Marketing teams love a good brainstorm, but keeping everyone on the same page—especially with AI in the mix—can feel like herding cats. Oshkosh-based agency Good At Marketing wants to change that. The certified Google Partner has struck a beta partnership with SharedChat.ai, the first platform designed for multi-user AI collaboration in shared conversation threads.

The deal makes Good At Marketing the first marketing agency to bring SharedChat’s collaborative AI into its workflows, spanning client service delivery, strategy development, and internal team sessions.

What Makes SharedChat Different

While most AI tools are built for one user, SharedChat.ai flips the script. The platform allows multiple users to participate in the same conversation thread while toggling AI assistance on or off as needed. Teams can choose:

• Collaboration mode: multiple AI models work together.

• Competition mode: AI engines battle it out to deliver the best solutions.

• Human-only mode: sensitive discussions stay AI-free but retain full context.

It also includes a prompt builder designed for team-based marketing tasks, helping groups refine their AI queries collaboratively instead of working in silos.

“This revolutionary approach changes everything about how we work,” said Roni Strompf, Chief Content Officer at Good At Marketing. “When our entire team can collaborate with Claude, GPT, and other AI models in unified threads, then toggle between modes as needed, we’re fundamentally transforming how marketing teams operate.”

Beyond the Chat Window

For Good At Marketing, the partnership builds on its existing AI Form Reply service, which auto-responds to website inquiries, qualifies leads, and books meetings. The addition of SharedChat pushes the agency deeper into end-to-end AI-powered marketing, from first contact through collaborative campaign planning.

Donnie Strompf, founder of SharedChat.ai, called Good At Marketing “the perfect beta partner,” noting the agency’s expertise in digital marketing and early adoption of AI for client engagement.

Why It Matters

The beta tests are surfacing clear use cases for marketers:

• Shared Strategy Sessions: multiple staff brainstorming in one thread, switching AI input on/off as needed.

• Client Workshop Integration: letting clients join shared chats while tightly controlling AI participation.

• Creative Development: pitting AI models against each other to generate campaign concepts.

• Context Preservation: keeping conversation history intact even when AI is temporarily disabled.

It’s a sharp contrast with most AI tools, which require starting fresh whenever context shifts.

The Bigger Picture

As AI collaboration matures, SharedChat’s toggle-based approach could reshape how agencies and enterprises alike manage brainstorming, workshops, and client-facing interactions. For Good At Marketing, it’s a chance to get ahead of rivals experimenting with AI-enhanced workflows.

“This isn’t just early access to innovative tech,” said Roni Strompf. “It’s the future of how marketing teams collaborate.”

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Slow Wi-Fi is the fastest way to ruin a hotel stay, derail a business meeting, or frustrate fans at a stadium. Ookla, the Ziff Davis subsidiary behind the ubiquitous Speedtest app, wants to end that gamble with the launch of Speedtest Certified™, a new program that verifies a property’s network performance against rigorous standards.

For years, consumers have turned to Speedtest to check their own connections. Now Ookla is extending that trust to physical spaces—think hotels, airports, office buildings, and sports arenas—where reliable connectivity is often more important than the minibar.

The Gold Seal of Connectivity

Speedtest Certified isn’t just a marketing badge. Properties must undergo a comprehensive, data-driven assessment of their enterprise network deployments. The process evaluates:

• Wi-Fi radio frequency (RF) quality

• Network configuration and security

• Performance metrics across multiple devices

• ISP backhaul quality

Those that meet the standards earn a certification backed by one of the most recognizable names in connectivity testing. Certified properties also gain access to a digital platform for benchmarking, insights, and recommendations to keep their networks competitive.

“Today, Ookla is introducing a solution,” said Stephen Bye, CEO of Ookla. “For years, you’ve trusted Speedtest for your own connectivity. Now, with Speedtest Certified, we’re extending that trust to the places you visit.”

Why It Matters

Connectivity is now a core amenity for tenants, guests, and employees. Poor internet isn’t just an inconvenience—it can sink customer satisfaction scores and revenue. By offering a trusted verification system, Ookla is effectively creating a “Good Housekeeping Seal” for Wi-Fi and broadband.

That could prove especially valuable for property owners competing in crowded sectors like hospitality and commercial real estate, where customer expectations around seamless digital experiences are higher than ever.

Hamdy Farid, SVP of Product at Ookla, framed it this way: “Speedtest Certified is the gold standard in network verification. It provides objective metrics to validate investments and stand out in a crowded market. For the rest of us, it simply eliminates the guesswork.”

Industry Context

The launch comes as connectivity becomes a make-or-break factor in real estate and events. Marriott and Hilton, for example, already advertise upgraded Wi-Fi as a differentiator. Tech-forward venues like Allegiant Stadium in Las Vegas are investing heavily in network infrastructure to support streaming-hungry fans. Ookla’s program could push the industry toward greater transparency and accountability in connectivity standards.

For property owners, the certification offers both a competitive edge and a defensive play: in a world where bad reviews often start with “the Wi-Fi was terrible,” Speedtest Certified could be the digital badge that saves them from public shaming.

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G2, the world’s largest B2B software marketplace, is teaming up with Profound to help software companies understand — and influence — how they’re discovered in AI-powered search.

The partnership integrates Profound’s answer engine optimization (AEO) and AI visibility data directly into G2’s customer dashboards. This gives software vendors real-time insights into when and how their product categories are being cited by large language models (LLMs), with G2 as the source.

“B2B software buyers are increasingly shifting to AI-first search over traditional engines,” said Godard Abel, co-founder and CEO of G2. “To reach them, companies need visibility inside LLMs. With Profound, we’re not just showing brands how often they’re cited — we’re helping them improve that presence.”

The new AI Visibility dashboard turns AI discovery into a performance channel. Companies can now:

• Track the frequency of G2 citations across AI search platforms.

• Benchmark their standing against competitors.

• Identify which G2 product categories drive citations.

• Surface top-performing prompts from AI queries.

Built-in recommendations, like increasing recent reviews, help turn insight into action. Go-to-market teams can also track traffic originating from AI search and adjust strategies in real time.

James Cadwallader, co-founder and CEO of Profound, emphasized the urgency: “Every brand needs to understand and control how AI interprets and recommends their products. G2’s scale across B2B SaaS makes them the perfect partner to reshape discovery in the AI era.”

Profound’s platform equips enterprise marketers to ensure their products are accurately represented in AI-generated answers. G2, already one of the most-cited B2B software sources across LLMs, ranks 4th among the top sources on ChatGPT and 9th on Perplexity.

Together, G2 and Profound aim to give B2B software companies a competitive edge as AI-driven search reshapes how buyers find and evaluate technology.

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Google may still dominate search, but if you’ve asked ChatGPT, Gemini, or Elon Musk’s Grok for a recommendation lately, you’re part of a growing trend reshaping marketing. Consumers are increasingly turning to AI assistants over traditional search engines—and that shift leaves small businesses scrambling to stay visible.

Enter NextPR Engine™, a new platform from Chicago-based More Leverage Solutions, Inc. The agency, founded by Gen X entrepreneur and former Fortune 50 strategist Patty Dominguez, claims its tool helps service-based businesses land the kind of media placements and digital credibility that AI systems actually trust and surface.

Why This Matters

For years, SEO has been the go-to playbook. But with generative AI now answering questions directly, small businesses can’t rely on backlinks and keywords alone. “The reality is, people aren’t just ‘Googling it’ anymore, they’re asking AI,” said Dominguez. “If you’re invisible there, you’re losing opportunities.”

That invisibility isn’t hypothetical. AI models increasingly favor content tied to authoritative sources, meaning a business without credible mentions may never show up in results—even if its website is optimized for Google. NextPR Engine™ aims to bridge that gap, helping businesses build trust signals recognizable to both AI systems and human buyers.

How It Works

At launch, NextPR Engine™ focuses on Stage 1 of Leverage OS™, a growth framework Dominguez’s agency has been developing. That stage is all about visibility: securing brand mentions, authoritative placements, and signals that AI tools treat as credible.

Future stages—already teased—cover conversion and optimization, with products like Know Your Leads™, Follow-Up Flywheel™, and the Cashflow Command Center™. Together, these form what Dominguez calls a Fortune-50-style “growth operating system” for small businesses.

A Timely Play in a Shifting Market

The timing feels spot-on. Rivals from HubSpot to Semrush are also pivoting their tools toward AI-driven search, but those are built for larger marketing teams. NextPR Engine™ is pitched as an accessible alternative for service-based solopreneurs and small shops that lack the budget—or patience—for heavyweight platforms.

The bigger question is whether AI-driven discoverability becomes the new SEO. Early evidence suggests it might: A 2024 Gartner report predicted that by 2026, 30% of search traffic will bypass traditional engines in favor of AI assistants. If that holds, tools like NextPR Engine™ could go from nice-to-have to mission-critical.

Bottom Line

For small businesses squeezed between big-brand ad budgets and ever-changing algorithms, NextPR Engine™ offers a new path to visibility in an AI-first world. Whether it can level the playing field—or just become another must-have subscription in the marketing toolkit—will depend on how fast consumer search habits continue to shift.

But if you’re running a service business and relying solely on Google rankings, consider this your wake-up call: AI assistants are already rewriting the rules.

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The chatbot era gave us clunky menus and robotic voices. ZVOX thinks it can do better. The company has rolled out its AI Voice Agents, pitching them as a smarter, more human alternative to both chatbots and outdated call-center IVR systems.

Instead of generic scripts, ZVOX has built industry-specific AI agents designed to handle real customer conversations with nuance, context, and follow-up. In other words, it’s automation with a bedside manner.

Agents With Jobs, Not Just Voices

At launch, ZVOX is debuting four AI voice agents—each focused on a vertical where poor service usually means lost customers (and lost revenue):

• Laura: Guides home warranty customers.

• Steven: Handles auto insurance, from instant quotes to policy qualifications.

• Rachel: Breaks down complex life insurance questions.

• Kevin: Assists banks and financial institutions with loan processing.

Unlike standard bots, these agents aren’t reading from a script. They tap into domain-specific knowledge and natural language processing to ask clarifying questions, tailor responses, and push conversations toward informed decisions.

Why It Matters Now

The timing isn’t random. A recent industry study found that 67% of customers hang up due to long wait times, while 73% of business leaders rank customer experience as their top priority. The gap between those two stats is where ZVOX hopes to fit in.

For years, call centers have been treated as a cost center—expensive to staff, hard to scale, and quick to frustrate customers. ZVOX wants to flip that narrative, positioning its AI agents as revenue drivers: faster answers, fewer abandoned calls, and customers who leave the interaction feeling heard.

ZVOX’s Pitch

“The availability of ZVOX marks a pivotal moment in our vision to elevate customer experiences through intelligent voice technology,” said CEO Amitt Sharma. CTO Arjit Sachdeva echoed that ambition, calling the platform “engineered for the future of engagement—smarter, faster, and more personal.”

The Bigger Picture

ZVOX isn’t the only company chasing AI-powered customer service. Tech giants from Amazon to Google are embedding conversational AI into their enterprise stacks, while startups like Observe.AI and Replicant are carving out niches in AI-powered contact centers.

What makes ZVOX notable is its industry-specific focus, promising depth over breadth. If it can consistently handle complex conversations in insurance or banking, it could appeal to enterprises where mistakes are expensive and trust is paramount.

The challenge? Proving that “human-like” AI actually feels human enough to satisfy customers who are notoriously unforgiving when a call goes wrong. If ZVOX delivers, businesses may finally have a reason to see their call centers not as a burden, but as a growth channel.

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Typing product names is so 2010. Rezolve Ai (NASDAQ: RZLV), a Microsoft and Google partner specializing in AI-powered commerce, has launched Visual Search—a feature designed to make keyword-based shopping obsolete. Instead of guessing brand names, model numbers, or search terms, shoppers can now just point their phone camera at an item and watch Rezolve’s AI handle the rest.

The move reflects an emerging reality in retail: search isn’t just a box anymore, it’s a conversation. And in Rezolve’s world, that conversation starts with a photo.

From Snap to Shop

Visual Search is built around a few deceptively simple steps:

• Point & find: Snap an item, upload a photo, or drop in a screenshot to discover matches in a retailer’s catalog.

• Conversational layer: Instead of static results, shoppers get contextual prompts, suggestions, and natural-language Q&A.

• Brain Commerce & Brain Checkout integration: Visual discovery flows directly into personalized recommendations and one-tap checkout.

• Cross-channel availability: Works on mobile, web, and even in-store tools for associates.

Behind the scenes, Rezolve’s multimodal AI isn’t just looking at images. It parses text, semantics, and fine-grained product attributes—think fabric, color, style—to find the closest possible match.

Why Rezolve Thinks It’s Different

Plenty of tech companies have dabbled in image-based search (Google Lens, Amazon StyleSnap, Pinterest Lens). Rezolve’s pitch is that it isn’t layering AI on top of retail—it’s built its own foundation.

• Full ownership: Rezolve owns its large language model (LLM) and computer vision stack, avoiding reliance on third-party models.

• Patented reliability: Proprietary patents aim to prevent “hallucinations” and ensure explainable, trustworthy results.

• Commerce-first design: Optimized for huge catalogs, real-time inventory, and fast refresh cycles.

• Closed-loop ecosystem: Tightly linked to Rezolve’s Brain Commerce recommendation engine and Brain Checkout system.

CEO Daniel M. Wagner calls it “the purest form of Conversational Commerce: show us what you want, and we’ll find it.” CTO Dr. Salman Ahmad puts it more bluntly: “Visual Search replaces the outdated keyword box with a dynamic conversation between consumers and retailers.”

Retail Use Cases That Actually Make Sense

Beyond window-dressing demos, Rezolve sees Visual Search powering some very real scenarios:

• From Instagram to cart: Spot a pair of shoes on social, snap, and shop.

• In-store associate tools: Scan an item to check stock, alternatives, or complementary styles.

• Returns & replacements: Point to a worn-out item and find an equivalent in seconds.

• Data enrichment: Retailers get automatic catalog tagging, richer metadata, and better personalization.

The Bigger Picture

If Rezolve delivers on speed and accuracy, this could be a differentiator for retailers fighting to keep up with Amazon and TikTok Shop. The holy grail is collapsing the “inspiration-to-purchase” gap—a trend analysts say is reshaping ecommerce as younger shoppers skip keywords altogether in favor of visual and conversational tools.

The challenge? Convincing retailers to invest in Rezolve’s ecosystem over more familiar players like Google Lens. But Rezolve’s enterprise-first focus and promise of closed-loop commerce may be enough to win retailers looking for tighter control over customer journeys and data.

For consumers, it comes down to one thing: the next time you can’t remember the name of that sofa or sneaker, pointing your camera might be all it takes to buy it.

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Enterprise IT and creative agencies don’t usually share the same playbook. But Kyndryl (NYSE: KD) and VML, a WPP company (NYSE: WPP), are betting that a mashup of infrastructure muscle and customer experience design could be the key to future-proofing brands.

The two companies announced a new partnership this week aimed at reimagining customer engagement through a mix of AI, data, and design. The idea: combine Kyndryl’s deep technical expertise with VML’s brand and digital transformation chops to help enterprises move from pilot projects to personalized customer experiences at scale.

Breaking Down the Walls Between IT and CX

At the heart of the collaboration is Kyndryl Consult and Kyndryl Vital, which bring advisory and co-creation services for business and infrastructure transformation. On the creative side, VML Enterprise Solutions brings its “experience transformation” know-how, powered by WPP Open, the company’s AI-driven operating system.

Together, the companies want to help brands do something most still struggle with: connect messy back-end systems with sleek front-end customer journeys. “Customer expectations are evolving faster than ever,” said Ismail Amla, SVP of Kyndryl Consult. “Our partnership with VML is about removing the friction that slows down experience transformation.”

Kyndryl adds engineering depth, infrastructure management, and Kyndryl Bridge, its AI-powered integration platform. VML contributes real-time data tools, design expertise, and an ecosystem of digital solutions. The pitch is an end-to-end experience pipeline: from idea to proof of concept to delivery at enterprise scale.

Use Cases Across Industries

The companies are targeting sectors where customer experience can make or break loyalty:

• Financial Services: Using AI agents from Kyndryl’s Agentic AI Framework and WPP Open to orchestrate customer data, improve personalization, and navigate compliance-heavy environments.

• Retail: Helping retailers unify order management, CRM, and customer data platforms to deliver personalized omnichannel experiences while boosting data security.

The joint approach emphasizes deploying mixed “squads” of designers, AI specialists, developers, and engineers—a model borrowed from agile startups but applied to Fortune 500-scale challenges.

Why This Partnership Matters

AI hype is everywhere, but many enterprises are stuck in pilot purgatory: proof-of-concept projects that never scale. Kyndryl and VML are positioning themselves as the duo that can break that logjam, bringing both infrastructure reliability and creative vision to the table.

Competitors like Accenture and Deloitte are also trying to bridge the IT-CX divide, but Kyndryl and VML’s pitch leans heavily on integration and speed—essential in markets where personalization and seamless digital experiences are no longer nice-to-have.

As VML Global CEO Jeff Geheb put it: “Together, VML and Kyndryl are breaking down silos, integrating talent and services and ultimately simplifying the path from idea to delivery.”

The Bottom Line

For enterprises, the partnership could mean less handoff between IT vendors and creative agencies—and more cohesive, AI-powered customer experiences. Whether banks, retailers, and other verticals bite will depend on execution, but one thing is clear: brands that fail to link back-end data with front-end interactions risk falling behind in a customer-first economy.

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Adobe isn’t just dabbling in AI—it’s embedding it across nearly every layer of enterprise marketing. The company says 99% of Fortune 100 companies have already used AI inside an Adobe app, with adoption accelerating across top accounts for GenStudio for Performance Marketing, Firefly Services, and Acrobat AI Assistant.

That makes Adobe one of the clearest winners in the generative AI land grab. Where rivals are still pitching pilots, Adobe is touting real adoption, measurable ROI, and some of the world’s biggest brands as reference customers.

The Enterprise AI Stampede

“AI is no longer a future bet, it’s a competitive advantage today,” said Anil Chakravarthy, president of Adobe’s Digital Experience business. The pressure is real: enterprises need to pump out more content, across more channels, faster than ever before. With attention spans measured in seconds, the ability to generate, personalize, and distribute creative assets at scale is quickly becoming table stakes.

Adobe’s pitch is that its unified AI platform—spanning creativity, marketing, and productivity—lets companies do exactly that. Unlike point solutions that plug AI into a single tool, Adobe is positioning itself as the full-stack provider that connects creative output, campaign orchestration, and decision-making.

Partners and Proof Points

The numbers are strong: nearly 90% of Adobe’s top 50 enterprise customers have adopted at least one AI-first product, and more than 40% have doubled their recurring spend with Adobe since fiscal 2023.

Big-name brands are already putting that spend to work:

• IBM reports Firefly cut content costs by 80% and slashed campaign ideation from weeks to two days.

• ServiceNow is using Adobe’s “agentic AI” alongside Microsoft 365 Copilot to push out faster, more data-driven campaigns.

• Coca-Cola, PepsiCo/Gatorade, The Estée Lauder Companies, NFL, and Prudential Financial are among the growing list of enterprise adopters.

Charles Lamanna, corporate VP at Microsoft, framed the collaboration this way: “These agentic solutions, built on Adobe’s unified AI platform and Microsoft 365 Copilot, reflect our shared belief in AI’s power to amplify creativity and deliver business impact.”

Why It Matters

The marketing technology arms race is heating up. Salesforce is leaning on Einstein GPT, HubSpot is building AI into its CRM, and Canva is chasing creative teams with Magic Studio. But Adobe has something the others don’t: decades of creative dominance and direct access to the designers and marketers now tasked with operationalizing AI at scale.

That moat is significant. While competitors promise efficiency, Adobe’s tools promise efficiency plus brand consistency—a top concern for enterprises with reputations to protect.

Bottom Line

Adobe’s AI adoption stats show that generative AI isn’t just experimental anymore—it’s operational. For Fortune 100 companies, AI is fast becoming the backbone of modern marketing campaigns, and Adobe is making the case that its platform is the one to beat.

The question is less “will enterprises adopt AI?” and more “which AI platform will they bet their brand on?” Right now, Adobe’s looking like the safest bet in town.

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