I asked ChatGPT and Gemini to invent a new winter holiday β hereβs what they came up with
The post FINNY AI platform for advisors raises $17M Series A appeared first on StartupHub.ai.
FINNY, an AI platform automating lead generation for financial advisors, secured $17 million in Series A funding to scale its proprietary data intelligence engine.
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PostEverywhere is an AI-powered social media management platform that helps creators, founders, brands, and agencies streamline content creation and scheduling across multiple platforms. With intelligent scheduling, automated publishing, and a simple, user-friendly interface, PostEverywhere makes it easy to plan, post, and grow your online presence - all in one place. Start your free trial today. Save time, boost engagement, and manage every social channel effortlessly with AI.

Html4pdf is a fast, privacy-first PDF generation API for developers who need reliable HTML-to-PDF conversion without the complexity. Unlike traditional PDF services that require complicated setups or store your data, html4pdf keeps things simple: send HTML, get a PDF in 3-5 seconds, and your data is never stored. Built on battle-tested infrastructure, it handles everything from simple receipts to complex multi-page reports with consistent results. Pricing is straightforward and fair. No subscriptions, no surprise fees, just credits. New users get 10 free credits to try the service, with full API key management and real-time usage tracking through an intuitive dashboard.
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Neural Conceptβs physics-aware AI platform is accelerating product development for major OEMs like GM and Safran, cutting years off design cycles.
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Pinta is a simple open-source image editor aimed at basic editing tasks like cropping, resizing, drawing, and quick color adjustments. It includes support for layers, effects, and a full undo history, while keeping system requirements low.
Pulseboard gives teams a simple 20-second daily check-in that reveals early wellbeing and stress trends β without extra surveys. Team members share how they feel (Happy / Neutral / Stressed / Burned Out); leaders see anonymized patterns, not names. Designed already for Slack and Microsoft Teams, Pulseboard helps you build awareness, prevent burnout, and start better conversations.

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Marissa Mayer is back in the startup game, raising $8 million for Dazzle AI to tackle the critical challenge of making complex generative models genuinely useful for everyday consumers.
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Surgify delivers generated workout music that adapts to your intensity in real time. It learns your training style and builds endless, unique tracks that sync with your reps, from HIIT to strength and cardio. Choose genres like EDM, hip-hop, metal, or custom blends to match your vibe.
Connect your heart rate and let Surgify adjust tempo and energy automatically. Set your mode, hit play, and get instant motivation without repeats so every session stays focused and high-energy.
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ClickUp is betting on autonomous AI, acquiring code generation platform Codegen to create Super Agents capable of building software and managing projects end-to-end.
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Sakana AI's ALE-Agent won the AtCoder Heuristic Contest 058, proving that scaled AI inference can match or surpass top human performance in complex optimization.
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To secure its browser agent, ChatGPT Atlas is now relying on an automated, reinforcement learning-trained attacker to find sophisticated prompt injection exploits.
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Almost no one asked for it, but curiosity won out. We're taking a close look at Intel's Core Ultra 5 225F β a locked, budget-focused CPU that's been quietly sitting on shelves for nearly a year.

Predict crowd congestion before it happens
Improve the way you master and understand languages
Turn Youtube vides into newsletters
Fuel AI training with high-quality, scaled data via proxies
Caffeine tracking to optimize your intake
Personalized curators that surface what you care about
Start A Call is platform that allows you to make international calls from your browser in 3 clicks. No app downloads required. StartACall is the simplest way to call 195+ countries. Just open your browser, enter a number, and dial. Uses WebRTC technology for HD voice quality. Pay as you go only β’ No monthly fees. Call any mobile or landline. Setup in 60 seconds Perfect for digital nomads, remote teams, and international families. Try your first call free!
BuildDesk is a construction management platform built for SMB contractors who need real-time job costing and financial control. Unlike enterprise solutions, we offer unlimited users, integrated CRM, and live budget tracking at a flat monthly rateβhelping contractors know if projects are profitable today, not next month.
FrameworkWith costs from our suppliers continuing to increase, we've had to make a further price adjustment on DDR5 memory modules. During this period of extreme memory shortages and price volatility, our priority is to make sure you can still buy a computer when you need one. With that in mind, we're setting our memory configuration prices as close as possible to the actual purchase prices we have with our suppliers and distributors. Since we're constantly sourcing additional memory and each purchase comes in at different (and often higher) pricing, we're using the Weighted Average Cost (WAC) of inventory, which currently comes to $10/GB for 8 GB, 16 GB, and 32 GB modules, and slightly higher for 48 GB modules.
Agenta is an open-source LLMOps platform that helps teams build and ship reliable AI apps. Developers and domain experts work together to test prompts, run evaluations, and debug issues in one place.
LLMs are unpredictable, and teams often lack structure. Prompts get scattered, workflows stay siloed, and deployments happen without real validation, making debugging guesswork.
Agenta centralizes the workflow:
Experiment: Compare prompts and models and track versions. Evaluate: Run automated evaluations with LLM-as-a-judge or custom code. Observe: Trace requests, spot failures, and turn traces into tests.



Leave personal sticky notes on any website for free. Never forget important things again.
Transform the way you browse with Leafovers β your personal sticky notes companion for every website. Leafovers is a powerful yet simple Chrome extension that lets you create, organize, and manage sticky notes on any website you visit. Whether you're conducting research, shopping online, learning new skills, or just browsing the web, Leafovers helps you capture thoughts, reminders, and important information exactly where you need them.


Local AI git commit generator for Apple Silicon
Turn focus into a delightful journey with cute cat companion
Chat with your Meta Ads and ask anything about the campaigns
Summarize long Reddit threads with one click
Private AI that connects 120+ apps and your live databases
Free online screen recorder | no download required
Generate a ready-to-send pitch for journalists in seconds.
Protean Labs is dedicated to helping companies quickly and easily get started with simple cybersecurity tools. You can use our command line tool in your CI/CD pipeline to scan your code's dependencies for known vulnerabilities, and we'll stop your pipeline, preventing a release that could put your company in harm's way.
The app is made to upgrade the basic Apple Notes app into more engaging one with social aspect and note posting like in a social network. Users can invite each other and exchange notes privatley, while their notes are safley stored in their account and can be edited from multiple devices at the same time.
Additional features included are the speech-to-text typing in multiple languages. Users can set reminders for notes in the specific date and time, lock notes with face ID , pin inportant notes, use widgets for home screen display in 3 different sizes and invite friends via QR code scan. Supported Devices: iPhone & iPad
Skaler is an all-in-one AI platform built for performance marketers and creative teams. It lets you spy on competitor ads, analyze what makes them convert, and instantly create your own winning image and video ads. With Skaler, you can clone any ad from the Meta Ad Library, generate on-brand visuals or UGC-style videos with AI, and optimize creatives based on real performance data. Perfect for marketers who want to eliminate guesswork and scale ad production fast.
The Callisto Protocol is now available for free on PC through the Epic Games Store For many years, the Epic Games Store has offered free games every week to its users. This has enabled many PC gamers to significantly expand their libraries, giving them free access to a large collection of high-quality games. For Christmas, [β¦]
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Free calls with AI Santa
OpenAI is laying the groundwork for an advertising business, signaling a potential shift in how ChatGPT and other products could be monetized beyond subscriptions and enterprise deals.
Whatβs happening. According to reporting from The Information, OpenAI has begun exploring ad formats and partnerships, with early discussions pointing toward ads that could appear within or alongside AI-generated responses. The effort is still in its early stages, but internal conversations suggest ads are becoming a more serious part of OpenAIβs long-term revenue strategy.
Why we care. OpenAI is exploring ads inside AI-generated responses, creating a new, highly contextual channel for reaching users at the moment they seek information. This could put OpenAI in direct competition with Google and Meta, but also raises questions about trust and user engagement. Early adoption could offer a first-mover advantage, while formats and metrics may differ from traditional digital ads. Overall, itβs a potentially transformative new frontier for advertising.
Between the lines. OpenAI appears cautious, aiming to avoid disrupting user experience or undermining confidence in its models. Any ad product is likely to be tightly controlled, at least initially, and positioned as helpful or contextually relevant rather than overtly promotional.
The bigger picture. With soaring infrastructure costs and growing pressure to scale revenue, ads could become a key lever for OpenAI β especially as generative AI reshapes how people search for information and discover products.
What to watch. When ads move from internal planning to public testing, how clearly theyβre labeled, and whether users accept advertising embedded in AI responses.
Bottom line. OpenAI isnβt rushing ads to market, but the foundations are being laid β and their eventual arrival could reshape both AI products and the digital advertising landscape.

Supercandidate is the ultimate AI-powered resume platform designed to revolutionize how professionals in tech and digital fields craft and customize their CVs for every job opportunity. By intelligently analyzing job descriptions, it automatically tailors your resume to highlight the exact skills, keywords, and achievements that recruiters crave, transforming a generic document into a results-driven, ATS-optimized powerhouse that's scannable at a glance.
Google reduced the minimum audience size requirement to just 100 active users across all networks and audience types, making remarketing and customer list targeting far more accessibleβespecially for smaller advertisers.
Whatβs new. Audience segments with as few as 100 users can now be used across Search, Display, and YouTube, including both remarketing lists and customer lists. The same 100-user threshold now applies for segments to appear in Audience Insights, down from 1,000.

Catch up. The shift toward smaller audience thresholds began in May, when Google lowered the minimum user requirement for Customer Lists in Search campaigns from 1,000 to 100.
Why we care. Smaller accounts and niche advertisers can now activate audience strategies that were previously out of reach due to size constraints. This change removes a long-standing barrier to personalization, remarketing, and first-party data activation within Google Ads.
What to watch. How advertisers use smaller, more precise segmentsβand whether performance or privacy safeguards evolve alongside the expanded access.
First seen. This update was first spotted by Web Marketing Consultant, Dario Zannoni, who shared it on LinkedIn.
Bottom line. By lowering audience size limits to 100 users everywhere, Google is opening advanced audience targeting to a much broader range of advertisers.

Real-time Santa tracking returns for 2025, with Google and NORAD offering interactive maps, games, and global arrival updates.
The post Track Santa On Christmas Eve 2025 (Via NORAD & Google) appeared first on Search Engine Journal.

NodeLand offers a collaborative workspace designed to help teams and individuals visualize, organize, and expand ideas using mind maps, templates, and more. This platform is perfect for thinkers who need more than just sticky notes and traditional documents. With NodeLand, you can create mind maps that store notes, images, videos, and files, allowing every node you add, connect, or expand to become a step in a living, evolving web of thought.

Ship Google Workspace add-ons without the setup pain
Create Apple Wallet passes for unsupported cards
Dynamic room & companion that changes based on your music
Create stunning App/Play Store screenshots in minutes
AI Wallpaper AppβLearns your styleβ100% On-Device & Open
Bring Santa to life with AI
AI voice keyboard now on iPhone
Find your next 10x Engineer by proof of work, not keywords
A safe way for AI to build UIs your app can render
Playground for Nano Banana image generation and editing
Drag & drop voice generator tool
Generate production-ready Spring Boot CRUD in seconds
Offline-first Loom-like video recording app for macOS
GitHub repos, issues, and PRs in one clear dashboard

Meet Fridgify, the AI-powered meal planner that starts in your fridge. Snap a photo, let AI detect ingredients, add dietary preferences & time constraints, and get personalized dinner plans with recipesβplus a smart grocery list for anything you're missing. Save, share, and favorite meals across devices. Stop food waste, save time, cook smarter. π©βπ³
VocalApp is an AI-powered audio transcription app built to fix what's broken with other services. We offer high-precision transcription for professionals and creators, combined with a "fair-use" model that respects your data.
Our key feature is a 90-Day Audio History for Pro users, allowing you to check your work against the original audio long after it's processed. We're launching our closed beta soon. Join the waitlist today to get 30 free credits to start and lock in exclusive early-bird pricing.
PC gamers have 24 hours to grab this beloved Metroidvania game Bloodstained: Ritual of the Night, the highly acclaimed spiritual successor to classic games like Castlevania, is now available for free through the Epic Games Store. Typically, this game costs Β£34.99, but for 24 hours, the game will be available for free. For the next [β¦]
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Leado is an AI system designed to identify buying intent across Reddit and conversations that match a userβs specific problem space. Instead of relying on broad keyword alerts, it analyzes context within threads to detect when someone is actively seeking recommendations, solutions, or services. It then generates draft replies that match the tone and details of each discussion, helping users engage without manually searching through multiple subreddits.
The post Google Gemini 3 Redefines AI Reasoning and Efficiency appeared first on StartupHub.ai.
Google Gemini 3 and Gemini 3 Flash represent a pivotal moment for AI, delivering unprecedented reasoning, multimodal understanding, and efficiency across diverse applications.
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AMDβs Ryzen 7 5800X has become Amazon UKβs top-selling CPU DDR5 memory prices are through the roof, creating a nightmare situation for PC builders. The problem has gotten so bad that many PC builders have opted to avoid DDR5 memory altogether. PC builders are now upgrading to older CPU platforms with DDR4 memory support, making [β¦]
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The post Nano Banana Pro Uses Reshape Googleβs Creative AI Tools appeared first on StartupHub.ai.
Google's Nano Banana Pro, powered by Gemini 3 Pro, is now deeply integrated across its product suite, fundamentally reshaping visual content creation for users and developers.
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Google's Gemini 3 models represent a pivotal shift, elevating AI from a mere tool to a truly intelligent utility capable of complex reasoning.
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I get it, these are uncertain times. Organic traffic is dropping like a rock, and new referral trafficΒ coming in from LLMs like ChatGPT barely scratches the surface of whatβs been lost.Β
The narrative of βtraffic is simply coming from a new sourceβ is not accurate. Search and engagement are happening in new ways, but CTRs are dropping significantly across nearly all industries.
Itβs no surprise that many in the industry are feeling anxious about the future of SEO and whether AI might eventually render their roles obsolete. Bringing this up with your C-suite team might feel like the last thing you want to do.
But hereβs the reality: Now is exactly the time to lean in.
Your leadership team needs to understand whatβs happening, and, more importantly, what youβre doing about it.Β
Use this moment to educate, align expectations, and map out how your search strategy is evolving to meet the new landscape head on. Schedule the meeting. Start the conversation.Β
Iβll walk you through exactly what to do to maximize the value of this very important meeting.Β
No, Iβm not going to tell you to picture your leadership team in their underwear. That wonβt make the conversation easier, itβll just make it awkward.
What will help is showing up prepared to lead the conversation.
The SEO toolkit you know, plus the AI visibility data you need.
Set the tone from the start. Your leadership team will already respect the fact that youβre raising this issue before they assign someone to investigate it.Β
Use this opportunity to guide the discussion and provide clarity, not excuses. This isnβt the time to sugarcoat or downplay whatβs happening.Β
Letβs break down the key points to bring to leadership to provide clarity.
This is your opportunity to lead with facts, not fear. Give an honest recap of the current state of the industry and how itβs affecting your business.
To start, here are a few critical events that may help explain shifts in performance:
Next, present a clear, data-driven overview of whatβs changed at your company and how itβs already affecting your business. If organic traffic is down 30%, own it, and if revenue has dipped as well, own that too.
Keep the conversation grounded in measurable outcomes and alignment with company goals. And confirm in advance with your analytics team that data you are citing (in addition to LLM visibility metrics you are collecting) are accurate.
Hereβs data that needs to be shared.
Discuss revenue, leads (or actions marked as key events), and organic traffic data over time, ideally including year-over-year numbers.
These numbers tie the discussion directly to business impact instead of rankings or other vanity metrics. Year-over-year views help distinguish seasonality and industry trends from real performance drops. Identifying these allows leadership to quickly understand when performance went down vs. a soft market (or shift to a new search ecosystem).
Export and review keywords youβve been tracking. This is valuable for Google and Bing, and additional insights from LLM rank tracking can add more context.
No, Iβm not going against my long standing take that rankings shouldnβt be used as a performance metric on their own. However, in situations like these, rankings are incredibly important to understand if the decrease in traffic is purely lost rankings, lost demand, or shifts in how people search.
Export click/impression and CTR data in Google Search Console and Bing Webmaster Tools. Isolate queries/URLs that saw a CTR decrease and determine if those SERPs are now displaying AIOs.
This further demonstrates when performance is truly down or if everyone playing the game has been impacted. If the pages that saw the biggest dips in clicks also display AI overviews, then the impact is likely very similar for your competitors as well. Just another valuable piece of the puzzle.
Once you deliver the current state of the business, questions will follow. Donβt wait to be asked, own the narrative. Explain the broader context, industry-wide shifts, and emerging technologies behind these changes. A few opportunities to consider:
Remember, this isnβt about assigning blame. Itβs about showing you understand the change in landscape and how itβs impacting overall performance.
This is the moment to show leadership that you are not just diagnosing a problem, you are actively working toward a solution. They might not love every answer, but they will respect that you are thinking three steps ahead.Β
Make it clear that while the rules are changing, your team is already adapting to win in the next era of search. Then be explicit about what you need from them, whether thatβs budget, headcount, data support, or cross-functional alignment, so you can actually execute the plan instead of just presenting the problem.
Here are a few ideas to communicate the next plan of attack.
We are working to increase our brandβs presence outside of traditional search, focusing heavily on AI-generated answers and emerging discovery platforms.
That includes tracking which questions matter most to our buyers, understanding where our brand appears today, and prioritizing content, PR, and partnerships to increase our odds of being named in those answers.Β
The goal is simple: If people are getting answers without clicking, our brand still needs to show up in the answer. This is done by repetition and consistency in our brand mentions/citations across the web.
We are rethinking content strategy around entities and topics, not just keywords and rankings.
LLMs reward brands that have deep, consistent coverage of a topic and clear signals of expertise. That affects what we publish, how we structure content, and how we collaborate with PR, product, and subject matter experts to build authority over time. This is the 2.0 version of βSEO contentβ and it wonβt be easy, but the results will be worth it.
We are investing in visibility measurement across both traditional and non-traditional search channels.
Google organic traffic is no longer the single source of truth. We are building reporting that accounts for AI surfaces, social discovery, referral ecosystems, and even offline demand, so the broader team sees the full picture instead of assuming βSEO is down, therefore demand is down.β This helps quantify the broader shift in search ecosystems.
AI Overviews are a permanent shift, not a test.
This means resetting traffic baselines, forecasts, and goals to reflect fewer clicks from classic blue links within the SERP. We are not planning our pipeline in the hope that Google turns AI Overviews off, we are planning for a world where this is the new normal.
Some version of βAI Modeβ will likely become Googleβs default experience in 2026.
If more searches are answered directly in Googleβs interface, fewer visitors will hit our site. That changes how many leads or sales we can expect from SEO alone, and it will force us to rethink everything, including budgeting and how we attribute performance across channels.
Youβve explained whatβs happening, why itβs happening, and how your team is adapting. Now, make it clear to leadership that to succeed in this shifting landscape, it canβt be done in isolation. Youβll need alignment, resources, and ongoing support.
Use this opportunity to preemptively answer questions like βWhat do you need from us?β and to shape the path forward. Leaders like nothing more than an actionable plan that they simply have to bless to get done.
Here are some critical needs to outline.
Search success in the AI era looks different, is measured differently than we are used to, and will take time to optimize.Β
We should agree up front on realistic timeframes, what leading indicators we will track, and how often we will report back. Rankings, traffic, and last-click revenue will not always move neatly in sync, so leadership needs to be comfortable with a period where we are learning and recalibrating, not just chasing last yearβs dashboards.
Executive buy-in is needed to prioritize long-term brand-building alongside short-term performance metrics.Β
This means leadership agrees that some SEO and content initiatives will not pay off in this quarterβs reporting but are required to keep the brand visible in search and AI-driven experiences over the next 12 to 24 months. It also means updating KPIs so the team is not punished for investing in assets that compound over time instead of quick, last-click wins.
Budget flexibility to invest in experimental channels, new content formats, and tools that help track AI visibility.Β
A portion of the marketing budget will need to be earmarked for testing, for example: new AI visibility tools, structured data implementations, interactive content, and partnerships that increase the odds of being cited in AI answers. The goal is to learn fast, kill what does not work, and scale what does.
Cross-functional collaboration with analytics, product, PR, and content teams needs to happen to shift how we measure and execute organic growth.Β
SEO can no longer operate in a silo. We need analytics to help us build new dashboards that track visibility and assisted impact, PR to prioritize stories and placements that feed both search and AI systems, and product and content teams to align roadmaps with the topics and entities that matter most. Without that alignment, we end up with fragmented efforts and noisy data that no one trusts.
Youβre not just reacting to change but guiding your organization through it. AI and LLMs are rewriting how people search, discover, and click. This isnβt the time to panic, let alone support the βorganic search is deadβ rumor. It means the game has changed, and good businesses arenβt afraid. They adapt.Β
Part of that strategy is ongoing monitoring. One-time pitches for buy-in are great, but all marketing efforts need to be measured. Set a regular cadenceβfor example, a monthly AI visibility update metric alongside your βnormalβ SEO KPIs.Β
As AI and LLMs evolve, you can leverage the data youβve measured to brief leadership on what has changed and how you have adapted to the situation.Β
Track, optimize, and win in Google and AI search from one platform.
By getting ahead of the conversation, grounding your message in data, and proposing a realistic path forward, youβre showing exactly the kind of strategic thinking that executives value.
This is no longer only about SEO, itβs about future-proofing how your business earns visibility, trust, and traffic in a radically new environment. It doesnβt matter if that happens on Google, ChatGPT, Reddit, or anywhere else. Whatβs important is being visible in the spaces where your customers are hanging out.Β
IO Interactiveβs upcoming James Bond game has been delayed by two months 007 First Light, the next game from Hitman developer IO Interactive, has been postponed for two months. IO Interactive has stated that this delay will ensure that the game βmeets the level of quality you players deserve on day oneβ. IO Interactive has [β¦]
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Google's Year in Search reveals trending actors, movies, athletes, games, recipes, and travel destinations that captured attention throughout 2025.
The post Google Reveals The Top Searches Of 2025 appeared first on Search Engine Journal.
DDR5 memory kits now cost almost 4x more than they did in September DDR5 memory prices continue to rise rapidly, with a generic 32GB (2x16GB) DDR5 kit now costing nearly 4x as much as it did in September. Over the past week, a 32GB kit of Crucial Pro DDR5-6000 memory has increased in price by [β¦]
The post DDR5 nightmare β Memory prices continue to skyrocket appeared first on OC3D.

Most business owners assume that if an ad is approved by Google or Meta, it is safe.Β
The thinking is simple: trillion-dollar platforms with sophisticated compliance systems would not allow ads that expose advertisers to legal risk.
That assumption is wrong, and it is one of the most dangerous mistakes an advertiser can make.
The digital advertising market operates on a legal double standard.Β
A federal law known as Section 230 shields platforms from liability for third-party content, while strict liability places responsibility squarely on the advertiser.Β
Even agencies have a built-in defense. They can argue that they relied on your data or instructions. You canβt.
In this system, you are operating in a hostile environment.Β
Here is what you need to know to protect your business.
Note: This article was sparked by a recent LinkedIn post from Vanessa Otero regarding Metaβs revenue from βhigh-riskβ ads. Her insights and comments in the post about the misalignment between platform profit and user safety prompted this in-depth examination of the legal and economic mechanisms that enable such a system.
While the strict liability standard is specific to U.S. law (FTC), the economic fallout of this system affects anyone buying ads on U.S.-based platforms.
Before we discuss the platforms, it is essential to understand your own legal standing.Β
In the eyes of the FTC and state regulators, advertisers are generally held to a standard of strict liability.
What this means: If your ad makes a deceptive claim, you are liable. Thatβs it.
The law views the business owner as the βprincipalβ beneficiary of the ad.Β
You have a non-delegable duty to ensure your advertising is truthful.Β
Even if an agency writes unauthorized copy that violates the law, regulators often fine the business owner first because you are the one profiting from the sale.Β
You can try to sue your agency later to get your money back, but that is a separate battle you have to fund yourself.
If you are strictly liable, why doesnβt the platform help you stay compliant? Because they donβt have to.
Section 230 of the Communications Decency Act declares that βinteractive computer servicesβ (platforms) are not treated as the publisher of third-party content.
To understand how exposed you are, look at the legal hierarchy of the three main players in any ad campaign:
Legal status: Immune.
They accept your money to run the ad. Courts have ruled that providing βneutral toolsβ like keyword suggestions does not make the platform liable for the fraud that ensues.Β
If the FTC sues, they point to Section 230 and walk away.
If your agency writes a false ad, they are typically only liable if regulators prove they βknew or should have knownβ it was false.Β
They can argue they relied on your product data in good faith.
You are the end of the line.Β
You canβt pass the buck to the platform (immune) or easily to the agency (negligence defense).Β
If the ad is false, you pay the fine.
The situation gets worse.Β
Because platforms are immune, they allow βhigh-riskβ actors into the auction that legitimate businesses, like yours, have to compete against.
A recent Reuters investigation revealed that Meta internally projected roughly 10% of its ad revenue (approximately $16 billion) would come from βintegrity risksβ:Β
Worse, internal documents reveal that when the platformβs AI suspects an ad is a scam (but isnβt β95% certainβ), it often fails to ban the advertiser.
Instead, it charges them a βpenalty bid,β a premium price to enter the auction.
You are bidding against scammers who have deep illicit profit margins because they donβt ship real products (zero cost of goods sold).Β
This allows them to bid higher, artificially inflating the cost per click (CPC) for every legitimate business owner.Β
You are paying a fraud tax just to get your ad seen.
The most urgent risk for 2026 is the rise of generative AI tools (like βAutomatically Created Assetsβ or βAdvantage+ Creativeβ).
Platforms are pushing you to let their AI rewrite your headlines and generate your images. Do not do this blindly.
If Googleβs AI hallucinates a claim, you are strictly liable for it.Β
However, the legal shield for platforms is cracking here.
In cases like Forrest v. Meta, courts are seeing that platforms may lose immunity if their tools actively help βdevelopβ the illegality.
We have seen this before.Β
In cases like CYBERsitter v. Google, courts refused to dismiss lawsuits when the platform was accused of βdevelopingβ the illegal content rather than just hosting it.Β
If the AI writes the lie, the platform is arguably the βdeveloper,β which pierces their initial immunity shield.
This liability extends to your entire website.Β
By default, Googleβs Performance Max campaigns have βFinal URL Expansionβ turned on.Β
This gives their bot permission to crawl any page on your domain, including test pages or joke pages, and turn them into live ads.Β
Googleβs Terms of Service state that the βCustomer is solely responsibleβ for all assets generated, meaning the botβs mistake is legally your fault.
Be cautious of programs that blur the line.Β
Features like the βGoogle Guaranteedβ badge can create exposure for deceptive marketing.Β
Because the platform is no longer a neutral host but is vouching for the business (βGuaranteedβ), regulators can argue they have stepped out from behind the Section 230 shield.
By clicking βAuto-apply,β you are effectively signing a blank check for a robot to write legal promises on your behalf.
While strict liability is the law, enforcement is not random. The FTC and State Attorneys General have limited resources, so they prioritize based on harm and scale.
It is vital to remember that Section 230 is a U.S. anomaly.Β
If you advertise globally, youβre playing by a different set of rules.
Knowing the deck is stacked, how do you protect your business?
Never hit βpublishβ on an auto-generated asset without human eyes on it first.
If you use an agency, require them to send you a βsubstantiation PDFβ once a quarter that links every claim in your top ads to a specific piece of proof (e.g., a lab report, a customer review, or a supply chain document).
For every claim you make (βFastest shipping,β βBest rated,β βLoses 10lbsβ), keep a PDF folder with the proof dated before the ad went live.Β
This is your only shield against strict liability.
Go into your ad accounts today.Β
Turn off any setting that allows the platform to automatically rewrite your text or generate new assets without your manual review.Β
Efficiency is not worth the liability.
Lawmakers are actively debating the SAFE TECH Act, which would carve out paid advertising from Section 230.Β
While Congress continues to debate reform, you must protect your own business today.
The digital ad market is a powerful engine for growth, but it is legally treacherous.Β
Section 230 protects the platform. Your contract protects your agency.Β
Nothing protects you except your own diligence.
That is why advertisers must stop conflating platform policy with the law.Β
Passing the first does not mean you are safe from the second.
Google expanded Demand Gen channel controls to include Google Maps, giving advertisers a new way to reach users with intent-driven placements and far more control over where Demand Gen ads appear.
Whatβs new. Advertisers can now select Google Maps as a channel within Demand Gen campaigns. The option can be used alongside other channels in a mixed setup or on its own to create Maps-only campaigns.

Why we care. This update unlocks a powerful, location-focused surface inside Demand Gen, allowing advertisers to tailor campaigns to high-intent moments such as local discovery and navigation. It also marks a meaningful step toward finer channel control in what has traditionally been a more automated campaign type.
Response. Advertisers are very excited by this update. CEO of AdSquire Anthony Higman has been waiting for this for decades:

Google Ads Specialist Thomas Eccel, who shared the update on LinkedIn said: βThis is very big news and shake up things quite a lot!β
Between the lines. Google continues to respond to advertiser pressure for greater transparency and control, gradually breaking Demand Gen into more modular, selectable distribution channels.
What to watch. How Maps placements perform compared to YouTube, Discover, and Gmailβand whether Google expands reporting or optimization tools specifically for Maps inventory.
First seen. This update was first spotted by Search Marketing Specialist Francesca Poles, when she shared the update on LinkedIn
Bottom line. Adding Google Maps to Demand Gen channel controls is a significant shift that gives advertisers new strategic flexibility and the option to build fully location-centric campaigns.
Search marketers are starting to build, not just optimize.
Across SEO and PPC teams, vibe coding and AI-powered development tools are shrinking the gap between idea and execution β from weeks of developer queues to hours of hands-on experimentation.Β
These tools donβt replace developers, but they do let search teams create and test interactive content on their own timelines.
That matters because Googleβs AI Overviews are pulling more answers directly into the SERP, leaving fewer clicks for brand websites.Β
In a zero-click environment, the ability to build unique, useful, conversion-focused tools is becoming one of the most practical ways search marketers can respond.
Vibe coding is a way of building software by directing AI systems through natural language rather than writing most of the code by hand.Β
Instead of working line by line, the builder focuses on intent β what the tool should do, how it should look, and how it should respond β while the AI handles implementation.
The term was popularized in early 2025 by OpenAI co-founder Andrej Karpathy, who described a loose, exploratory style of building where ideas are tested quickly, and code becomes secondary to outcomes.Β
His framing captured both the appeal and the risk: AI makes it possible to build functional tools at speed, but it also encourages shortcuts that can lead to fragile or poorly understood systems.

Since then, a growing ecosystem of AI-powered development platforms has made this approach accessible well beyond engineering teams.Β
Tools like Replit, Lovable, and Cursor allow non-developers to design, deploy, and iterate on web-based tools with minimal setup.Β
The result is a shift in who gets to build β and how quickly ideas can move from concept to production.
That speed, however, doesnβt remove the need for judgment.Β
Vibe coding works best when itβs treated as a craft, not a shortcut.Β
Blindly accepting AI-generated changes, skipping review, or treating tools as disposable experiments creates technical debt just as quickly as it creates momentum.Β
Mastering vibe coding means learning how to guide, question, and refine what the AI produces β not just βsee stuff, say stuff, run stuff.β
This balance between speed and discipline is what makes vibe coding relevant for search marketers, and why it demands more than curiosity to use well.
Vibe coding should not be confused with vibe marketing.Β
AI no-code tools used for vibe coding are designed to build things β applications, tools, and interactive experiences.Β
AI automation platforms used for vibe marketing, such as N8N, Gumloop, and Make, are built to connect tools and systems together.
For example, N8N can be used to automate workflows between products, content, or agents created with Replit.Β
These automation platforms extend the value of vibe-coded tools by connecting them to systems like WordPress, Slack, HubSpot, and Meta.
Used together, vibe coding and AI automation allow search teams to both build and operationalize what they create.

In the future, AI-powered coding platforms will likely become a default part of the marketing skill set, much like knowing how to use Microsoft Excel is today.Β
AI wonβt take your job β but someone who knows how to use AI might.Β
We recently interviewed candidates for a director of SEO and AI optimization role.
None of the people we spoke with were actively vibe coding or had used AI-powered development software for SEO or marketing.
That gap was notable.Β
As more companies add these tools to their technology stacks and ways of working, hands-on experience with them is likely to become increasingly relevant.
Vibe coding lets search marketers quickly build interactive tools that are useful, conversion-focused, and difficult for Google to replicate through AI Overviews or other SERP features.
For paid search, this means teams can rapidly test interactive content ideas and drive traffic to them to evaluate whether they increase leads or sales.Β
These platforms can also be used to build or enhance scripts, improve workflows, and support other operational needs.
For SEO, vibe coding makes it possible to add meaningful utility to pages and websites, which can increase engagement and encourage users to return.Β
Returning visitors matter because, according to Googleβs AI Mode patent, user state β which includes engagement β plays a significant role in how results are generated in AI Overviews and AI Mode.

For agency founders, CEOs, CFOs, and other group leaders, these tools also make it possible to build custom internal systems to support how their businesses actually operate.Β
For example, I used Replit to build an internal growth forecasting and management tool.

It allows me to create annual forecasts with assumptions, margins, and P&L modeling to manage the SEO and AI optimization group.Β
There isnβt off-the-shelf software that fully supports those needs.
Vibe coding tools can also be cost-effective.Β
In one case, I was quoted $55,000 and a three-month timeline to build an interactive calculator for a client.Β
Using Replit, I built a more robust version in under a week on a $20-per-month plan.
Beyond efficiency, the most important reason to develop these skills is the ability to teach them.Β
Helping clients learn how to build and adapt alongside you is increasingly part of the value agencies provide.
In a widely shared LinkedIn post about how agencies should approach AI, Chime CMO Vinneet Mehra argued that agencies and holding companies need to move from βweβll do it for youβ to βweβll build it with you.βΒ
In-house teams arenβt going away, he wrote, so agencies need to partner with them by offering copilots, playbooks, and embedded pods that help brands become AI-native marketers.
Being early to adopt and understand vibe coding can become a competitive advantage.Β
Used well, it allows teams to navigate a zero-click search environment while empowering clients and strengthening long-term working relationships β the kind that make agencies harder to replace.

There are many vibe coding platforms on the market, with new ones continuing to launch as interest grows. Below are several leading options worth exploring.
| AI development tool and experience level | Pros | Cons |
| Google AI Studio (Intermediate) | β’ Direct access to Googleβs latest Gemini models. β’ Seamless integration with Google ecosystem (Maps, Sheets, etc.). β’ Free tier available for experimentation. | β’ Locked into Googleβs ecosystem and Gemini models. β’ Limited flexibility compared to open platforms. β’ Smaller community/resources compared to established tools. |
| Lovable (Beginner) | β’ Rapid full-stack app generation from natural language. β’ Handles database setup automatically.Β β’ Minimal coding knowledge required. | β’ Relatively new platform with less maturity. β’ Limited customization for complex applications. β’ Generated code may need refinement for production. |
| Figma Make (Intermediate) | β’ Seamless design to code workflow within. β’ Ideal for teams already using Figma. β’ Bridges gap between designers and developers. | β’ Requires Figma subscription and ecosystem. β’ Newer tool, still evolving features. β’ Code output may need developer review for production. |
| Replit (Intermediate) | β’ All-in-one platform (code, deploy, host). β’ Strong integration capabilities with third-party tools. β’ No local setup required. | β’ Performance can lag compared to local development. β’ Free tier has significant limitations. β’ Fees can add up based on usage. |
| Cursor (Advanced) | β’ Powerful AI assistance for experienced developers. β’ Works locally with your existing workflow. β’ Advanced code understanding and generation. | β’ Steeper learning curve, requires coding knowledge. β’ Need to download the softwareΒ GitHub dependency for some features. |
For beginners:
For developers, Replit and Cursor offer deeper tooling and are better suited for integrations with other systems, such as CRMs and CMS platforms.
Google AI Studio is broader in scope and offers direct connections to Google products, including Google Maps and Gemini, making it useful for teams working within Googleβs ecosystem.
You should test several of these tools to find the one that best fits your needs.Β
I prefer Replit, but I will be using Figma Make because our creative teams already work in Figma.Β
Bubble is also worth exploring if you are new to coding, while Windsurf may be a better fit for more advanced users.
There is no shortage of things you can build with vibe coding platforms.Β
The more important question is what interactive content you should build β tools that do not already exist, solve a real problem, and give users a reason to return.Β
Conversion focus matters, but usefulness comes first.
Common use cases include:
Articles can only take you so far in a zero-click environment, where AI Overviews increasingly provide direct answers and absorb traffic.Β
Interactive content should be an integral part of a modern search and content strategy, particularly for brands seeking to enhance visibility in both traditional and generative search engines, including ChatGPT.Β
Well-designed tools can earn backlinks, increase time on site, drive repeat visits, and improve engagement signals that are associated with stronger search performance.
For example, we use AI development software as part of the SEO and content strategy for a client serving accounting firms and bookkeeping professionals.Β
Our research led to the development of an AI-powered accounting ROI calculator designed to help accountants and bookkeeping firms understand the potential return on investment from using AI across different parts of their businesses.
The calculator addresses several core questions:
It fills a gap where clear answers did not previously exist and represents the kind of experience Google AI Overviews cannot easily replace.

The tool is educational by design.Β

It explains which tasks can be automated with AI, displays results directly on screen, forecasts a break-even point, and allows users to download a PDF summary of their results.

AI development software has also enabled us to design additional calculators that deliver practical value to the clientβs target audience by addressing problems they cannot easily solve elsewhere.
Vibe coding works best when it follows a structured workflow.Β
The steps below outline a practical process search marketers can use to plan, build, test, and launch interactive tools using AI-powered development platforms.
Run SERP analysis, competitor research, and customer surveys, and use audience research tools such as SparkToro to identify gaps where AI Overviews leave room for interactive tools.Β
Include sales, PR, legal, compliance, and cybersecurity teams early in the process.Β
That collaboration is especially important when building tools for clients.Β
When possible, involve customers or target audiences during research, ideation, and testing.
Create a content specification document to define what you want to build before you start.Β
This document should outline functionality, inputs, outputs, and constraints to help guide the vibe coding software and reduce errors.Β
Include as much training context as possible, such as brand colors, tone of voice, links, PDFs, and reference materials.Β
The more detail provided upfront, the better the results.
Use this Interactive Content Specification Brief template, and review the instructions before getting started.
Begin with wireframes and front-end design before building functionality.Β
Replit prompts for this approach during setup, and it helps reduce rework later.Β
Getting the design close to final before moving into logic makes it easier to evaluate usability.Β
Design changes can always be made later.
After submitting the specification document, continue prompting to refine the build.Β
Ask the AI why it made specific decisions and how changes affect the system.Β
In practice, targeted questions lead to fewer errors and more predictable outcomes.

Deploy the tool to a test URL to confirm it behaves as expected.
If the tool will be embedded on other sites, test it in those environments as well.Β
Security configurations can block API calls or integrations depending on the host site.Β
I encountered this when integrating a Replit build with Klaviyo.Β
After reviewing the deployment context, the issue was resolved.
Have the AI update the content specification document to reflect the final version of what was built.Β
This creates a record of decisions, changes, and requirements and makes future updates or rebuilds easier.Β
Save this document for reference.
Push the interactive content live using a custom domain or by embedding it on your site.Β
Plan distribution and promotion alongside the launch.Β
This is why involving PR, sales, and marketing teams from the beginning of the project matters.
They play a role in ensuring the content reaches the right audience.
Vibe coding tools are powerful, but understanding their limitations is just as important as understanding their strengths.Β
The main risks fall into three areas:Β
While impressive, vibe coding tools can introduce security gaps.Β
AI-generated code does not always follow best practices for API usage, data encryption, authentication, or regulatory requirements such as GDPR or ADA compliance.Β
Any vibe-coded tool should be reviewed by security, legal, and compliance professionals before launch, especially if it collects user data.Β
Privacy-by-design principles should also be documented upfront in the content specification document.
These platforms are improving.Β
For example, some tools now offer automated security scans that flag issues before deployment and suggest fixes.Β
Even so, human review remains essential.
Another common risk is what could be described as the βvibe coding hangover.βΒ
A tool that starts as a quick experiment can quietly become business-critical, while costs scale alongside usage.Β
Monthly subscriptions that appear inexpensive at first can grow rapidly as traffic increases, databases expand, or additional API calls are required.
In some cases, self-hosting a vibe-coded project makes more sense than relying on platform-hosted infrastructure.Β
Hosting independently can help control costs by avoiding per-use or per-visit charges.
Vibe coding can also create technical debt.Β
Tools can break unexpectedly, leaving teams staring at code they no longer fully understand β a risk Karpathy highlighted in his original description of the approach.Β
This is why βAccept allβ should never be the default.Β
Reviewing AI explanations, asking why changes were made, and understanding tradeoffs are critical habits.
Most platforms provide detailed change logs, version history, and rollback options, which makes it possible to recover when something breaks.Β
Updating the content specification document at major milestones also helps maintain clarity as projects evolve.
AI Overviews and zero-click search are changing how value is created in search.Β
Traffic is not returning to past norms, and competing on content alone is becoming less reliable.Β
The advantage increasingly goes to teams that build interactive experiences Google cannot easily replicate β tools that require user input and deliver specific, useful outcomes.
Vibe coding makes that possible.Β
The approach matters: start with research and a clear specification, design before functionality, prompt with intent, and iterate with discipline.Β
Speed without structure creates risk, which is why understanding what the AI builds is as important as shipping quickly.
The tools are accessible. Lovable lowers the barrier to entry, Cursor supports advanced workflows, and Replit offers flexibility across use cases.Β
Many platforms are free to start. The real cost is not testing whatβs possible.
More importantly, vibe coding shifts how teams work together.Β
Agencies and in-house teams are moving from βweβll do it for youβ to βweβll build it with you.βΒ
Teams that develop this capability can adapt to a zero-click search environment while building stronger, more durable partnerships.
Build something. Learn from it. The competitive advantage is often one prompt away.

LG delivers OLED clarity with its new 4K OLED Stripe display panels LG is tackling one of the biggest problems facing OLED monitor users: visual distortions. Specifically, they target colour bleeding and fringing to make text easier to read. How are they tackling this issue? With their new OLED Stripe technology, LG is moving to [β¦]
The post LG fixes one of OLEDβs biggest flaws with new RGB Stripe display tech appeared first on OC3D.

The post The Fiserv-Mastercard Strategy in Agentic Commerce and Agentic Payments appeared first on StartupHub.ai.
Fiserv and Mastercard have expanded their partnership to operationalizeΒ agentic commerceΒ at scale, positioning Fiserv as one of the first major processors to adopt MastercardβsΒ Agent Pay Acceptance Framework. This move establishes a critical infrastructure on-ramp forΒ agentic payments, allowing AI agents to initiate transactions through secure, programmable rails. The partnership builds on previous collaborations regarding stablecoin adoption and [β¦]
The post The Fiserv-Mastercard Strategy in Agentic Commerce and Agentic Payments appeared first on StartupHub.ai.


Brand-agency partnerships look very different today than they did even a few years ago, and by 2026 that gap will only widen.Β
Internal marketing teams are more sophisticated, digital channels are more specialized, and the role agencies play is no longer one-size-fits-all.Β
As a result, the companies that get the most value from agency relationships arenβt always the biggest spenders.Β
Theyβre the ones that are clear about what they need and what they donβt.
That clarity starts with understanding the true role an agency should play inside your organization.Β
Too many partnerships struggle because expectations and responsibilities were never properly aligned from the start.Β
When that foundation is off, even strong execution can fall flat.
After working with thousands of businesses across various industries and growth stages, we consistently observe that agency success falls into two distinct partnership models, primarily shaped by company size and internal marketing maturity.
If your company generates more than $50 million in annual online revenue, you likely already have a strong internal marketing team.Β
Strategy, goal-setting, and planning live in-house. What you need from an agency is deep platform expertise and consistent, high-level execution.
At this stage, agencies function as specialist operators that:
When something underperforms, a strong agency partner doesnβt rush to tactics.Β
They help determine whether the issue lies in execution, shifting market conditions, or a broader strategic blind spot β and they bring the data needed to support course correction.
For companies under $50 million in annual online revenue, the agency relationship is different.Β
Internal teams are often lean, stretched, or still developing core digital expertise.Β
In these cases, agencies donβt just execute β they help shape the entire growth strategy.
Here, the right agency partner becomes an extension of the marketing department that can:
The relationship is more integrated because it has to be.
For many growing businesses, agencies offer access to senior-level expertise at a fraction of the cost of building a full in-house team.Β
That tradeoff often creates the best possible balance between speed, strategy, and financial reality.
Dig deeper: How to hire an SEO agency: The definitive guide
Most companies approach agency selection the wrong way.Β
Hereβs how to improve your odds of finding a partner that actually fits your needs.
Many large companies use the request for proposal (RFP) process to solicit potential partners.Β
However, RFPs often favor vendors that excel at paperwork over those that prioritize performance.Β
From an agency perspective, if you donβt already know youβve won an RFP, youβre not going to win it.Β
They act more as rubber stamps for a decision that has already been made.
Large companies should instead leverage their connections.Β
If youβre running a large internal marketing department, you probably already know dozens of professionals who could provide referrals.Β
Use that network to find firms doing great work, then reach out to them directly.Β
Smaller businesses should talk to their peers about trusted marketing vendors and then check reviews to validate those recommendations.
No agency is perfect, and every agency will have some dissatisfied clients.Β
But if you see patterns of negative reviews emerge, you should stay away.Β Β Β Β
Once youβve identified a few potential partners, ask them to audit your current marketing setup.Β
In most cases, digital marketing agencies conduct these audits for free.Β
Keep in mind that during an audit, many agencies will point out what youβre doing wrong.Β
But the goal is to receive honest, constructive feedback that offers insight into whatβs working and whatβs possible.
The audit process will look different depending on the companyβs size.Β
These agencies wonβt be working in a vacuum.Β
Every element of marketing is interrelated, so theyβll need to know who manages each stage of the funnel and whether theyβre doing a good job.Β Β
Companies of all sizes should collect audits from multiple sources.Β
This enables you to compare recommendations and understand if the partnership will be a good fit.Β
Large companies need partners that can integrate with their internal processes.Β
Smaller companies need to pick vendors with people they actually want to work with.Β
Both considerations are critical in ensuring long-term success.
Once youβve selected the right agency partner, itβs time to define your goals.Β
Itβs an unfortunate reality that most business leaders set marketing goals that donβt align with their business goals, which puts agency partners in an untenable position before the relationship even gets off the ground.Β
Good agencies should challenge your goals before you even sign a contract. They should push you to dream bigger or rein you in if your expectations are unrealistic.Β
If a potential client in the beauty space says they want a tenfold return on ad spend (ROAS) while jumping their non-brand spend from $20,000 to $100,000, a good agency should know enough to push back.Β
Your potential partner should understand the economics of your business and help ensure your marketing goals align with your business goals.Β
Often they donβt, which is where good agencies add immediate value.
Dig deeper: How to find your next PPC agency: 12 top tips
Once the work begins, you need to keep your agency accountable. Hereβs how.
Larger companies typically sign 12-month contracts with their agency vendors.Β
They value stability and performance, and longer contract terms provide agencies with the time needed to establish themselves within the marketing operation.Β
Smaller companies canβt afford to bind themselves to an underperforming agency for an entire calendar year.Β
If youβre hiring an agency partner at a smaller company, opt instead for a three-month agreement that automatically renews to month-to-month.Β
The most productive business-agency partnership often involves some conflict from time to time.Β
Great partners will challenge your thinking regularly, which can sometimes create discomfort.Β
But if everything is always smooth sailing, you probably arenβt growing or improving.Β
The goal instead is to have productive conversations that involve healthy disagreement and constant refinement.Β Β
If youβre overseeing a brand-agency partnership, you should establish regular reviews that compare progress to the opportunities identified in the agencyβs initial audit.Β
For smaller companies, quarterly reviews make sense. They align with the contract structure and allow you to recalibrate budget allocation.
Larger companies might review monthly or quarterly, depending on spend and complexity.Β
However, context here matters. You need to understand if your industry is growing or shrinking to judge your agencyβs work.Β
For example, if your industry is down 10% year-over-year and your sales are flat, youβre outperforming your competitors.Β
Often, the agency or brand can obtain this information from their representatives on platforms such as Google, Microsoft, Amazon, or Meta.
Great agency partners will proactively bring new growth ideas to the table, which is particularly valuable for smaller businesses.
Large companies also benefit from outside ideas and should establish dedicated budgets for testing.
After all, if your agency isnβt investing at least a small portion of the budget into new, untested ideas, brands will find themselves falling behind competitors that are.
Innovation isnβt just about testing what works today. Itβs about understanding whatβs coming next.
Great agency partners should help you see whatβs coming 6-12 months out, and prepare your marketing to meet those new conditions.Β
Businesses need an agencyβs expertise, which becomes insight over the longer term.
Without it, theyβll be flying blind.Β Β Β Β
Dig deeper: How to onboard an SEO agency the right way
Not every brand-agency partnership succeeds, even with the best intentions.Β
If your gut is telling you something isnβt working or that something could be working better, here are a few red flags that might indicate itβs time to make a change.
Your marketing efforts should revolve around finding new-to-brand customers. Full stop.Β
If your business isnβt growing and your industry is stable or growing, thatβs a big red flag that marketing isnβt working.Β
Once an agency stops being a partner in growth, itβs time to make a change.Β
The marketing ecosystem is constantly changing:
If your agency isnβt bringing new ideas or exploring new ways to reach customers, your marketing is stagnating.Β
In these instances, an outside audit can reveal deficiencies and potential opportunities.Β Β
If your agency canβt contextualize your performance β good or bad β within the broader marketing ecosystem, itβs a strong indication they donβt understand your sales funnel.
Channel experts should know how their performance is affected by upper-funnel activities and how those activities affect bottom-funnel activities.Β
Marketing agencies for smaller businesses should know enough about the entire marketing operation and understand how performance in one area impacts another.Β
Dig deeper: Avoiding cookie-cutter SEO: 8 red flags to watch out for
The best marketing in the world wonβt help a bad business grow.Β
A good company, combined with good leadership and a good agency, is the secret sauce of successful growth.Β
If one of those elements is missing, marketing will never accomplish what you hope it will.Β
Getting great results within a brand-agency partnership isnβt about huge marketing budgets or fancy advertising awards.Β
Instead, itβs about understanding what role your agency should play, and choosing a partner equipped to fill it.Β
When your needs align with an agencyβs specific capabilities, thatβs where the real growth happens.Β
Choosing an agency partner isnβt a one-time decision.Β
Itβs an ongoing process that includes accountability, perpetual refinement, and, sometimes, healthy disagreement.Β
While this process certainly isnβt easy, itβs worth getting right.Β Β
Expandable storage may be disappearing from phones, but SD cards still power consoles, cameras, and more. This guide explains the specs, speeds, and formats that actually matter, so you can buy the right card with confidence.

Thread Deck is a simple visual workspace that helps you think more clearly with your notes. Instead of bouncing between tabs, screenshots, and old AI chats, you can drop everything onto one canvas and see how it all fits together. Notes, links, ideas, and prompts stay side by side, and you can connect them with a click.
You can also plug your notes straight into AI chats like ChatGPT, Claude, or Gemini to get better results with your own context. Thread Deck makes it easy to save your best prompts, reuse them, and keep your ideas organized as you work. Itβs calm, clean, and built for people who want a smarter, more visual way to think.
The post Agentic Enterprise AI Redefines Exit Readiness appeared first on StartupHub.ai.
Agentic Enterprise AI is fundamentally redefining how private equity firms build exit readiness and accelerate portfolio company valuations.
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The post Ask Photos Transforms Personal Photo Discovery appeared first on StartupHub.ai.
Google Photos' 'Ask Photos' feature leverages AI to allow natural language queries, fundamentally changing how users find and interact with their digital memories.
The post Ask Photos Transforms Personal Photo Discovery appeared first on StartupHub.ai.
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Google's Year in Search 2025 demonstrates a strategic pivot, embedding AI as the foundational layer across its entire product ecosystem, from Search to Gemini.
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Vince Zampella, CEO of Respawn Entertainment and Call of Duty co-creator, tragically dies aged 55 Vince Zampella, the CEO of Respawn Entertainment and former CEO of Infinity Ward, died in a car crash in Southern California on Sunday afternoon. The prolific video game developer was travelling in a Ferrari with another passenger when the vehicle [β¦]
The post Call of Duty co-creator Vince Zampella killed in car crash appeared first on OC3D.
Run AI agents like Claude Code, Codex, Opencode on mobile
Gather structured data wherever it lives on the web
Turn videos into perfect screenshots automatically
Tag, message, + manage AI agents across your daily workflows
Jobsite photo tracking with geo tags and AI notes
Your Apple Health Data, Beautifully Visualized.
Build automations with natural language, not workflows
Generate Professional Brand Guidelines, In Seconds
Open-source AI cursor control with computer vision
Plan your path to debt freedom
No more bad Secret Santa gifts



Wauld is an end-to-end digital credential management platform that lets you design, issue, and track - verifiable certificates and badges in minutes. No more juggling between multiple tools, fragmented data, and manual verification processes.
With 600+ professionally designed templates, tamper-proof security, and real-time engagement tracking (including LinkedIn), you get the complete credentialing lifecycle in one unified platform. Wauld also offers a Free plan that supports up to 300 certificates or badges - ideal for online coaches, trainers and educators.
The post Anthropic publishes SB 53 compliance framework for frontier AI appeared first on StartupHub.ai.
Anthropicβs new Frontier Compliance Framework details how the company will meet Californiaβs SB 53 compliance requirements for managing catastrophic AI risks.
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AdeptDev is a lightweight project management tool built specifically for developers. It helps you plan features, track progress, and stay focused without all the clutter of traditional project tools.
It connects directly with your codebase to automatically stay in sync with your commits, branches, and pull requests so your tasks always match whatβs actually happening in your repo. When you open a pull request, finish a feature, or close an issue, AdeptDev updates your boards automatically. No more manual status updates or juggling tabs, just clean, effortless project tracking that moves at the same pace as your code.
A new dataset of 300K viral YouTube videos suggests that faces in thumbnails perform about the same as without them, with larger differences by niche.
The post Do Faces Help YouTube Thumbnails? Hereβs What The Data Says appeared first on Search Engine Journal.

TikTok's looking to get into the spirit of the season.Β
A colorful look at your year on LinkedIn.Β
A look at the most popular art styles used in AI image generation.Β
Snapchat's got a new AI Lens that works from text prompts.
Some key pointers for building an effective LinkedIn presence for your brand.
An overview of all the key events happening throughout the year.Β
Darktable is an open-source alternative to Adobe Lightroom. The latest release brings capture sharpening to the demosaic module to recover detail lost to in-camera blur, alongside a new AgX-based tone mapper inspired by Blender with film-like highlight roll-off and deeper control over contrast and exposure.

Generative AI is everywhere right now. It dominates conference agendas, fills LinkedIn feeds, and is reshaping how many businesses think about organic search.Β
Brands are racing to optimize for AI Overviews, build vector embeddings, map semantic clusters, and rework content models around LLMs.
What gets far less attention is a basic reality: for most websites, AI platforms still drive a small share of overall traffic.Β
AI search is growing, no question.Β
But in most cases, total referral sessions from all LLM platforms combined amount to only about 2% to 3% of the organic traffic Google alone delivers.

Despite that gap, many teams are spending more time chasing AI strategies than fixing simple, high-impact SEO fundamentals that continue to drive measurable results.Β
Instead of improving what matters most today, they are overinvesting in the future while underperforming in the present.
This article examines how a narrow focus on AI can obscure proven SEO tactics and highlights practical examples and real-world data showing how those fundamentals still move the needle today.
In an era where everyone is obsessed with things like vector embeddings and semantic relationships, itβs easy to forget that small updates can have a big impact.Β
For example, title tags are still one of the simplest and most effective SEO levers to pull.Β
And they are often one of the on-page elements that most websites get wrong, either by targeting the wrong keywords, not including variations, or targeting nothing at all.
Just a few weeks ago, a client saw a win by simply adding β& [keyword]β to the existing title tag on their homepage. Nothing else was changed.
Keyword rankings shot up, as did clicks and impressions for queries containing that keyword.


This was all achieved simply by changing the title tag on one page.Β
Couple that with other tactics, such as on-page copy edits, internal linking, and backlinking across multiple pages, and growth will continue.Β
It may seem basic, but it still works.Β
And if you only focus on advanced GEO strategies, you may overlook simple tactics that provide immediate, observable impact.Β
Another tactic that has faded from view with the rise of AI is whatβs often called the skyscraper technique.Β
It involves identifying a set of keywords and the pages that already rank for them, then publishing a materially stronger version designed to outperform the existing results.
Itβs true that the web is saturated with content on similar topics, especially for keywords visible in most research tools.
But when a site has sufficient authority, a clear right to win, and content freshness, this approach can still be highly effective.
Iβve seen this work repeatedly.Β
Hereβs Google Search Console data from a recent article we published for a client on a popular, long-standing topic with many competing pages already ranking.Β
The post climbed to No. 2 almost immediately and began generating net-new clicks and impressions.

Why did it work?Β
The site has strong authority, and much of the content ranking ahead of it was outdated and stale.
If youβre hesitant to publish the thousandth article on an established topic, that hesitation is understandable.Β
This approach wonβt work for every site. But ignoring it entirely can mean passing up clear, high-confidence wins like these.
Hype around AI-driven shopping experiences has led some teams to believe traditional website optimization is becoming obsolete.Β
There is a growing assumption that AI assistants will soon handle most interactions or that users will convert directly within AI platforms without ever reaching a website.
Some of that future is beginning to take shape, particularly for ecommerce brands experimenting with features like Instant Checkout in ChatGPT.Β
But many websites are not selling products.Β
And even for those that are, most brands still receive a significant volume of traffic from traditional search and continue to rely on calls to action and on-page signals to drive conversions.
It also makes little difference how a user arrives β via organic search, paid search, AI referrals, or direct visits.Β
A fast site, a strong user experience, and a clear conversion funnel remain essential.
There are also clear performance gains tied to optimizing these elements.Β
Here are the results we recently achieved for a client following a simple CTR test:

Brands that continue to invest in user experience and conversion rate optimization will outperform those that do not.Β
That gap is likely to widen the longer teams wait for AI to fully replace the conversion funnel.
There is no dispute that AI is reshaping the search landscape.Β
Itβs changing user behavior, influencing SERPs, and complicating attribution models.Β
The bigger risk for many businesses, however, is not underestimating AI but overcorrecting for it.
Traditional organic search remains the primary traffic source for most websites, and SEO fundamentals still deliver when executed well.Β
These are just a few examples of tactics that remain effective today.
Importantly, these efforts do not operate in isolation.Β
Improving a websiteβs fundamentals can strengthen organic visibility while also supporting paid search performance and LLM visibility.
Staying informed about AI developments and planning for whatβs ahead is essential.Β
It should not come at the expense of the strategies that are currently driving measurable growth.
The post AIβs safety net relies on chain-of-thought monitorability appeared first on StartupHub.ai.
Monitoring an AI modelβs internal chain-of-thought is substantially more effective for detecting misbehavior than monitoring its final actions or outputs alone.
The post AIβs safety net relies on chain-of-thought monitorability appeared first on StartupHub.ai.
Google appears to be rolling out the Performance Max Channel Performance report at the MCC level, giving agencies and large advertisers a long-awaited view of channel-level performance across multiple accounts.
Whatβs new: The Channel Performance report, previously limited to individual accounts, is now surfacing in some manager (MCC) accounts. Google had previously confirmed the feature was coming, but this marks one of the first confirmed sightings in live environments.

Why we care. MCC-level visibility allows agencies to analyze how Performance Max allocates spend and drives results across channelsβSearch, Display, YouTube, Discover, Gmail, and Shoppingβwithout logging into each account individually. Thatβs a major efficiency gain for teams managing large portfolios.
What to watch. When and how quickly the feature becomes available across all MCCs, and whether Google expands the report with deeper metrics or export options.
First seen. This update was first picked up by head of Ecommerce Insights at Smarter Ecommerce, Mike Ryan, who very recently published a guide on How to use Googleβs Channel Performance reports.
Bottom line. MCC-level Channel Performance reporting signals another step toward making Performance Max less of a black boxβespecially for agencies that need cross-account insight at scale.
In 2025, Google is removing reviews at unprecedented rates β and it is not accidental.
Our industry analysis of 60,000 Google Business Profiles shows that deletions are being driven by a mix of:
Together, these forces have significant implications for businesses and local search visibility.

Data collected from tens of thousands of Google Business Profile listings across multiple countries by GMBapi.com show a sharp increase in deleted reviews between January and July 2025.Β
The surge began accelerating toward the end of Q1 and gained momentum mid-year, with a growing share of monitored locations experiencing at least one review removal in a given week.
This is not limited to negative feedback.Β
While one-star reviews continue to be taken down, five-star reviews now account for a sizable share of deletions.Β
That pattern suggests Google is applying stricter enforcement, including on positive reviews, as it works to maintain authenticity and trust.Β
More recently, Google has begun asking members of its Local Guide community whether businesses are incentivizing reviews, likely in response to AI-driven flags for suspicious activity.
Dig deeper: Googleβs review deletions: Why 5-star reviews are disappearing
Review deletion patterns vary significantly by business category.
Restaurants account for the highest volume of deleted reviews, followed by home services, brick-and-mortar retail, and construction.Β
These categories generate large volumes of reviews, and removals occur across both recent and older submissions.Β
That distribution points to ongoing enforcement, not isolated cleanup efforts.
By contrast, medical services, beauty, and professional services see fewer deletions overall.Β
However, closer analysis reveals distinct and consistent patterns within those categories.

Looking at deleted reviews as a share of total removals within each category reveals distinct moderation patterns.
In restaurants and general retail, deleted reviews are relatively evenly distributed across one- to five-star ratings.Β
By contrast, medical services and home services show a strong skew toward five-star review deletions, with far fewer removals in the middle of the rating spectrum.Β
That imbalance suggests positive reviews in higher-risk or regulated categories face closer scrutiny, likely tied to concerns around trust, safety, and compliance.
These differences do not appear to stem from manual, category-specific policy decisions.Β
Instead, they reflect how Googleβs automated systems adjust enforcement based on perceived industry risk.
Dig deeper: 7 local SEO wins you get from keyword-rich Google reviews
The age of a review plays a significant role in when it is removed.
In medical and home services, a large share of deleted reviews disappear within the first six months after posting.Β
That timing points to early intervention by automated systems evaluating language, reviewer behavior, and other risk signals.
Restaurants and brick-and-mortar retail show a different pattern.Β
Many deleted reviews in these categories are more than two years old, suggesting retroactive enforcement as detection systems improve or new suspicious patterns emerge.Β
It may also reflect efforts to refresh older review profiles.
For businesses, this means reviews can disappear long after they are posted, often without warning.
Industry alone does not tell the full story. Location matters.

In English-speaking markets such as the U.S., UK, Canada, and Australia, deleted reviews skew heavily toward five-star ratings.Β
That trend aligns with increased AI-driven moderation aimed at reducing review spam and incentivized positive feedback.
Germany stands apart.Β
Analysis of thousands of German business listings shows a higher share of deleted reviews are low-rated, and most are removed within weeks of posting.Β
This pattern aligns with Germanyβs strict defamation laws, which permit businesses to legally challenge negative reviews and require platforms to take prompt action upon notification.
In short:
The rise in review deletions creates two primary challenges.
For SEO practitioners, small businesses, and multi-location brands, review monitoring is no longer optional.Β
Understanding when, where, and which reviews are removed is now as important as generating them.
Dig deeper: Why Google reviews will power up your local SEO
Three developments are shaping review visibility:
As moderation becomes more automated and more influenced by local law, sentiment alone will not guarantee review visibility.Β
In local SEO, reviews β especially recent ones with detailed context β remain a critical authority signal for both users and search engines.
Staying ahead now means not only collecting new reviews, but also closely tracking and understanding removals.Β
Reputation management increasingly requires attention on both fronts.
A PC case with βAniMe Holoβ Holographic screen technology? ASUS has started to tease its upcoming ROG G1000 PC case, which is due to be unveiled at CES 2026. On January 5th, PC gamers will be able to see ASUSβ newest ROG PC case, which ASUS claims is βspinning at the heartβ of. The teaser [β¦]
The post ASUS teases ROG G1000 PC case with Holographic Screen Tech appeared first on OC3D.
US Government adds ASUSβ Live Update software to its βKnown Exploited Vulnerabilities Catalogβ The US governmentβs Cybersecurity and Infrastructure Security Agency (CISA) has added ASUSβ Live Update software to its βKnown Exploited Vulnerabilities Catalogβ over seven years after the vulnerability was uncovered. This is because the agency now believes that the vulnerability is being actively [β¦]
The post Uninstall ASUS Live Update Immediately appeared first on OC3D.
Computer scientists at Cambridge University deployed the first ever webcam in 1991.