Wavlink's new Thunderbolt 5 dock is way more affordable than the competition — it's now my favorite budget option if you need extra ports
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 AI’s 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 […]
The post Intelligence as Parsimony and Self-Consistency: Rethinking AI’s 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 — 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 model’s utility isn’t 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. Song’s presentation highlighted MiniMax’s distinctive approach as both a […]
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 — 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 […]
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 Intel’s PowerVia tech AMD has issued a new job listing for a Physical Design Verification CAD Engineer, and has asked explicitly for candidates who have “knowledge of Power Via”, an Intel technology. This suggests that AMD may make some future chips with Intel silicon inside. PowerVia is […]
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 […]
The post AI Breaks Data Barriers with Text-to-SQL appeared first on StartupHub.ai.
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 embedded—no 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 “mental load” 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 “proactive agents,” […]
The post Proactive Agents: Shifting from Reactive AI to Intelligent Collaboration appeared first on StartupHub.ai.
The post ADAM Robot Bartender: AI Solves Hospitality’s 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 Hospitality’s 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 consequences—and how to recover from them professionally.
Sophie accidentally launched a campaign with worldwide location targeting enabled instead of restricting it to the client’s 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 honesty—acknowledging the mistake, explaining what happened, and fixing it immediately. Transparency helped preserve trust, even though the client was understandably unhappy.
This wasn’t a lack of knowledge—it 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 £3.5 million. The initial mistake didn’t define the outcome—how 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.
Sophie’s guidance is simple: pause, investigate, and be honest. Check metrics and settings immediately, take responsibility, explain what went wrong, and clearly outline how you’ll prevent it from happening again. Mistakes become serious problems only when they’re mishandled.
Sophie regularly audits accounts that haven’t 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 pages—fundamentals 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 they’re doing. You can’t over-check your settings—but 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 CNBC’s “Mad Money,” delivered a stark assessment of the market’s recent performance, declaring it an “ugly day if you own nothing but AI companies.” This pointed commentary, delivered on his program, highlighted a significant downturn in the tech-heavy Nasdaq, a stark contrast to a “normal, decent day if you own anything […]
The post AI Stocks Hit the Brakes as Market Rotates Away from Hyper-Growth appeared first on StartupHub.ai.
GetCito is the world’s 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 brand’s presence in AI-driven results.
The post AI’s Unprecedented Surge: IP Battles, Strategic Alliances, and the Race for Dominance appeared first on StartupHub.ai.
“Disney is the biggest holder of them all,” Matthew Berman observed, commenting on the entertainment giant’s vast intellectual property portfolio. This singular statement encapsulates the week’s 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 […]
The post AI’s 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 […]
The post AI: More Than a Platform, Less Than a Prophecy appeared first on StartupHub.ai.
The post Oracle’s 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 Oracle’s stock within the burgeoning artificial intelligence sector, suggesting it will likely underperform its large-cap AI peers by 2026. This assessment, delivered during a “Fast Money” segment on CNBC, delved into the intricacies of investor sentiment, capacity constraints, and […]
The post Oracle’s AI Hurdles Reflect Broader Market Skepticism appeared first on StartupHub.ai.
The post AI’s Frontier: Navigating Safety, Scale, and the Human Element appeared first on StartupHub.ai.
“The biggest risk to AI is not that it will become too intelligent, but that it will become too widespread without adequate safeguards.” 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 […]
The post AI’s 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, HSBC’s Global Private Banking & Wealth Americas CIO, who recently engaged […]
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 “AI anxiety.” This apprehension stems not from a lack of belief in AI’s transformative power, but from the immense scale of infrastructure buildout promised and the precariousness of delivering on those commitments. […]
The post AI Buildout Promises Face Investor Scrutiny appeared first on StartupHub.ai.
The post Roadrunner’s 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 Perkins’ latest entrepreneurial force, as he embarks on his new venture, Roadrunner. In a recent interview with Swyx on the Latent Space podcast, Mirzadegan peeled […]
The post Roadrunner’s AI-Native Ambition to Fix Enterprise Quoting appeared first on StartupHub.ai.
The post Trump’s AI Order: Speed Gambit in Geopolitical Tech Race appeared first on StartupHub.ai.
President Trump’s 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. CNBC’s Deirdre Bosa, reporting on the implications of this order, highlighted the administration’s stated rationale: to prevent U.S. companies from being “bogged down […]
The post Trump’s AI Order: Speed Gambit in Geopolitical Tech Race appeared first on StartupHub.ai.

UK doctor and YouTuber Dr. Ed Hope said Google’s 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.
Google’s 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. Google’s 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 Google’s AI said: Hope shared screenshots of Google’s AI stating that he:
‘None of this is true.’ 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 Google’s 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 “just a mistake.” The AI didn’t hedge, speculate, or ask questions, Hope said. It asserted false claims as settled fact. Hope said that matters because:
The big legal question. Is Google’s 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 “Dr. Hope’s Sick Notes” 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 “Dr. Hope’s Sick Notes” channel where he’d break down medical scenes in media.
The Controversy:
- Criticals argued that he was profiting from people’s health issues by faciliting quick, potentially unwarranted, sick notes, undermining the healthcare system.
- This led to his suspension from the medical register, meaning he couldn’t 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):
“Dr. Ed Hope Sick Notes” 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 “drama,” but the specific details of what happened (a ban, a break, etc.) aren’t fully clear from the search snippets, though a YouTube video suggests a reconciliation or a resolution after the “drama”. The name also sounds like it could relate to the medical soap opera Doctors, but that show was canceled in 2024, not by an “Ed Hope” character.
Here’s a breakdown of possibilities:
- Online Creator: A YouTube video titled “Making Up With Dr. Ed Hope Sick Notes After Our Drama” 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.
- Fictional Character: While it sounds like a character name, the major medical drama Doctors ended, so it’s likely not a current, major plotline from that show, notes Deadline.
To find out exactly what happened, you might need to search for “Dr. Ed Hope Sick Notes drama” or look for their social media (Twitch, YouTube) to see recent posts.
The video. “SUSPENDED” as a DOCTOR – 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 → Reflect → Respond → Continue → Check In) both partners get the space to share openly, process privately, and hopefully connect through communication.
The post China’s 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 CNBC’s ‘The Exchange,’ underscores a critical competitive dynamic and raises pressing questions […]
The post China’s 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. CNBC’s Seema Mody reported on the breaking news, detailing how Oracle’s direct communication aimed to stabilize investor confidence, emphasizing that all […]
The post Oracle Reaffirms OpenAI Partnership Amidst Market Jitters appeared first on StartupHub.ai.
The post Tim Seymour: Investors should not ‘run out the door’ on AI stocks yet appeared first on StartupHub.ai.
Seymour’s core argument posits that the recent dip in AI-related tech stocks, while perhaps “painful” in the short term, is a natural consequence of a significant run-up and a desirable market rotation. He highlighted the “massive move” seen in semiconductors and related AI plays, noting that many of these stocks have been at all-time highs. […]
The post Tim Seymour: Investors should not ‘run out the door’ on AI stocks yet appeared first on StartupHub.ai.
The post Oracle’s Data Center Delay Ignites AI Market Jitters appeared first on StartupHub.ai.
“Anything that calls into question the pace of the buildout or the return on the investment is going to make this market skittish,” remarked Scott Wapner of CNBC, succinctly capturing the prevailing sentiment as news broke of Oracle’s delayed data center rollout for OpenAI. The Investment Committee, comprising Steve Weiss, Brenda Vingiello, and Jim Lebenthal, […]
The post Oracle’s 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.
“We 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 that’s going to allow us to maintain the lead.” This stark assessment by Senator Dave McCormick encapsulates the urgency driving the […]
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 — 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 — something that was previously difficult and resource-heavy to achieve.
The big picture. Google has been rapidly expanding PMax’s creative pipeline — from social video imports to this new Merchant Center integration — 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.
Intel’s “thrilled” that people are “pumped” 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 “thrilled” that the user is “pumped” about its ARC B770 graphics card. The problem […]
The post Big Battlemage incoming? – 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 CNBC’s ‘Money Movers,’ TechCheck Anchor Deirdre Bosa reported on President Trump’s executive order concerning artificial intelligence, engaging in […]
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 […]
The post Agile Is Dead for AI: A New Operating Model for Software Development appeared first on StartupHub.ai.
We’re bringing Gemini’s 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 “in stock” 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 Intel’s upcoming Core Ultra 9 290K PLUS and Core Ultra 7 270K PLUS CPUs. Both […]
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 […]
The post Oracle-OpenAI Data Center Delays Signal AI Infrastructure Bottlenecks appeared first on StartupHub.ai.
The post Trump’s 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. […]
The post Trump’s 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 – Nik Pash, Cline appeared first on StartupHub.ai.
“Most of what’s written about AI agents sounds great in theory — until you try to make them work in production.” 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 […]
The post Hard Won Lessons from Building Effective AI Coding Agents – Nik Pash, Cline appeared first on StartupHub.ai.

After more than 15 years in enterprise SEO across six major corporations, I’ve seen more careers derailed by internal politics than by Google updates.
Many SEOs moving from agency to in-house assume that staying current with algorithms and improving rankings will be enough.
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 – all carrying equal weight with technical skill.
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.
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.
Job boards like LinkedIn can be research tools.
When you find a role that fits, look for someone inside the company who can refer you – internal referrals dramatically increase your chances of an interview.
If you’re early in your career, build relationships long before you need them.
Find mentors through ADPList, attend local meetups, and join SEO and AI workshops or virtual conferences.
These touchpoints often matter more than submitting formal applications. In today’s market, your network is your application.
You’re an SEO – use the same skills you apply to websites on your own professional presence.
Start by choosing two “primary keywords” for your career: a job title and an industry.
If you already have experience in a specific vertical, lean into it.
If you don’t, 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.
Keep unrelated hobbies off your profile unless they support the roles you want.
If you wouldn’t include “yoga enthusiast” on a landing page targeting enterprise SaaS buyers, it shouldn’t 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. That’s 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 – resume, LinkedIn, portfolio, GitHub if relevant, personal site – align.
Recruiters and hiring managers will check multiple sources.
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.
One page is ideal unless you have 10+ years of experience or leadership roles that warrant a second page.
Lead with outcomes instead of responsibilities:
Use action verbs that convey ownership – led, optimized, increased, launched – and tailor each bullet to the role you’re applying for.
Hiring managers want to see how your experience connects to their specific challenges, whether that’s:
List the tools that matter for enterprise SEO, but keep the list purposeful.
A handful of relevant platforms – Google Search Console, Screaming Frog, Semrush, Botify, BrightEdge – 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 – that you understand SEO’s 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.
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.
Search isn’t just algorithms or rankings – it’s the intersection of people, technology, and business.
You don’t need to master every discipline, but you do need to understand how they influence one another:
For instance:
You move from executor to strategist when you connect these pillars. That’s when SEO becomes more than optimization – it becomes influence.
Dig deeper: Enterprise SEO is built to bleed – Here’s how to build it right
A career isn’t shaped only by what you know – it’s shaped by how you grow.
In corporate SEO, growth comes from navigating people, priorities, and pace as much as mastering algorithms.
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.
After a few years in the same company, it’s easy to get typecast as “the SEO person” instead of a strategic partner.
Organizations anchor you to the role they hired you for, even as your skills expand.
Moving every one to three years exposes you to new leadership styles, challenges, and technologies – all of which sharpen your instincts and broaden your range.
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.
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.
It reveals what drives decisions, who holds influence, and where priorities truly sit.
For SEOs, understanding the room before jumping in often leads to sharper, more relevant recommendations – and they’re harder for stakeholders to dismiss because you’re grounding them in what the team already values.
The opposite of constant talking isn’t silence – it’s strategy.
Knowing when to speak is an underrated professional skill, especially in large organizations where timing and tone matter as much as insight.
A well-placed comment that bridges teams, clarifies a decision, or protects performance can shift the entire conversation.
Speak with intention, not frequency, and your influence will grow even when your airtime doesn’t.
Results only matter if the right people see them.
Many SEOs assume that hard work will naturally lead to recognition, but visibility is a skill.
Frame your wins in terms leaders care about – revenue impact, efficiency gains, customer experience improvements.
Bring them to leadership reviews, all-hands meetings, and retrospectives so others understand how SEO supports bigger goals.
Build relationships with people who can advocate for you when opportunities arise. Influence isn’t just about execution – it’s about making your impact legible and memorable.
Keep a running log of your work, conversations, and metrics.
I block time every Friday to summarize the week across three areas: meeting outcomes, task updates, and wins.
Some managers want these updates – others don’t.
Either way, they help you track progress and build a record you can reference later.
Tools can help – I’ve used GitHub Issues, simple .txt files, and, more recently, a Chat Agent that compiles my notes into summaries.
These logs save hours when someone asks about a past decision or when you’re updating your resume for a job search.
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.
The most effective SEOs protect time for analysis, writing, and strategic thinking – the work that actually moves projects forward.
Block dedicated focus time, decline meetings where your presence isn’t essential, and suggest asynchronous updates when appropriate.
Protecting your time isn’t selfish. It prevents burnout and keeps you delivering work that matters.
It’s natural to reference past employers, but constant comparison can make you seem resistant to new ideas or unaware of context.
Every organization has its own culture, pace, and priorities.
Share relevant frameworks when they help, but adapt to the environment you’re in.
Your credibility grows when you focus on what works here – 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.
In enterprise environments, success depends on engineers who make optimizations possible, analysts who surface insights, and product managers who balance priorities.
Navigating these relationships requires empathy, patience, and strategy.
Often, your ability to guide discussions, document decisions, and build trust matters more than technical skill.
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.
Many of my biggest wins happened when I helped stakeholders arrive at the solution themselves.
When people believe they’ve discovered the path forward, they take greater ownership and champion the outcome.
This is especially powerful in SEO, where teams may be hesitant to adopt recommendations.
Asking questions shifts conversations from resistance to curiosity and reframes SEO as a shared opportunity instead of an external directive.
Influence grows when collaboration feels like discovery, not pressure.
In large organizations, memory fades quickly.
Document ideas, decisions, experiments, and notable conversations so you have a clear record when questions resurface months later.
Documentation turns “I think” into “I know,” strengthening your credibility and protecting your work.
Whether you keep notes in shared documents, project tools, or automation-assisted summaries, the goal is the same – create a defensible trail of how decisions were made and what impact followed.
When leadership asks about traffic shifts or delayed recommendations, your written history becomes both insight and insurance.
Collaboration matters, but discernment protects your momentum.
Not everyone who agrees in a meeting is invested in follow-through.
Politics, shifting priorities, or competing metrics often influence behavior more than logic.
Learn who reliably delivers and who disappears when accountability is needed.
For SEOs, true allies in engineering, product, or analytics can make or break execution.
Align with those who follow through and stay cautious around those who view SEO as competition.
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.
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.
Treat them as equals who share ownership of outcomes. Involve them early, respect their constraints, and acknowledge their contributions.
When partners feel valued, they become advocates – raising SEO needs in rooms you may not be in.
The strongest SEO wins aren’t 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 – it requires balance, boundaries, and emotional resilience.
Constant algorithm changes, shifting priorities, and cross-team dependencies can drain you if you don’t protect your energy.
Mental well-being isn’t a luxury – it’s a strategy for longevity.
When you manage your mindset with the same discipline you apply to a site audit, you gain clarity, patience, and perspective – all qualities that make you more effective.
Early in my career, I worried rankings would collapse the moment I took time off.
They never did – but my judgment did when exhaustion set in.
Burnout distorts perspective, makes you reactive to data, and limits strategic thinking.
Rest isn’t indulgence, it’s maintenance.
Search is a long game measured in quarters, not days.
A week offline is recoverable. Burnout is not.
Protect your energy with the same discipline you protect a site’s uptime.
Much of SEO happens behind the scenes, and visibility doesn’t always follow impact. When someone praises your work, save it.
Short notes from peers, partners, or managers become valuable artifacts during promotion cycles or job searches.
Collecting this feedback isn’t about ego – it’s about building equity and giving yourself a factual record of how you support the business.
Every team has someone whose burnout becomes contagious. Don’t become that person.
Positivity doesn’t mean ignoring problems – it means creating space for solutions.
I once put a direct report on a performance improvement plan after his frustration began affecting morale.
After delivering the notice, I took him to lunch for an honest, empathetic conversation. That moment shifted everything.
His attitude improved, he worked his way off the PIP, and he later became a director at another company.
Compassion doesn’t 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.
Priorities change without warning. Build a cushion into your timelines. If you think something will take a week, plan for 10 days.
For SEOs, many delays sit outside your control – engineering queues, content operations bottlenecks, competing releases.
A buffer protects your credibility and keeps expectations grounded. Underpromise and overdeliver isn’t cliché – it’s survival.
Leadership skepticism about SEO is rarely personal. It’s usually about budgets, bandwidth, or competing bets.
Early in my career, I saw every pushback as a critique of my competence.
Over time, I learned it was part of the negotiation process.
When an initiative is deprioritized, it doesn’t mean your expertise has lost value – it means resources moved elsewhere.
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.
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.
When disagreements arise, document your position, present the data clearly, and move on.
Rising above gossip doesn’t mean disengagement – it means choosing professionalism over noise.
SEO isn’t emergency medicine, though corporate urgency can make it feel that way.
Most “crises” come from impatience with the slow, cumulative nature of search. Daily fluctuations rarely matter when the trendline is healthy.
Remind stakeholders – and yourself – that meaningful growth takes time.
When pressure for overnight results rises, stay grounded. The long game always wins.
Work can challenge and fulfill you, but it shouldn’t define you.
The most effective professionals invest in relationships and interests outside the company.
Detaching your identity from your job doesn’t weaken your ambition – it stabilizes it.
When your sense of worth isn’t tied to the next quarterly metric, you lead with more confidence and less fear.
Success becomes sustainable when life stays bigger than work.
Dig deeper: SEO’s future isn’t content. It’s governance
Fifteen years in corporate SEO have taught me that technical skill is only half the job.
The other half is navigating people, priorities, and perspective.
Algorithms will evolve, tools will change, and org charts will shift, but your ability to adapt, communicate, and lead determines how far you go.
Success in SEO isn’t about chasing every update or proving you’re the smartest person in the room.
It’s about building trust, creating clarity, and sustaining momentum through both wins and setbacks.
The most impactful SEOs aren’t just tacticians.
They’re translators, connecting data to business strategy, ideas to execution, and people to purpose.
When you recognize that your influence extends beyond rankings, you move from contributor to catalyst.
SEO may begin with optimization, but the real work is shaping how organizations think, act, and grow. That’s the craft worth mastering.
Control Resonant is coming to PC and consoles in 2026 Remedy has just unveiled Control Resonant, their upcoming sequel to 2019’s Control. The game is coming to PC and consoles in 2026, following Dylan Faden, the brother of Control’s protagonist Jessie Faden. Unlike Control, Control Resonant will be a hack-and-slash game, with Dylan Faden’s weapon […]
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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 – 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 […]
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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.
The post NeuroDiscoveryBench Sets New Standard for Neuroscience AI Benchmarks appeared first on StartupHub.ai.
The post ‘Chip War’ author Chris Miller on the battle of AI chip export controls appeared first on StartupHub.ai.
“We have to be very careful when deciding which countries and which companies we sell these to.” This statement by Chris Miller, author of “Chip War,” encapsulates the high-stakes debate surrounding the export of advanced artificial intelligence chips. Miller spoke with CNBC’s Squawk Box about the intricate relationship between national security, industry profitability, and the […]
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The post Disney’s AI Foray: A Market Leader Move or a Copyright Minefield? appeared first on StartupHub.ai.
Disney’s 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 […]
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The post Fernandez: We’ve seen a lot of rethinking recently around the AI trade appeared first on StartupHub.ai.
Fernandez observed “a lot of moments of doubt” surrounding the AI theme, a sentiment that has been building over recent weeks. This isn’t 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 […]
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For the past two years, we’ve been living in AI’s gold rush era. To borrow from Taylor Swift, think of it as the “Lover” phase where everything is shiny, new, and full of possibility.
But we’re entering a new era now. Call it the “Reputation” phase, which is darker, edgier, and entirely focused on receipts.
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.
We’re maturing. The AI gold rush era is coming to an end. Microsoft’s recalibration is one of many signals of this shift being felt broadly across the market, as we enter AI’s Production Phase era.
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 don’t 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.
Nearly 40% of U.S. consumers have tried generative AI, but only half use it regularly, according to eMarketer. Platform loyalty is fluid. ChatGPT’s 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. We’ve 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 can’t deliver enterprise ROI because they’re trapped in silos.
The signals exist, as does the technology.
What’s missing is the coordination. And the pressure to fix this is mounting, with 86% of CEOs expecting AI ROI within three years (eMarketer).
Flashy pilots aren’t enough anymore. The orchestration gap is now a revenue risk.
Most leaders still confuse automation with orchestration.
Automation is rigid: “If X happens, do Y.” Orchestration is adaptive: “Achieve goal Z using the best available tools and conditions.”
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.
I’d 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.
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.
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 isn’t solving the coordination problem fast enough. So marketing leaders are building it themselves.
This mirrors what’s happening in AI platforms. Google’s Gemini is surging thanks to deep integrations across search, browser, and mobile OS. Advantages OpenAI can’t match. The lesson for marketers is that integration wins.
Don’t 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 can’t 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.

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 – 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 – a compressed web of relationships, sources, and signals – and then builds an answer. In shopping, an LLM’s 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 – spanning deals, reviews, comparisons, and product recommendations – the distribution was far from neutral:
This cluster shapes much of the commercial “knowledge” 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 – and LLMs mirror that behavior. Even prompts that included “Black Friday” 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. Today’s 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 model’s 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 site’s 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 brand’s 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 responses—but only when off-page content and data justify the brand’s 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 – 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 don’t just answer differently – 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 – about 9.7 on average – 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 platform’s internal logic – not in broad strokes.
The data points to a clear direction: AI search is becoming its own ecosystem – 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 isn’t 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 communicate—not just on their own domains, but across the entire digital discovery surface.
OpenAI’s recent Shopping Research announcement further raises the stakes. Through ChatGPT, OpenAI is now capturing real-time consumer research behavior – preferences for price, color, variants, availability, and more – to build what is essentially a user-trained targeting engine for commerce.

This isn’t just AI learning about your product. It’s 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 isn’t present, structured, or referenced in these systems, it won’t show up in the AI’s answers – or in the consumer’s 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 demand—how they reason, reference, and prioritize across a fragmented content landscape.
The answers they generated were structured, confident, and increasingly influential, yet incomplete – shaped more by the sources they see most often than by the full depth of what brands offer.
What we’re witnessing isn’t just a new search interface. It’s the emergence of a new shopping architecture – one where agentic commerce replaces traditional browsing, and AI models, not consumers, drive product discovery, comparison, and even transaction.
OpenAI’s launch of Shopping Research makes this shift unmistakable. These models are no longer just language tools; they’re intent engines, trained not only on product data but on how people actually shop. Price sensitivity, variant preferences, real-time availability – 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 – a discipline built to ensure brands aren’t 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 won’t be won by who ranks, but by who is represented – accurately, contextually, and everywhere AI shows up.
Larain Studio’s next game will be bigger than Baldur’s 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 company’s “biggest game ever”. For those who are unaware, Larain Studios is the game developer behind Baldur’s Gate 3, […]
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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 ASUS’ 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, […]
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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. Eyeé, CEO of Malo Santo, a firm specializing in scaling AI […]
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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 doesn’t just win in the moment – it sparks curiosity, drives searches, and fuels conversions.
That’s why the “Breaking TV Ads Report,” jointly launched by Kinetiq and DAIVID, deserves a spot on every search marketer’s radar.
The monthly report ranks the top-performing new TV ads in the U.S., blending Kinetiq’s real-time TV ad detection with DAIVID’s AI-driven creative analytics to uncover which ads broke through, why they resonated, and what brands can learn from their success.
It’s a powerful reminder that search doesn’t start on Google – 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 “Breaking TV Ads Report” highlighted a commercial that checks every emotional and strategic box: Indeed’s “What If LeBron James’ Skills Were Never Seen?”
The ad traces James’s journey from his early life to his work with the LeBron James Family Foundation, connecting it to Indeed’s “skills-first” hiring message.
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 DAIVID’s data.
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 aren’t just nice stories – they’re search triggers.
When people connect emotionally with a brand message, they’re more likely to act on it – 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 “The Zero Moment of Truth.”
But the ZMOT stage in the buying journey – when consumers research a product or service online before making a purchase – was the “new” second step.
The first step remained “stimulus,” and it could be “a TV ad.”
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.
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 – 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.
Apple’s product launches are masterclasses in cross-channel momentum.
Every time a new iPhone ad airs, search volume for terms like “iPhone 17 Pro Max” or “iPhone 17 release date” skyrockets.
Apple’s 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 – not answer them – encouraging viewers to seek out more details online.
That’s where Apple’s search-optimized landing pages, YouTube product videos, and paid search campaigns complete the journey.
Progressive’s long-running “Flo” campaign shows how consistent creative storytelling translates into search intent.
The insurance brand’s TV spots spark curiosity around characters, slogans, and offers – leading to measurable spikes in branded searches such as “Progressive car insurance” and “Flo from Progressive.”

The brand’s 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-Cola’s “Share a Coke” campaign is another classic case of TV leading to search.
The original “Share a Coke” campaign was launched in Australia in 2011 and involved replacing the Coca-Cola logo on bottles with hundreds of popular first names.
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 “Share a Coke” campaign is a global relaunch targeting Gen Z with a focus on digital experiences and authentic, in-person connections.
It features personalized cans, a digital “Memory Maker” tool for creating shareable videos, and a partnership with McDonald’s.
Consumers can find names on bottles or use a QR code to customize bottles – a creative hook that’s sent millions to Google searching “custom Coke” or “share a Coke names.”

The campaign’s success wasn’t just creative; it was data-driven.
By tracking spikes in branded search and social mentions, Coca-Cola refined its targeting and extended the campaign’s life cycle online.
Dig deeper: Hyper-personalization in PPC: Using data to deliver tailored ad experiences
What makes the new “Breaking TV Ads” report particularly valuable is its data-driven framework for measuring creative effectiveness.
Kinetiq’s 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.
DAIVID’s AI then evaluates each ad’s emotional response, attention, and brand recall, creating a creative effectiveness score (CES) – 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 – and how that resonance correlates with downstream behaviors like search and site visits.
As Kinetiq CEO Kevin Kohn put it, the partnership “gives marketers a holistic view of the TV and CTV advertising landscape – not just what aired, but why it resonated.”
That’s 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:
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 – the final step in a consumer journey. But that view is outdated.
Today’s most successful campaigns use search as a connective tissue between offline inspiration and online action.
Whether it’s 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 – search is the bridge between storytelling and sales.
As more brands invest in connected TV (CTV) and streaming, the line between “brand” and “performance” marketing will continue to blur.
Creative effectiveness data helps close that gap – showing which emotional and visual cues are most likely to drive measurable search and conversion behavior.
Ultimately, reports like “Breaking TV Ads” remind us that the most powerful search strategy begins long before the query.
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 […]
The post Total War: Warhammer 40,000 is coming, and I’m hyped appeared first on OC3D.
Email Checker is a smart, high‐accuracy email validation tool that evaluates addresses in real time (or in bulk) using syntax, domain, and mailbox verification. It flags invalid, risky, and disposable emails—helping marketers and developers reduce bounce rates, protect sender reputation, and improve deliverability. With simple API integration and transparent pricing, it’s 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 […]
The post Fate of the Old Republic is the Star Wars RPG I’ve been waiting for appeared first on OC3D.
Hogwarts Legacy is currently free on the Epic Games Store As announced at this year’s 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 “Mystery Game” will be free on […]
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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
AI Design Agent for Google Chrome
The best research agent is open for devs
Unfollow inactive, spam, or unwanted X accounts in seconds
AI agent that helps, solves, and closes. All day, every day
Add watermark to desktop
Production Agents in Google Cloud in Minutes
Organize, share, and distribute your software binaries
Edit web apps visually in the Cursor Browser
A text Expander for Mac - type 3 keys, expand 300 words
Chat → Song → Music Video → Publish
AI-built project boards powered by your productivity stack
What if every book was a unique website?
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.
The post LLM Agent Reinforcement Learning Gets Practical appeared first on StartupHub.ai.
The post Salesforce Agentic AI Redefines Customer Interaction appeared first on StartupHub.ai.
Salesforce Agentic AI redefines customer experience by anticipating intent, moving beyond reactive personalization to deliver proactive, conversational interactions.
The post Salesforce Agentic AI Redefines Customer Interaction appeared first on StartupHub.ai.
The post Agentic AI Financial Services: The Action Era Arrives appeared first on StartupHub.ai.
Agentic AI is poised to transform financial services by 2026, enabling autonomous systems to execute complex workflows and protect assets.
The post Agentic AI Financial Services: The Action Era Arrives appeared first on StartupHub.ai.
Quantum computing holds the potential to solve some of the world's most complex challenges. Today, we’re announcing a new collaboration with the UK National Quantum Comp… REDR is a secure and affordable link shortening service designed for students, professionals in media, and developers. This platform allows users to create shortened URLs quickly and easily, enhancing link sharing and management. REDR.io emphasizes security and privacy, making it a reliable choice for those who need to share links while maintaining data protection
We make it easy and secure to transform those long, ugly URLs, into short and memorable links, that can be used for a variety of purposes. REDR.io also offers features like password protected URLs, whitelisted and auto expiring URLs. Protect your links today at https://redr.io/

The post Salesforce Agentforce Metrics Evolve for AI Service Insight appeared first on StartupHub.ai.
Salesforce is refining its Agentforce metrics to gain deeper insights into AI-driven customer service performance and customer intent.
The post Salesforce Agentforce Metrics Evolve for AI Service Insight appeared first on StartupHub.ai.
The post Gemini Deep Research Unlocks Advanced AI for Devs appeared first on StartupHub.ai.
Google has released a significantly more powerful Gemini Deep Research agent, now accessible to developers via the new Interactions API.
The post Gemini Deep Research Unlocks Advanced AI for Devs appeared first on StartupHub.ai.
The post Google Beam AI Redefines Remote Presence appeared first on StartupHub.ai.
Google Beam AI is transforming remote communication with true-to-life 3D video, driven by advanced AI and strategic industry partnerships.
The post Google Beam AI Redefines Remote Presence appeared first on StartupHub.ai.
The post Google AI Art Collaborations: A Decade of Creative Evolution appeared first on StartupHub.ai.
Google's Gradient Canvas exhibition showcases a decade of Google AI art collaborations, demonstrating AI's evolving role as a creative partner.
The post Google AI Art Collaborations: A Decade of Creative Evolution appeared first on StartupHub.ai.
The post OpenAI’s GPT-5.2 Redefines Frontier Models with Unprecedented Gains appeared first on StartupHub.ai.
OpenAI’s latest release, GPT-5.2, marks a pivotal moment in artificial intelligence, delivering substantial advancements across a spectrum of benchmarks and real-world applications. As commentator Matthew Berman highlighted, this new iteration is an “incredible model” and a “significant upgrade over 5.1,” pushing the boundaries of what large language models can achieve in reasoning, efficiency, and practical […]
The post OpenAI’s GPT-5.2 Redefines Frontier Models with Unprecedented Gains appeared first on StartupHub.ai.
Ada is an AI assistant that lives inside your existing email client. It automatically sorts your inbox by priority, filters out newsletters and spam, and drafts replies that match your tone and writing style — all without asking you to switch apps or learn anything new.
You keep using Gmail, Outlook, or Apple Mail as usual, while Ada works quietly in the background. The result is a cleaner, calmer inbox where important messages surface first and routine responses take care of themselves. Nothing to install.
The post Claude’s Connector Revolution: Bridging AI and Enterprise Workflows appeared first on StartupHub.ai.
Claude.ai’s latest advancement, the integration of “connectors,” fundamentally redefines how artificial intelligence can serve as a truly capable productivity partner within an organization’s existing digital ecosystem. As the product demonstration video, “Getting started with connectors in Claude.ai,” illustrates, this feature allows users to “connect the tools you already use to unlock a smarter, more capable […]
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The post OpenAI’s Decade of Unprecedented AI Transformation appeared first on StartupHub.ai.
Ten years ago, the very notion of artificial intelligence distinguishing a cat from a dog was a formidable challenge, a benchmark for nascent machine learning capabilities. Today, the landscape is utterly transformed, and at the heart of this seismic shift stands OpenAI, whose retrospective video, “10 years.”, chronicles a decade of relentless pursuit, profound breakthroughs, […]
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The post AI Market Correction is Normal, Opportunity Underestimated, Says Citi’s Heath Terry appeared first on StartupHub.ai.
“There’s never been anything like this… this is uncharted territory,” declared Heath Terry, Citi’s Global Head of Technology and Communications Research, reflecting on the unprecedented scale and influence of artificial intelligence. His remarks, made during a recent appearance on CNBC’s “Closing Bell Overtime” with John Fortt and Sarah Eisen, offered a nuanced perspective on the […]
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The post Can you prove AI ROI in Software Engineering? (120k Devs Study) – Yegor Denisov-Blanch, Stanford appeared first on StartupHub.ai.
The Quest for Measurable AI ROI in Software Engineering “Can you prove AI ROI in Software Engineering?” This question, posed by Yegor Denisov-Blanch, a researcher from Stanford, cuts to the heart of a critical challenge facing enterprises today. As companies pour millions into AI tools for software development, the ability to demonstrate tangible returns on […]
The post Can you prove AI ROI in Software Engineering? (120k Devs Study) – Yegor Denisov-Blanch, Stanford appeared first on StartupHub.ai.
The post The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo appeared first on StartupHub.ai.
The promise of AI-generated code is effortless development and unprecedented speed, yet the reality, as articulated by Itamar Friedman, CEO and co-founder of Qodo, is a burgeoning “quality crisis” demanding rigorous attention. Friedman delivered a compelling presentation at the AI Engineer Code Summit, delving into the critical distinction between the hype surrounding AI code generation […]
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The post OpenAI’s GPT-5.2 Unveiling: Altman’s Enterprise Gambit and Revenue Confidence appeared first on StartupHub.ai.
The latest developments from OpenAI signal a clear strategic pivot and an assertive stance in the escalating AI arms race. On CNBC’s “Closing Bell,” reporter MacKenzie Sigalos provided insights into an exclusive interview with OpenAI CEO Sam Altman, where discussions centered on the rollout of GPT-5.2, the company’s intensified enterprise focus, and Altman’s robust confidence […]
The post OpenAI’s GPT-5.2 Unveiling: Altman’s Enterprise Gambit and Revenue Confidence appeared first on StartupHub.ai.
The post AI Market Peak Far Off as Key Players Remain Private, Says Deepwater’s Munster appeared first on StartupHub.ai.
The prevailing sentiment among tech insiders and investors often oscillates between fervent optimism and cautious apprehension, especially concerning a transformative force like artificial intelligence. Yet, as Deepwater Asset Management’s Managing Partner Gene Munster recently articulated on CNBC’s “Closing Bell,” the peak of the current AI market cycle remains distant, predicated significantly on the future public […]
The post AI Market Peak Far Off as Key Players Remain Private, Says Deepwater’s Munster appeared first on StartupHub.ai.
The post OpenAI’s Decade Defining AI’s Future appeared first on StartupHub.ai.
Ten years ago, the landscape of artificial intelligence was a nascent frontier, grappling with challenges as fundamental as differentiating between a dog and a cat in an image. Yet, beneath this seemingly rudimentary state, a profound belief in the transformative potential of deep learning was taking root, a conviction that would propel a small group […]
The post OpenAI’s Decade Defining AI’s Future appeared first on StartupHub.ai.
Gradient Canvas is a new art exhibition celebrating a decade of creative collaborations between artists and artificial intelligence. Meta says that its switch to Community Notes is working.
The integration will enable Pinterest marketers to reach more people via TV like ad campaigns.

Search Engine Land turns 19 today.
Nineteen years. Almost two decades of analyzing, explaining, questioning, challenging, obsessing over, and occasionally shaking our heads at whatever Google and the search industry throw our way.
And this past year? The pace of change has made it one of the most transformative since we launched in 2006.
Through all of it, our mission is the same as Day 1: help you make sense of search with clear news, smart analysis, and practical guidance.
Before we look ahead, I want to say thank you — and take a moment to reflect on the past year at Search Engine Land.
Seriously, thank you.
Every day, we start with you: what you need to know, what actually matters, and what changes could shape your work today or your strategy six months from now.
We aim to:
If you haven’t yet, subscribe to our daily newsletter for a curated wrap-up of everything happening in search. It’s still the easiest way to stay informed without feeling overwhelmed.
Search Engine Land has always punched above its weight for one reason: the people.
A small team can do big, meaningful work when everyone is aligned, mission-driven, and a little obsessed with search.
A huge thank-you to:
And to the entire Third Door Media team within Semrush — thank you. Whether or not your name appears here, your work matters and is appreciated.
In a year defined by uncertainty, it was encouraging to see so many people continue to rely on Search Engine Land as a trusted community resource. And Search Engine Land had a strong 2025.
This was the standout moment of the year. Bringing SMX Advanced back in person after six years felt overdue and incredibly energizing.
Attendance exceeded expectations, sessions were packed, and hallway conversations felt like a reunion of the search marketing community. You could feel how much people missed connecting face-to-face — debating AI’s impact on search, swapping tactics, comparing notes on Google’s latest changes, and simply enjoying each other’s company.
It reaffirmed what we’ve always believed: great things happen when smart marketers share a room. We’re already looking forward to doing it again in Boston, June 3-5.
This past year brought one of the most dramatic shifts in search since Search Engine Land launched in 2006. Whatever we end up calling this emerging practice, we focused on giving the industry the clarity, context, and reporting it needed.
Readers have told us again and again that Search Engine Land is their go-to source for cutting through the noise during a confusing and often chaotic time. We’re proud that our reporting, explainers, and expert analysis are helping shape the industry’s understanding of where search is headed next.
This year brought a surge of new readers and renewed engagement from long-time practitioners. With so many shifts reshaping SEO and PPC – from AI to SERP experiments to advertiser updates – and the continued emergence of GEO, marketers turned to Search Engine Land in record numbers to stay informed.
Our contributors played a significant role in our growth. A huge thank you to all of our excellent SMEs for all the great content and insights you shared in 2025.
As we enter our 19th year, our commitment remains unchanged: provide the most trusted, useful coverage of search anywhere.
This year you can expect:
Save the dates:
There’s much more to come – and as always, our goal is to give you the insight and intelligence you need to do your best work.
On Dec. 11, 2006, Search Engine Land officially launched with a simple idea: search was becoming not just a tool, but a place. A world. A community. A discipline shaping how people find information and how businesses connect with customers.
Nineteen years later, that world has grown in ways none of us could have imagined. But the core idea still holds:
Search Engine Land is a place to stay informed, to learn, to connect, and to understand the engines driving the modern web.
On behalf of everyone at Search Engine Land and Semrush, thank you for reading, for sharing our stories, for asking hard questions, for supporting our mission, and for caring so deeply about all things search.
Here’s to the rest of 2025 – and to a successful, healthy, and insightful 2026.
NameStorm AI helps founders, creators, and entrepreneurs instantly brainstorm unique, brand-ready names for startups, products, or ideas. No overthinking, no boring generators — just fast, creative, AI-powered naming built for visionaries who want to stand out. Whether you’re building a SaaS, launching a D2C brand, or starting your dream project, NameStorm AI gives you names that feel right — not robotic. Key Features: - Instant AI-powered ideas - Free for early users - Smart filters for brand style - Modern, founder-focused design. Use Case: Perfect for startup founders, solopreneurs, indie makers & creators who want to build brands that turn heads. Pricing: Free.
The post Shared Context: The New Frontier for Intelligent Agent Systems appeared first on StartupHub.ai.
The true promise of artificial intelligence lies not in isolated, brilliant agents, but in their collective intelligence, a synergy unlocked by sophisticated context systems. This fundamental shift in AI architecture was the focus of a recent discussion between Aja Hammerly and Jason Davenport on Google Cloud Tech’s “Real Terms for AI” series. Hammerly and Davenport […]
The post Shared Context: The New Frontier for Intelligent Agent Systems appeared first on StartupHub.ai.
The post Disney’s OpenAI Investment Signals a Strategic Embrace of AI’s Creative Future appeared first on StartupHub.ai.
“No question AI will displace a lot of content creators,” stated James Stewart, author of “The Disney War” and a CNBC contributor, during a discussion on CNBC’s “The Exchange” regarding Disney’s significant $1 billion investment in OpenAI. This investment, announced as a partnership that aims to protect intellectual property, highlights a proactive approach by a […]
The post Disney’s OpenAI Investment Signals a Strategic Embrace of AI’s Creative Future appeared first on StartupHub.ai.
The post OpenAI’s GPT-5.2: A Leap in Professional AI Capabilities appeared first on StartupHub.ai.
“We have a new model that is significantly stronger than anything that we’ve released before. It’s better at creating spreadsheets, building presentations, perceiving images, writing code, and understanding long context.” This declaration from MacKenzie Sigalos of CNBC, reporting on OpenAI’s latest announcement, sets the stage for a significant advancement in AI technology. The unveiling of […]
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The post AI Race Redefines Battleground: Beyond Model Superiority appeared first on StartupHub.ai.
The current debate on CNBC’s “The Exchange” underscored a critical evolution in the artificial intelligence landscape, moving beyond mere model superiority to a multifaceted competition centered on strategic market focus, distribution channels, and computational power. This shift signals a maturing industry where raw algorithmic prowess, while essential, is increasingly just one component of a winning […]
The post AI Race Redefines Battleground: Beyond Model Superiority appeared first on StartupHub.ai.
Google Beam, our first true-to-life 3D video communication platform, made great progress in 2025. Could the Twitter bird fly again?
A raft of new WhatsApp updates for the holidays.
TikTok's looking to draw in more live content viewers.
The first video features Usher talking to his teen sons.
More ways to identify and action creator partnerships across Facebook and IG.
Google has released the December 2025 core update, its third of the year. The rollout began December 11 and may take up to three weeks.
The post Google Releases December 2025 Core Update appeared first on Search Engine Journal.
The post Disney bets $1 billion on OpenAI’s Sora as Altman shrugs off Gemini threat appeared first on StartupHub.ai.
“We are very focused on having the cheapest cost per token at the highest level of intelligence.” This declaration by OpenAI CEO Sam Altman, as reported by CNBC’s MacKenzie Sigalos, encapsulates the company’s strategic pivot from broad consumer appeal to a more targeted, performance-driven approach in the escalating AI arms race. The recent $1 billion […]
The post Disney bets $1 billion on OpenAI’s Sora as Altman shrugs off Gemini threat appeared first on StartupHub.ai.
We have reimagined Gemini Deep Research to be more powerful than ever, now accessible to developers via the new Interactions API.
Google’s Interactions API is a unified interface for interacting with Gemini models and agents.
Demand Gen can help you reach new audiences while they're streaming, scrolling or shopping. On average, 68% of Demand Gen conversions came from users who did not see the… 
Google released the December 2025 core update today, the company announced.
This is the third core update of 2025 and the fourth major Google algorithm update overall. Earlier this year, Google rolled out the August 2025 spam update, which followed the June 2025 core update and the March 2025 core update.
What Google is saying. Google updated its Search Status Dashboard to state:
Google added on LinkedIn:
About core updates. Core updates roll out several times each year. They introduce broad, significant changes to Google’s search algorithms and systems, which is why Google announces them.
Video on this core update. I made this short video a few hours after publishing this story:
What to do if you are hit. Google did not share any new guidance specific to the December 2025 core update. However, in the past, Google has offered advice on what to consider if a core update negatively impacts your site:
In short: write helpful content for people and not to rank in search engines.
For more details on Google core updates, you can read Google’s documentation.
Previous core updates. Here’s a timeline and our coverage of recent core updates:
Why we care. With any core update, we often see significant volatility in Google search results and rankings. These updates may improve visibility for your site or your clients’ sites, but some may experience fluctuations or even declines in rankings and organic traffic. We hope this update rewards your efforts and drives strong traffic and conversions.


Microsoft is now testing a Google-like redesign of search ads in Bing, grouping multiple sponsored links under a single “Sponsored results” label and adding a “Hide” button that collapses the entire ad block.
Driving the news. Sachin Patel spotted the Bing test in the wild and shared screenshots and video showing the new layout. In the test, only the first sponsored result carries an ad label, while subsequent ads appear unlabelled underneath it. Users can tap “Hide” to collapse the entire set of ads, then “Show” to reveal them again.

How it works. The structure groups ad units in a way that can blur the distinction between organic and paid content. By collapsing ad labeling into a single header, the design makes individual ads look more like regular results.
Catch up. Google rolled out a nearly identical treatment two months ago — and it’s already sparked complaints of accidental ad clicks. Barry Schwartz did a poll on X that showed 63% of responders saying they had unintentionally clicked on a Google Ads Results because of the new grouping.

Bing adopting the same pattern signals a potential industrywide shift in how search ads are labeled and displayed.
Why we care. Bing’s new grouped “Sponsored results” format could increase ad visibility — and potentially boost click-through rates — by making ads appear more blended with organic results. The addition of a “Hide” button introduces a new user-control dynamic, but the single-label grouping may also lead to more accidental clicks, similar to what advertisers have seen with Google’s recent redesign, meaning higher bounce rates.
If Microsoft rolls this out broadly, it could meaningfully affect campaign performance, attribution and spend efficiency across Bing search.
First seen. Sachin Patel shared his view of this grouping on X.
The takeaway: If rolled out widely, Bing’s new format could drive more engagement — intentional or not — and reignite concerns about the clarity of search ad disclosures. For now, the experiment appears limited, and not everyone can replicate it.
What Microsoft are saying. Microsoft Ads Liaison Navahreached out to say that this was a test that they have opted not to continue.
“RemoveWindowsAI” could be the script that AI-hating Windows users have been waiting for Microsoft is making Windows 11 more AI-focused, and if you hate that, this script may be of interest to you. The new 25H2 build of Windows 11 adds more AI features than ever before, and the new “RemoveWindowsAI” script could rid your […]
The post This script wipes away Windows 11’s unwanted AI features appeared first on OC3D.
Corsair gives its FRAME series PC cases an upgrade with new LCD mounting kits Corsair has just released new upgrades for its FRAME 4000D (review here) and FRAME 5000D (review here) PC cases, allowing users to attach Corsair’s large XENEON EDGE 14.5-inch screen to the side of these enclosures. Additionally new version of the FRAME […]
The post Corsair upgrades its FRAME 4000D and 5000D with 14.5-inch LCD screens appeared first on OC3D.
The Prompt Lib is your personal command center for your marketing work. It helps you save, organize, and reuse your best prompts so you never have to start from scratch again.
With The Prompt Lib, you can build smart prompt templates that include fill-in-the-blank fields like {{ Topic }} or {{ Client Name }}, making it effortless to adapt one great instruction for any situation. You can also embed your own rules — such as “no emojis,” “write in three lines,” or “use a formal tone” — to make sure every AI response follows your exact standards automatically. The Prompt Lib ensures your AI outputs stay consistent, on-brand, and perfectly formatted, every single time.

Search Engine Land is expanding its contributor roster in 2026 – and we’re looking for seasoned experts in SEO, PPC, AI, and analytics to join us.
Why we care. Search Engine Land is not just our publication – it’s yours. For 20 years, Search Engine Land has been the go-to source for search marketing insights, reaching more than 1 million professionals every month. We’re growing again and want to amplify a trusted and diverse set of voices across the industry – whether you’ve been doing it for 5 years or you’re old enough to remember the Google Florida update or when Google Ads was still called AdWords.
The details. We’re seeking contributors with 5+ years of hands-on experience in their field who can share actionable insights and thought leadership on the latest in:
This is a volunteer contributor opportunity. But the perks are real. You can:
How to apply. Interested? Fill out this form to be considered. If selected, our team will contact you directly via email. We will close the form Dec. 19.

We’ve established the AI resume as the new C-suite-level asset that defines your brand at the bottom of the funnel, and we’ve mapped the strategic landscape that shows how it operates across explicit, implicit, and ambient research modes.
So, how do you build this asset to thrive in a three-part environment?
The answer is shifting from ranking in search results to the discipline of brand-focused algorithmic education – a multi-speed strategy aligned with the trio of technologies powering all modern recommendation engines.
The digital marketing ecosystem has been reshaped by AI assistive engines – platforms like Google AI, ChatGPT, and Microsoft Copilot that no longer provide links but deliver synthesized, conversational answers.
Understanding how to influence these engines is the new frontier of our industry.
Conversations I had in 2020 with Gary Illyes at Google and with Frédéric Dubut, Nathan Chalmers, and Fabrice Canel at Bing revealed that these engines – and, by extension, modern AI – all rely on the same three foundational technologies.
I call this the algorithmic trinity. Mastering it is the key to your future success.
Stop thinking of Google or ChatGPT as monolithic black boxes.
See them instead as dynamic blends of three connected technologies.
Every AI assistive engine is built from a unique mix of these components.
This is the foundation – the vast, real-time index of the web.
It provides the fresh, up-to-the-minute information AI needs to answer questions about current events or niche topics. It is the engine’s window to the “here and now.”
This is the AI’s brain – a machine-readable encyclopedia of verified facts about the world.
Google’s Knowledge Graph is at least 10,000 times bigger than Wikipedia.
This is where your brand’s core identity is stored. It provides the factual certainty and context AI needs to avoid hallucinating.
This is the AI’s voice – the conversational interface that generates human-like text.
The LLM synthesizes information from the search index and the knowledge graph to create the final answer delivered to the user.
Each part of the algorithmic trinity learns and updates at a different speed, which means your optimization strategy must be layered.
Short-term tactics and long-term goals need to align with the technical “digestion speed” of each component.
Influencing traditional search results is your fastest path to visibility.
By creating helpful, valuable content and packaging it for Google with simple SEO techniques, you can begin appearing in AI-powered search results within weeks.
While it doesn’t build deep trust, it puts your brand into the real-time consideration set that AI assistive engines use to construct answers for niche or time-sensitive queries.
Think of it as getting your daily talking points and hyper-niche answers into the conversation.
Educating the Knowledge Graph is how you build your permanent, factual record, a process that typically takes three to six months.
It requires establishing your entity home – the definitive source of truth about you – and creating consistent, corroborating information across your digital footprint.
When Google’s foundational understanding of me was wrong (“the voice of Boowa the Blue Dog”), it cost me countless opportunities.
This is the work that corrects those errors.
The ultimate goal is inclusion in an LLM’s foundational training data.
This is a long game, often nine months to a year or more.
It means your brand’s narrative, expertise, and authority have been so consistently present across the web that you’re incorporated into the next major training cycle.
Once you’re part of that foundational knowledge, the AI doesn’t need to “look you up.” It already knows you.
This is the holy grail of algorithmic authority.
Whether you are aiming for a short-term win in a search result or a long-term legacy in an LLM, the underlying requirement is the same. The algorithm is always asking three questions:
This is why your strategy must be built on the bedrock of entity SEO, N-E-E-A-T-T – my expansion of Google’s E-E-A-T framework that adds notability and transparency – and grounded in topical authority.
Every signal you create across your digital ecosystem must work to answer those three questions with overwhelming clarity and proof.
The game is already evolving. AI is moving beyond simply answering questions to acting on our behalf.
I saw this firsthand when I used ChatGPT to help me buy guitar pedals.
Within 15 minutes, it took me from awareness to a confident decision and a final purchase. It acted as my personal shopping assistant.
This is the future of AI assistive agents.
Soon, agents will autonomously book flights, schedule appointments, and purchase products.
For an agent to execute a task on your behalf, its algorithmic confidence in a brand cannot be probabilistic – it must be absolute.
The brand that has built the deepest foundation of understanding and credibility within the algorithmic trinity will be the one the agent chooses.
In this new era, as the legendary football manager Peter Reid memorably put it, “to stand still is to move backwards.”
Your digital strategy must evolve. Stop chasing blue links and start the work of brand-focused algorithmic education.
The key is understanding that the traditional web index is the fuel that feeds all three components of the algorithmic trinity.
Your entire digital footprint must be organized to be frictionless for bots to discover, select, crawl, and render, digestible for them to confidently extract, index, and annotate, and irresistibly tasty for the algorithms that follow.
Importantly, the algorithm evaluates N-E-E-A-T-T on three levels:
This brings us to the most critical part of the process.
You must understand the bot’s seven fundamental steps – discover, select, crawl, render, extract, index, and annotate – because this is the only path into the web index and the only way to reach the top of the pile for the algorithmic trinity.
As I learned from my conversations with Bing’s Canel, the annotation phase is essential.
Algorithms do not select content by re-reading the content itself. They select it by reading the annotations – the “post-its” the bot created.
They prioritize those annotations based on two factors:
This is why the “digestible” and “tasty” parts of the strategy are non-negotiable.
To thrive in the explicit, implicit, and ambient landscape, you must execute this holistic strategy and become the trusted, top-of-algorithmic-mind answer.
The AI resume – especially one that holds up to a deep “rabbit hole” of explicit research – is not the goal. It is a byproduct of doing the work correctly.
The brands that succeed will be those that treat algorithms as powerful entities to be taught through a methodical curriculum.
Start building that curriculum today, because the AI assistive agents of tomorrow are already studying.
Capcom plans three major PC optimisation updates for Monster Hunter Wilds Capcom have confirmed that they have three major PC updates planned for Monster Hunter Wilds’ PC version, all of which aim to optimise the game and improve its stability and performance. The first of these updates will arrive on December 16th as part of […]
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