Stock Expert AI is a financial intelligence platform with dual-engine AI forecasting that combines technical models with Facebook Prophet's seasonality detection for predictions on over 6,000 stocks. Its Moon AI chat assistant delivers live charts, prediction overlays, analyst consensus, and a proprietary Moon Score in one confidence rating.
Ask anything about a stock in the War Room and get rich, interactive widgets, not just text. From sector heatmaps to portfolio scoring, it brings hedge-fund-level insight to retail investors.
The Weekly Byte delivers a Monday email summarizing your competitors' funding, launches, hires, and partnerships, plus a web dashboard for market-wide trends and company timelines. It pulls signals from news, blogs, job boards, social channels, and product updates and synthesizes them into fast, scannable briefs. Replace the hour you spend Googling competitors every week. Pick companies to track, organize them into competitive sets, and get AI-generated landscape summaries, filters, and full profiles. Free for up to 3 companies, or upgrade to Core for $5/month for sets and AI summaries.
AMD LLVM patch unveils HUGE improvement for RDNA 5 graphics cards A new LLVM patch from AMD for its gfx1310 (RDNA 5) graphics architecture has unveiled some of the secret sauce behind AMDβs next-generation graphics cards. Through a feature called βDual Issueβ, two operations can be completed during a single clock cycle, doubling the performance [β¦]
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HandBrake is one of the most popular free video tools around, offering a powerful way to convert and compress video files. The open-source transcoder supports Windows, macOS, and Linux and can convert almost any video format into widely compatible codecs like H.264, H.265, AV1, MP4, or MKV.
PromptBrake tests LLM endpoints using 60+ attack prompts across 12 security checks. It identifies prompt injection, data leaks, tool misuse, and policy bypasses, then provides clear pass/warn/fail results with evidence so teams can resolve issues quickly. It is compatible with OpenAI, Claude, and Gemini APIs, and integrates into CI/CD processes before release.
Zorpa automates your social content pipeline by generating images, writing platform-optimized captions, and scheduling and posting across multiple accounts from one dashboard. It includes 50+ AI Studio templates with face consistency, an 8-platform caption writer, a content calendar, and a daily review process to ensure nothing posts without approval. Choose BYOK for low cost or managed credits with features like Autopilot, Competitor Spy, multi-account management, Ghost Mode, DMCA protection, CRM, campaigns, and a 24/7 DM chatbot.
Postmarkr lets you send physical USPS mail from your computer. Upload a PDF, enter a recipient address validated against USPS, choose your mail class, and we handle printing, enveloping, and postage. Real-time USPS tracking is included for every piece.
Built for small businesses, law firms, and healthcare providers who need to send letters, certified mail, or priority mail without the post office. Pay per piece starting at $1.50 β no subscriptions or monthly fees.
AMD's upcoming FSR 4.1 update promises clearer detail and less motion blur. We tested the new upscaler against FSR 4 and Nvidia's DLSS 4.5 to see how much image quality has improved.
YaadBooks is an all-in-one business operating system built for Jamaica that keeps your business running even without internet. It unifies accounting, POS, payroll, inventory, bank reconciliation, and TAJ-ready reporting, with JMD as the default currency and multi-currency support. You can add industry modules for retail, restaurants, and salons to manage loyalty, tables, or appointments, all syncing automatically after outages. Higher tiers offer unlimited users and an employee PIN portal to keep teams moving offline, while an AI assistant delivers insights and local tax guidance.
One API for all documents your AI agents need
Kapitol.ai tracks, scores, and analyzes Congressional stock trades in real time, allowing you to follow high-conviction moves with clear context. It monitors all 535 members, ingests STOCK Act filings, and rates each trade by committee influence, position size, timing, and sector relevance. Subscribers receive instant email alerts, live P&L tracking, and insider score ratings, helping them turn public disclosures into actionable investment intelligence.
ContentForge repurposes long-form content into publish-ready posts for LinkedIn, X, email, Instagram, Threads, Facebook, ad copy, and blog outlines. Paste a blog, transcript, or notes, pick platforms, and get native tone, length, and structure in under a minute. Built for B2B creators, founders, and marketing teams, it cuts drafting time by 80%, supports tone options, and offers plans from free to business with brand voice training, bulk processing, API access, and team accounts.
askt is a private journaling app that gives you one thoughtful question each day and invites you to answer it. Write as much as you like, tag your mood, and return later to reflect on patterns and year-over-year growth. Entries save automatically and use end-to-end encryption, so only you can read them. Itβs ad-free, not social, and collects no email. Start with a passkeyβno passwords or credit card requiredβand build a daily practice that sticks.
SingleArm helps you learn from real-world health experiences by tracking changes over time. You set a baseline, observe changes, and reflect on outcomes with clarity and transparency, allowing you to understand what works for you while respecting your data and boundaries. It is for learning, not medical advice.
AI-powered reading, 100% on your device
Every article summarized in one short paragraph.
Offline water tracker with a private AI hydration coach
The only complete security platform for OpenClaw AI agents
The AI creative platform to bring your content to life
Dynamic Island experience for Mac with apps & notifications
File-based memory for OpenClaw with >92% retrieval accuracy
Speak human - Where every word finds its way home
AI Agents coming to the best scheduling tool
Your entire morning in one tab.
Modern screen recordings for Windows, made simple.
CLI for Google Workspace ecosystem built for humans & agents
One-step Japanese Document Processing Engine
Revive gets back lost MRR with smart payment retries and win-back campaigns. Connect Stripe, Lemon Squeezy, Gumroad, Paddle, or Polar.sh via read-only OAuth and start recovering in minutes. Its engine analyzes decline codes to time retries, sends high-converting dunning emails with one-click card updates, and re-engages canceled users at 7, 14, and 30 days. You can track recovered revenue in a real-time dashboard and pay a flat $49 per month with no revenue share.
Epic Scout is a ruthless AI job filter for freelance developers and designers. Instead of losing 20% to Upwork or scrolling through irrelevant posts, our AI does the hunting. It sweeps remote job boards every two hours, eliminates junk listings, and emails you only the high-ticket, direct-client contracts that match your specific skills and hourly rate. You apply first, deal directly with the client, and keep 100% of your money.
Lead-Centric is a white-label client portal platform designed for marketing agencies. It addresses the main reason agencies lose clients: lack of visibility. Each client receives their own branded portal where they can view every lead, every follow-up, and every deal in real time. No more 'what am I paying you for?' calls or spreadsheet reports. Clients feel informed, involved, and confident that their money is working. This allows you to keep more clients longer while spending less time proving your value.
Gigflow is a gig management app for UK freelance singers, musicians, and DJs. After every gig, most performers are stuck updating spreadsheets, guessing mileage, and chasing payments across multiple agencies. Gigflow handles all of this from your phone by auto-calculating commissions, logging HMRC-compliant mileage, generating invoices, and tracking what you're owed. It exports tax-year reports, so you're ready for self-assessment and Making Tax Digital without the admin chaos.
mvntSTUDIO is a dance generation playground that turns any song into production-ready dance animation. From TikTok challenges to K-pop choreographies, visualize your imagination with dance. Built by a team that received an Epic MegaGrant, drop your banger and get the choreo. The vibe dancing era is here!
HireFlow delivers realistic AI mock interviews tailored to your job description, CV, and role. It adapts questions in real time, runs voice or text sessions, and grades each answer with clear feedback and scores. Use detailed reports, coaching, and multilingual support to target weak areas and build confidence before the real interview. You can practice for any role, track your progress, and rely on GDPR-compliant privacy controls.
CertSim helps you pass IT certification exams with AI-driven practice tests and analytics. It delivers expert-validated questions for AWS, Azure, GCP, and more, with instant explanations, real-time translation, and timed simulations that mirror the real exam. You can track strengths and weaknesses on a dashboard, set a target date, and study on any device with continuously updated content.
Rogue Traders broadcasts a fully operational trading floor in real time. Subscribers watch experienced traders run live books across assets, debate setups, and manage risk with no scripts or hindsight. You get live execution, cross-asset signal alignment, inflection analysis, desk notes, and portfolio-level perspective, delivered with the raw culture of prop floors. This is immersive access to how professionals think and act, not a course or copy-trading.
ChatWithDr is a digital health platform delivering 24/7 asynchronous telehealth consultations across all 50 U.S. states. Patients submit a secure online medical intake, and licensed physicians review each case to provide medical guidance, treatment recommendations, and prescriptions when appropriate. Designed to improve healthcare accessibility, ChatWithDr eliminates scheduling barriers by offering flat-rate pricing and text-based care without requiring video visits or insurance. The HIPAA-compliant platform focuses on common urgent care and primary care conditions while enabling scalable access to timely medical care nationwide.
VidShift is a free in-browser video and audio converter that runs entirely on your device using WebAssembly and WebCodecs. You can convert between MP4, WebM, MKV, MOV, and export audio as MP3, AAC, WAV, FLAC, or OGG with no uploads, watermarks, or file size limits. You can choose quality and resolution, trim, rotate, mute, change speed, compress files, or batch convert multiple videos. After the initial load, it works offline, keeping your media private while delivering fast conversions.
Verve is a video-only dating app launching exclusively in Washington, DC. It eliminates bios, photos, and endless texting. Users can browse short, authentic video profiles and, upon matching, choose to start a live or scheduled video call or go straight to an in-person date. Optional, slightly unhinged prompts, inspired by Cards Against Humanity, help enhance profile videos and live connections. This app is designed for people who confidently engage in person and are less concerned about superficial details. We are launching in DC first, focusing on a small, curated audience while we build a platform worth scaling.
qtrl is a QA platform that unifies test management, automation, and AI-driven execution so teams can scale quality without losing oversight. It supports autonomous QA agents with browser execution, centralized test cases with full traceability, and progressive automation that you can review and approve at every step.
qtrl integrates with requirements, runs across multiple environments with secure secrets, and builds adaptive memory to perform smarter testing. It embeds governance, permissioned autonomy, and auditability for enterprise needs.
NUROSPICY is a meal planning web app that deals you dinner like a card game. With one button, you receive a hand of recipes, can reroll what you don't like, and get a combined shopping list grouped by aisle, a step-by-step cooking plan, and hands-free cooking mode. There's no sign-up required, no browsing, and no decisions to make. It's designed for neurodivergent people who love to eat but dislike cooking.
Packaging Template Generator is a browser-based tool that lets brands and designers create production-ready templates for custom pouches and flexible packaging without using CAD software. Users enter dimensions and select features like gussets or zippers, and the template updates instantly with a live preview.
The generator produces accurate dielines that can be downloaded and used for printing, helping small brands and product makers design packaging faster without hiring a packaging engineer or designer. It is designed for food, supplements, cosmetics, and other products that use custom pouch packaging.
Athel AI builds precision automation for healthcare that streamlines hospital workflows, accelerates compliance tasks, and reduces manual bottlenecks. Its intelligent assistants manage intake, scheduling, communication, and document summarization while delivering real-time insights. The platform integrates securely, meets HIPAA, PHIPA, and PIPEDA standards, and stores data in Canada.
Like Jira but for indie devs and AI agents
Make any browser agentic and automate workflows
Let your code create and manage AI Agents (OpenSource)
Memflect turns personal memories into 5-minute AI-voiced audio reflections. Share a memory, choose a soundscape, and record a short voice sample for cloning to receive a cinematic audio piece that sounds like a movie about your life.
Built for anyone going through somethingβbreakups, loss, starting over, or just wanting to process what matters. It also works as a gift: record a heartfelt message for someone you love, delivered in your own voice with cinematic music. One-time purchase of $3.99. No subscriptions or accounts are required to try.
Voice-Powered AI Agent That Turns Voice Into Done Tasks
Language learning, one story at a time
From Curiosity to Mastery: Socrates-Powered Learning
Your estimations, frictionless
Your own OpenClaw instance for $3.99/mo
Stop burning money keeping your startup online
Watch multiple AI models redesign your website side-by-side
AI agent that root-causes engineering alerts
Mix, match, and create stunning consistent campaign visuals
Grandpaβs stories, preserved for his grandkids
I'm excited to announce that later this year, we will bring Gaming Copilot to the current-generation consoles, and we will continue to bring it to more services that players are playing.
Promise Flow helps YouTube creators track promises made to their audience and follow through when engagement goals are reached. Build trust, never miss a promised follow-up, and keep your content commitments organized in one place.
Design System 3 by Sigma is a pro Figma design system and UI Kit with carefully crafted components and detailed documentation to build stunning products and communicate design language seamlessly among teams.
APIPod unifies access to over 100 AI models across text, image, video, and audio through a single OpenAI-compatible API. It handles routing, retries, and circuit-breaker protection, and provides real-time logs, token and cost analytics, and centralized governance so you can ship faster and control spend. With multi-channel routing, low global latency, and 99.99% uptime, APIPod supports everything from chatbots and content pipelines to enterprise AI gateways.
Gruntled helps you navigate the job search through manageable, personalized steps that build skills and resilience. It guides you to practice a healthy mindset, develop practical job search tactics, and relieve stress so you can move forward with confidence.
ReditX is an AI-powered platform for instant image and video generation. It turns simple prompts into high-quality visuals with text-to-image, text-to-video, and image-to-video workflows, along with avatar video creation and advanced image enhancement. Creators and businesses can produce cinematic results quickly and manage output with coin-based plans across starter to enterprise tiers. Based in India and available worldwide, ReditX streamlines content production from idea to export.
Getaway Glow AI is a group travel planning tool made for women who are tired of being the unpaid travel agent for every trip. Before any bookings, the organizer sends an anonymous preference survey to the group, letting each person share their real budget, dietary needs, and activity preferences privately without fear of being singled out. The free tier handles surveys and the alignment report. For $39 per trip, the AI uses that data to generate custom itinerary options with destination recommendations and budget breakdowns based on what your group wants. The group then gets access to a trip planning dashboard for collaboration.
PS6 VS Next-Gen Xbox β Which console has the strongest specifications? The next generation of consoles is coming. Both Sony and Microsoft have started teasing whatβs coming next. Specifications for Sonyβs PlayStation 6 βOrionβ silicon and Microsoftβs Xbox βProject Helixβ (Magnus) chips have leaked. That means we can compare both systems early. Whatβs worth noting [β¦]
The post PlayStation 6 VS Xbox Next (Project Helix) β Leaked Specifications Compared appeared first on OC3D.
Chloe Varnfield, a digital marketing specialist at Atelier Studios with nearly eight years in PPC, joined me to share the mistakes that shaped her career β and the lessons every advertiser should take from them.
Chloeβs first story centers on Googleβs account-level automated assets setting β a feature so well hidden that many advertisers donβt know it exists until a client sends a screenshot asking why their headline looks completely wrong. The setting, buried behind a three-dot menu, defaults to βonβ, meaning Google can automatically generate and serve headlines advertisers never wrote or approved. The takeaway: always audit your account-level settings, and treat every Google update as a potential default youβll need to turn off.
A client asked Chloe to narrow their campaignβs location targeting mid-call. She made the change quickly β and accidentally excluded the UK entirely while targeting only the desired regions. Campaigns stopped delivering. It took three days of head-scratching before she audited the full campaign and found the culprit. The lesson she now swears by: never make significant changes on a Friday, and when something stops working, go straight to a full audit rather than waiting for the algorithm to βfix itself.β
Chloeβs most costly story involves a campaign that was performing at its best in years. A Google rep recommended switching bid strategy from Maximise Conversions to Maximise Conversion Value. She made the switch β and performance collapsed. For small to medium-sized businesses that already struggle to hit the conversion volume thresholds needed for smart bidding to work effectively, changing bid strategy is a high-stakes decision that shouldnβt be made on the spot. It took two months to recover, with the pressure of a major seasonal sale looming. She fixed it β but the lesson stuck: donβt let enthusiasm or a repβs insistence override your judgment. Sit on big decisions. Trust your gut.
When auditing inherited accounts, Chloe consistently sees the same three problems: broken or absent conversion tracking (sometimes still pulling from Universal Analytics), broad match applied to brand campaigns β which makes it impossible to know whether results are genuinely driven by non-brand keywords β and accounts with zero negative keywords. These arenβt minor structural issues. They directly distort performance data and waste budget.
Across all three of her own stories, Chloeβs client relationships survived because she communicated transparently β explaining what had gone wrong, what she was doing to fix it, and what the next step would be if that didnβt work. Her advice to anyone mid-crisis: breathe, be kind to yourself, stay calm, and remember that no one has died. The ability to fix problems under pressure is what builds expertise β and fixing something difficult often becomes your proudest professional moment.
On AI, Chloe is clear: using it to generate ad copy or proposals without reviewing or editing the output is lazy and obvious. AI should make you faster, not replace your judgment. Always put your own voice and review back into whatever it produces.
Hitched uses AI to help couples plan unforgettable honeymoons, bachelor or bachelorette trips, mini-moons, anniversaries, and romantic getaways. Start by choosing your trip type, then get matched with a dedicated travel advisor who listens to your goals and creates a personalized plan. They support you from ideas to booking, offering stress-free planning and tailored recommendations for your celebration.
MeetingRecorder is a native macOS app that records any meeting β Zoom, Teams, Meet, Slack β without adding bots to your calls. It captures both microphone and system audio locally on your Mac, then transcribes and summarizes with one click. It offers unlimited recordings and 20 free transcriptions per month. No accounts, no cloud storage, and no data sold.
Nvidia improves its G-Sync Pulsar tech with optimised sub-90 FPS performance and a dedicated 60 Hz mode Nvidia has officially released firmware version 1.1.4 for its G-Sync Pulsar displays, supporting models from Acer, AOC, ASUS, and MSI. According to this firmwareβs release notes, this update improves the performance of Nvidiaβs monitors when operating at a [β¦]
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Langulife is the language practice app for "post-beginners+" (A2βC1) who have the basics but struggle to bridge the gap to actual usage. We scrap the gamification trap of streaks and badges to focus on the absolute priority: your ability to express yourself. This is for the learner who is tired of playing games and ready to start communicating.
Instead of translating generic scripts, you engage with prompts that demand original thoughtβthe discussions you actually have in a boardroom or a bar. Express your perspective via voice and text, compare your answers with the community, and connect with language partners. Stop memorizing scripts. Start articulating what you think.
SerpApi is asking a federal court to dismiss Redditβs lawsuit over alleged scraping of Reddit content from Google Search, saying Reddit is trying to use copyright law to control user posts and public search results.
SerpApiβs argument. SerpApi CEO Julien Khaleghy, in a blog post today, argued the lawsuit fails for several reasons:
DMCA. Khaleghy said Reddit claims SerpApi violated the Digital Millennium Copyright Act (DMCA) by circumventing technical protections. SerpApi disputes that claim, saying it retrieves the same search results visible to anyone who enters a query in Google. Khaleghy argued that:
Catch up quick. Legal fights over search scraping and AI data have intensified in recent months:
Why we care. The case tests whether companies can extract information from Googleβs search results without violating copyright or the DMCA. The outcome could affect SEO tools and AI training data.
Whatβs next. The court must decide whether Redditβs amended complaint can proceed. If the judge dismisses the case with prejudice, Redditβs claims against SerpApi in this lawsuit would end.
SerpApiβs blog post. Redditβs Lawsuit is a Dangerous Attempt to Expand Platform Power
The Iran war isnβt just affecting oil prices; it could harshly impact the semiconductor industry long-term When Israel and the United States of America attacked Iran, the first thing that analysts focused on was how this would impact the price of oil and natural gas. Iran has the power to effectively close the Strait of [β¦]
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PortfolioTrackr is a clean, fast portfolio tracker built for serious investors. Track stocks across major global exchanges, crypto (BTC, ETH, and thousands of coins), and commodities like gold, silver, and oil, all with live prices in one dashboard. Set price targets (T1, T2) and stop losses on every position. Monitor your total P&L, per-position performance, and dividend income. Get price alerts delivered via email, Telegram, or WhatsApp the moment your targets are hit. No app to install. Works on any device. Free 3-day trial, then Starter at $9/month or Pro at $19/month with a Lifetime plan available.
Adverse lets you own and control digital ad spaces. Buy an Ad Space once, embed it anywhere, decide who can advertise, what appears, and what to charge while keeping 90% of the revenue. Approvals happen with a click, and smart contracts automate display and payouts. Scale layouts to fit your design, combine spaces, and choose ads that match your audience. Adverse runs privacy-first with no cookies or trackers, giving publishers creative freedom, transparency, and fair monetization.
An overview of how Google Earth AI is supporting the global health communityβs work to predict outbreaks and deliver proactive care.The days of building campaigns around long lists of keywords are fading. Today, AI-powered Google campaigns and features like Performance Max (PMax) and AI Max are changing the rules.
These keywordless campaigns lean on automation, audience signals, and machine learning to find new opportunities, often faster and at greater scale than humans can.
At SMX Next, three PPC pros β Nikki Kuhlman, VP of search at Jumpfly; Brad Geddes, founder of Adalysis; and Christine Zirnheld, director of lead gen at Cypress North β explained where PMax and AI Max fit into your broader campaign strategy, where humans still make the difference, and how to strike the right balance between automation and control.
AI Max for Search is not a new campaign type. Itβs a one-click opt-in setting within existing Search campaigns.
Without requiring you to switch to broad match, it expands your keywords β similar to broad match or Dynamic Search Ads β using your landing pages and other site assets. It then personalizes the ad copy and landing page the searcher sees.
In the old setup, you might have used a keyword like βskincare for dry sensitive skinβ that sent users to a moisturizer page with generic ad copy because you couldnβt capture every variation. With Googleβs current matching, a specific ad group no longer guarantees that keyword will trigger that ad group.
AI Max for Search addresses this by generating ad copy based on the search query, making it more relevant and directing users to a landing page that better matches their needs.
One area where AI Max for Search is seeing success beyond the norm is blog content. While DSA campaigns traditionally excluded blogs, AI Max for Search can now serve blogs as landing pagesβand theyβre converting. The key is that these blogs guide readers to specific products, not just general content.
The generated headlines are compelling and longer than what traditional RSAs allow, creating a more engaging user experience.
Do:
Donβt:
Week 1: Pick a search campaign to test (brand with brand inclusion, with budget capability, needing more volume). Review landing page URLs and add inclusions or exclusions.
Week 2: Review search queries and add negatives.
Week 3: Continue optimization and turn off AI Max at the ad group level as needed.
Experiment checklist:
A comprehensive study analyzing over 16,000 campaigns revealed surprising insights about match type performance across different bidding strategies.
Max Conversion strategies (Max Conversions, Max Conversion Value):
Most campaigns using max bid strategies have under 30 conversions per month, giving machines limited data to work with. The findings:
Recommendation: Start with exact match, then skip phrase match entirely and layer in broad match if you have more budget to spend.
Target Bid Strategies (Target CPA, Target ROAS):
Most campaigns using these strategies have over 30 conversions per month, with many at 50 or 100+, giving machines substantially more data. The findings:
Recommendation: Start with exact match, layer in phrase match with more budget, then add broad match if additional budget is available.
Why does phrase match perform poorly with limited data but better with more data?
Broad match uses additional signals, particularly previous search queries, to determine bids. When conversion data is limited (under 30 conversions monthly), broad matchβs ability to leverage previous search history makes it much stronger than phrase match.
However, with sufficient data (50β100+ conversions), Google can properly match phrase match keywords using machine-learning pattern matching.
When you combine brand and non-brand data, exact match becomes even more powerful, delivering significantly higher click-through rates, higher conversion rates, lower CPAs, and much higher return on ad spend. Thatβs why segmenting keywords by brand and non-brand is crucial when determining your match type strategy.
For ecommerce companies, broad match (and sometimes phrase match) can produce higher average order values than exact match. When someone searches for a specific product, and you carry that exact item, conversion rates are high, but theyβre usually buying a single product with a lower checkout value.
When shoppers havenβt decided on a product, they tend to match broader keywords and build larger carts β resulting in lower conversion rates but higher order values.
Thereβs a common misconception that Performance Max only works for ecommerce and is too difficult for lead generation. That couldnβt be further from the truth.
The biggest mistake you can makeβone you should avoid entirelyβis optimizing campaigns for form submissions alone. If you treat every form submission as your campaign goal, youβll end up with spammy submissions and frustrated sales teams.
The solution: integrate your Google Ads account with your CRM and import bottom-of-funnel leadsβsales-qualified leads (SQLs), marketing-qualified leads (MQLs), opportunities, or even customers if the sales cycle is short.
When you tell Google Ads what you actually want and set it as your campaign goal, Performance Max can cast a wide net while still bringing in qualified prospects.
Performance Max has significantly more controls now than at launch, making it viable for highly regulated industries:
One of the most underutilized levers for B2B and regulated industries is device control, introduced at the beginning of 2025. You can turn off any device from your Performance Max campaign.
A B2B SaaS example demonstrates the impact: Before device segmentation in January, the account had 224 SQLs from desktop at an acceptable CPA, but 33 from mobile at $319 CPA (above goal). After creating separate mobile campaigns with more aggressive target CPAs, they achieved 190 desktop SQLs and 37 mobile SQLs in a shorter month, with mobile CPA dropping to $204 and overall Performance Max CPA declining from $238 to $204.
Despite lower conversion rates from Performance Max compared to search campaigns (due to broader reach), the results speak for themselves. In September 2025, one B2B SaaS account achieved:
Performance Max cast a wider net with cheaper CPCs, bringing in not just more leads but more sales-qualified leads at a lower cost.
How they did it:
AI Max for Search brings the power of Performance Max to the search network, where bottom-of-funnel intent is strongest. This is especially valuable for lead generation accounts that spend on other networks in Performance Max but donβt generate leads from them.
A higher education financial client (loan products) showed promising early results:
Approved applications (primary KPI):
AI Max brought in qualified leads cheaper despite the highly competitive keyword environment.
Beyond the initial conversion action (soft credit check), AI Max showed superior performance throughout the funnel:
AI Max isnβt just bringing more qualified prospects at the topβlead quality remains higher throughout the entire funnel.
How they did it:
PPC success requires embracing AI-driven campaigns while maintaining strategic human oversight. Whether you use AI Max for Search, Performance Max for lead generation, or adjust match types based on bidding methods and data volume, the key is understanding how these tools work and applying best practices aligned with your business goals.
The data is clear: exact match remains powerful across scenarios, but phrase and broad match perform differently depending on bidding strategy and data volume. For lead generation, the game changer is optimizing for true bottom-of-funnel conversions rather than form submissions, combined with strategic device controls and proper campaign segmentation.
The future of PPC depends on knowing when β and how β to apply automation and control for maximum impact.
Automatic Super Resolution to come to the ROG Xbox Ally X next month At GDC 2026, Microsoft has confirmed that Automatic Super Resolution (Auto SR) is coming to the ROG Xbox Ally X in April. This is a Windows-level upscaling solution designed to improve the image quality of games when rendering at a sub-native resolution. [β¦]
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A recent Harvard Business Review piece echoes the shift weβre sseeing in the SEO industry: at a macro level, LLMs and Googleβs AI-powered SERP features, such as AI Overviews, arenβt just creating a zero-click environment, but also changing user journeys and behavior.
Theyβre collapsing what used to be multi-touch customer journeys into a single synthesized answer.
For a more visual and emphatic metaphor, the monolith of βSearchβ is crumbling.
When that happens, brands lose many of the touchpoints they once owned, and your marketing strategy must change accordingly. HBR captures this moment well, arguing that marketing now has a new audience and that algorithms increasingly shape first impressions.
That said, while the article points in the right direction on the broader trend, its tactical advice is generic and falls back on shallow tactics.
Much of the guidance returns to familiar marketing playbook ideas that sound strategic and innovative but lack real operational depth. That gap matters for the longevity and sustainability of visibility.
The narrative may be easy for you to understand and repeat at the executive level, but it glosses over the deeper structural changes you must actually make to adapt to the new search ecosystem.
The HBR article centers on schema, authorship signals, and branded concepts. These recommendations risk becoming what I call βflock tactics.β
These ideas spread quickly because theyβre easy to explain, but they offer little lasting competitive advantage once everyone adopts them.
Schema has been one of the most debated topics in LLM and AI optimization. Microsoft Bing confirmed it uses schema for its LLMs, but the relationship between Googleβs models and third-party LLMs isnβt as straightforward.
While it isnβt necessarily wrong to recommend schema as part of your overall search optimization activities (SEO and AI), positioning it as a table-stakes tactic ignores diminishing returns once competitors implement similar markup and it becomes standard.
Another gap is the role of external knowledge systems, such as Wikidata or authoritative publishers. Much of the information LLMs rely on comes from those sources rather than a single companyβs website.
This is less linear to understand, explain, and demonstrate as a single line item on an activity tracker, but these are nuances you now have to deal with, whether you like it or not.
Whatβs also missing is any exploration β or even a nod β to how models ingest and prioritize structured data compared with the many unstructured signals they rely on.
The SEO toolkit you know, plus the AI visibility data you need.
Attaching the names, credentials, and biographies of real experts follows familiar E-E-A-T logic and represents reasonable hygiene.
The problem is that the treatment remains superficial. It risks pushing you to focus on cosmetic signals such as bios, headshots, and credential lists without strengthening the underlying expertise pipeline.
There is a meaningful difference between placing an author bio on a page and cultivating a genuine expert entity whose work appears in conferences, third-party publications, standards committees, or academic collaborations.
Only the latter produces signals that models are more likely to recognize and trust.
The article also suggests creating branded frameworks or concepts β for example, something like βThe Acme Indexβ β to help models associate ideas with your company. In theory this sounds appealing, but in practice itβs extremely difficult to execute.
Unless those ideas spread into the trusted datasets LLMs tend to prioritize, they rarely gain traction.
You need those concepts and frameworks adopted and discussed by entities other than yourself, including academic journals, technical standards, widely used software ecosystems, and other prominent entities in your category.
What often results instead is a proliferation of branded labels that remain largely invisible to the models they were meant to influence.
Beyond these tactical issues, the analysis overlooks deeper structural challenges. It treats AI primarily as an external platform shift.
The implication is that you must simply adapt to it rather than actively shaping your own environment.
HBR never seriously considers the possibility of building AI into your own infrastructure. You can deploy assistants, RAG systems, and domain-specific agents within your own products and customer experiences.
These systems operate in logged-in, transactional contexts where first-party data and controlled interfaces still matter enormously.
In those environments, traditional concerns such as site architecture, structured data, and product design remain deeply relevant, though they operate differently from public search optimization.
The discussion also frames SEO primarily as a page-ranking problem tied to discovery.
That perspective misses the broader shift toward entity-level knowledge management (things, not strings).
Visibility within LLMs increasingly depends on how well you structure entities, taxonomies, and knowledge graphs, and on how those systems connect with external data sources.
Most LLMs donβt process data at the petabyte scale Google uses to understand entity relationships. There is a strong correlation that when something ranks well on Google, third-party LLMs often correlate and βtrustβ Googleβs guidance on which brands to show, for what, and when.
HBRβs phrase βengineering recallβ points directly to this deeper data engineering work, yet the implications arenβt expanded.
Another major omission is the diversity of AI systems themselves.
Different AI assistants and models rely on different training datasets, refresh cycles, retrieval mechanisms, and safety layers.
That heterogeneity means you canβt assume a single optimization strategy will work across all AI surfaces.
It also doesnβt explore the risk of broad-stroke approaches. If you try to increase visibility within AI models without accounting for safety filters, attribution errors, or hallucinations, you may gain visibility in ways that are inaccurate or reputationally damaging.
Track, optimize, and win in Google and AI search from one platform.
HBRβs article works well as a high-level explanation of how AI is changing marketing. It helps you understand that traditional SEO alone is no longer enough and that you must consider how AI systems see and describe your brand.
As a practical guide, however, the advice is thin. Most recommendations focus on surface-level tactics that many companies will quickly copy, reinforcing the echo chamber of flock tactics that are easy to sell and quantify, but risk narrowing your focus to short-term wins at the expense of longer-term strategy.
The real challenge is deeper. You need clear entity definitions, structured knowledge systems, reliable data in trusted sources AI models use, testing across how different models represent you, and AI-powered experiences within your own products.
βWinningβ in the AI era will depend less on cosmetic SEO improvements and more on the harder structural work behind the scenes.
ChatGPT retrieves far more webpages than it cites. A new AirOps analysis found that 85% of discovered sources never appear in the final answer.
Why we care. If you want your content cited in AI-generated answers, discovery isnβt enough. Most retrieved pages never become visible to users.
Key finding. In AI answers, retrieval doesnβt equal citation. Your page can rank and be retrieved yet still lose the citation to a source that better matches the prompt or supporting context.
By the numbers:
Citation rates also varied by query type:
Fan-out queries. ChatGPT often expands prompts with additional internal searches while generating an answer, creating what the report calls a βsecond citation surface.β Across the dataset:
Google ranking correlation. High Google rankings strongly correlated with citations:
About the data. AirOps analyzed 548,534 pages retrieved across 15,000 prompts to examine how ChatGPT expands queries and selects citations.
The study. The Influence of Retrieval, Fan-out, and Google SERPs on ChatGPT Citations
New third-party data shows local publishers lost national reach after Google's Discover core update.
The post Google Discover Core Update Data: Local Publishers Lost Reach appeared first on Search Engine Journal.
Microsoft is getting ready for the era of hyper-fast gaming displays With its newest Windows Insider build, Microsoft has enabled support for refresh rates above 1000 Hz. With builds 26100.8106 and 26200.8106, Windows 11 Insiders can now utilise screens that push past the kHz barrier. According to Blur Busters, who have pushed for this support, [β¦]
The post Windows 11 update enables 1000 Hz+ monitors appeared first on OC3D.
Ratio is a social prediction market that lets you trade on future events and compare your forecasts with friends. Create or join markets across various topics and watch probabilities change as the crowd trades. Available on iOS and Android, it makes forecasting engaging and social so you can sharpen your intuition together.
The standard agency reporting call is broken. Budgets are under extreme scrutiny, yet you still invest in vendors that celebrate arbitrary traffic gains while your sales pipeline stays flat.
Optimizing for raw traffic volume is a legacy mindset that hides real commercial performance. The new mandate is to build an acquisition engine that influences buyers and protects your profit and loss (P&L) long before the transaction.
To survive as a marketing leader today, you must ruthlessly challenge your internal teams and external agencies. Stop accepting reports on operational output and demand hard financial accountability: pipeline contribution, customer lifetime value (LTV) to customer acquisition cost (CAC) ratios, and reduced paid media dependency.
Chasing top-of-funnel informational traffic is a trap. If the users clicking your links arenβt actively buying, youβre paying for vanity metrics, not business outcomes.
This happens because many buyers now use large language models (LLMs) to conduct deep research before they reach a search engineβs transactional layer. If you arenβt the cited authority during that AI-driven research phase, youβre invisible by the time buyers finalize their purchase decisions.
The contrast in traffic quality is staggering when you look at the data. Across our enterprise client base, traditional organic search converts at 2.75%, while AI search converts at 7.48%.
LLMs function as the ultimate trust proxy for todayβs consumers. When tools like Gemini, ChatGPT, or Perplexity synthesize dozens of reviews, whitepapers, and Reddit threads to recommend your enterprise software, users trust the LLMβs consensus more than a branded blog post.
AI engines arm consumers with comprehensive data, comparisons, and consensus. By the time a user clicks your AI citation, theyβve already made their decision based on your authority and are prepared to transact.
The SEO toolkit you know, plus the AI visibility data you need.
Want to capture this 7.48% conversion rate? Your entire approach to digital asset creation must evolve. The strategy no longer centers on ranking among a list of links, but on being cited as the definitive option.
To win the AI consensus, you must translate your marketing strategy into structured capital management.
LLMs require consensus and verifiable facts to generate confident answers. By structuring your digital assets with proprietary data and verifiable entities, you become the default recommendation.
This approach may yield only 500 highly qualified visitors, but it gives LLMs what they need to cite you in vendor comparison prompts and captures buyers at the exact moment of commercial evaluation.
Itβs time to stop viewing SEO as a siloed traffic generator. You must treat organic citation authority as a strategic financial lever to reduce overall CAC.
Align your organic assets with your highest-CAC paid campaigns. When organic search owns the AI Overview, your paid team can confidently pull back defensive ad spend.
Hereβs how to leverage paid and AI search:
If your Head of Search and Head of Paid Media arenβt in the same room once a month mapping organic citations against paid brand bidding, youβre burning capital.
Align your teams and channels. Routinely audit where youβre paying for clicks on terms where you already own the AI citation and the top organic spot.
Treat this cannibalization review as a strict financial audit. Identify wasted defensive ad spend and immediately reallocate those dollars toward net-new market expansion.
To regain control of your P&L, you must challenge your vendors to step up. Ask your agency these three questions tomorrow morning to see if theyβre true business partners or order-takers.
Challenge your team to map their organic efforts directly to the AI research phase of your most profitable products.
The answer you should hear: βWeβve mapped your 50 highest-margin queries. By securing the primary AI citation for these, weβve generated $1.2 million in pipeline this quarter at a 3:1 LTV:CAC ratio.β
Require teams to prove how their organic authority captures demand that would otherwise require paid ad spend.
The answer you should hear: βBy capturing the definitive AI citation for [category], we paused paid bidding on those terms. This reduced our blended CAC by 18% and saved $45,000 in defensive ad spend β which weβve immediately reallocated to net-new market expansion.β
Push your teams to explain their strategy for AI-driven search models. Itβs no longer enough to publish standard web pages.
The answer you should hear: βWeβve restructured your core commercial pages away from standard marketing copy, deploying answer-firstβ frameworks, proprietary data tables, and expert author entities to ensure LLMs confidently extract and recommend your brand. This structural shift has increased our inclusion in commercial AI Overviews by 40% this quarter, directly feeding our bottom-of-funnel pipeline.β
Track, optimize, and win in Google and AI search from one platform.
In a tough economy, SEO is a measurable business unit that must defend its budget with revenue data. Donβt accept operational output as proof of commercial success.
Audit your reporting frameworks immediately. Stop accepting vanity metrics as evidence of success. Demand pipeline impact, LTV:CAC ratios, and a resilient acquisition engine.
Any agency or internal team unwilling to tie its work directly to your P&L will become obsolete. Your job as an enterprise leader is to ensure your brand is cited as the authority long before the transaction begins.
Brandon Ervin, Director of Product Management for Google Search Ads, recently discussed campaign consolidation, AI Max, and what advertiser control looks like in 2026 on Googleβs Ads Decoded podcast. The conversation was serious and informed, and reflected a product team that understands advertiser concerns and is actively working to address them.
But the podcast is also incomplete. The gap between what Google said and what advertisers actually experience from their sales organization is large enough to warrant a direct response.
Ervinβs team is doing genuinely good work, but the platformβs structural incentives havenβt changed. Googleβs evolving product is creating problems faster than it can solve them. Performance is now measured on economic standards, shaping how a search ads audit is performed.
Recentish improvements are genuine:
These are meaningful. They are also solutions to issues introduced by bundling, opacity, and aggressive automation rollout.
These products have been mercilessly shopped to advertisers since 2021, and the controls that make it usable arrived years after the sales push began.
The ability to separate brand from non-brand traffic inside PMax/AI Max should not be framed as innovation. It restores a fundamental distinction that previously existed by default. The ability to see network performance inside a bundled campaign is not an expansion of control. It restores visibility that was removed.
An audit must ask whether new tools are genuinely expanding control or merely reintroducing baseline transparency.
Before the real audit begins, the fundamentals. These are uncontroversial and should already be in place:
Those are table stakes. The real audit begins after that.
With the prevalence of AI, advertisers need to focus on reconstructing economic visibility in systems designed around aggregation and automation.Β
In the podcast, Ervin says βcontrol still exists, it just looks different.β Ad controls β where, when, and to whom ads appear β are still important and changing, some think, for the worse.
The old ad controls β exact match, manual bids, network selection, and device modifiers β gave advertisers direct influence over where ads appeared and what they paid.Β
However, the new controls are indirect. Control now lives in data quality, density, and selectivity. They influence the algorithm, but the algorithm makes the final call.
An audit should focus on three questions:
With these new tactics, you only pass net-new customers or high-value customers. The majority of the time, it is better to just pass the densest and most predictive conversion set.Β Β
Google optimizes toward reported conversions, not incremental conversions. Brand search often captures existing demand. Retargeting often captures users already in motion. Pmax/AI Max frequently blends these signals.
Ervin was asked: Are AI-driven campaigns over-indexing on warm brand traffic to inflate blended ROAS (return on ad spend)?
He doesnβt dispute the problem, but points to partial solutions, including using brand controls, better theme your account, and looking at multi-campaign A/B testing.Β
If incrementality is not measured, automation amplifies non-incremental signals.
Google uses a blended cost-per-action (CPA). For example, the first $50K of spend might return a $30 CPA, while the next $50K might return $120.Β
With automation, money is spent until the blended metric falls within tolerance, meaning the last dollar is not spent efficiently. The vast majority of advertisers are bidding far beyond what they should be and have no idea it is happening.
An audit must:
A lower target makes the algorithm more selective, competing in fewer high-value auctions. Google doesnβt suggest this because that would mean less spend and lower bids are less effective in general.Β Β
On the podcast, Ervin acknowledges that some AI Max matches can βlook a little wonkyβ and says his team is working on exposing the modelβs reasoning.Β
Query mapping has gotten meaningfully worse over the past several years: queries landing in the wrong ad groups, matching to keywords with different intent, and broad match pulling in traffic unrelated to the keyword.
AI Max has accelerated this β thereβs been an increase in the volume of irrelevant queries flowing through AI Max campaigns, with no connection to the advertiserβs business or keywords in the account.Β
Meanwhile, Googleβs recommendations consistently push toward broad matching and large themed ad groups.Β Β
The issue is not whether broad match works, but whether high-value intent is being diluted in larger, broader ad groups. Fewer ad groups means that we cannot effectively or meaningfully lower targets without a massive structural negative schema, so performance differences have to be large enough to validate the new structure.Β
An audit should:
Performance Max and Demand Gen bundle multiple networks into single campaigns, but offer limited visibility into which networks drive results. This makes it hard to cut the underperforming ones. The slow rollout of network-level controls systematically benefits Googleβs less competitive inventory.
An audit must:
Combining these elements in your audit will help you succeed in this new world of ad search:Β
The cumulative effect is that the surplus value generated by your best inventory and high-intent, high-converting search queries gets redistributed across Googleβs weaker inventory (i.e., Display, YouTube, Discover, Gmail, crazy tail queries).Β Β
This is how to get a dwindling supply of valuable search queries to inflate the cost-per-clicks (CPCs) of low-quality inventory.Β
The Ads Decoded episode: Is your campaign structure holding you back in the era of AI?
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AMDβs Ryzen 7 X3D CPUs have received price decreases in the UK Less than two months have passed since the release of AMDβs Ryzen 7 9850X3D (review here), and the CPU is already available at a discounted price. In fact, all of AMDβs currently available Ryzen 7 X3D CPUs are now available at lower prices [β¦]
The post AMD Ryzen X3D CPU prices drop in the UK appeared first on OC3D.
TSEP (The Social Enterprise Pound) connects vetted African professionals with SMEs worldwide, enabling businesses to access reliable remote capacity while supporting ethical digital employment across Africa.
Through a structured social enterprise model, SMEs can outsource projects to trusted talent while benefiting from built-in compliance, transparent workflows, and managed delivery. TSEP helps businesses scale efficiently while creating sustainable income opportunities for skilled professionals across the African continent.
Shombo is an all-in-one case management platform built for solo personal injury attorneys. It automates the entire PI workflow from client intake and contingency fee agreements with built-in e-signatures to AI-powered demand letters, medical record summaries, and settlement statements with lien tracking. Stop paying for five different tools; Shombo replaces your fragmented stack with a single platform that tracks every case from new lead through disbursement. AI generates demand letters from your case data, extracts injuries and treatments from medical records, and drafts daily briefings, so nothing slips. Built-in reminders chase clients so you don't have to.
Google's Gary Illyes offered a candid overview of Googlebot, explaining there are hundreds of crawlers that are not publicly documented.
The post Google Says Hundreds Of Their Crawlers Are Not Documented appeared first on Search Engine Journal.
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Reedle is a reading app that keeps your articles and papers in one place and helps you remember them. You can import web pages, PDFs, EPUBs, and your Zotero library, read in a clean layout, ask questions about the text, get help with formulas, translate passages, and listen to them out loud. When you highlight something important, Reedle schedules it for review using spaced repetition, so you donβt forget it later. It works on iOS, Android, and Chrome, lets you search across your whole library, and exports your notes to tools like Obsidian.
initdesk is a simple, AI-powered help desk built for product creators and lean teams who handle support over email. Connect your inbox, receive AI-drafted replies, use auto-tags, and access an AI Assistant you can teach with your FAQs and documents to improve accuracy over time. Keep everything in one lightweight shared inbox, publish a support portal, and trigger workflows with Slack notifications and webhooks. It's designed to save hours, reduce costs, and maintain fast support without enterprise bloat.
BiteBurst is an AI-powered learning platform that helps kids aged 6β14 build healthy habits through short, gamified lessons on nutrition and movement. Kids follow a playful path of cards, quizzes, and challenges, tapping emojis to explore foods and activities and earning collectible cards that keep motivation high. Friendly mascots guide every step while parents track progress, streaks, and knowledge growth with clear insights and multi-child support.
Serpdino is a rank tracking and competitor insights tool designed to give you more for less. It features unlimited keyword tracking, automated competitor discovery, built-in Similarweb and PageSpeed Insights, four-year historical volume trends, and AI overview and SERP snapshot tracking.
Dream Select Boot Camp is an all-in-one platform for aspiring and active real estate agents in all 50 states. Prepare for your state exam with mock exams, topic quizzes, and speed rounds, and keep momentum with a 24/7 voice AI mentor for on-demand guidance.
Use the Agent Toolkit to manage leads with a built-in CRM, generate listings, and follow a social media playbook. Join The Bullpen community to swap advice and stay motivated. Start with a 14-day free trial and get support anytime.
ChatReact is an AI-powered customer support platform that learns over time. When customers mark an answer as wrong, the Improvement Agent analyzes the issue and suggests fixes automatically. It crawls your website, builds a Knowledge Base, generates SEO-friendly FAQs, and supports 24 languages. Built for businesses seeking more than a basic chatbot, ChatReact includes a full REST API and MCP Server for developers and is GDPR compliant. A free tier is available.
New features include artificial intelligence suggestions for listing summaries, prepaid shipping labels and AI-generated profile summaries.
The professional platform outlined a series of revamped systems to cater more effectively to user interests and better understand contextual relevance.Β
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The app partnered with the portrait artist to showcase the potential for interactive creation and give visitors a chance to test Snapβs AR Specs.
The platform is in the early stages of implementing a feature that will allow hiring professionals to manage initial candidate assessments using artificial intelligence interviewers.Β
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The platform published a new guide outlining how users can enhance their content to improve their chances to appear in artificial intelligence answers.
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Users on the app are two times more likely to sign up with a service provider after seeing in-app content from a creator, according to a new report from the company.
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Crowdfunding AI helps founders plan, budget, and execute successful crowdfunding campaigns. It generates an instant strategy with timelines and tasks tailored to your product and niche, showing what worked in similar launches so you can model proven tactics. It blends expert frameworks with data-driven guidance and free resources to take you from validation through post-campaign with clarity and confidence.
Nabbed.io is a career CRM built exclusively for revenue professionals β SDRs, AEs, Account Managers, and sales leaders. It reframes the job search as a sales motion. What separates Nabbed from other job search tools is what happens after you get the job. Career Mode activates when you land the role. It keeps your network warm, tracks compensation benchmarks against the market, surfaces hiring signals at target companies, and logs wins as resume-ready bullets in real time.
Formidable Forms WordPress vulnerability enables unauthenticated attackers to pay a small amount and have a larger purchase marked as paid.
The post Formidable Forms Flaw Lets Attackers Pay Less For Expensive Purchases appeared first on Search Engine Journal.
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Google is leaving the door open to advertising in its Gemini AI app, with a senior executive telling WIRED the company is βnot ruling them outβ β a notable shift from the flat denials made just months ago.
Whatβs changed: In January, Google DeepMind CEO Demis Hassabis told reporters at Davos that Google had no plans to put ads in Gemini. Now, SVP Nick Fox is saying otherwise β noting that learnings from ads in AI Mode will βlikely carry overβ to Gemini down the road.
The current strategy. Rather than rushing into Gemini, Google is using AI Mode β its Gemini-powered Search product β as a testing ground for ad formats in AI experiences.
Why we care. Googleβs entire business is built on advertising. How and if they bring ads into AI products will shape the future of the industry β and set the tone for every AI company trying to figure out how to monetize free users. The brands that figure out how to show up relevantly in conversational AI environments now β before the auction gets competitive β will have a significant first-mover advantage.
The bigger picture. Google is in a stronger position than its rivals to take its time. The company crossed $400 billion in revenue in 2025, giving it the luxury of patience. OpenAI, by contrast, is under pressure to more than double its $30 billion in revenue this year β and has already started testing ads in ChatGPTβs free tier.
Between the lines: Foxβs framing is careful but revealing. By positioning Gemini ads as a βprioritization questionβ rather than a values question, Google is signaling itβs a matter of when β not if.
What to watch: Personal Intelligence β Geminiβs feature that pulls from a userβs Gmail, Photos, and Calendar β is the sleeper story here. Fox called personalization his βholy grailβ for Search, and hinted it could eventually roll into the broader Search experience. If it does, advertisers would gain access to an entirely new layer of contextual targeting β though Fox was quick to add that user data will not be sold or shared.
Whatβs next. Advertisers should start preparing now. As Google refines its AI ad formats in AI Mode, those learnings will eventually migrate to Gemini. Brands that understand how to show up relevantly in conversational, context-rich AI environments will have a significant head start when the floodgates open.
Dig deeper. Google Is Not Ruling Out Ads in Gemini (registration needed)
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