from stealing your budget β and start turning those savings into real performance gains.

One of last year's standout gaming stories was the rise of indie hits, proving that while game dev budgets balloon, spectacle matters less than how fun a game is to play.
Yono rewards you to scroll less. Stay under 1 hour on Instagram and TikTok per day -> earn 5 points -> stack points -> redeem them at local spots you actually want to visit. 30 points = free specialty coffee, or two Guinness pints, or dessert. The less you doomscroll, the more you earn. Businesses get free foot trafficβthey set their offers, pay nothing, and 76% of users buy extra items and return without promotions. You turn phone addiction into real money: scroll less, earn rewards, support local spots, and afford to go out again.
Real-time screen translator for any game
Visual pattern mapping for adhd & neurodivergent minds
Free AEO analytics with content tools to boost AI rankings
Keep 95% of your revenue.
Automated pre-meeting research in Google Calendar.
Help parents explain the world, one question at a time
Minimalist writing editor with vim mode
Syllaby: Create, Edit, PublishβAll in One
Turn websites into APIs
AI-native engineer hiring via real-work simulations
Remix your tabs into custom apps tailored uniquely to you!
Transform voice memos into actionable notes

CodersNote is an AI-powered learning platform that personalizes how students and professionals learn programming. It creates customized roadmaps, courses, and projects based on each learnerβs goalsβwhether itβs frontend development, AI, data science, or any other tech career path.
The prebuild roadmaps and 3,000+ free learning resources available on the platform are carefully chosen and designed by 14 industry experts, ensuring learners follow the most relevant and up-to-date path in tech. It also provides real-time guidance, interview preparation, and 24/7 AI supportβhelping learners build practical skills, stay motivated, and achieve faster career growth in technology.
YouTube's making it easier for creators and brands to maximize their collaborations.
Following the implementation of new restrictions, Australian teens have quickly adjusted.
Nvidia plans FP64 comeback following Blackwellβs disappointing HPC results While Nvidia Blackwell series GPUs have proven highly popular for AI workloads, the supercomputing community is disappointed by their lack of FP64 (double-precision) performance. In fact, Nvidiaβs new B300 βBlackwell Ultraβ chip practically ignores FP64 with its anaemic 1.2 teraflops of performance. For context, Nvidiaβs A100 [β¦]
The post Nvidia plots return to FP64 with next-gen HPC ships appeared first on OC3D.
Meta's looking to improve its data ingestion processes, based on real world conversation.
More ways to stay up to date with the latest info from X.
X's prospects are improving, though it's still well below pre-Elon revenue levels.
TikTok is looking to draw in more live content viewers.
MSI celebrates 10 years of GODLIKE performance with its MEG X870E GODLIKE X Edition motherboard MSI has just launched their new MEG X870E GODLIKE X Edition motherboard, a new AM5 flagship motherboard thatβs limited to 1000 units. This motherboard is both a high-end motherboard and a collectorβs item, boasting high-end specifications and unique numbering. Weβve [β¦]
The post MSI launches its MEG X870E GODLIKE X Edition motherboard appeared first on OC3D.
GigLegal is dedicated to empowering New York City's independent workforce. We aim to provide affordable, accessible, and easy-to-understand legal tools, ensuring every freelancer can operate with the confidence and security of a large corporation. We believe legal protection should be a standard, accessible tool, not an expensive barrier.
The biggest challenges in freelancing are non-payment and scope creep. GigLegal is designed to solve these problems at their root. We combine legally-sound contracts with a secure escrow service, and create a 'trust protocol' that aligns expectations for both freelancers and their clients from day one.
The post The Future of Code: From Syntax to AI-Guided Vibe Engineering appeared first on StartupHub.ai.
The advent of large language models is fundamentally reshaping the very act of software creation, moving developers from the meticulous crafting of syntax to a more abstract, intent-driven collaboration with artificial intelligence. This profound shift was the central thesis of Kitze, founder of Sizzy, in his recent discourse on the evolution from βvibe codingβ to [β¦]
The post The Future of Code: From Syntax to AI-Guided Vibe Engineering appeared first on StartupHub.ai.
The post The Generative AI Threat is Already in Your Browser: Malicious Chrome Extensions Explode in Latest Cyber Scourge appeared first on StartupHub.ai.
The rush to integrate Generative AI into daily workflows has opened a dangerous new front in the cyber security war, one thatβs hiding in plain sight: the humble browser extension. New research from Palo Alto Networks security experts, Shresta Seetharam, Mohamed Nabeel, and William Melicher, reveals a disturbing trend of malicious GenAI-themed Chrome extensions being [β¦]
The post The Generative AI Threat is Already in Your Browser: Malicious Chrome Extensions Explode in Latest Cyber Scourge appeared first on StartupHub.ai.
Thevenin is an Internal Development Platform (IDP) designed for organizations that need to build with startup speed while maintaining rigorous enterprise standards regarding governance, security, and data sovereignty.
Developers can easily create docker containers and attach files, variables and even volumes. Organizations can check what has been changed and who did it through version control and limit cloud resource usage by environment.
Upload 100s of product images. Get SEO titles, descriptions & tags automatically. Sync directly to your WooCommerce or Shopify store. Go from photos to profitable listings in minutes.
Create Topical Authority via our maps feature, which plans and visualizes your content in a way never seen before. Get Keyword Research on the map directly with out competitor analysis tool, revolutionizing the way keyword research is done. No more second guessing which keywords are actually being used and how.
Let AI agents write & manage your SaaS emails
Open source, webhook-free payments that AI can one-shot
The easiest way to use GitHub Octicons in your Blazor apps
Learn, invent and innovate electronics
AI-powered video creation for work
The post Intelligence as Parsimony and Self-Consistency: Rethinking AIβs Foundations appeared first on StartupHub.ai.
Professor Yi Ma, a world-renowned expert in deep learning and artificial intelligence, presented a compelling challenge to the prevailing paradigms of AI during his interview on Machine Learning Street Talk. Speaking with the host, Tim Scarfe, Professor Ma systematically dismantled common assumptions about large language models (LLMs) and 3D vision systems, arguing that current successes [β¦]
The post Intelligence as Parsimony and Self-Consistency: Rethinking AIβs Foundations appeared first on StartupHub.ai.
TaskYak makes scheduling background jobs on your infrastructure simple and collaborative. Managing task orchestration can be a heavy lift β the Yak helps carry that load. Unlike Airflow, which can take a degree in DevOps to configure and maintain, TaskYak can be set up in under five minutes, getting your team up and running with clear, team-based workflow management right away.
The post MiniMax M2: An Agentic Model Engineered for Real-World Developer Experience appeared first on StartupHub.ai.
The true measure of an AI modelβs utility isnβt just its benchmark scores, but its seamless integration into the messy, dynamic reality of human workflows. This philosophy underpins MiniMax M2, the latest AI model unveiled by Senior Researcher Olive Song at the AI Engineer Code Summit. Songβs presentation highlighted MiniMaxβs distinctive approach as both a [β¦]
The post MiniMax M2: An Agentic Model Engineered for Real-World Developer Experience appeared first on StartupHub.ai.
FindMark is a smart bookmark manager that makes it easy to organize and search your saved links. Instead of digging through folders, you can find anything instantly using tags, filters, and powerful search syntax.
It also includes cloud backup, a private space for sensitive bookmarks, and a recycle bin for easy recovery. Designed for Chrome and Edge, FindMark helps you keep your online resources tidy, searchable, and safe β all in one place.
Building a custom liquid cooling distro plate using unusual methods The growing availability of 3D printers, laser cutters and other tools has started an at-home manufacturing revolution. With the proper knowledge, you can now build almost anything. On YouTube, Visual Thinker has put his skills to the test by creating a custom PC liquid cooling [β¦]
The post Modder rethinks PC liquid cooling with 3D printing, silicone, and a laser appeared first on OC3D.




































AMD wants to hire engineers with experience with Intelβs PowerVia tech AMD has issued a new job listing for a Physical Design Verification CAD Engineer, and has asked explicitly for candidates who have βknowledge of Power Viaβ, an Intel technology. This suggests that AMD may make some future chips with Intel silicon inside. PowerVia is [β¦]
The post Why AMD wants engineers with knowledge of Intel silicon appeared first on OC3D.

The post AI Breaks Data Barriers with Text-to-SQL appeared first on StartupHub.ai.
The long-standing chasm between business acumen and technical data querying is finally narrowing, thanks to advancements in artificial intelligence. Michael Dobson, Product Manager at IBM, recently presented on how Large Language Models (LLMs) are powering Text-to-SQL capabilities, fundamentally changing the paradigm of data analytics. His insights revealed how this technology empowers non-technical users to extract [β¦]
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The post Tinker launches OpenAI API compatibility, challenging vendor lock-in. appeared first on StartupHub.ai.
Tinker is now generally available and introduced an OpenAI API-compatible interface, drastically lowering the switching cost for developers seeking alternatives.
The post Tinker launches OpenAI API compatibility, challenging vendor lock-in. appeared first on StartupHub.ai.
Clevera is an AI-driven platform that transforms raw screen recordings into professional-grade product videos, tutorials, and demos in minutes. Just record your screen using the Clevera macOS app, and our AI automatically removes pauses and misclicks, writes a natural narration script, generates a voiceover, and syncs everything perfectly.
You can customize your video with different tones, voices, and branding options, or instantly translate it into 23 languages. Clevera also supports LiveSync, so any updates you make are instantly reflected everywhere your video is embeddedβno re-exports needed.
Chrome's image viewer, but with zoom, pan, and more
Minimal, calm timer for iOS that invites you to focus.
AI turns your health goals into a 7-day menu & grocery list
Remote control your mac from smartphone
Track your sex life privately. Sync with your partner.
AI-powered questions that bring couples closer instantly
isFake.ai is a tool designed for detecting AI-generated content across different media types, including text, images, audio, and videos. Users can upload files or paste text for immediate analysis. The tool supports various file types and examines characteristics typical of AI creation, such as robotic language, unnatural phrasing, texture inconsistencies in images, and synthetic elements in audio.
After analysis, isFake.ai provides an instant confidence score and explanation of results. It is useful for educators, journalists, developers, and others who need to verify AI-generated content. The platform prioritizes privacy and does not store or share submitted materials.

The post AI Customer Tracking Software Redefines SMB Growth appeared first on StartupHub.ai.
AI customer tracking software is becoming essential for SMBs to unify data, personalize interactions, and automate engagement for sustainable growth.
The post AI Customer Tracking Software Redefines SMB Growth appeared first on StartupHub.ai.
The post Proactive Agents: Shifting from Reactive AI to Intelligent Collaboration appeared first on StartupHub.ai.
The prevalent model of artificial intelligence, where developers constantly manage and prompt AI tools, imposes a significant βmental loadβ that stifles innovation. This was the central theme articulated by Kath Korevec, Director of Product at Google Labs, during her presentation at the AI Engineer Code Summit. Korevec argued for a paradigm shift towards βproactive agents,β [β¦]
The post Proactive Agents: Shifting from Reactive AI to Intelligent Collaboration appeared first on StartupHub.ai.
The post ADAM Robot Bartender: AI Solves Hospitalityβs Labor Gap appeared first on StartupHub.ai.
The ADAM Robot Bartender's deployment in a live arena demonstrates AI's practical application in hospitality, addressing labor gaps and enhancing customer interaction.
The post ADAM Robot Bartender: AI Solves Hospitalityβs Labor Gap appeared first on StartupHub.ai.
The post Gemini Google Translate Elevates Nuance appeared first on StartupHub.ai.
Google Translate now leverages Gemini's advanced AI to provide more natural and contextually aware translations for both text and live speech.
The post Gemini Google Translate Elevates Nuance appeared first on StartupHub.ai.

On episode 334 of PPC Live The Podcast, I speak to Sophie Fell Head of Paid Media at Liberty Marketing Group about a real PPC mistake involving location targeting. The conversation focuses on how small oversights can have big consequencesβand how to recover from them professionally.
Sophie accidentally launched a campaign with worldwide location targeting enabled instead of restricting it to the clientβs service area. In just a couple of days, the campaign generated around 1,500 leads that looked impressive on paper but were unusable because they came from outside the target locations.
The unusually strong performance initially looked like a win, but it became a red flag. When Sophie reviewed the campaign more closely, she discovered the location setting issue. This highlights an important PPC lesson: results that look too good should always be investigated, not celebrated blindly.
The client spotted the issue around the same time Sophie did, while she was already preparing to flag it. The situation was handled with honestyβacknowledging the mistake, explaining what happened, and fixing it immediately. Transparency helped preserve trust, even though the client was understandably unhappy.
This wasnβt a lack of knowledgeβit came down to moving too quickly and relying on assumed checks rather than confirmed ones. Like many experienced practitioners, Sophie thought the setting had already been reviewed. The experience reinforced how dangerous platform defaults can be.
Once corrected, the campaign went on to perform exceptionally well. The client hit their targets six weeks early and exceeded revenue expectations by Β£3.5 million. The initial mistake didnβt define the outcomeβhow it was handled did.
Sophie now checks campaign settings multiple times, both before and after launch. She reviews settings whenever performance spikes or dips and never reports results without rechecking fundamentals. The key change is recognising that post-launch reviews often reveal what pre-launch checks miss.
Sophieβs guidance is simple: pause, investigate, and be honest. Check metrics and settings immediately, take responsibility, explain what went wrong, and clearly outline how youβll prevent it from happening again. Mistakes become serious problems only when theyβre mishandled.
Sophie regularly audits accounts that havenβt been updated for years, rely heavily on brand campaigns, or misuse automation like Performance Max. She also sees poor alignment between keywords, ads, and landing pagesβfundamentals that still matter, even in AI-driven campaigns.
Many PPC professionals assume industry leaders no longer make mistakes. Sophie challenges that idea. Everyone is still learning, regardless of experience level. Sharing failures helps juniors feel safer, encourages better leadership, and keeps the industry moving forward.
A strong team culture allows for testing, learning, and accountability without fear. Sophie emphasises clear testing frameworks, capped budgets, and open conversations. Teams that claim to be mistake-free rarely innovate.
Platforms change, defaults evolve, and assumptions fail. Whether performance is soaring or struggling, always verify that campaigns are doing what you think theyβre doing. You canβt over-check your settingsβbut you can definitely under-check them.
The post AI Stocks Hit the Brakes as Market Rotates Away from Hyper-Growth appeared first on StartupHub.ai.
Jim Cramer, host of CNBCβs βMad Money,β delivered a stark assessment of the marketβs recent performance, declaring it an βugly day if you own nothing but AI companies.β This pointed commentary, delivered on his program, highlighted a significant downturn in the tech-heavy Nasdaq, a stark contrast to a βnormal, decent day if you own anything [β¦]
The post AI Stocks Hit the Brakes as Market Rotates Away from Hyper-Growth appeared first on StartupHub.ai.
GetCito is the worldβs first platform designed to help brands understand and optimize how they appear across AI-generated content and search. As AI becomes the new search layer From ChatGPT to Google AI Overviews. GetCito offers powerful tools to monitor, analyze, and improve your brandβs presence in AI-driven results.
The post AIβs Unprecedented Surge: IP Battles, Strategic Alliances, and the Race for Dominance appeared first on StartupHub.ai.
βDisney is the biggest holder of them all,β Matthew Berman observed, commenting on the entertainment giantβs vast intellectual property portfolio. This singular statement encapsulates the weekβs most striking developments in artificial intelligence, as industry titans navigated a landscape of groundbreaking product releases, strategic partnerships, and escalating legal battles over data rights. The dynamic interplay between [β¦]
The post AIβs Unprecedented Surge: IP Battles, Strategic Alliances, and the Race for Dominance appeared first on StartupHub.ai.
The post AI: More Than a Platform, Less Than a Prophecy appeared first on StartupHub.ai.
The current discourse surrounding artificial intelligence oscillates wildly between utopian visions and apocalyptic warnings, often obscuring the practical realities of its development and integration. This tension formed the core of a recent discussion between technology analyst and former a16z partner Benedict Evans and General Partner Erik Torenberg on the a16z podcast, where they dissected the [β¦]
The post AI: More Than a Platform, Less Than a Prophecy appeared first on StartupHub.ai.
The post Oracleβs AI Hurdles Reflect Broader Market Skepticism appeared first on StartupHub.ai.
Deepwater Asset Management Managing Partner Gene Munster recently offered a discerning perspective on the trajectory of Oracleβs stock within the burgeoning artificial intelligence sector, suggesting it will likely underperform its large-cap AI peers by 2026. This assessment, delivered during a βFast Moneyβ segment on CNBC, delved into the intricacies of investor sentiment, capacity constraints, and [β¦]
The post Oracleβs AI Hurdles Reflect Broader Market Skepticism appeared first on StartupHub.ai.
The post AIβs Frontier: Navigating Safety, Scale, and the Human Element appeared first on StartupHub.ai.
βThe biggest risk to AI is not that it will become too intelligent, but that it will become too widespread without adequate safeguards.β This provocative statement, echoing the sentiment of many grappling with the rapid advancement of artificial intelligence, set the stage for a compelling discussion at Forward Future Live on December 12, 2025. The [β¦]
The post AIβs Frontier: Navigating Safety, Scale, and the Human Element appeared first on StartupHub.ai.
Google continues evolution beyond text-first interactions with upgrades to Search Live Gemini model, possibly complicating SEO.
The post Google Updates Search Live With Gemini Model Upgrade appeared first on Search Engine Journal.
The post AI Repricing: A Global Productivity Revolution, Not Just a Tech Trade appeared first on StartupHub.ai.
The ongoing repricing of artificial intelligence within market valuations is not merely a transient market correction but a profound recalibration reflecting both immediate logistical hurdles and the vast, long-term potential of a global productivity revolution. This was the central thesis presented by Jose Rasco, HSBCβs Global Private Banking & Wealth Americas CIO, who recently engaged [β¦]
The post AI Repricing: A Global Productivity Revolution, Not Just a Tech Trade appeared first on StartupHub.ai.
The post AI Buildout Promises Face Investor Scrutiny appeared first on StartupHub.ai.
The prevailing sentiment in the market regarding the artificial intelligence boom, as articulated by Big Technology founder Alex Kantrowitz, is one of acute βAI anxiety.β This apprehension stems not from a lack of belief in AIβs transformative power, but from the immense scale of infrastructure buildout promised and the precariousness of delivering on those commitments. [β¦]
The post AI Buildout Promises Face Investor Scrutiny appeared first on StartupHub.ai.
The post Roadrunnerβs AI-Native Ambition to Fix Enterprise Quoting appeared first on StartupHub.ai.
The labyrinthine world of enterprise sales, long burdened by archaic software and cumbersome processes, is ripe for disruption by artificial intelligence. This is the core thesis driving Joubin Mirzadegan, Kleiner Perkinsβ latest entrepreneurial force, as he embarks on his new venture, Roadrunner. In a recent interview with Swyx on the Latent Space podcast, Mirzadegan peeled [β¦]
The post Roadrunnerβs AI-Native Ambition to Fix Enterprise Quoting appeared first on StartupHub.ai.
The post Trumpβs AI Order: Speed Gambit in Geopolitical Tech Race appeared first on StartupHub.ai.
President Trumpβs AI executive order, aimed at accelerating American innovation by prioritizing speed over safety in artificial intelligence development, represents a bold and potentially risky strategic pivot in the global AI race. CNBCβs Deirdre Bosa, reporting on the implications of this order, highlighted the administrationβs stated rationale: to prevent U.S. companies from being βbogged down [β¦]
The post Trumpβs AI Order: Speed Gambit in Geopolitical Tech Race appeared first on StartupHub.ai.

UK doctor and YouTuber Dr. Ed Hope said Googleβs AI falsely claimed he was suspended by the General Medical Council earlier this year for selling sick notes. Hope called the allegation completely made up and warned that it could seriously damage his career.
Googleβs AI generated a detailed narrative accusing Hope of professional misconduct, despite no investigations, complaints, or sanctions in his 10-year medical career, he said in a new video.
Why we care. Googleβs AI-generated answers appear to now be presenting false, career-damaging claims about real people as fact. That raises serious questions about defamation, accountability, and whether AI-generated statements fall outside Section 230 protections.
What Googleβs AI said: Hope shared screenshots of Googleβs AI stating that he:
βNone of this is true.β Hope, who has nearly 500,000 followers, said he has no idea how long the answer was live or how many people saw it and believed it, warning that the damage may already be done. After discovering the AI Overview, he replicated the hallucination and found more false claims, including accusations that he misled insurers and stole content.
How did this happen? Hope thinks Googleβs AI stitched together unrelated signals into a false story. The AI conflated identities and events, then presented the result as factual history, he said:
Why this is more from βjust a mistake.β The AI didnβt hedge, speculate, or ask questions, Hope said. It asserted false claims as settled fact. Hope said that matters because:
The big legal question. Is Googleβs AI committing defamation? Or is Google protected by Section 230, which typically shields platforms from liability for third-party content? Courts may ultimately decide. For now, some legal experts have argued that:
Resolved? Searching for [what happened to dr. ed hope sick notes] showed this Google AI Overview:
Dr. Ed Hope (of the βDr. Hopeβs Sick Notesβ YouTube channel) faced scrutiny and suspension by the medical counsil in mid-2025 for his involvement with a company selling sick notes (fit notes), a practice seen as potentially exploiting the system for profit, leading to controversy and professional action against him for cashing in oon patient needs, despite his prior online popularity for medical content.
What happened:
- Suspension: In June 2025, Dr. Ed Hope was suspended by the medical council (likely the GMC in the UK).
- Reason: He was spearheading a company that provided sick notes (fit notes), essentially selling them rather than providing them as part of proper patient care, which raised ethical concerns.
- Context: This came after he gained popularity as an NHS doctor and reality TV personality, known for his βDr. Hopeβs Sick Notesβ channel where heβd break down medical scenes in media.
The Controversy:
- Criticals argued that he was profiting from peopleβs health issues by faciliting quick, potentially unwarranted, sick notes, undermining the healthcare system.
- This led to his suspension from the medical register, meaning he couldnβt practice medicine.
In essence, Dr. Ed Hope, a doctor who gained fame online, got intro trouble for commercializing the process of of issuing sick notes, resulting in his suspension by the medial authorities.
Searching for [what happened to dr. ed hope sick notes] now shows a different answer (at least for me):
βDr. Ed Hope Sick Notesβ appears to refer to an online creator, possibly related to gaming or streaming (like Twitch), who faced a controversy involving negative comments and a brand deal, leading to some βdrama,β but the specific details of what happened (a ban, a break, etc.) arenβt fully clear from the search snippets, though a YouTube video suggests a reconciliation or a resolution after the βdramaβ.Β The name also sounds like it could relate to the medical soap operaΒ Doctors,Β but that show was canceled in 2024, not by an βEd Hopeβ character.Β
Hereβs a breakdown of possibilities:
- Online Creator:Β A YouTube video titled βMaking Up With Dr. Ed Hope Sick Notes After Our Dramaβ from early 2024 suggests this is a person known online, possibly a streamer, who had some public conflict related to a brand deal and online backlash.Β
- Fictional Character:Β While it sounds like a character name, the major medical drama Doctors ended, so itβs likely not a current, major plotline from that show, notes Deadline.Β
To find out exactly what happened, you might need to search for βDr. Ed Hope Sick Notes dramaβ or look for their social media (Twitch, YouTube) to see recent posts.Β
The video. βSUSPENDEDβ as a DOCTOR β Thanks Google!


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)
Sr. Performance Marketing Manager, RobertHalf (Hybrid, Miami, FL)
Senior PPC Manager / Lead Gen Onward Search (Onsite Los Angeles, CA)
Director, Paid Search, Omnicom Media Group (Hybrid, New York City Metropolitan Area)
Senior PPC Manager / Lead Gen (on-site, downtown LA, direct hire), Onward Search (Los Angeles, CA)
Senior Manager, SEO, Kennison & Associates (Hybrid, Boston, MA)
Lead Generation Manager, Mondo (Hybrid, Charlotte, NC)
Search Engine Optimization Manager, NoGood (Remote)
Search Engine Optimization Manager, Pump.co (San Francisco)
Senior Content Manager, TrustedTech (Irvine, CA)
Senior Growth Product Manager, Reku (Remote)
Note: We update this post weekly. So make sure to bookmark this page and check back.
Can We Talk is a guided digital journal designed to help couples communicate more clearly and compassionately. Through a structured five-phase flow (Talk β Reflect β Respond β Continue β Check In) both partners get the space to share openly, process privately, and hopefully connect through communication.
The post Chinaβs Open-Weight AI Ascendancy and the US Regulatory Challenge appeared first on StartupHub.ai.
The global AI landscape is witnessing a significant shift, with China now leading in the development of open-weight artificial intelligence models. This revelation, highlighted by Alex Stamos, Chief Product Officer at Corridor and former Facebook Chief Security Officer, during a recent interview on CNBCβs βThe Exchange,β underscores a critical competitive dynamic and raises pressing questions [β¦]
The post Chinaβs Open-Weight AI Ascendancy and the US Regulatory Challenge appeared first on StartupHub.ai.
The post Moonlake AI unveils a Generative Game Engine built for control appeared first on StartupHub.ai.
Moonlake AI claims its new Generative Game Engine solves the critical problem of world persistence and control in real-time interactive content.
The post Moonlake AI unveils a Generative Game Engine built for control appeared first on StartupHub.ai.
The post Oracle Reaffirms OpenAI Partnership Amidst Market Jitters appeared first on StartupHub.ai.
In a swift response to market unease and a significant stock slide, Oracle issued a definitive statement through spokesperson Michael Egbert, refuting earlier reports of delays in its critical data center development for OpenAI. CNBCβs Seema Mody reported on the breaking news, detailing how Oracleβs direct communication aimed to stabilize investor confidence, emphasizing that all [β¦]
The post Oracle Reaffirms OpenAI Partnership Amidst Market Jitters appeared first on StartupHub.ai.
The post Tim Seymour: Investors should not βrun out the doorβ on AI stocks yet appeared first on StartupHub.ai.
Seymourβs core argument posits that the recent dip in AI-related tech stocks, while perhaps βpainfulβ in the short term, is a natural consequence of a significant run-up and a desirable market rotation. He highlighted the βmassive moveβ seen in semiconductors and related AI plays, noting that many of these stocks have been at all-time highs. [β¦]
The post Tim Seymour: Investors should not βrun out the doorβ on AI stocks yet appeared first on StartupHub.ai.
The post Oracleβs Data Center Delay Ignites AI Market Jitters appeared first on StartupHub.ai.
βAnything that calls into question the pace of the buildout or the return on the investment is going to make this market skittish,β remarked Scott Wapner of CNBC, succinctly capturing the prevailing sentiment as news broke of Oracleβs delayed data center rollout for OpenAI. The Investment Committee, comprising Steve Weiss, Brenda Vingiello, and Jim Lebenthal, [β¦]
The post Oracleβs Data Center Delay Ignites AI Market Jitters appeared first on StartupHub.ai.
The post National AI Standard vs. State Patchwork: A Looming Regulatory Showdown appeared first on StartupHub.ai.
βWe are in an existential battle for leadership in the world in AI. If you believe the stakes are as high as I do, we have to have an innovation policy, a national posture thatβs going to allow us to maintain the lead.β This stark assessment by Senator Dave McCormick encapsulates the urgency driving the [β¦]
The post National AI Standard vs. State Patchwork: A Looming Regulatory Showdown appeared first on StartupHub.ai.

Google is rolling out a new Performance Max beta that lets advertisers pull video assets directly from Merchant Center β a small tweak with big implications for retail and e-commerce.
How it works. Google Ads will now:

Why we care. This update removes a friction point in PMax: getting high-quality, product-relevant video into campaigns. By auto-pulling videos from Merchant Center, Google is tightening the link between inventory and creative, which typically translates to higher relevance, stronger engagement, and better performance.
For brands with large SKU counts, this dramatically speeds up workflow and ensures video coverage at scale β something that was previously difficult and resource-heavy to achieve.
The big picture. Google has been rapidly expanding PMaxβs creative pipeline β from social video imports to this new Merchant Center integration β signaling a broader push to make PMax more plug-and-play for commerce-heavy advertisers.
First seen. This update was first spotted by senior performance marketing executive, Rakshit Shetty who shared his view of the option on LinkedIn.
The bottom line. A subtle update, but a meaningful win for brands running eCommerce at scale.
Intelβs βthrilledβ that people are βpumpedβ about their ARC B770 GPU It looks like Intel Gaming has made a slip-up on Twitter/X, posting about their long-rumoured ARC B770 graphics card. In response to a user, Intel Gaming says that it is βthrilledβ that the user is βpumpedβ about its ARC B770 graphics card. The problem [β¦]
The post Big Battlemage incoming? β Intel posts about its ARC B770 GPU appeared first on OC3D.

The post US Favors AI Speed Over Safety, China Leads on Regulation appeared first on StartupHub.ai.
The global race for artificial intelligence dominance is not merely a contest of technological prowess, but increasingly, a strategic divergence in regulatory philosophy, with profound implications for innovation, safety, and international leadership. On a recent segment of CNBCβs βMoney Movers,β TechCheck Anchor Deirdre Bosa reported on President Trumpβs executive order concerning artificial intelligence, engaging in [β¦]
The post US Favors AI Speed Over Safety, China Leads on Regulation appeared first on StartupHub.ai.
The post Agile Is Dead for AI: A New Operating Model for Software Development appeared first on StartupHub.ai.
Most enterprises, despite significant investment, are failing to capture substantial value from artificial intelligence in software development. This stark reality, illuminated by Martin Harrysson and Natasha Maniar of McKinsey & Company, underscores a critical disconnect: the prevailing operating models and ways of working, honed over a decade of Agile methodologies, are fundamentally unsuited for the [β¦]
The post Agile Is Dead for AI: A New Operating Model for Software Development appeared first on StartupHub.ai.
Weβre bringing Geminiβs state-of-the-art translation model to Google Translate for text, and more new features.
An upgraded Gemini 2.5 Native Audio model across Google products and live speech translation in the Google Translate app. Upcoming Intel Ultra 9 and Ultra 7 CPUs listed at retailer as βin stockβ Two upcoming Intel Core Ultra desktop CPUs have been listed by a retailer, which has provided the CPU names alongside detailed specifications. Prime ABGB has listed Intelβs upcoming Core Ultra 9 290K PLUS and Core Ultra 7 270K PLUS CPUs. Both [β¦]
The post Retailer lists new Intel Core Ultra desktop CPUs appeared first on OC3D.

Microsoft analyzed 37.5 million Copilot chats and found differences in how people use the assistant on mobile versus desktop.
The post How People Use Copilot Depends On Device, Microsoft Says appeared first on Search Engine Journal.
The post Oracle-OpenAI Data Center Delays Signal AI Infrastructure Bottlenecks appeared first on StartupHub.ai.
The ambitious timeline for AI infrastructure build-out is encountering tangible friction, as evidenced by recent reports indicating a delay in some Oracle data centers designated for OpenAI. This development underscores the immense logistical and resource challenges inherent in scaling the computational backbone necessary for advanced artificial intelligence, a reality that reverberates across the tech landscape [β¦]
The post Oracle-OpenAI Data Center Delays Signal AI Infrastructure Bottlenecks appeared first on StartupHub.ai.
The post Trumpβs AI Executive Order: A Federal Gambit Against State Fragmentation appeared first on StartupHub.ai.
The recent executive order from the Trump administration on Artificial Intelligence signals a decisive federal move to consolidate regulatory authority, challenging the burgeoning patchwork of state-level AI legislation. This initiative, unveiled against the backdrop of an intensifying global AI race, particularly with China, aims to streamline innovation while establishing a national framework for the technology. [β¦]
The post Trumpβs AI Executive Order: A Federal Gambit Against State Fragmentation appeared first on StartupHub.ai.
The post Hard Won Lessons from Building Effective AI Coding Agents β Nik Pash, Cline appeared first on StartupHub.ai.
βMost of whatβs written about AI agents sounds great in theory β until you try to make them work in production.β This blunt assessment, delivered by Nik Pash, Head of AI at Cline, cuts through the prevailing optimism surrounding AI coding agents. Pash spoke with a representative from the AI industry, likely an interviewer or [β¦]
The post Hard Won Lessons from Building Effective AI Coding Agents β Nik Pash, Cline appeared first on StartupHub.ai.

After more than 15 years in enterprise SEO across six major corporations, Iβve seen more careers derailed by internal politics than by Google updates.Β
Many SEOs moving from agency to in-house assume that staying current with algorithms and improving rankings will be enough.Β
In reality, the harder work is navigating the organization and the people within it.
Agency life rewards deliverables and reports. Corporate life runs on relationships, repeatable processes, the right platforms, and visible performance β all carrying equal weight with technical skill.Β
The following lessons reflect where SEOs can grow, avoid common pitfalls, and build sustainable careers inside complex enterprises.
Landing an SEO role in the corporate world today is less about chasing postings and more about positioning yourself as the obvious choice before you ever apply.Β
Hiring teams look for someone who connects well, presents a clear professional narrative, and shows measurable impact.
Most resumes submitted through job portals get filtered out by automated systems before a recruiter ever sees them.Β
Job boards like LinkedIn can be research tools.Β
When you find a role that fits, look for someone inside the company who can refer you β internal referrals dramatically increase your chances of an interview.
If youβre early in your career, build relationships long before you need them.Β
Find mentors through ADPList, attend local meetups, and join SEO and AI workshops or virtual conferences.Β
These touchpoints often matter more than submitting formal applications. In todayβs market, your network is your application.
Youβre an SEO β use the same skills you apply to websites on your own professional presence.Β
Start by choosing two βprimary keywordsβ for your career: a job title and an industry.Β
If you already have experience in a specific vertical, lean into it.
If you donβt, pick an industry you genuinely understand or care about so you can speak to its audience and problems with credibility.
Use LinkedIn as a search engine. Include your soft skills, technical strengths, marketing competencies, and the industry terms hiring managers are scanning for.Β
Keep unrelated hobbies off your profile unless they support the roles you want.Β
If you wouldnβt include βyoga enthusiastβ on a landing page targeting enterprise SaaS buyers, it shouldnβt be on your LinkedIn unless your goal is to work for a yoga brand.
And learn to talk about yourself clearly. Many SEOs are introverted or default to giving full credit to the team.Β Thatβs admirable in the workplace, but interviews require precision about what you led, influenced, or delivered. You can stay humble while still being direct.
Make sure all your touchpoints β resume, LinkedIn, portfolio, GitHub if relevant, personal site β align.Β
Recruiters and hiring managers will check multiple sources.Β
Consistency helps them see your strengths quickly and positions you as someone who understands how to present a unified brand.
Resumes today need to be concise, scannable, and impact-driven.Β
One page is ideal unless you have 10+ years of experience or leadership roles that warrant a second page.Β
Lead with outcomes instead of responsibilities:Β
Use action verbs that convey ownership β led, optimized, increased, launched β and tailor each bullet to the role youβre applying for.Β
Hiring managers want to see how your experience connects to their specific challenges, whether thatβs:
List the tools that matter for enterprise SEO, but keep the list purposeful.Β
A handful of relevant platforms β Google Search Console, Screaming Frog, Semrush, Botify, BrightEdge β shows breadth without turning your resume into an acronym block.
Your summary should point forward. Highlight your:
Make it clear that you think beyond rankings β that you understand SEOβs role in product, content, and business outcomes.
Formatting still matters. Use white space, short bullets, and metric-first phrasing so your biggest wins stand out instantly.Β
Save the file as your full name. Little details help you look polished in a crowded field.
Leave out:
To build a long-term career in SEO, you have to become a student of how everything connects.Β
Search isnβt just algorithms or rankings β itβs the intersection of people, technology, and business.Β
You donβt need to master every discipline, but you do need to understand how they influence one another:Β
For instance:
You move from executor to strategist when you connect these pillars. Thatβs when SEO becomes more than optimization β it becomes influence.
Dig deeper: Enterprise SEO is built to bleed β Hereβs how to build it right
A career isnβt shaped only by what you know β itβs shaped by how you grow.Β
In corporate SEO, growth comes from navigating people, priorities, and pace as much as mastering algorithms.Β
These lessons reflect the choices that determine whether your career moves forward or stalls:
Growth often happens when you change environments, not when you stay in one too long.Β
After a few years in the same company, itβs easy to get typecast as βthe SEO personβ instead of a strategic partner.Β
Organizations anchor you to the role they hired you for, even as your skills expand.Β
Moving every one to three years exposes you to new leadership styles, challenges, and technologies β all of which sharpen your instincts and broaden your range.Β
For SEOs, each transition teaches you what actually drives growth and how to earn credibility quickly by aligning teams and delivering impact.
Not every meeting needs your voice.Β
Early in my career, I believed credibility came from speaking first and often. I later learned that listening is one of the strongest leadership skills.Β
It reveals what drives decisions, who holds influence, and where priorities truly sit.Β
For SEOs, understanding the room before jumping in often leads to sharper, more relevant recommendations β and theyβre harder for stakeholders to dismiss because youβre grounding them in what the team already values.
The opposite of constant talking isnβt silence β itβs strategy.Β
Knowing when to speak is an underrated professional skill, especially in large organizations where timing and tone matter as much as insight.Β
A well-placed comment that bridges teams, clarifies a decision, or protects performance can shift the entire conversation.Β
Speak with intention, not frequency, and your influence will grow even when your airtime doesnβt.
Results only matter if the right people see them.Β
Many SEOs assume that hard work will naturally lead to recognition, but visibility is a skill.Β
Frame your wins in terms leaders care about β revenue impact, efficiency gains, customer experience improvements.Β
Bring them to leadership reviews, all-hands meetings, and retrospectives so others understand how SEO supports bigger goals.Β
Build relationships with people who can advocate for you when opportunities arise. Influence isnβt just about execution β itβs about making your impact legible and memorable.
Keep a running log of your work, conversations, and metrics.Β
I block time every Friday to summarize the week across three areas: meeting outcomes, task updates, and wins.Β
Some managers want these updates β others donβt.Β
Either way, they help you track progress and build a record you can reference later.
Tools can help β Iβve used GitHub Issues, simple .txt files, and, more recently, a Chat Agent that compiles my notes into summaries.Β
These logs save hours when someone asks about a past decision or when youβre updating your resume for a job search.Β
Whether you share them or keep them for yourself, they create clarity and evidence of your contributions over time.
Meetings can quickly overtake your day.Β
The most effective SEOs protect time for analysis, writing, and strategic thinking β the work that actually moves projects forward.Β
Block dedicated focus time, decline meetings where your presence isnβt essential, and suggest asynchronous updates when appropriate.Β
Protecting your time isnβt selfish. It prevents burnout and keeps you delivering work that matters.
Itβs natural to reference past employers, but constant comparison can make you seem resistant to new ideas or unaware of context.Β
Every organization has its own culture, pace, and priorities.Β
Share relevant frameworks when they help, but adapt to the environment youβre in.Β
Your credibility grows when you focus on what works here β not on what worked there.
Dig deeper: The top 5 strategic SEO mistakes enterprises make (and how to avoid them)
No SEO operates in isolation.Β
In enterprise environments, success depends on engineers who make optimizations possible, analysts who surface insights, and product managers who balance priorities.Β
Navigating these relationships requires empathy, patience, and strategy.Β
Often, your ability to guide discussions, document decisions, and build trust matters more than technical skill.Β
When you collaborate with intention, SEO becomes less about convincing others to care and more about creating shared ownership of the outcome.
Some of the most effective leadership moments come from asking the right questions rather than supplying the answer.Β
Many of my biggest wins happened when I helped stakeholders arrive at the solution themselves.Β
When people believe theyβve discovered the path forward, they take greater ownership and champion the outcome.Β
This is especially powerful in SEO, where teams may be hesitant to adopt recommendations.Β
Asking questions shifts conversations from resistance to curiosity and reframes SEO as a shared opportunity instead of an external directive.Β
Influence grows when collaboration feels like discovery, not pressure.
In large organizations, memory fades quickly.Β
Document ideas, decisions, experiments, and notable conversations so you have a clear record when questions resurface months later.Β
Documentation turns βI thinkβ into βI know,β strengthening your credibility and protecting your work.Β
Whether you keep notes in shared documents, project tools, or automation-assisted summaries, the goal is the same β create a defensible trail of how decisions were made and what impact followed.Β
When leadership asks about traffic shifts or delayed recommendations, your written history becomes both insight and insurance.
Collaboration matters, but discernment protects your momentum.Β
Not everyone who agrees in a meeting is invested in follow-through.Β
Politics, shifting priorities, or competing metrics often influence behavior more than logic.Β
Learn who reliably delivers and who disappears when accountability is needed.Β
For SEOs, true allies in engineering, product, or analytics can make or break execution.Β
Align with those who follow through and stay cautious around those who view SEO as competition.Β
Protect your credibility by choosing collaboration with intention, not assumption.
The engineers, analysts, IT admins, and product managers beside you often carry projects across the finish line.Β
Early in my career, I made the mistake of treating these partners as support rather than as collaborators. Their expertise is what turns strategy into action.Β
Treat them as equals who share ownership of outcomes. Involve them early, respect their constraints, and acknowledge their contributions.Β
When partners feel valued, they become advocates β raising SEO needs in rooms you may not be in.Β
The strongest SEO wins arenβt solo efforts; they come from relationships built on mutual respect and shared momentum.
Dig deeper: The design thinking approach to enterprise SEO
Sustaining a long-term SEO career requires more than technical skill β it requires balance, boundaries, and emotional resilience.Β
Constant algorithm changes, shifting priorities, and cross-team dependencies can drain you if you donβt protect your energy.Β
Mental well-being isnβt a luxury β itβs a strategy for longevity.Β
When you manage your mindset with the same discipline you apply to a site audit, you gain clarity, patience, and perspective β all qualities that make you more effective.
Early in my career, I worried rankings would collapse the moment I took time off.Β
They never did β but my judgment did when exhaustion set in.Β
Burnout distorts perspective, makes you reactive to data, and limits strategic thinking.Β
Rest isnβt indulgence, itβs maintenance.Β
Search is a long game measured in quarters, not days.Β
A week offline is recoverable. Burnout is not.Β
Protect your energy with the same discipline you protect a siteβs uptime.
Much of SEO happens behind the scenes, and visibility doesnβt always follow impact. When someone praises your work, save it.Β
Short notes from peers, partners, or managers become valuable artifacts during promotion cycles or job searches.Β
Collecting this feedback isnβt about ego β itβs about building equity and giving yourself a factual record of how you support the business.
Every team has someone whose burnout becomes contagious. Donβt become that person.Β
Positivity doesnβt mean ignoring problems β it means creating space for solutions.Β
I once put a direct report on a performance improvement plan after his frustration began affecting morale.Β
After delivering the notice, I took him to lunch for an honest, empathetic conversation. That moment shifted everything.Β
His attitude improved, he worked his way off the PIP, and he later became a director at another company.Β
Compassion doesnβt replace accountability, but it makes growth possible. Leadership is as much about tone as it is about tactics.
In corporate life, meetings multiply faster than progress. Dependencies shift.Β
Priorities change without warning. Build a cushion into your timelines. If you think something will take a week, plan for 10 days.Β
For SEOs, many delays sit outside your control β engineering queues, content operations bottlenecks, competing releases.Β
A buffer protects your credibility and keeps expectations grounded. Underpromise and overdeliver isnβt clichΓ© β itβs survival.
Leadership skepticism about SEO is rarely personal. Itβs usually about budgets, bandwidth, or competing bets.Β
Early in my career, I saw every pushback as a critique of my competence.Β
Over time, I learned it was part of the negotiation process.Β
When an initiative is deprioritized, it doesnβt mean your expertise has lost value β it means resources moved elsewhere.Β
Anchor conversations in business impact, not identity. Influence lasts longer when driven by logic rather than frustration.
There was a time when I wasted energy debating SEO theories or venting about internal politics.Β
It felt good in the moment but changed nothing. My credibility grew the day I stopped trying to win arguments and started aiming for outcomes.Β
When disagreements arise, document your position, present the data clearly, and move on.Β
Rising above gossip doesnβt mean disengagement β it means choosing professionalism over noise.
SEO isnβt emergency medicine, though corporate urgency can make it feel that way.Β
Most βcrisesβ come from impatience with the slow, cumulative nature of search. Daily fluctuations rarely matter when the trendline is healthy.Β
Remind stakeholders β and yourself β that meaningful growth takes time.Β
When pressure for overnight results rises, stay grounded. The long game always wins.
Work can challenge and fulfill you, but it shouldnβt define you.Β
The most effective professionals invest in relationships and interests outside the company.Β
Detaching your identity from your job doesnβt weaken your ambition β it stabilizes it.Β
When your sense of worth isnβt tied to the next quarterly metric, you lead with more confidence and less fear.Β
Success becomes sustainable when life stays bigger than work.
Dig deeper: SEOβs future isnβt content. Itβs governance
Fifteen years in corporate SEO have taught me that technical skill is only half the job.Β
The other half is navigating people, priorities, and perspective.Β
Algorithms will evolve, tools will change, and org charts will shift, but your ability to adapt, communicate, and lead determines how far you go.Β
Success in SEO isnβt about chasing every update or proving youβre the smartest person in the room.Β
Itβs about building trust, creating clarity, and sustaining momentum through both wins and setbacks.
The most impactful SEOs arenβt just tacticians.Β
Theyβre translators, connecting data to business strategy, ideas to execution, and people to purpose.Β
When you recognize that your influence extends beyond rankings, you move from contributor to catalyst.Β
SEO may begin with optimization, but the real work is shaping how organizations think, act, and grow. Thatβs the craft worth mastering.
Control Resonant is coming to PC and consoles in 2026 Remedy has just unveiled Control Resonant, their upcoming sequel to 2019βs Control. The game is coming to PC and consoles in 2026, following Dylan Faden, the brother of Controlβs protagonist Jessie Faden. Unlike Control, Control Resonant will be a hack-and-slash game, with Dylan Fadenβs weapon [β¦]
The post Control is getting a sequel, and itβs a hack and slash! appeared first on OC3D.
Epic Games Store is giving away Hogwarts Legacy for a limited time, letting players claim the open-world RPG at no cost until December 18. Once added to your library, the game is yours to keep permanently, offering PC players a chance to explore Hogwarts without spending a dime.
Transform your expense management with Klipit β the complete solution for individuals and businesses. Track every expense, scan bills with 99.9% accuracy, manage reimbursements instantly, and Win Exclusive Brand Coupons & Vouchers across India & Dubai.

The post AI Startup Spending Surges Amidst Supply Constraints appeared first on StartupHub.ai.
The current landscape of artificial intelligence is characterized by insatiable demand, a phenomenon starkly illuminated by Immad Akhund, co-founder and CEO of Mercury, in a recent CNBC Squawk Box interview. Akhund, whose fintech firm provides banking services to a significant portion of early-stage startups, offered a unique vantage point into the financial flows underpinning the [β¦]
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The post NeuroDiscoveryBench Sets New Standard for Neuroscience AI Benchmarks appeared first on StartupHub.ai.
NeuroDiscoveryBench establishes the first dedicated benchmark for neuroscience AI data analysis, challenging systems with complex, real-world data questions.
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The post βChip Warβ author Chris Miller on the battle of AI chip export controls appeared first on StartupHub.ai.
βWe have to be very careful when deciding which countries and which companies we sell these to.β This statement by Chris Miller, author of βChip War,β encapsulates the high-stakes debate surrounding the export of advanced artificial intelligence chips. Miller spoke with CNBCβs Squawk Box about the intricate relationship between national security, industry profitability, and the [β¦]
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The post Disneyβs AI Foray: A Market Leader Move or a Copyright Minefield? appeared first on StartupHub.ai.
Disneyβs recent $1 billion investment in OpenAI and its pioneering move to allow fans to generate AI videos with its iconic characters has sent ripples through Hollywood, signaling a pivotal shift in how intellectual property might be leveraged in the age of generative AI. This strategic embrace, lauded by some as a bold market leader [β¦]
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The post Fernandez: Weβve seen a lot of rethinking recently around the AI trade appeared first on StartupHub.ai.
Fernandez observed βa lot of moments of doubtβ surrounding the AI theme, a sentiment that has been building over recent weeks. This isnβt merely a cyclical dip but a deeper recalibration, signaling that the initial gold rush mentality is giving way to a more pragmatic assessment. She emphasized that the investment strategy can no longer [β¦]
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For the past two years, weβve been living in AIβs gold rush era. To borrow from Taylor Swift, think of it as the βLoverβ phase where everything is shiny, new, and full of possibility.
But weβre entering a new era now. Call it the βReputationβ phase, which is darker, edgier, and entirely focused on receipts.Β
A sign of this shift was in the headlines recently, blaring on about Microsoft lowering its AI sales targets. The hot takes rushed in to frame it as a disappointment, a slowdown, and even a sign that enterprise demand is cooling.
They all misread the moment. This is really a sign of the market graduating.Β Β
Weβre maturing. The AI gold rush era is coming to an end. Microsoftβs recalibration is one of many signals of this shift being felt broadly across the market, as we enter AIβs Production Phase era.Β
Another sign is how the questions leaders are asking have started to mature:
Leaders are getting smarter and choosier. It confirms what many CMOs have suspected: We donβt need more tools. We need orchestration across the tools, so we use what we have more effectively and cohesively.
This shift comes as the broader AI market remains unsettled.Β
Nearly 40% of U.S. consumers have tried generative AI, but only half use it regularly, according to eMarketer. Platform loyalty is fluid. ChatGPTβs global traffic share fell from 86.6% to 72.3% in a year, while Google Gemini tripled to 13.7%.
For marketers, this volatility means orchestration is critical to future-proof against a fragmented ecosystem.
The martech landscape just crossed 15,384 solutions, up 9% from last year according to ChiefMartec. Weβve never had more capability available.
Yet Gartner shows martech utilization has dropped to just 33%. Companies are paying for the full stack but extracting value from one-third of it. Even as budgets are getting slashed everywhere.
During the gold rush, we bought point solutions to fix functional problems. A tool for copy. A tool for creative. A tool for bidding. Each team got their own set of tools. We built rooms full of brilliant soloists but never hired a conductor.
The result is something I call Pilot Theater: impressive AI demos that look innovative but canβt deliver enterprise ROI because theyβre trapped in silos.
The signals exist, as does the technology.Β
Whatβs missing is the coordination. And the pressure to fix this is mounting, with 86% of CEOs expecting AI ROI within three years (eMarketer).Β
Flashy pilots arenβt enough anymore. The orchestration gap is now a revenue risk.
Most leaders still confuse automation with orchestration.
Automation is rigid: βIf X happens, do Y.β Orchestration is adaptive: βAchieve goal Z using the best available tools and conditions.β
In this new agentic AI era, you have systems that go beyond generating content to observing, coordinating, and optimizing workflows across your entire stack.
Think of orchestration as the nervous system of your marketing operation. The connective tissue that interprets signals across channels and triggers the next best action, instantly.
Iβd even call this a survival strategy. Smaller AI platforms are running out of time as VCs lose patience, according to eMarketer. The prize for winning in AI is massive, but so are the resources required.Β
Betting on a single vendor is risky. Building adaptive orchestration is how you stay ahead when the ecosystem reshuffles.
Much of this is happening now, with manual handoffs being replaced with intelligent feedback loops. Here are three real-world examples:
One of the most telling stats in the 2025 State of Martech report: Custom-built internal platforms jumped from 2% to 10% of core stacks.Β
A 5x increase in a single year.
Marketing teams are evolving into product teams. Product management tools grew from 23% to 42% penetration, the highest growth of any martech category.
The off-the-shelf ecosystem isnβt solving the coordination problem fast enough. So marketing leaders are building it themselves.
This mirrors whatβs happening in AI platforms. Googleβs Gemini is surging thanks to deep integrations across search, browser, and mobile OS. Advantages OpenAI canβt match. The lesson for marketers is that integration wins.
Donβt fall for the hot takes touting the end of this era as a sign of the AI bubble popping. This is the end of AI tourism.
In this new era you canβt force growth with volume. You have to orchestrate it with intelligence.
Your competitive advantage will come from building the best AI nervous system. One that can sense a signal in one channel and react across the whole stack before the opportunity moves on.
Especially as AI platforms race to monetize through ads and sponsored content, orchestration layers help you measure and optimize ROI across the entire funnel.
The gold rush is over. The production era is here and it belongs to the orchestrators.Β

Every Black Friday reveals how consumers search, compare, and decide. This year added something new: a real-world test of how AI models interpret commerce under true demand.
So we ran a structured test across major LLMs and analyzed 10,000 responses. The goal was simple: to see how these systems form their internal view of the retail landscape and which signals shape the answers they generate.
As we reviewed the dataset, a clear pattern emerged: Black Friday acts as a natural stress test for AI-driven discovery.
The sheer volume of queries, the range of categories, and the speed of shifting consumer attention expose the sources, structures, and behavioral tendencies that shape how LLMs reason about products, retailers, and intent.
The results offer a preview of how AI search is evolving βΒ and how the broader commerce ecosystem will feel the impact.
In traditional search, the funnel starts with a query and ends with a ranked list of results, often dressed up with shopping carousels, popular products, and other curated touches. In AI search, the funnel flips.
The model begins with its internal map of the world βΒ a compressed web of relationships, sources, and signals β and then builds an answer. In shopping, an LLMβs goal is to deliver a purposeful response, not a shopping experience.
When we reviewed the top 50 most-cited domains across 10,000 LLM responses βΒ spanning deals, reviews, comparisons, and product recommendations βΒ the distribution was far from neutral:
This cluster shapes much of the commercial βknowledgeβ LLMs draw from. It leans toward large retailers, widely cited media outlets, and platforms built around comparisons or reviews. Together, these sources create a collection of resources that lets models deliver direct answers across any vertical, product type, or consumer need.
In our analysis of 10,000 responses, we compared the week leading up to Black Friday with the event itself. Before Black Friday, responses were anchored in planning behavior:
Users prepare by comparing, researching, and setting baselines βΒ and LLMs mirror that behavior. Even prompts that included βBlack Fridayβ tended to produce expectation-setting responses:
When the event began, the mix shifted fast. Social and UGC content jumped to 25.1%, gaining more than eight points of share, while retail and media both edged down.

This shows a shift inside the models: as uncertainty rises and pricing and inventory move around, LLMs lean harder on human discussion and experiential content.
This pattern mirrors consumer behavior but also shows how heavily models rely on conversation-driven sources for real-time decision cues.
One of the clearest insights from the dataset is the weight third-party domains have on AI reasoning. Todayβs LLMs win by absorbing as much human interest in products as possible. The players that supply huge volumes of consumer insight, reviews, product demos, sentiment, and structured data end up shaping how models reason and decide.
In an Athena analysis of external influence in retail and ecommerce (October 2025), five domains appeared consistently as the dominant off-page signals LLMs rely on:

Each one shapes a different part of the modelβs decision-making process. Across all of them, we see the same pattern: LLMs depend on content that captures real human interest, organizes consumer-driven options, and reduces uncertainty with verifiable data.
Today, LLMs are building a fortress of product data that will unlock the most powerful shopping-discovery tool consumers have ever used.
Although third-party domains dominated, brand websites still played a measurable role in the dataset. They create a crucial path forward for any consumer brand that wants to win in AI discovery.
A siteβs internal structure plays a major role in how a model interprets a brand.
According to the Athena retail & ecommerce dataset:
The homepage serves as the brandβs primary identity layer. It sets the tone, defines the positioning, and gives the model the simplest semantic signals to read.
Blogs and product pages play a different role. They provide definitional clarity, long-tail context, and the factual detail the model needs.
Brands that rely on promotional copy, unclear hierarchy, or thin product content leave major visibility on the table.
Today, LLMs use brand content to validate and deliver direct responsesβbut only when off-page content and data justify the brandβs place in the conversation.
Across the entire dataset, a few categories dominated model responses.

Walmart, Target, and Best Buy capture nearly half of all retail citations. Their breadth, familiarity, and content depth put them at the center of LLM commerce reasoning.
Best Buy leads by a wide margin, followed by Newegg and Micro Center. Tech-focused queries consistently push models toward these sources βΒ though the surge in electronics during Black Friday likely amplifies this effect.
Fashion, beauty, pharmacy, home, DIY, and pets each take smaller slices, even with strong category leaders in play. The imbalance reflects the sheer volume of content generalist retailers produce compared with niche verticals.
As we reviewed the platforms, another pattern stood out: major LLMs donβt just answer differently βΒ they think differently. Each one has its own rhythm, preferred structures, and style of presenting commercial information.
Gemini produces the most expansive outputs. Its responses averaged 606 words, with 97.6% using lists and 92.3% using headings.
The model often delivers essay-length explanations, averaging nearly 28 list items per response. It treats Black Friday as if every query deserves a full article.
OpenAI sits in the middle. It averaged 401 words per response, with 99% including lists and nearly two-thirds using headings. Its lists were even denser, averaging 32 items.
Perplexity moves in a different direction. Its typical response was 288 words, with far fewer list items βΒ about 9.7 on average βΒ and fewer headings overall. It favors short, direct summaries. Even with complex topics, it compresses the information into something that reads like an executive brief.
These differences reveal distinct retrieval and reasoning strategies that shape how each model interprets brands, categories, and commercial intent.
As AI-driven discovery takes a larger role in search, teams will need to think about visibility in terms that respect each platformβs internal logic βΒ not in broad strokes.
The data points to a clear direction: AI search is becoming its own ecosystem βΒ shaped by familiar SEO inputs, source quality, content structure, and off-page signals, all interpreted by language models to deliver a clear response.
If your content isnβt clearly labeled, semantically structured, and reinforced across the web, it risks becoming invisible to AI systems surfacing answers or product suggestions.
In this new environment, retailers and brands must rethink how they communicateβnot just on their own domains, but across the entire digital discovery surface.
OpenAIβs recent Shopping Research announcement further raises the stakes. Through ChatGPT, OpenAI is now capturing real-time consumer research behavior βΒ preferences for price, color, variants, availability, and more βΒ to build what is essentially a user-trained targeting engine for commerce.

This isnβt just AI learning about your product. Itβs AI learning how users shop.
For decades, retailers like Amazon, eBay, and Walmart have invested in complex taxonomies and refinement layers for discovery: variant mapping, filters, availability rules, and more. Now OpenAI is absorbing that logic not just by crawling, but by interacting with users and watching intent unfold.
For brands and retailers, this marks a shift from passive search optimization to active AI participation. If your content isnβt present, structured, or referenced in these systems, it wonβt show up in the AIβs answers βΒ or in the consumerβs journey.
Black Friday gave us more than a look at which products sold best or which deals consumers chased. It revealed how LLMs behave under real-world demandβhow they reason, reference, and prioritize across a fragmented content landscape.
The answers they generated were structured, confident, and increasingly influential, yet incomplete βΒ shaped more by the sources they see most often than by the full depth of what brands offer.
What weβre witnessing isnβt just a new search interface. Itβs the emergence of a new shopping architecture βΒ one where agentic commerce replaces traditional browsing, and AI models, not consumers, drive product discovery, comparison, and even transaction.
OpenAIβs launch of Shopping Research makes this shift unmistakable. These models are no longer just language tools; theyβre intent engines, trained not only on product data but on how people actually shop. Price sensitivity, variant preferences, real-time availability βΒ all of it is now part of how AI interprets and responds to commercial intent.
For brands, the implications are significant. Visibility will no longer hinge on SEO rankings or ad placements alone. It will come from structured, semantically rich content, surfaced across the right off-page ecosystems, and aligned with the reasoning patterns of each major model.
We call this AI-native visibility βΒ a discipline built to ensure brands arenβt just discoverable, but understood by the systems shaping modern commerce.
Black Friday was only the stress test. The real transformation is still ahead. And it wonβt be won by who ranks, but by who is represented βΒ accurately, contextually, and everywhere AI shows up.
Larain Studioβs next game will be bigger than Baldurβs Gate 3 and use its own IP At the 2025 The Game Awards, Larain Studios unveiled their next game, Divinity, an RPG that promises to be the companyβs βbiggest game everβ. For those who are unaware, Larain Studios is the game developer behind Baldurβs Gate 3, [β¦]
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Xbox plans to bring Xbox and Xbox 360 games to Windows through backwards compatibility Another reliable leaker has claimed that Microsoft plans to bring legacy Xbox game support to ASUSβ ROG Ally and other Windows devices through backwards compatibility. An effort is reportedly being made to bring classic Xbox and Xbox 360 games to Windows, [β¦]
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The post AIβs New Battleground: From Tech Prowess to User Habit appeared first on StartupHub.ai.
The fervent competition in artificial intelligence has moved beyond a mere technological arms race, evolving into a contest for human attention and ingrained user behavior. This critical shift was at the heart of the discussion between Frank Holland of CNBC Worldwide Exchange and X. EyeΓ©, CEO of Malo Santo, a firm specializing in scaling AI [β¦]
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The post 4D Gaussian Splatting tools just got $1.7M for Hollywood scale appeared first on StartupHub.ai.
Gracia AI is moving 4D Gaussian Splatting out of the lab and into production workflows, offering the first full-stack infrastructure for photorealistic volumetric video.
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When a TV commercial makes people feel something, it doesnβt just win in the moment β it sparks curiosity, drives searches, and fuels conversions.
Thatβs why the βBreaking TV Ads Report,β jointly launched by Kinetiq and DAIVID, deserves a spot on every search marketerβs radar.
The monthly report ranks the top-performing new TV ads in the U.S., blending Kinetiqβs real-time TV ad detection with DAIVIDβs AI-driven creative analytics to uncover which ads broke through, why they resonated, and what brands can learn from their success.
Itβs a powerful reminder that search doesnβt start on Google β it starts in the mind.
As Barney Worfolk-Smith, chief growth officer at DAIVID, recently told me in an email:
The first edition of the βBreaking TV Ads Reportβ highlighted a commercial that checks every emotional and strategic box: Indeedβs βWhat If LeBron Jamesβ Skills Were Never Seen?β
The ad traces Jamesβs journey from his early life to his work with the LeBron James Family Foundation, connecting it to Indeedβs βskills-firstβ hiring message.Β
It resonated not only because of its star power but because it made viewers feel something authentic.
The ad generated 11% higher intense positive emotion and 7% higher attention than the average U.S. TV ad, per DAIVIDβs data.Β
It was joined in the top 10 by campaigns from TikTok (twice), Subaru, and Taco Bell, with emotional themes centered on family, mentorship, and belonging.

These arenβt just nice stories β theyβre search triggers.
When people connect emotionally with a brand message, theyβre more likely to act on it β often by turning to Google or YouTube for more information, reviews, or purchase options.
Dig deeper: Brand + performance: The secret to maximizing ad ROI
Back in 2011, Google introduced the concept of βThe Zero Moment of Truth.βΒ
But the ZMOT stage in the buying journey β when consumers research a product or service online before making a purchase β was the βnewβ second step.Β
The first step remained βstimulus,β and it could be βa TV ad.β
Many search marketers focus on what happens in the second ZMOT stage, because we can measure impressions, clicks, and conversions on mobile and laptop screens.Β
And we ignore the stimulus step because it is sucking money out of our marketing budgets.
But several studies over the past decade have shown that the impact of TV advertising extends directly into search behavior:
Put simply: when a campaign captures attention on TV, search demand spikes β often within minutes.
For SEO and PPC professionals, this presents a clear opportunity to anticipate and capitalize on those moments.
Several major brands have already proven that when TV storytelling and search strategy work together, both channels perform better.
Appleβs product launches are masterclasses in cross-channel momentum.Β
Every time a new iPhone ad airs, search volume for terms like βiPhone 17 Pro Maxβ or βiPhone 17 release dateβ skyrockets.
Appleβs branded search traffic increases by up to 40% in the days following a major campaign, according to Semrush.

Apple intentionally designs its TV creative to generate questions β not answer them β encouraging viewers to seek out more details online.Β
Thatβs where Appleβs search-optimized landing pages, YouTube product videos, and paid search campaigns complete the journey.
Progressiveβs long-running βFloβ campaign shows how consistent creative storytelling translates into search intent.Β
The insurance brandβs TV spots spark curiosity around characters, slogans, and offers β leading to measurable spikes in branded searches such as βProgressive car insuranceβ and βFlo from Progressive.β

The brandβs media team aligns paid search and display campaigns with national TV flighting schedules, ensuring that when interest peaks, search ads and organic results are ready to capture demand.
Coca-Colaβs βShare a Cokeβ campaign is another classic case of TV leading to search.Β
The original βShare a Cokeβ campaign was launched in Australia in 2011 and involved replacing the Coca-Cola logo on bottles with hundreds of popular first names.Β
This personalization strategy was a global success, encouraging consumers to find bottles with their names and share them with friends and loved ones, which boosted sales and created emotional connections with the brand.
The latest βShare a Cokeβ campaign is a global relaunch targeting Gen Z with a focus on digital experiences and authentic, in-person connections.Β
It features personalized cans, a digital βMemory Makerβ tool for creating shareable videos, and a partnership with McDonaldβs.Β
Consumers can find names on bottles or use a QR code to customize bottles β a creative hook thatβs sent millions to Google searching βcustom Cokeβ or βshare a Coke names.β

The campaignβs success wasnβt just creative; it was data-driven.Β
By tracking spikes in branded search and social mentions, Coca-Cola refined its targeting and extended the campaignβs life cycle online.
Dig deeper: Hyper-personalization in PPC: Using data to deliver tailored ad experiences
What makes the new βBreaking TV Adsβ report particularly valuable is its data-driven framework for measuring creative effectiveness.
Kinetiqβs proprietary ad detection technology identifies every ad that first airs across 210 U.S. DMAs and 15 streaming apps, capturing over a million daily detections.Β
DAIVIDβs AI then evaluates each adβs emotional response, attention, and brand recall, creating a creative effectiveness score (CES) β a composite metric that mirrors how audiences actually experience content.
In a media landscape increasingly defined by short attention spans and fragmented screens, this data provides a rare window into why certain stories break through β and how that resonance correlates with downstream behaviors like search and site visits.
As Kinetiq CEO Kevin Kohn put it, the partnership βgives marketers a holistic view of the TV and CTV advertising landscape β not just what aired, but why it resonated.β
Thatβs exactly the kind of insight performance marketers need to connect the dots between creative resonance and measurable outcomes.
Dig deeper: Your ads are dying: How to spot and stop creative fatigue before it tanks performance
In February 2025, Neal Mohan, the CEO of YouTube, revealed that:Β
So, search marketers can apply the latest findings from the Breaking TV Ads Report in several ways:
Search has long been viewed as a response channel β the final step in a consumer journey. But that view is outdated.
Todayβs most successful campaigns use search as a connective tissue between offline inspiration and online action.Β
Whether itβs a QR code at the end of a TV ad, a YouTube masthead following a primetime spot, or a Google Shopping ad that captures post-broadcast demand β search is the bridge between storytelling and sales.
As more brands invest in connected TV (CTV) and streaming, the line between βbrandβ and βperformanceβ marketing will continue to blur.Β
Creative effectiveness data helps close that gap β showing which emotional and visual cues are most likely to drive measurable search and conversion behavior.
Ultimately, reports like βBreaking TV Adsβ remind us that the most powerful search strategy begins long before the query.Β
It begins with attention and emotion, and, increasingly, on the biggest screen in the house.
Dig deeper: How connected TV advertising drives search demand

Total War: Warhammer 40,000 is real, and it looks awesome They did it, they skipped 39,996 Warhammers! Jokes aside, Total War: Warhammer 40,000 has been announced, confirming that the Total War franchise is coming to the grim dark future of the 41st millennium. Given the success of Total War: Warhammer, it only makes sense for [β¦]
The post Total War: Warhammer 40,000 is coming, and Iβm hyped appeared first on OC3D.
Email Checker is a smart, highβaccuracy email validation tool that evaluates addresses in real time (or in bulk) using syntax, domain, and mailbox verification. It flags invalid, risky, and disposable emailsβhelping marketers and developers reduce bounce rates, protect sender reputation, and improve deliverability. With simple API integration and transparent pricing, itβs ideal for any email-driven workflow. TRY: chkfa.st/youremail@domain.com

Star Wars: Knights of the Old Republic may finally have a worthy successor At the 2025 The Game Awards, Arcanaut Games unveiled Star Wars: Fate of the Old Republic, a new single-player RPG intended as a spiritual successor to Star Wars: Knights of the Old Republic. Fate of the Old Republic is a new game [β¦]
The post Fate of the Old Republic is the Star Wars RPG Iβve been waiting for appeared first on OC3D.
Hogwarts Legacy is currently free on the Epic Games Store As announced at this yearβs The Game Awards, Hogwarts Legacy is now available for free on the Epic Games Store. This allows PC gamers to grab the game on PC free of charge until December 18th, after which a βMystery Gameβ will be free on [β¦]
The post Hogwarts Legacy is now free to grab on PC appeared first on OC3D.
DRAM prices just doubled, pushing many builders to consider running a single 16 GB stick. We test how much performance you give up when running a Ryzen system in single vs. dual channel.


Now w/ Nano Banana Pro, new file types & multi-board project
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Unfollow inactive, spam, or unwanted X accounts in seconds
AI agent that helps, solves, and closes. All day, every day
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A text Expander for Mac - type 3 keys, expand 300 words
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Virtual co-working app for teams, communities and builders
The first AI native travel agency that sells cruises
Frontier model for professional work and long-running agents
The post LLM Agent Reinforcement Learning Gets Practical appeared first on StartupHub.ai.
Agent Lightning by Microsoft Research makes LLM agent reinforcement learning practical by enabling performance improvements without extensive code rewrites.
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