FiscalNote is drawing a clear line under its legacy era. The AI-driven policy and regulatory intelligence provider announced it has successfully migrated customers from its older FiscalNote platform to PolicyNote, marking a pivotal step in its effort to unify products under a single, AI-first experience.

For a company operating at the intersection of public policy, data, and artificial intelligence, the move is less about housekeeping and more about long-term positioning. PolicyNote is designed to be the centerpiece of FiscalNote’s product-led growth strategy, replacing fragmented tools with a cohesive platform that blends monitoring, analysis, forecasting, and drafting into one workflow.

In an industry where policy professionals are often juggling multiple dashboards, alerts, and reports, consolidation matters. FiscalNote is betting that fewer tools—when powered by deeper AI—can deliver more value.

Why the Migration Matters

Platform migrations are notoriously risky. Customers resist change, workflows break, and churn can spike. FiscalNote says it avoided most of those pitfalls.

According to the company, the transition was completed with minimal migration-related churn and has already resulted in stronger engagement across key features. That outcome is significant, especially as enterprise and government-facing software buyers tend to be conservative about tooling changes.

PolicyNote replaces the legacy FiscalNote platform with a unified environment where legislative tracking, regulatory intelligence, impact analysis, and forecasting live side by side. The goal is to reduce friction in daily research while giving users more actionable insights, faster.

From a market perspective, the move aligns with a broader shift in B2B intelligence platforms: customers increasingly expect AI to surface relevance, not just data. Raw information is abundant. Context is the differentiator.

AI Features Driving Engagement

FiscalNote shared several usage metrics that suggest PolicyNote’s AI-centric approach is resonating.

One standout is Impact Summaries, which automatically translate policy developments into organization-specific implications. Users are now generating a custom Impact Summary in 34% of search sessions—a signal that AI-generated synthesis is becoming a default behavior, not an optional add-on.

Advanced analytical tools are also seeing heavier use. Features such as Bill Comparison and Similar and Related Bills—designed to help users understand how legislation evolves and connects across jurisdictions—have nearly doubled in usage since launch. That suggests policy teams are leaning into deeper analysis rather than surface-level tracking.

Perhaps most telling is the reported 252% increase in weekly active users on PolicyNote. FiscalNote attributes that growth to tighter integration of AI-generated summaries, forecasting, impact analysis, and drafting tools directly into everyday monitoring workflows.

In practical terms, the platform isn’t just helping users read policy—it’s helping them decide what to do next.

From Monitoring to Anticipation

Customer feedback underscores the strategic shift. Clarence Mingo, Vice President of Corporate Affairs and Government Relations at The Marzetti Company, describes PolicyNote as a move from reactive monitoring to proactive intelligence.

According to Mingo, customized dashboards and real-time insights now centralize critical information in one place, allowing teams to stay ahead of emerging issues rather than scrambling after legislation advances.

That framing reflects a broader trend across regulatory and compliance technology. As policy environments grow more complex and faster-moving, organizations want tools that anticipate change, not just report it. AI-powered forecasting and impact analysis are increasingly table stakes, especially for global enterprises navigating multiple jurisdictions.

Product-Led Growth, Applied to Policy Tech

FiscalNote CEO and President Josh Resnik positions PolicyNote as more than a product refresh. He calls it the cornerstone of the company’s product-led growth strategy—a notable phrase in a sector traditionally driven by enterprise sales and long contracts.

By focusing on usability, integration, and AI-driven insights, FiscalNote appears to be borrowing from SaaS playbooks more common in MarTech and analytics platforms. The logic is straightforward: if users engage more deeply and more often, retention improves and expansion becomes easier.

Completing the migration also creates operational leverage. Supporting one primary platform instead of multiple legacy systems allows FiscalNote to ship features faster, iterate on AI models more efficiently, and maintain a more consistent customer experience.

Resnik frames the milestone as both validation and a launchpad—proof that the strategy is working and a foundation for faster innovation ahead.

Competitive Context: AI as the Differentiator

FiscalNote operates in a crowded market that includes traditional policy tracking services, boutique research firms, and emerging AI-native platforms. What sets PolicyNote apart, at least on paper, is the depth of AI integration across the workflow.

While many competitors layer AI summaries or alerts on top of existing databases, FiscalNote is positioning AI as the connective tissue of the platform—linking monitoring, analysis, forecasting, and drafting in a single environment.

That approach mirrors trends in adjacent markets like MarTech and RevOps, where point solutions are increasingly giving way to unified platforms promising fewer handoffs and smarter automation.

The risk, of course, is execution. AI-driven insights only build trust if they are accurate, transparent, and consistently useful. Early engagement metrics are encouraging, but sustained adoption will depend on how well PolicyNote performs as regulatory complexity—and scrutiny—continues to rise.

What This Signals for the Industry

FiscalNote’s completed migration highlights a broader inflection point for policy and regulatory intelligence. The market is shifting from information delivery to decision enablement.

Policy professionals no longer just want to know what happened. They want to understand why it matters, how it compares to related developments, and what actions to take next—all without stitching together half a dozen tools.

By consolidating its offerings into PolicyNote, FiscalNote is signaling confidence that AI-driven synthesis and forecasting will define the next generation of policy intelligence platforms.

Whether that bet pays off long term will depend on how effectively the company continues to evolve the platform. But for now, the migration milestone marks a clear strategic reset—and a strong statement of intent in an increasingly competitive space.

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Netradyne is pushing fleet intelligence closer to the road—literally. The AI-powered fleet safety and performance company has launched Video LiveSearch, an industry-first capability that lets fleet managers search live video across every vehicle in real time using natural language prompts.

Unlike traditional fleet video workflows that depend on cloud uploads and manual digging, Video LiveSearch runs directly on the vehicle using edge AI. The result: near-instant access to the most relevant video moments, without waiting hours—or days—for footage to process.

For fleets that live and die by response time, that’s a meaningful shift.

From Reactive Investigations to Real-Time Awareness

Until now, most fleet video reviews followed a familiar pattern: an incident is reported, someone figures out which vehicle might be involved, cloud footage is requested, and teams sift through long timelines hoping they’ve guessed the right window.

That reactive model slows investigations and limits how proactively fleets can manage safety, compliance, and performance.

Video LiveSearch is designed to flip that dynamic. Fleet managers can type a simple, free-text query—such as a safety event, roadside condition, or operational scenario—and instantly see the most relevant before-during-after clips across a single vehicle or the entire fleet.

Instead of hunting for video, teams get immediate line-of-sight into where to look and what to pull.

Natural Language Search, Powered at the Edge

What makes Video LiveSearch different is where the intelligence lives. Netradyne processes and indexes nearly 100% of road-facing drive time directly on the vehicle, using its edge AI hardware.

Because the video is already searchable at the source, LiveSearch doesn’t have to wait for cloud processing to begin returning results. Searches complete in seconds, even across large fleets.

Every query surfaces the top matching clips, allowing teams to download only the footage that matters. The days of guessing vehicle IDs, timestamps, or trip details—and hoping for the best—are largely removed from the workflow.

According to Netradyne CEO and co-founder Avneesh Agrawal, this gives fleets “faster situational awareness to proactively understand what’s happening across their operations,” enabling quicker action and safer, more efficient outcomes.

Context-Aware AI That Understands the Road

Under the hood, Video LiveSearch relies on Netradyne’s context-aware edge intelligence, trained on real-world road scenes and driving behavior. The system doesn’t just match keywords—it interprets scenarios.

That allows a simple prompt to surface relevant video tied to operational and safety use cases such as school bus stop-arm compliance, proof of service, cracked windshield detection, or claims support. Crucially, it also delivers surrounding context, showing what happened before, during, and after the moment of interest.

This kind of semantic understanding is becoming increasingly important as fleets generate massive volumes of video data. Without smarter filtering, more cameras simply mean more noise.

Hardware as a Physical AI Sensor

Video LiveSearch is enabled by Netradyne’s D-810 device, which CTO and co-founder David Julian describes as turning each vehicle into an intelligent, multimodal sensor.

By combining video, AI reasoning, and on-device processing, the system can interpret what’s happening around drivers, vehicles, and passengers in real time. LiveSearch then makes that intelligence immediately accessible through search, rather than buried inside alerts or reports.

Netradyne frames this as a foundational step toward its broader Physical AI platform—technology that continuously interprets the physical world to support both rapid discovery and precision operations.

Two-Speed AI: Discover Fast, Act Precisely

Video LiveSearch also plays a central role in Netradyne’s “Two-Speed AI” strategy.

On one level, broad semantic search allows teams to quickly explore what’s happening across operations without waiting for new product features or rule-based models. On another, high-precision, domain-specific AI continues to power real-time coaching, safety alerts, and compliance workflows.

In practice, LiveSearch helps fleets identify where risks or inefficiencies exist, while more specialized AI systems handle enforcement and intervention. Discovery informs where deeper automation delivers the most value.

Responsible AI Built In, Not Bolted On

As AI-powered video search becomes more powerful, governance becomes harder to ignore. Netradyne says Video LiveSearch embeds responsible AI controls directly into its architecture.

An AI screening layer evaluates natural language prompts before they reach the edge reasoning engine, automatically blocking searches outside approved operational intent—such as identifying individuals or tracking license plates.

This design-first approach aims to preserve driver trust and prevent misuse by default, rather than relying on policy alone.

What It Means for Fleet Tech

Video LiveSearch reflects a broader trend in fleet and mobility technology: moving intelligence from the cloud to the edge to reduce latency, cost, and complexity.

As fleets scale and regulatory scrutiny increases, the ability to instantly surface the right evidence—without over-collecting or over-processing data—becomes a competitive advantage. Netradyne is betting that real-time, on-device search will be a key differentiator as fleet operators demand faster insights and tighter operational control.

For now, Video LiveSearch positions Netradyne at the forefront of what it calls Physical AI for fleets—where understanding the road, the vehicle, and the driver happens continuously, and insight is only a search away.

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Usercentrics is making a decisive move to connect privacy compliance with the fast-expanding world of AI agents. The Privacy-Led Marketing company has acquired MCP Manager, a next-generation governance platform for the Model Context Protocol (MCP), marking what it says is the first time a global data privacy leader has extended consent and data guardrails directly into AI-driven workflows.

The deal positions Usercentrics at the intersection of privacy, marketing, and AI governance—an increasingly crowded but still loosely defined space as enterprises rush to deploy AI while regulators catch up.

Why AI Consent Is Becoming a Board-Level Issue

As AI agents take on a more active role in personalization, customer engagement, and internal decision-making, they’re also gaining deeper access to sensitive systems like CRMs, analytics platforms, and customer data stores. That shift creates a problem: traditional consent frameworks were built for data collection, not real-time, model-driven interactions.

Usercentrics argues that this gap is quickly becoming untenable—especially in Europe. With the EU AI Act moving from phased rollout to enforcement this year, organizations can no longer afford to treat AI governance as a future concern.

By acquiring MCP Manager, Usercentrics is aiming to apply the same rigor used in consent management to how AI systems access, process, and act on data. The company frames this not just as compliance, but as a competitive advantage in an era where trust increasingly influences brand choice.

What MCP Manager Adds to the Stack

MCP, or Model Context Protocol, has rapidly emerged as a standard for connecting AI models to enterprise systems. What it doesn’t provide on its own is governance—specifically, visibility and control over whether AI agents are accessing data in ways that align with user consent and regulatory requirements.

MCP Manager fills that gap by acting as a policy-enforcement layer. It gives organizations a centralized control plane to monitor, explain, and enforce how AI systems use data across workflows. That includes scenarios where AI agents might otherwise pull CRM data without consent checks or produce decisions that are difficult to justify to regulators.

In practical terms, the technology enables companies to answer uncomfortable but increasingly common questions: Why did the AI access this data? Was consent in place? Can we prove it?

Toward a Unified Privacy-Led Marketing Suite

Post-acquisition, Usercentrics plans to integrate MCP Manager into a unified Privacy-Led Marketing Suite. The goal is a single platform that manages consent, preferences, and data governance across websites, apps, internal systems, and consumer-facing AI agents.

This matters because AI is no longer confined to the back office. Chatbots, recommendation engines, and AI-driven personalization tools now sit directly in front of customers, shaping experiences in real time. Extending consent into these interactions brings AI closer to the same compliance standards already expected for cookies, tracking, and data collection.

According to Usercentrics CEO Donna Dror, this shift reflects a broader reality: AI governance is no longer optional. Companies that delay risk not only regulatory exposure, but erosion of customer trust at a time when transparency is becoming a differentiator.

Governance Where AI Meets Data

One of the more strategic aspects of the acquisition is its focus on enforcement at the moment AI interacts with data—not after the fact. By governing access at the MCP layer, Usercentrics aims to prevent violations before they happen, rather than relying on audits or post-hoc explanations.

Michael Yaroshefsky, founder of MCP Manager, who joins Usercentrics as VP of Artificial Intelligence within its Chief AI Office, describes MCP as the natural enforcement point for consent and compliance. As regulations take effect, he argues, governed AI infrastructure will shift from being a differentiator to a baseline expectation.

This reflects a growing consensus in the market: explainability, consent, and auditability will become core requirements for enterprise AI, not optional features.

Market Implications

The acquisition underscores how quickly privacy vendors are repositioning themselves for the AI era. While many AI governance tools focus on model risk or bias, Usercentrics is betting that consent-aware AI will be the next frontier—particularly for marketing, personalization, and customer-facing use cases.

It also raises the bar for competitors in privacy tech, many of whom still treat AI as an adjacent concern rather than a first-class citizen in consent frameworks. As AI agents proliferate, platforms that can bridge marketing performance, compliance, and AI governance may find themselves with a durable advantage.

For now, Usercentrics is signaling that privacy doesn’t stop at data collection—and that in the age of AI, consent must travel with the data wherever models go.

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Constant Contact is doubling down on education as a growth lever for small businesses. The digital marketing platform has acquired select education and event assets from GURU Media Hub, bringing some of the most recognizable names in email marketing education into its ecosystem.

The deal includes GURU Conference, widely billed as the world’s largest virtual email marketing event; SubjectLine.com, a popular subject-line testing and rating tool; and Certified GURU, a fast-growing marketing education and certification program. Financial terms were not disclosed.

Taken together, the move signals a clear strategy: Constant Contact wants to pair its software with hands-on, results-driven guidance—and do it at scale.

Why This Acquisition Matters Now

Small businesses are under pressure to “do more with less,” especially in marketing. Budgets are tight, channels are fragmented, and AI-driven tools promise speed but often add complexity. In that environment, platforms that combine execution tools with practical education tend to stick.

Constant Contact has long positioned itself as an all-in-one platform for SMBs and nonprofits. By absorbing GURU Media Hub’s education and event assets, the company is strengthening a differentiator that many rivals still treat as secondary: community-led learning grounded in real-world outcomes.

This isn’t about adding more features. It’s about helping customers actually use what they already have—and use it well.

What Constant Contact Is Gaining

Each acquired asset plays a distinct role in the broader marketing stack:

• GURU Conference has built a reputation for high-energy programming focused on tactics marketers can apply immediately. Its virtual format has helped it reach a global audience, making it a natural fit for Constant Contact’s largely digital customer base.

• SubjectLine.com brings data-driven optimization into one of the most critical—and competitive—parts of email marketing. Subject lines remain a major driver of open rates, and the tool’s testing capabilities complement Constant Contact’s core email offerings.

• Certified GURU adds structured education and credentialing, giving marketers a way to validate skills and benchmark expertise in an increasingly crowded field.

Together, these assets extend Constant Contact beyond software into marketing enablement, a space where education, tooling, and community overlap.

Jay Schwedelson Joins as Brand Ambassador

As part of the transaction, GURU Media Hub founder Jay Schwedelson will become a Brand Ambassador for Constant Contact. He’ll continue to lead the creative vision and operation of GURU Conference while collaborating on content, education, and engagement initiatives across the Constant Contact ecosystem.

That continuity matters. GURU’s brand equity is closely tied to Schwedelson’s voice and philosophy: practical advice, no fluff, and a relentless focus on what actually works. Keeping that tone intact reduces the risk of the acquisition feeling overly “corporate” to its existing audience.

Importantly, GURU Media Hub will continue operating independently, with Schwedelson leading its growth and creative direction. This hybrid approach—tight integration without full absorption—mirrors how other B2B platforms have successfully preserved community-driven brands post-acquisition.

Education as a Competitive Advantage

For Constant Contact CEO Frank Vella, the acquisition aligns directly with the company’s mission to simplify marketing for small businesses.

Rather than flooding users with more tools, Constant Contact is betting that better guidance leads to better outcomes, which in turn drives retention and long-term growth. It’s a strategy that echoes broader MarTech trends, where enablement and adoption are becoming as important as feature velocity.

Competitors like Mailchimp and HubSpot have invested heavily in content and certification, but GURU’s appeal lies in its unapologetically tactical focus. That complements Constant Contact’s SMB audience, which often values clarity and speed over theory.

A Broader Industry Signal

This acquisition also reflects a shift in how MarTech companies think about scale. Growth isn’t just about adding customers—it’s about helping existing ones succeed faster.

By integrating events, education, and optimization tools directly into its ecosystem, Constant Contact is positioning itself not just as a platform, but as a partner in execution. In a market where AI promises automation but often delivers confusion, that human-centered approach could resonate strongly with small businesses.

As Jay Schwedelson put it, this isn’t about adding noise. It’s about scaling what works.

For Constant Contact, that means turning education and community into a core part of its value proposition—one that could prove just as sticky as any new feature release.

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Retailers have no shortage of data. What they lack is time. SymphonyAI is betting that agentic AI can close that gap.

The Vertical AI specialist today launched the next generation of CINDE Merchandising Agents, introducing a new class of autonomous, role-based AI agents designed to work the way merchants actually operate—weekly, promotion-driven, launch-focused, and reset-oriented. Built on Microsoft Foundry, the agents embed directly into core merchandising workflows, aiming to turn margin insights into action while the week is still unfolding.

Instead of waiting days for analysts to stitch together reports, SymphonyAI’s agents continuously analyze performance, explain what’s changing, identify why it’s happening, and recommend prioritized next steps—automatically.

From Lagging Insights to Live Merchandising Decisions

In most retail organizations, margin-impacting signals surface well before teams act on them. The delay isn’t due to a lack of BI tools—it’s caused by manual interpretation, cross-system analysis, and the handoffs required to make sense of performance shifts.

CINDE Merchandising Agents are designed to eliminate that lag. Rather than reacting after the fact, merchants can intervene mid-cycle, correcting issues before margin erosion compounds across weeks.

“Retailers are no longer reacting to what happened last week—they’re making profitable decisions while the week is still unfolding,” said Manish Choudhary, President of SymphonyAI Retail.

Four Agents, One Merchandising Rhythm

Unlike generic AI assistants, CINDE’s agents are purpose-built for specific merchandising roles:

• Merchant Planner delivers weekly sales insights and flags margin opportunities early.

• Promo Coach explains causal drivers behind promotion performance and recommends optimization moves.

• Launch Analyst surfaces early indicators of new item success—or failure—while there’s still time to course-correct.

• Reset Advisor evaluates post-reset impact and suggests next actions to recover or grow performance.

Together, the agents cover the full in-store merchandising lifecycle, aligning AI output to how merchants already plan, review, and execute.

Agentic AI That Explains the “Why,” Not Just the “What”

A key differentiator is causality. SymphonyAI’s agents don’t just detect anomalies; they explain what’s driving them.

In one real-world example, a regional grocer saw dairy sales decline and initially blamed competitive pricing. The Merchant Planner agent pinpointed the true cause within hours: Greek yogurt had been moved off eye level in a subset of stores during a planogram reset. The agent recommended restoring placement, allowing the retailer to recover margin the following week instead of losing another cycle.

That ability to connect performance shifts directly to operational decisions is where SymphonyAI sees “return on intelligence” becoming tangible.

Built on Microsoft Foundry, Focused on ROI

The agents are built using Microsoft Foundry, Microsoft’s framework for building enterprise-grade, action-oriented AI systems. According to Keith Mercier, VP of Worldwide Retail and Consumer Goods Industries at Microsoft, retailers are done experimenting.

“Retailers are looking for AI that moves beyond pilots and acts as a real margin multiplier,” Mercier said. “By aligning intelligence to the rhythm of weekly retail decisions, SymphonyAI is helping merchants turn insight into profitable action.”

This focus on ROI reflects a broader industry shift: AI in retail is moving from dashboards and forecasts to systems that actively shape decisions in real time.

Why This Matters Now

Merchandising remains one of the most margin-sensitive functions in retail, with outcomes decided store by store and week by week. As pricing pressure, assortment complexity, and labor constraints intensify, the cost of delayed action continues to rise.

By embedding agentic AI directly into merchandising workflows, SymphonyAI is positioning CINDE not as another analytics layer, but as an operational system that helps merchants act faster, more consistently, and with greater confidence.

Retailers attending NRF 2026 can see CINDE Merchandising Agents in action at SymphonyAI’s booth (#1915) and in Microsoft’s “Return on Intelligence” Showcase.

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BRMG is doubling down on its operator-led agency model by bringing in a seasoned marketer who’s spent decades bridging strategy with execution.

The Hover Group–backed firm announced that Kensel Tracy, a veteran marketing strategist and widely known “Marketing Coach,” has joined as an Operating Partner. The move expands BRMG’s capabilities in strategic marketing, sponsorship and partnership development, and AI-enabled business transformation—areas increasingly critical as agencies rethink how they deliver value beyond campaign execution.

A Strategic Hire for an Operator-Led Agency Model

Based in Ottawa, Tracy brings more than 30 years of experience spanning marketing strategy, advertising, communications, and partnership marketing across private-sector brands, government, tourism, associations, and non-profits. His résumé includes leadership roles at Byward Marketing Group, Octagon Communications, and Acart Communications, along with a long-running independent coaching and advisory practice.

That blend of agency leadership and hands-on advisory work aligns closely with BRMG’s thesis: experienced operators, not layers of management, drive better outcomes for clients.

“Kensel has spent his career helping organizations navigate real-world marketing challenges,” said Alex Verdurmen, President of BRMG. “His ability to think strategically while staying close to execution is exactly what our model is designed to support.”

Bringing AI Advisory Into the BRMG Ecosystem

A key part of Tracy’s role will be integrating his Centre for Business Transformation, an AI advisory and training platform, into BRMG’s operator network. The platform’s tools, frameworks, and programs will be embedded into BRMG’s playbooks, training, and client engagements.

That matters as agencies increasingly face client pressure to move beyond AI experimentation and into practical adoption—especially in areas like go-to-market strategy, partnerships, and operational efficiency.

Within BRMG, Tracy will advise clients on growth strategy, communications, sponsorship programs, and partnership ecosystems. He’ll also support BRMG’s work with non-profits, public sector organizations, and tourism and event clients, sectors where sponsorship and partnership models are often mission-critical.

Scaling a Model, Not Just a Roster

From Hover Group’s perspective, Tracy’s appointment signals a shift from validating BRMG’s model to scaling it.

“In many ways, 2025 was about proving the model,” said Matthew Hollingshead, Partner at Hover Group. “Bringing Kensel and the Centre for Business Transformation into BRMG is a launching point for 2026—growing the model, adding operators, and expanding disciplines.”

The hire also reflects a broader agency trend: assembling modular networks of senior specialists who can collaborate across shopper marketing, experiential, digital, and promotional disciplines without the overhead of traditional agency structures.

Strategy, Partnerships, and Execution—Together

As an Operating Partner, Tracy will work alongside BRMG’s existing specialists to build integrated programs that connect planning with execution, including brand partnerships, sponsorship sales, events, activations, and promotional campaigns.

“I’ve always believed the best marketing happens at the intersection of strategy, partnerships, and execution,” Tracy said. “BRMG is building a platform where experienced operators can focus on delivering their best work—and that’s exactly the environment I want to be part of.”

For BRMG, the addition strengthens its positioning as an agency platform designed not around services, but around people who know how to turn strategy into results—an approach gaining traction as brands demand more accountability, flexibility, and impact from their marketing partners.

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Intercept Music is sharpening its global growth strategy by adding seasoned leadership at the intersection of music, marketing, and technology.

The independent music distribution and marketing platform announced the appointment of J.C. Montes as Executive Vice President, Global Marketing & Strategic Partnerships, a newly expanded role designed to accelerate international expansion and deepen platform-driven partnerships. The move underscores Intercept Music’s ambition to become a go-to global destination for independent artists and labels navigating an increasingly data-driven music economy.

A Strategic Hire for a Global Expansion Phase

Montes brings more than 20 years of experience across Mexico, Latin America, and the U.S. Latin markets, combining commercial strategy, digital innovation, and hands-on artist marketing. His résumé includes senior leadership roles at Spotify, Amuse, and Universal Music Group, where he led regional growth initiatives and high-impact artist campaigns that helped shape Latin America’s modern streaming ecosystem.

“J.C. is a tactical force with a rare ability to bridge technology, marketing, and cohesive partnerships,” said Ralph Tashjian, Founder and Chairman of Intercept Music. “As we continue to evolve internationally, his experience across Latin America and the U.S. will be critical in accelerating growth and strengthening the value we deliver to independent artists and labels.”

Connecting Artists, Platforms, and Purposeful Partnerships

In his new role, Montes will oversee global marketing initiatives, build scalable partnership models, and forge alliances that connect artists more effectively with audiences and platforms. The emphasis on “purposeful partnerships” reflects a broader industry shift: independent artists increasingly expect distributors to provide more than distribution—they want marketing intelligence, audience access, and strategic leverage.

“What drew me to Intercept is the opportunity to redefine how data-driven platforms can better serve independent artists,” said Montes. “This is about moving beyond traditional frameworks and creating long-term value through technology, insights, and real partnership.”

Entrepreneurial DNA Meets Platform Scale

Beyond his corporate leadership, Montes is also a proven entrepreneur. He founded About Music, a boutique agency focused on digital innovation and audience development, where a data-first approach drove growth for independent catalogs. He also co-founded WKMX Records, a regional Mexican label under WK Records, overseeing marketing and artist development and helping expand WK’s footprint in the fast-growing Regional Mexican market.

That blend of entrepreneurial execution and enterprise-scale experience aligns with Intercept Music’s positioning as a technology-forward platform built to support long-term artist growth rather than short-term releases.

Why This Matters Now

The independent music sector is more competitive—and more global—than ever. As streaming platforms mature and algorithms become central to discovery, independent artists are looking for partners that can translate data into strategy and open doors across regions.

Montes joins Intercept Music at a pivotal moment as the company expands international operations, strengthens industry alliances, and invests in tools designed to help artists scale beyond regional boundaries. With Latin music continuing to drive global streaming growth, his appointment signals a clear intent: Intercept Music wants to compete where culture, data, and global audiences converge.

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SEO is no longer just about ranking blue links—and Scott Keever wants businesses to understand that reality before it’s too late.

The founder of Reputation Pros and a member of the Forbes Agency Council has released a new book, Future-Proof Your SEO: Staying Ahead in a Dynamic Digital World, aimed at helping companies survive—and compete—in a search landscape increasingly dominated by AI-driven platforms like Google AI Overviews, ChatGPT, and Perplexity.

Keever’s core message is blunt: traditional SEO tactics alone won’t cut it in a world where AI answers replace search results.

“The rules of SEO are being rewritten in real time,” Keever said. “Businesses that don’t adapt their SEO strategy for AI search will become invisible to their customers.”

SEO Meets AI: A Structural Shift, Not a Trend

The book arrives at a pivotal moment for search marketing. AI-powered experiences are collapsing the distance between query and answer, often bypassing traditional search results entirely. When users ask ChatGPT or Perplexity for recommendations, websites don’t compete for rankings—they compete to be mentioned at all.

That shift forces businesses to optimize for two audiences simultaneously: search engines and AI models trained to surface authoritative entities, not just keyword-optimized pages.

“When someone asks ChatGPT for a recommendation, your website doesn’t appear in a list of links,” Keever said. “You either get mentioned or you don’t.”

What Future-Proof Your SEO Covers

Keever positions the book as a practical playbook rather than a collection of SEO hacks. Drawing on more than a decade of experience delivering Page 1 rankings for hundreds of clients, he outlines a framework designed to remain resilient as algorithms—and platforms—change.

Key areas include:

• Sustainable, long-term SEO strategy

• Technical optimization fundamentals

• Content development built around authority, not volume

• Link building that reinforces entity trust

• Local SEO for real-world relevance

• Preparing for AI-generated search answers and entity-based discovery

Keever argues that most SEO advice ages poorly because it focuses on tactics instead of principles. His goal, he says, is to give marketers a way to adapt regardless of how search evolves next.

“Most SEO advice is already outdated by the time it’s published,” he noted. “This book gives business owners a framework for whatever comes next.”

Entity Signals, Authority, and Consistency

A recurring theme in the book is entity optimization—ensuring businesses are clearly understood and consistently represented across the web. AI systems reward brands with strong authority signals, credible content, and uniform information across trusted sources.

In practical terms, that means SEO now overlaps heavily with reputation management, content credibility, and brand consistency—areas where Keever has built his career.

Why the Industry Is Paying Attention

Keever’s perspective carries weight. He’s a contributor to Forbes, Entrepreneur, and Fast Company, and a member of the Fast Company Executive Board and Entrepreneur Leadership Network. His agency, Keever SEO, has earned accolades including the UpCity National Excellence Award (2023) and Best Cincinnati SEO Company of 2025.

His reputation management firm, Reputation Pros, was also named Top Reputation Management Consultant of 2025 by Tidewater News.

The broader takeaway: SEO is converging with AI strategy, content authority, and digital trust. Marketers who continue to treat SEO as a checklist risk being sidelined as AI-generated answers become the default discovery layer.

Future-Proofing Visibility

Future-Proof Your SEO doesn’t promise shortcuts. Instead, it reframes SEO as a long-term investment in authority, structure, and adaptability—qualities that matter whether a customer is searching Google or asking an AI assistant.

For businesses navigating the next phase of search, Keever’s message is clear: the future of SEO isn’t about chasing algorithms—it’s about being the most credible answer in an AI-driven world.

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