AI writing tools are everywhere, but quality, accuracy, and workflow integration remain major pain points for marketing teams. Clearly Blue Digital, a Bangalore-based content and knowledge services firm, is aiming to solve these challenges with its new Clear Owl platform—a Human-AI collaboration environment that merges automated content generation with professional human oversight.

“Marketing teams are struggling to balance the efficiency of AI tools against quality concerns,” said Linda Jacob, CEO of Clearly Blue Digital. “Clear Owl addresses these challenges and provides a single-stop solution for content needs.”

Tackling Marketing Headaches

Clear Owl targets several critical issues that plague AI content workflows:

• Quality Assurance – Fact-checking and plagiarism detection are handled by expert human content specialists.

• AI Hallucinations – Plausible but false content is minimized through human review.

• Subscription Fatigue – Combines AI, SEO, plagiarism, and grammar tools into one platform.

• Cost vs. Quality – Delivers high-quality content without the price tag of traditional agencies.

The result is a simplified workflow: Generate → Review → Publish, enabling teams to produce reliable content in hours rather than weeks.

Industry-First Features

Clear Owl introduces several innovative capabilities:

• No-Prompt Simplicity – Marketers select topics from AI-driven suggestions without needing expertise in prompting.

• Integrated Human QA – Expert content specialists review AI outputs to ensure accuracy and adherence to brand voice.

• All-in-One Marketing Toolkit – Roadmap includes integrated AI generation, human review, and brand tools in a single subscription.

• Custom Brand Voice Generator – Tailors content style and tone for each client.

This blend of AI efficiency and human insight is designed to help businesses scale content marketing while preserving authenticity.

Early Success and Launch Offer

Following a successful beta, ClearOwl.ai is now publicly available. Early adopters receive a one-month free trial, with the ability to generate up to five blog posts and access priority support.

Marketing leaders are already seeing tangible results. Michail Chopra, CEO of Mayfair We Care, a global health benefits provider, noted: “Clear Owl reduces my team’s content workload from weeks to just hours, freeing them to engage with prospects and convert leads.” Chopra also highlighted the platform’s roadmap for insurance-focused marketing support, a niche not currently addressed by other AI tools.

Why It Matters

As businesses adopt AI for content creation, maintaining quality, credibility, and brand voice is critical. Clear Owl’s hybrid approach reflects a growing trend: blending AI speed with human oversight to ensure consistency and trustworthiness. For companies facing tight marketing timelines, subscription fatigue, and cost pressures, this could be a game-changer.

Clear Owl positions Clearly Blue Digital as a leader in human-AI content collaboration, helping brands navigate the delicate balance between automation and authenticity in modern marketing.

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Generative AI promises to revolutionize enterprise marketing—but adoption has been slow. Fragmented tools, inconsistent brand voice, and governance headaches have kept many companies in pilot mode. Jasper, the leading agentic marketing platform, is tackling these obstacles with the launch of its MCP Server, an open-standard solution designed to scale AI content generation while maintaining control and compliance across the enterprise.

“AI has been stuck in pilot for too long because enterprises lacked the structure to scale it responsibly,” said Timothy Young, CEO of Jasper. “MCP connects AI models, brand standards, and governance into one system, enabling organizations to move beyond pilots to genuine, scalable transformation.”

Why MCP Server Matters

Enterprises have invested billions in AI, yet risk management and governance remain major barriers. According to a Deloitte survey, 30% of organizations struggle to manage risks, and 29% lack a governance model, causing campaign delays or abandonment of AI projects—especially in regulated industries.

Jasper’s MCP Server embeds Jasper IQ’s marketing context, brand guardrails, institutional knowledge, and best practices into every AI input, regardless of the tool or model used. This includes ChatGPT, Claude, Microsoft Copilot, and more, ensuring that outputs are consistent, high-quality, and brand-safe.

Key Capabilities

MCP Server delivers centralized control with decentralized flexibility:

• Unified AI outputs – Connect multiple tools and LLMs via a shared protocol so all content aligns with brand and regulatory standards.

• Brand and compliance enforcement – Set tone, voice, and industry regulations once, then apply across all departments and channels.

• Faster market readiness – Teams can generate usable, on-brand content quickly, reducing bottlenecks and manual checks.

• Scalable adoption – Expand AI use cases safely across marketing, sales, product, and support teams.

• Future-proof interoperability – Open protocols ensure compatibility with new models and AI platforms as they emerge.

“Every team wants to experiment with AI, but without shared context, results quickly become fragmented and risky,” said Bryan Tsao, Chief Product Officer at Jasper. “MCP ensures content reflects organizational standards wherever it’s created, creating a sustainable path for AI adoption.”

The Bigger Picture

MCP Server positions Jasper as a bridge between the rapidly expanding AI ecosystem and enterprise demands for governance, quality, and brand consistency. In an era where AI initiatives can falter due to misaligned outputs or compliance risks, a system like MCP offers a framework to scale innovation responsibly—helping companies transform pilots into enterprise-wide solutions.

With MCP, Jasper is not just offering a tool; it’s offering a standardized approach for enterprises to fully embrace AI marketing without sacrificing control.

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TV and video campaigns have long been considered the “big reach” medium—great for awareness, but notoriously difficult to quantify in terms of revenue. Invoca, a leader in revenue execution platforms, is changing that with a new AI-powered solution designed for agencies and marketing teams to measure the impact of CTV, linear TV, and online video on appointments, sales, and revenue.

“By making TV and video as measurable as paid search, Invoca enables advertisers to maximize the value of every incremental dollar of media spend,” said Gregg Johnson, CEO of Invoca.

The Measurement Gap

Marketers in industries like automotive, healthcare, financial services, and home services often face a common problem: consumers research online but convert offline—via phone calls or in-person visits. Traditional TV and video campaigns can drive awareness, but proving their direct revenue impact has been a persistent challenge.

With Invoca, agencies can now connect the dots across the buyer journey—from the TV or video ad a consumer saw, to the digital interactions they had, to website visits and phone calls—capturing intent and outcome data that quantify real ROI.

Why It Matters Now

The shift to streaming and digital video has transformed media consumption. Americans now spend 5 hours on digital video and 3 hours watching TV daily, driving TV and video ad spend to over $124 billion in 2025. This surge, combined with more authenticated, logged-in viewers, presents an opportunity for advertisers to prove ROAS beyond traditional reach and impression metrics.

“CTV and online video are no longer just brand channels—they can now drive measurable revenue,” Johnson added.

How Invoca Delivers Results

The platform brings digital advertising’s performance rigor to TV and video campaigns:

• AI-Powered Conversion Attribution – Connects ad views to leads, appointments, and revenue.

• Real-Time Integrations – Syncs data with platforms like Google DV360, StackAdapt, and tvScientific.

• Cross-Channel Influence Tracking – Measures how TV/video ads boost conversion rates across search, social, display, and SEO.

• Performance-Driven Optimization – Allows in-flight adjustments based on what’s driving revenue.

Partners like StackAdapt and tvScientific are already leveraging Invoca data to tie phone conversions and revenue back to CTV campaigns, helping marketers optimize and build smarter audiences.

“By partnering with Invoca, we give marketers unprecedented data to measure phone leads, conversions, and true ROI of CTV campaigns,” said Jason Fairchild, CEO of tvScientific.

The Bigger Picture

As advertisers grapple with rising TV/video budgets and growing expectations for measurable outcomes, Invoca provides a revenue-first lens that links offline and online activity. In doing so, it turns traditional brand campaigns into performance-driven investments, bridging the gap between awareness and action in today’s complex media landscape.

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Society Brands, a tech-enabled consumer products company known for snapping up and scaling direct-to-consumer (DTC) health and personal care labels, is finally stepping onto the national stage. The company just announced its first nationwide marketing campaign with iHeartRadio—an ambitious move that will put its portfolio in front of millions of podcast listeners.

The campaign isn’t small potatoes. Ads will roll out across some of iHeart’s biggest properties, including The Herd with Colin Cowherd, My Favorite Murder, Dear Chelsea, and Betrayal. For context, those shows pull in millions of ears each month, and they cover an eclectic mix of sports, comedy, true crime, and pop culture—a wide funnel for brand discovery.

This expansion builds on a previous partnership with media personality Xen Sams, but the iHeart deal marks a notable shift: Society isn’t just flirting with exposure, it’s buying a national megaphone.

Enter the Society Talent Collective

The marketing push dovetails with the launch of the Society Talent Collective, a new platform designed to bring A-list celebrities and top influencers directly into the fold—not just as spokespeople, but as stakeholders. Participants can gain equity in Society’s fast-growing brands, share revenue tied to performance, co-create new products, and ride along on future brand launches.

Michael Sirpilla, Society Brands’ co-founder and CEO, called it an “innovative approach” that aligns star power with the company’s long-term vision. Translation: instead of renting fame for endorsements, Society wants to own the relationship—and let influencers own a piece of the upside.

It’s a model that echoes trends across the consumer brand space. From MrBeast’s Feastables to Logan Paul’s Prime, creator-led ventures are rewriting how products gain traction. Society’s move formalizes that strategy across multiple labels, giving it a potential edge in scaling awareness while tightening influencer loyalty.

Scaling the Portfolio

Society Brands currently manages 12 e-commerce brands, with a heavy tilt toward health and personal care. About 70% of its revenue comes directly from DTC sales, while the rest flows through Amazon, retail, and other marketplaces. That focus is paying off: the company is already pulling in over $100 million annually, with health and personal care representing nearly three-quarters of the pie.

Its growth model is unusual in that it lets founders stay actively involved in their brands while plugging into Society’s centralized infrastructure—a hybrid of independence and support that aims to preserve brand DNA while driving scale. The Talent Collective seems to apply the same thinking to influencer partnerships, promising a structured community where both sides get skin in the game.

The Bigger Picture

This is Society’s first national push, but it lands at a time when DTC brands are grappling with slowing growth, rising acquisition costs, and the need for differentiation in a crowded marketplace. By combining iHeart’s massive reach with influencer equity, Society is betting it can turn brand awareness into something stickier—and maybe redefine how consumer product companies approach celebrity partnerships.

Future announcements are expected around additional partnerships within the Talent Collective. For now, the iHeartRadio campaign signals that Society isn’t content to play quietly in the DTC sandbox—it wants to grab a much larger audience.

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Statara, a data-focused communications and public affairs firm, has tapped Albert Morales as its new Senior Director of New Markets—a move that signals the company’s intent to expand its national footprint in campaign strategy and messaging.

Morales brings more than 20 years of experience working with advocacy groups, corporations, and political organizations. At Statara, he’ll focus on enhancing marketing and message development capabilities, helping clients—from municipalities to large corporations—shape more precise and effective outreach.

“I’m thrilled to be joining this stellar team and look forward to expanding our reach nationwide and delivering winning campaigns,” Morales said.

Why Morales Matters

Morales’ resume includes senior roles at GQR, a prominent polling and research firm, and at the U.S. Hispanic Chamber of Commerce, where he led government relations efforts on Capitol Hill and across the Administration. He also played a pivotal role at the Democratic National Committee (DNC), serving under three different chairmen. Notably, during Howard Dean’s tenure, Morales spearheaded the party’s 50 State Strategy focused on Hispanic voters—a forerunner to today’s micro-targeted engagement campaigns.

His blend of political acumen and private-sector experience is expected to strengthen Statara’s ability to advise clients on both messaging and digital strategy, particularly in competitive or fragmented markets.

Statara’s Edge: Data That Sticks

Statara has built its reputation on identity resolution and record linkage technology, which allows it to track individuals accurately across name and address changes—no small feat in political and consumer marketing. By tapping into historic consumer occupancy records, the company helps campaigns and brands overcome one of the toughest challenges in data-driven outreach: keeping up with people who move, change names, or otherwise drop off the digital radar.

It’s this mix of advanced data capabilities and seasoned strategists like Morales that Statara hopes will set it apart from rivals such as TargetSmart (a Statara subsidiary) or other data-driven firms playing in the political-tech space.

Executive Voices

“A strong business development strategy begins with the right strategist,” said TARA Group CEO Tom Bonier. “Albert’s broad experience—from working with elected officials to understanding the limits of research—makes him the perfect fit for Statara as we grow in new markets.”

Statara founders Drew Brighton and Jeff Ferguson echoed that sentiment, adding: “Albert brings vast private sector and political experience to our firm. We are thrilled he has joined our team.”

The Bigger Picture

Morales’ appointment comes at a time when demand for precision targeting in political and issue campaigns is soaring. With cookieless advertising on the horizon and data privacy rules tightening, firms like Statara are leaning heavily on proprietary data pipelines and identity resolution to maintain campaign effectiveness. Morales’ role will likely focus on turning that technical advantage into broader market share, especially in regions where advocacy and corporate campaigns are increasingly intersecting.

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When customers call an auto dealership, chances are they’re not looking for a sales pitch—they just want service: schedule an oil change, get an update on a repair, or figure out which department to talk to. Kenect, a Utah-based provider of AI tools for dealerships, believes those calls are overdue for an upgrade.

This week, the company rolled out Voice AI, a 24/7 virtual receptionist designed to handle the grind of inbound calls and routine service questions. Think of it as a mix between a scheduling assistant and a call triage system, powered by artificial intelligence.

What It Does

Kenect’s Voice AI isn’t just another chatbot with a phone number. The platform is tightly integrated with dealership management systems, allowing it to:

• Answer calls instantly and provide consistent responses.

• Route inquiries to the right department or staff member.

• Schedule service appointments automatically, no human needed.

• Filter calls based on customer status or repair order.

In practice, that means fewer “please hold” moments and less frustration for customers trying to get a quick answer during peak hours—or after hours.

The Business Impact

For dealerships, the pitch is clear: fewer calls bogging down service writers and more capacity for actual revenue-generating work. Early adopters have already reported:

• 61% reduction in service staff call volume

• Over two hours saved daily per service writer

• 23% increase in service revenue

Those numbers are hard to ignore in an industry where margins are often tight and customer satisfaction scores can make or break loyalty.

AI Creeps Into the Service Bay

Kenect isn’t the first to eye the dealership service desk as fertile ground for AI. Companies like Xtime and CDK Global have been automating scheduling for years. What’s new here is the blend of voice AI and dealership system integration, which promises to bridge the last-mile gap between customer intent and dealership logistics.

It also underscores a broader trend: AI is moving past flashy showroom demos and embedding itself in less glamorous but high-friction areas of automotive retail. Voice AI is less about selling cars and more about making sure customers stick around for maintenance—the part of the business that often delivers steadier profit.

Why It Matters

The launch comes as dealerships face labor shortages and rising customer expectations for responsiveness. Consumers, conditioned by 24/7 digital services elsewhere, now expect the same from their local service bay. A bot that can answer the phone at midnight and book an appointment may not win awards for innovation, but it could win customer loyalty.

Kenect’s move also highlights the next phase of dealership AI adoption: shifting from marketing tools to operational AI—automation that directly reduces workload and drives measurable ROI. If the reported efficiency and revenue boosts hold true across a broader rollout, Voice AI could quickly shift from a nice-to-have to a competitive necessity.

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Personalization has been the holy grail of marketing for years, but despite countless promises, most “personalized” campaigns still feel like spray-and-pray with a first-name merge tag. Personize™ thinks it has the fix—and it’s betting big on a new AI category to prove it.

The company today announced the launch of its Generative Personalization Engine (GPE), a new class of software designed to deliver true one-to-one personalization across sales and marketing campaigns. Built directly into HubSpot, the system pairs AI agents with something Personize calls CortexUCM™ (Unified Customer Memory)—a continuously updated profile of every prospect that can be activated instantly across channels.

The pitch: instead of simply automating content, Personize says it’s automating relevance.

From Generative AI to Generative Personalization

“Generative AI gave us the ability to automate content. But Generative Personalization is the leap that actually transforms sales and marketing,” said Hamed Taheri, CEO and founder of Personize.

What makes this different from the sea of AI assistants already inside CRMs? While traditional AI tools churn out generalized text, Personize claims its GPE can “research, reason, and write” at scale—infusing every interaction, whether it’s an email, LinkedIn message, landing page, or even a sales call, with intelligence gathered across the customer lifecycle.

Think ChatGPT meets a living CRM brain—one that doesn’t forget.

Features That Go Beyond Email

Personize is also rolling out AI ContentProducer™, which aims to solve another scaling headache: inbound marketing. Instead of just helping sales teams craft personalized emails, the ContentProducer automatically generates fully researched, SEO-optimized blog posts, articles, and thought-leadership pieces tailored to industries, buyer stages, and audience segments.

Other key capabilities include:

• CortexUCM: A living, unified memory of every customer interaction.

• AI Studio: A no-code environment for building and testing AI agents inside HubSpot.

• AI Researcher: Autonomous data mining across CRM and web sources.

• AI Writer: Personalized emails, LinkedIn messages, call scripts, and landing pages.

• AI Properties: Embeds live AI insights into HubSpot fields for real-time automation.

• AI AgentCatalog: A library of reusable or custom-built AI agents.

Early Traction

The company says early adopters are already seeing measurable results. Sean Mahon, CEO of ASAP Marketplace, credits Personize with driving a 50% increase in organic SEO growth while maintaining brand voice.

For marketing leaders, the takeaway is significant: scaling content without diluting quality or breaking budgets has always been the stumbling block of inbound growth. If Personize can balance speed, quality, and cost, it may push AI personalization from hype to reality.

The Bigger Picture: AI Arms Race in CRM

The launch of Personize’s Generative Personalization Engine comes at a time when Salesforce, HubSpot, and Microsoft Dynamics are all racing to infuse generative AI into their ecosystems. Salesforce has Einstein GPT, HubSpot has ChatSpot, and now Personize is carving out a new niche inside HubSpot with a focus on personalization as the primary differentiator.

By marrying generative AI with persistent customer memory, Personize is positioning itself not just as another plug-in but as the connective tissue between data, content, and engagement. The real question: will marketing and sales teams embrace an AI that doesn’t just write for them but remembers everything?

If they do, this could be the start of a new era—where personalization finally lives up to its promise.

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Dashboards are nice, but executives don’t want more charts—they want answers. Apromore, a global player in process intelligence, thinks it has one. The company today announced Copilot for Performance Insights, a generative AI assistant designed to turn raw process data into plain-language insights leaders can actually use.

The new tool debuts as part of Apromore version 10.4, expanding the company’s Copilot portfolio beyond process discovery and simulation into diagnostic and performance benchmarking. The pitch: business leaders can ask questions in natural language and get reproducible, data-backed answers in seconds.

From Dashboards to Direct Answers

Copilot for Performance Insights is built to address rising cost pressures, compliance risks, and growing customer expectations—all while replacing dashboard fatigue with conversational AI.

Sample queries include:

• Which region has the slowest claim resolution times, and why?

• Are email claims more prone to rework than online submissions in Q2 2025?

• Where do we see role capacity bottlenecks?

• For Q1 2025 claims over $10K, which channel had the highest rework rate?

The system delivers answers grounded in advanced statistical methods, helping companies compare performance across regions, product lines, and channels. For leaders under pressure to cut costs, speed up SLAs, and scale best practices, the draw is clear: trustworthy insights, not just metrics.

Real-World Results

Early adopters are already reporting measurable wins. A global insurer cut rework rates within two months of deployment, while a financial services firm used Copilot to surface best practices across five regions—reducing complaint resolution times and lowering error rates.

“Executives don’t want more dashboards, they need answers they can trust,” said Apromore co-founder and CPO, Prof. Marlon Dumas. “Copilot transforms process optimization into a conversation, so leaders can diagnose, learn, and act with confidence.”

A Growing Copilot Portfolio

Since its 2024 debut, Apromore Copilot has evolved into a multi-tool AI assistant tailored to business operations. The lineup now includes:

• Copilot for Process Discovery: Conversational interface for mapping “as-is” processes.

• Copilot for Simulation: Run “what-if” tests to predict KPI impacts.

• Copilot for Process Optimization: Recommend actions to prevent KPI breaches.

• Copilot for Performance Insights: Benchmark performance and highlight best practices.

Together, they make enterprise-grade process intelligence accessible to non-technical users—essentially bringing process mining to the business side of the house.

Enterprise-Ready AI

Unlike generic analytics bots, Apromore stresses auditability. Each Copilot recommendation is explainable and reproducible, blending generative AI with the rigor of process mining and simulation.

“As AI matures, the differentiator isn’t just intelligence—it’s trust,” said Brandee Sanders, Apromore’s CMO. “With Performance Insights, we’re making AI actionable, auditable, and enterprise-ready.”

What Else Is New in v10.4

Alongside Copilot for Performance Insights, Apromore 10.4 introduces:

• Task Screenshot Capture-and-Replay: Records user interactions tied to process steps for more contextual task analysis.

• Process Model Syntax & Style Checker: Automatically validates process models against compliance standards.

These updates cement Apromore’s positioning as more than a process mining vendor—it’s betting on AI-assisted process optimization as the next frontier for enterprise performance.

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