1. How can businesses ensure that real-time AI-driven engagement does not come across as intrusive to consumers?

To avoid coming across as intrusive, real-time AI engagement needs to be rooted in relevance and respect for the customer’s context. It’s not about sending more messages. It’s about knowing when, where and how to engage in a way that feels timely and useful for each individual.

With Genie, we’ve built an AI-powered agent that learns at the individual level and generates contextual, brand-aligned content in real time. It factors in cadence, recency and personal preferences so that every touchpoint feels intentional and relevant. The goal isn’t just to act faster; it’s to act smarter with personalization that adds value.

2. How does Genie AI integrate with existing MarTech stacks to improve engagement and conversions? 

We built Genie to work with the systems brands already rely on. Not only does it add an agentic AI layer to the Resulticks suite of solutions, it also connects with CRMs, CDPs, POS systems, loyalty platforms, campaign tools and much more to create a truly 360-degree connected shopping experience for consumers.

Because all these systems are integrated, the AI can keep learning and improving with time. That’s where engagement and conversions continue to improve – when AI can act across the entire journey instead of being limited to just one channel or tool.

3. How can brands leverage AI to predict customer behavior and automate responses accordingly?

AI gives brands the ability to shift from reactive to proactive engagement. Instead of relying on historical reports or broad personas, platforms like Genie track behavior signals and micro-conversions in real time to anticipate what a customer is likely to do next, whether that’s engaging with a promotion, abandoning a cart, or dropping off entirely.

That predictive power becomes even more valuable when combined with automation. Genie acts on those signals instantly, generating brand-aligned content and activating personalized engagement across channels without waiting for manual inputs. It’s not about guessing. It’s about letting AI orchestrate dynamic, one-to-one experiences that evolve with the customer.

4. How do privacy regulations impact AI-driven customer engagement, and what best practices should brands follow?  

Privacy can't be treated as a feature. It has to be part of the foundation for any AI strategy. Genie was built with enterprise-grade compliance in mind, offering hybrid deployment options, built-in protection for personally identifiable information, and AES 256-bit encryption to meet global regulatory standards.

The best practice is straightforward: use AI to enhance consent-driven engagement, not work around it. When the value exchange is clear and the experience is personalized, customers are more likely to opt in. Transparency, minimal data collection, and respecting preferences are not just regulatory requirements, they’re essential to building long-term trust.

5. What are the key benefits of AI-powered customer journey optimization for brands? 

You can have the right content and channels in place, but if your customer journeys are fragmented, engagement breaks down. AI helps bring structure and clarity. With Genie, brands can track how customers move across channels, identify drop-off points, and adapt the journey in real time.

The impact goes beyond operational efficiency. It leads to better business outcomes, including faster conversions, higher engagement at key moments, and a greater ability to recover customers who might otherwise churn. Because Genie personalizes down to the individual, brands aren’t optimizing for the average, they’re optimizing for each person.

6. How does real-time AI engagement impact customer retention and lifetime value?  

Customer retention isn’t driven by volume, it’s driven by timing, relevance, and consistency. Real-time AI like Genie helps brands respond to customer behavior as it happens, creating a sense of continuity and care across every interaction.

When customers feel understood, they’re more likely to stick around. That’s where lifetime value grows. We’ve seen brands reduce campaign execution time by 40% and improve conversion rates by up to 35% using Genie. But the bigger win is consistency, because when engagement feels connected, customers keep coming back.

1. What role does strategic partnerships and technology innovation play in an organization’s growth plan?

At AdCellerant, strategic partnerships and technology innovation are two sides of the same coin regarding sustainable growth. Partnerships allow us to expand our reach, create better outcomes for our clients, and move faster with trusted allies by our side. Whether aligning with top-tier media companies or integrating with cutting-edge platforms, we view every partnership as a way to increase the value we deliver to small and medium-sized businesses.

On the technology side, our innovation engine is always on. We’ve built our Ui.Marketing platform to simplify complex advertising strategies, empowering businesses with automation, data-driven insights, and cross-channel execution at scale. When these two forces—strategic partnerships and technology—work in harmony, they become powerful accelerants of growth for us and our partners.

2. How does the role of a Chief Growth Officer differ from traditional executive roles in driving business expansion?

A CGO is uniquely positioned to examine the entire business and identify scalable, repeatable growth opportunities. While other executive roles might focus on operational efficiency, finance, or sales in isolation, the CGO’s role is to connect the dots across products, partnerships, marketing, and revenue.

At AdCellerant, that means constantly scanning the horizon for emerging technologies, market shifts, and ways to deliver more value to our partners. It’s not just about hitting growth targets; it’s about building the infrastructure, strategy, and culture that enable consistent expansion, without compromising quality or innovation.

3. What are the most significant trends shaping the future of advertising, and how do you plan to address them?

One of the biggest trends is the rise of AI and automation. Advertisers want to do more with less, and automation is becoming a necessity rather than a luxury. I also think it is important to mention the continued diversification of media consumption—Streaming TV, retail media, and first-party data strategies continue to play bigger roles.

We’re addressing these trends head-on by integrating AI-powered features into our platform, expanding our Streaming TV and retail media capabilities, and helping businesses future-proof their strategies in a privacy-first world. We aim to ensure that even the smallest business can access sophisticated, adaptive, and impactful marketing.

4. How is the digital advertising landscape evolving, and what new opportunities should businesses leverage?

The digital advertising landscape is evolving rapidly, with consumer behavior fragmenting across platforms and devices. What’s exciting is that this complexity is creating new opportunities for businesses to reach highly targeted audiences cost-effectively.

For example, small businesses can now advertise on streaming platforms, access premium inventory, and use dynamic creative tools that were once only available to big brands. With platforms like Ui.Marketing, these opportunities are more accessible than ever, helping business owners and lean teams do more with less. The key is to stay flexible, focus on measurable outcomes, and use tools that simplify execution without sacrificing performance.

5. How can businesses balance rapid expansion with maintaining service quality and innovation?

At AdCellerant, growth starts with listening. We stay closely connected to our partners to understand their challenges, goals, and evolving needs. Innovation isn’t about chasing the next shiny feature but solving real problems that drive meaningful outcomes. By keeping customer feedback at the core of our strategy, we ensure our roadmap delivers what truly matters.

From there, it’s about intentionality. We know growth without discipline can stretch teams thin, compromise service quality, and create friction. That’s why we’re actively building scalable systems—standardized workflows, flexible processes, and clear communication frameworks—to support our expansion while continually improving the experience we deliver.

6. What advice do you have for businesses looking to scale their digital advertising operations?

In digital advertising, adaptability is everything. What works today may not work tomorrow—so build a team and a mindset that can pivot quickly, test often, and evolve confidently.

That adaptability extends to the partnerships you choose. Just because something looks like a great idea doesn’t mean it’s the right fit. The right partnership should feel like an extension of your team—aligned in goals, transparent in communication, and built to grow together. Take the time to evaluate. The right partner won’t just check a box—they’ll accelerate your momentum.

Ultimately, clarity is what keeps everything grounded. When you understand your audience, define success, and recognize your gaps, you can make smarter decisions, choosing the right partner or investing in tools that scale with your business.

1. How is the integration of AI-native advertising platforms transforming the landscape of retail and marketplace monetization strategies?

The integration of AI-native advertising platforms is fundamentally reshaping retail and marketplace monetization by shifting the focus from traditional impression-based models to outcome-driven advertising. Retail Media Networks (RMNs) are leveraging AI and machine learning to connect ads directly to transactions, offering brands measurable outcomes such as return on ad spend (ROAS) and cost per order (CPO). With macroeconomic uncertainty pressuring advertisers to prioritize certainty and performance, AI empowers platforms to optimize campaigns in real time using first-party data, personalize user experiences, and drive sales. As a result, retailers are evolving into sophisticated media ecosystems where ad spend is tightly linked to tangible sales results.

2. How can businesses ensure that AI-driven advertising solutions align with their brand values and customer expectations?

To ensure AI-driven advertising solutions align with brand values and customer expectations, businesses must prioritize personalization that enhances rather than disrupts the customer experience. The rise of commerce media emphasizes the importance of relevance; consumers are increasingly resistant to repetitive or poorly targeted ads. Retailers and marketplaces should implement AI technologies that leverage real-time behavioral signals and first-party data to deliver tailored, assistive ads that feel organic and helpful. Maintaining a customer-centric approach, where advertisements align with shopper intent and context. Crucially, businesses must retain transparency and control over how personalization is applied, ensuring it aligns with brand trust and evolving customer expectations.

3. What considerations should be made regarding data privacy and compliance when deploying machine learning models that utilize customer data?

When deploying machine learning models that use customer data, businesses must carefully navigate privacy regulations and compliance standards. As first-party data becomes a cornerstone of effective advertising, safeguarding this information is critical. Companies should ensure that data collection is transparent, consent-driven, and strictly limited to necessary use cases. Additionally, anonymization, encryption, and adherence to regional privacy laws (such as GDPR or CCPA) are essential practices. AI models should be designed to operate within these frameworks, ensuring that personalization does not compromise user privacy. Building trust through responsible data stewardship will increasingly distinguish leading retail media networks.

4. How does the use of AI in advertising impact the attribution models and the overall understanding of customer journeys?

AI is revolutionizing attribution models and deepening our understanding of customer journeys. Traditional models that heavily relied on last-click or basic touchpoints are being replaced by AI-driven, closed-loop attribution that ties ad exposure directly to transactions. Machine learning enables deeper analysis of browsing behavior, purchase patterns, and engagement across the funnel, allowing retailers to attribute value to multiple customer interactions more accurately. This enhanced visibility not only improves media optimization but also empowers brands to allocate budgets more effectively and design targeted, high-impact campaigns.

5. What metrics are most indicative of success in AI-driven commerce media initiatives, and how can organizations effectively track and interpret these metrics?

In AI-driven commerce media initiatives, outcome-based metrics such as return on ad spend (ROAS), cost per order (CPO), and incremental sales lift are becoming the primary indicators of success. Unlike traditional reach or click-based metrics, these measures directly link ad activity to business results, aligning media performance with revenue generation. Organizations can effectively track and interpret these metrics by employing real-time analytics platforms that integrate first-party data and AI-driven optimization to dynamically adjust campaigns based on performance. Continuous learning and real-time optimization enable businesses to adjust campaigns dynamically based on performance, ensuring that marketing investments consistently drive measurable value.

6. How should organizations prepare to adapt to the evolving technological landscape to maintain a competitive edge in digital advertising?

Organizations should prepare for the evolving technological landscape by investing in scalable, outcome-focused commerce media infrastructure and building specialized teams that bridge commerce and advertising expertise. As retail media matures, successful players will move beyond experiments  and develop robust self-serve ad platforms, automate campaign management, and leverage machine learning. Agility will be key, not only to adopt new formats like in-store digital activations and cross-channel integrations but also to accelerate the cycle of testing, learning, and iterating. By aligning technology investments with customer-centric strategies and performance-driven metrics, organizations can position themselves for sustainable growth and have a significant competitive edge.

1. What measures are in place to ensure brand safety and suitability when utilizing AI-powered platforms for podcast advertising?

Sounder is the cornerstone of our brand safety and suitability framework. Sounder's AI transcribes, analyzes, and categorizes conversations within podcasts, creating detailed topic maps and IAB analysis for each episode. This goes beyond basic keyword identification to understand context and appropriateness of content.

Sounder's brand suitability system also allows advertisers to establish customized parameters that align with their specific values and messaging guidelines, ensuring ads only appear in contextually relevant and brand-appropriate environments. Since acquiring Sounder in 2024, we've integrated the system into Triton’s full ad stack for direct sold and programmatic podcast advertising using pre-bid targeting – meaning that instead of simply observing and reporting on content once published, we’re able to ensure that content is classified before publishing and avoid targeting leakage or errors.

2. How has the integration of AI-driven contextual targeting impacted your organization's podcast advertising revenue streams?

While we don’t share specifics, the integration has positively transformed our revenue landscape in several ways. We've seen substantial inventory expansion as previously untapped content becomes viable for advertising. Content that might have been overlooked in traditional genre-based targeting can now be monetized at an episodic level when they contains relevant conversations, creating new advertising opportunities without requiring additional content production. We've also seen increased advertiser confidence and spending attributed to their use of tools like Sounder. Buyers appreciate the precision targeting capabilities and brand suitability assurances, leading to higher investment levels through our Audio Marketplace. For our podcast creators, this has translated to increased revenue streams as their content attracts a broader range of advertisers beyond their primary category.

3. How do you evaluate the potential of AI-enhanced podcast advertising in reaching new markets and audience segments?

Through Sounder, advertisers can reach relevant audiences regardless of podcast genre, significantly expanding their reach. For instance, an automotive brand can target tech podcasts discussing transportation innovation. We're also analyzing how contextual targeting helps advertisers connect with niche interests that transcend standard demographics. This creates opportunities to reach underserved audience segments with highly relevant messaging. Recently, Sounder expanded its capabilities beyond English to include Spanish content, opening new doors for advertisers looking to connect with the rapidly growing Spanish-speaking audience. We continuously measure Sounder’s impact through performance metrics, advertiser feedback, and market expansion indicators to refine our approach and maximize the potential of this technology, always keeping an eye toward identifying untapped opportunities where AI can connect advertisers with receptive audiences they might otherwise miss.

4. How does your organization assess the effectiveness of AI tools in maintaining brand integrity across diverse podcast content?

Sounder provides deep contextual understanding beyond simple keyword matching, which has proven particularly effective for content from diverse creators whose conversations might be misclassified by less sophisticated systems. The effectiveness of our approach can be seen in our partnership with Urban One, where our contextual AI analysis reduced content restrictions from 92% to just 11% of their catalog, dramatically increasing monetizable inventory while maintaining brand safety standards.

5. What role do you foresee AI playing in the evolution of your organization's podcast advertising strategies over the next 3-5 years?

AI will fundamentally transform advertising strategies over the coming years. We'll move beyond topic identification to more sophisticated analysis of conversation dynamics, emotional context, and cultural relevance. This will create even more nuanced targeting opportunities for advertisers.

AI also opens opportunities for better podcast advertisement creation, in response to briefs, or creation in other languages. It can streamline the production process, enabling rapid generation of localized or tailored ad creatives that resonate more deeply with diverse audiences.

Throughout this evolution, we remain committed to balancing technological advancement with human oversight to ensure responsible and effective deployment of AI in advertising while maximizing returns for both advertisers and content creators.

6. How is your leadership team preparing for emerging trends and innovations in AI-powered podcast advertising?

Our leadership team is focused on strategic expansion of our AI capabilities through targeted acquisitions and partnerships. Our acquisition of Sounder in March 2024 represents a cornerstone of this strategy, bringing sophisticated AI-powered audio intelligence to our ecosystem where Sounder is also being integrated into our CMS offerings for workflow enhancements.

We're continuously enhancing these capabilities, as evidenced by our recent integration of Sounder with Spreaker in March 2025, enabling advanced contextual targeting across our network of 260,000+ independent creator podcasts. Additionally, our expanded partnership with Audioboom to implement Sounder across their extensive catalog demonstrates our commitment to scaling these innovations industry-wide.

As we look ahead, we're continuing to invest in enhancing our audio intelligence platform while expanding partnerships across the industry, ensuring Triton Digital remains at the forefront of AI-driven podcast advertising innovation while creating value for both advertisers and content creators throughout our ecosystem.

1. How is your organization adapting its content marketing strategies to leverage AI-powered platforms ensuring alignment with brand voice and business objectives? 

At Skyword, we believe AI should work for your brand not the other way around. As more content starts to sound the same, standing out with a clear, authentic brand voice and a focused topic ownership strategy is more important than ever. So, when we think about using AI in content marketing, our priority is making sure it reinforces what makes our own brand and each of our clients’ brands unique its voice, tone, goals, audiences, and focus areas not just churning out generic content.

We engineered our AI-infused content marketing engine, Accelerator360™, to do this with our Configure tool. It’s designed to take in all those brand-specific inputs such as voice, tone, business goals, audience personas, and messaging themes and apply them across every AI-enabled function in the platform so that every piece of content aligns with the brand's identity and strategic objectives and the data that’s used to inform things like AI-generated assignment briefs and campaign plans is relevant and specific to the brand.

To make it easy, brands can simply input their website URL, and Accelerator360™ will automatically pre-fill their Configure fields. It analyzes how the brand is currently presenting itself, identifies inconsistencies or opportunities for improvement, and surfaces where conversations are happening around the topics the brand wants to influence. It also maps out key themes and offers strategic guidance on how the brand should show up in those conversations to lead, not just participate. All of this information is editable, but it’s another way we can use AI-powered insights to actually improve and refine brand identity and strategy rather than copy/pasting inputs from a brand book that might be dated and lack context.

We’re really focused on removing the friction that often comes with getting AI tools to stay ‘on-brand’. If your team has to spend more time fixing the output than it would’ve taken to create it themselves, the tool’s not doing its job. So our goal is to make brand alignment not just possible, but effortless. That way, marketers can spend less time rewriting or re-prompting and more time actually moving the strategy forward.

2. How are you integrating cross-channel content atomization into your marketing efforts to maximize ROI and maintain consistency across platforms? 

This is where the right AI can be a game-changer for marketing teams. It all starts with strategy. We don’t treat cross-channel content atomization as an afterthought it’s something we plan for from the beginning. We identify the high-value, “hero” content we want to lead with, knowing it’ll serve as the foundation for an entire ecosystem of supporting content.

Historically, scaling that ecosystem required a lot of manual effort from marketers and content creators. But with Accelerator360’s Atomize tool, we’ve dramatically changed that. Once we have expert-created, high-quality source material, we run it through Atomize, which instantly generates platform-native content tailored for social, email, blogs, PR, sales enablement, and more. It even adapts tone and messaging based on different audiences and use cases.

What really sets this apart is that it’s not just about automation it’s about relevance. Because we’ve baked in brand-specific inputs and understand how each channel behaves, every asset still feels true to the brand and the environment it lives in.

The impact on ROI is huge. You’re getting more like 10 to 20 times the output from a single asset, and it’s hitting the market faster without needing multiple teams to manually recreate content for each touchpoint. It’s more efficient, more consistent, and ultimately, more effective.

3. How does your organization track and analyze the performance of content assets, and how are these insights used to inform future content strategies? 

At Skyword, performance tracking is baked into everything we do, and it starts well before anything goes live. We pull from a mix of audience insights, channel data, and client-specific intelligence to shape our content strategies from the outset so we’re not guessing what will resonate, we’re informed by where there’s actual interest and intent. Some of that data comes from us and some from analyzing our clients’ existing analytics. 

Once content is in market, we track performance across all key touchpoints SEO and AIO rankings, social engagement, web traffic, email metrics, and how content is converting and influencing sales. This gives us a clear view of how the full content journey is working, from awareness to conversion. We like to track how content is driving key events in this process—so specific audience actions we set out to impact—which tends to help brands stay more focused on the big-picture than if we were to get stuck on optimizing for leading indicators. 

Those insights directly inform the next wave of strategy. We look at what topics and formats are landing, which channels are converting, how seasonality impacts engagement, and where we can fine-tune the message to better speak to the audience’s needs. All of that data gets fed into our system, so that the system and the strategy keeps getting smarter and more effective over time.

4. In what ways are you leveraging AI-generated briefs and performance-enhancing recommendations to improve content quality and efficiency? 

At Skyword, we’re using AI not just to create content faster—but to make it smarter from the start. And we do that with AI-generated briefs and recommendations in a few ways beyond initial content planning and ideation: 

With Accelerator360™, every AI-generated brief is fueled by a mix of the brand-specific intelligence I mentioned earlier and real-time competitive analysis. As the brief is being built, the AI scans the top-performing content for the topic, then crafts a brief designed to outperform it—while automatically adjusting the angle and tone to match the brand’s voice, audience, and strategy. It’s not just about ranking; it’s about standing out and being more helpful than what’s already out there.

Marketers can also access AI-powered suggestions in the content editing and review process—whether it’s for improving quality, adjusting tone, or fine-tuning formatting. And when it’s time for a final polish, our AI Copyedit option is available to give the content that last layer of refinement.

We’re just as focused on helping teams get more from the content they already have. In real-time, Accelerator360’s Audit & Optimize tool can scan all the content across a domain, subdomain, or specific URL, analyze its performance, and make both technical and qualitative optimization recommendations, based on the latest SEO best practices and what’s currently top-ranking on the topic. Our AI can then optimize the content for you automatically or you can choose to implement changes manually. So, even content refreshes are data-informed to ensure content is more competitive and aligned to what audiences are searching for at the moment. 

5. How is your organization preparing for emerging trends in content marketing, such as the integration of interactive and video content formats? 

At Skyword, we’re keeping a close eye on how AI can further enable and improve the creation of content formats like interactive media and video, but we’re doing it with a disciplined, client-first approach. While AI has made incredible strides, there are still some quality and governance hurdles when it comes to fully generating interactive and video content. We govern our adoption of this technology based on the quality of output, governance protecting our clients’ data, and ensuring what’s produced is authentic and ownable.

Right now, we use AI to support the content creation process for interactive designs and video where it makes the most sense. For example, we leverage AI and data to develop video scripts and design guidelines, which are then handed off to our global talent network of expert human creatives to bring to life. This hybrid approach ensures the final product meets the high standards our clients expect.

Looking ahead, we're preparing to accelerate this process even further. Soon, we’ll be able to atomize human-crafted source content into short-form visual stories instantly—giving brands even faster ways to amplify campaigns across multiple channels, without sacrificing quality or originality.

In short, we’re ready to adopt emerging formats as soon as the technology meets our standards and in the meantime, we’re making sure our clients have the best of both worlds: the efficiency of AI plus the creativity and craft of top human talent.

6. How are you ensuring that your content marketing approaches remain adaptable to changes in consumer behavior and technological advancements?

Adaptability is at the core of our content marketing approach. When we built Accelerator360™, we didn’t just design it to work with a single AI model or a fixed creative workflow—and we certainly didn’t leave out the human element. We intentionally built in the flexibility to tap into our global network of expert creative talent wherever it's needed. Having both AI and human-driven options isn’t just nice to have—it’s critical to staying adaptable in today’s environment.

On the AI side, Accelerator360™ leverages a dynamic mix of large language models currently more than nine each selected for their strengths in specific applications. This "plug-and-play" approach allows us to constantly match the right technology and talent to the task, whether it’s boosting creativity, ensuring brand consistency, speeding up production, or responding quickly to shifts in consumer behavior. As models improve or new ones become available, we are ready to make them available to our clients.

We understand that modern content marketing isn’t one-size-fits-all. It’s about balancing creativity, differentiation, quality, speed, modularity, audience insights, and brand authenticity while also managing time and budget realities. We are committed to giving our clients access to the best and latest technologies, but we always keep creativity and brand integrity at the center of everything we do.

1. How do you see AI-powered search evolving in the next 3-5 years?

AI-powered search is evolving fast, and we’re just getting started. The way people search is already shifting, thanks to AI models that don’t just return links but summarize, expand, and refine queries in ways that make searching way more intuitive.

Over the next 3-5 years, we’ll likely see search engines becoming more specialized. Google has a massive advantage in real-time indexing and location-based search, while newer players like Perplexity are leaning into research-heavy use cases with built-in citation tools. Just like we already turn to different platforms for different needs Google for general searches, Amazon for products, YouTube for videos we’ll see AI-powered search engines carve out their own niches.

For businesses and marketers, that means adapting. AI-driven search engines prioritize authority, so it’s more important than ever to be a trusted, go-to source in your domain. High-quality, insightful content that establishes expertise is key because AI models will be surfacing and citing the most credible sources.

That said, AI-driven search also brings challenges. With platforms licensing data from sources like Reddit to train models, questions around content moderation, bias, and misinformation will only grow. AI engines aren’t just retrieving facts anymore they’re presenting perspectives, which means credibility and accuracy are critical.

The bottom line? The next generation of search will be smarter, more conversational, and more fragmented across different AI platforms. If businesses want to stay ahead, they’ll need to focus on authority, adaptability, and making sure they show up where it matters.

2. What are the biggest challenges organizations face in adopting AI-driven search solutions?

In my view, AI-powered search is changing the game just like mobile did years ago. The way people find information is shifting from traditional search to AI-driven experiences, where AI agents are doing the searching for them.

For brands, this means a new playbook. It’s no longer just about ranking on Google; it’s about showing up where AI models pull their information from AI Overviews to ChatGPT and Perplexity. In the past, if you ranked well, you had a shot at telling your story when someone clicked on your site. But now, AI decides which brands to feature, how they’re ranked, and sometimes even what to buy. The real challenge for brands today is figuring out how to adjust their marketing strategies for this new AI-driven world.

Enters BrightEdge’s new tool, AI Catalyst, to help brands see how they’re showing up across AI platforms like ChatGPT, Google AI Overviews, and Perplexity—and gives them the insights they need to stay visible and relevant. Everything’s in one place, so teams can stop guessing and start acting.

Just like we optimized for mobile, now we have to optimize for AI.

3. What are the key data security and privacy challenges associated with AI-powered search tools?

When I look at the AI search industry and speak with brands, user privacy and data collection consistently emerge as top concerns. Another major challenge is the need for sensitive company data to train AI models, which makes many businesses hesitant to adopt these technologies due to security, accuracy, and compliance risks. 

AI is still evolving, and we are actively refining solutions for content moderation and bias to ensure information remains accurate and credible. While progress is being made, there’s still work to do to get it right. Platforms like DeepSeek are introducing more transparency into how they generate answers, but many AI models still operate as black boxes. Brands need to prioritize AI-driven search solutions that provide clarity on how data is processed and surfaced.

4. How do organizations differentiate themselves in a market increasingly influenced by AI-driven search capabilities?

There are a couple of key ways organizations can stand out in an AI-driven search landscape, starting with building authority and trust. AI-powered search prioritizes credible sources, so brands that consistently publish expert-driven, well-structured content will surface more often. 

Second is optimizing for AI-driven search. Unlike traditional SEO, AI search engines rely on contextual understanding. Structured data, schema markup, and multimedia formats help AI interpret and categorize content effectively. The goal isn’t just ranking but ensuring AI can synthesize and serve your insights in meaningful ways.

Finally, search is fragmenting. Different AI models prioritize different search behaviors, so brands must ensure visibility across platforms like Google, ChatGPT, and Perplexity. Optimizing for one platform isn’t enough anymore. In sum, it's not just about ranking—it’s about becoming the source AI trusts.

5. How can AI-driven search be effectively integrated with other technologies like automation, analytics, or personalization engines?

The future of search is deeply interconnected with automation, analytics, and personalization and can be extremely powerful when well-integrated into these other areas of a business. For example, automation streamlines SEO workflows by handling tasks like keyword research and performance tracking, freeing up marketers to focus on strategy. And personalization engines use AI to understand user intent and deliver tailored content, experiences, etc., which boost engagement and conversions. By blending automation and analytics, businesses can refine their strategy dynamically, which in turn creates hyper-relevant, hyper-personal experiences that drive engagement and conversions.

6. What are the key metrics businesses should track to evaluate the effectiveness of AI-powered search?

You can start with the basics how you're performing in traditional search. Then, look at how visible you are in AI-generated responses and how people engage with them. Forget just tracking clicks; with AI doing most of the answering, that doesn’t tell the full story. Focus on metrics like impressions, share of conversation, and sentiment in those AI results. The first step is understanding where your brand shows up in AI responses, what the sentiment is, and how it compares to competitors. 

While clicks still matter in traditional search, with AI, it’s about how your brand is reflected in the answers. Tracking query refinements—whether users adjust their searches after an AI response—could be useful, but it's tough since only AI engines have that data. By understanding which metrics are available and then focusing on the ones that directly impact your brand presence, you can refine your strategy and stay ahead in the AI search landscape.

7. Do you believe traditional search engines will remain dominant, or will AI-driven alternatives redefine the search landscape?

With new AI-powered search platforms emerging every week, it may seem like AI-driven alternatives could overtake traditional search engines. But it’s still too early to tell. In reality, I believe traditional search engines and AI-driven alternatives will coexist, each serving distinct and evolving user needs. We’re already seeing this unfold with the rise of specialized, vertical search engines designed for specific industries and content types. Our latest research highlights the potential of DeepSeek’s "do it for me" approach where AI thinks first, searches second to redefine how users engage with search. There’s no question that AI-driven search is fundamentally reshaping the landscape, impacting both brands and consumers. Yet, Google still commands 92% of the market, and AI-powered search continues to rely on established SEO principles. As this transformation accelerates, the key for brands is to stay agile and optimize for visibility across all AI-powered search experiences.

1. How is innovation in digital marketing being redefined through the integration of new technologies like AI, AR/VR, or automation?

Innovation in digital marketing is undergoing a significant shift, driven by the rapid adoption of technologies like Artificial Intelligence (AI), Augmented Reality (AR) and Virtual Reality (VR), and automation. These tools are allowing businesses to create more personaliszed, efficient, and impactful marketing strategies than ever before.

AI, in particular, is transforming the way we approach data-driven marketing. It enables us to analyse vast amounts of data to understand consumer behaviours, predict trends, and optimise campaigns in real-time. At Phantom Digital, we’re leveraging AI to build bespoke marketing automation solutions that streamline workflows, enhance customer experiences, and drive measurable results for our clients. Whether it’s creating intelligent email customer journeys, optimiszing content to keep pace with the changing face of SEO, or generating leads, AI allows us to work smarter and deliver highly targeted solutions.

Automation is another game-changer, particularly for scaling marketing efforts. By automating repetitive tasks, businesses can focus on strategy and creativity. At Phantom Digital, we specialise in creating tailored automation customer journey workflows that save time and resources while ensuring consistent, personaliszed communication with customers.

While these new technologies are impressive, they are tools to enable greater creativity and efficiency. They allow businesses of all shapes and sizes to connect with their audiences in ways that are more meaningful, engaging, and results-driven. As a digital marketing professional, I’m passionate about staying at the forefront of these innovations and helping businesses make the most of this exciting new landscape.

2. How important is industry recognition (such as awards or nominations) in building credibility and momentum for digital agencies or marketing teams?

Industry recognition through awards and nominations plays a significant role in building credibility and driving momentum. In a competitive landscape like digital marketing, these awards help you stand out from the crowd. They also help build trust and confidence with potential clients, partners, and even your internal team.

Awards and nominations also help build momentum by attracting new opportunities. They enhance visibility, open doors to new collaborations, and often lead to organic referrals. For clients, it’s a reassurance that they’re working with a team that has a proven track record of success. Internally, recognition boosts morale and motivates the team to continue pushing boundaries.

That said, while awards are important, they are not the sole measure of success. At Phantom Digital, we balance recognition with tangible results client satisfaction, measurable ROI, and long-term partnerships. Industry accolades amplify our credibility, but it’s the consistent delivery of results that really drives growth and builds lasting relationships.

3. How do awards and accolades influence internal culture, client confidence, and talent acquisition?

Receiving awards also have an impact on our internal culture and talent acquisition. 

For internal culture, recognition is a powerful motivator. It boosts morale, fosters pride, and reinforces the belief that the team’s efforts are making a real difference. At Phantom Digital, we’ve seen how celebrating wins whether through awards or client milestones creates a sense of shared achievement. It energises the team to continue innovating and striving for excellence, which ultimately reflects in the quality of work we deliver.

For clients, awards act as a trust signal. They demonstrate that your agency is not only capable but also recognised by industry peers for its expertise and results. This reassurance is invaluable, particularly in industries like ours where clients often rely on referrals and reputation. Awards can also serve as a conversation starter for potential clients who are seeking proven expertise.

In a competitive job market, top talent wants to align themselves with companies that are leaders in their field.  So, for us, it’s about attracting people who are the right fit to complement our team dynamics.

4. What strategic balance should digital teams aim for between creativity and performance when developing campaigns for modern audiences?

In today’s fast-paced digital landscape, creativity captures attention, while performance ensures measurable results—both are equally important and interconnected.

Creativity is at the heart of any campaign. It’s what makes your message stand out amid the noise and resonate with your audience on an emotional level. However, creativity without strategy is not enough. To be effective, creative ideas must be rooted in a deep understanding of your audience, their needs, and their behaviours. At Phantom Digital, we ensure our creative concepts align with data-driven insights, so every campaign is not only engaging but also relevant and impactful.

Measuring, performance ensures that the campaign achieves its intended goals, whether that’s driving engagement, generating leads, or increasing conversions. This is where tracking, analytics, and optimiszation come into play. For instance, we use tools like A/B testing, tracking codes, and unique URLs to measure the effectiveness of campaigns and refine them in real-time. By constantly monitoring performance, we can ensure that our creative efforts are delivering tangible results.

Modern audiences expect campaigns that are both visually and emotionally engaging while also offering value and relevance. At Phantom Digital, we believe in starting with clear objectives and using data to inform creative decisions. This approach allows us to design campaigns that not only capture attention but also deliver measurable success. 

5. How have client expectations shifted in the past few years in terms of digital strategy, storytelling, and ROI delivery?

They’ve evolved significantly, as a result of advancements in technology, changes in consumer behaviour, and the increasing demand for measurable results.

Clients now expect digital strategies that are not only innovative but also highly targeted and data-driven. They want campaigns that are tailored to their specific audience, leveraging tools like AI and automation to deliver personaliszed experiences at scale. At Phantom Digital, we’ve seen a growing demand for marketing automation solutions that streamline processes and ensure consistent communication with audiences. Clients are also more focused on omnichannel strategies, ensuring their messaging is cohesive across all platforms, from social media to email and beyond.

Storytelling has become more important than ever, but expectations have shifted towards authenticity and relatability. Modern audiences are savvy—they can spot inauthentic marketing a mile away. Clients now want stories that resonate with their audience on a deeper level, reflecting their values, mission, and human side. It’s not just about selling a product or service; it’s about creating a connection. At Phantom Digital, we focus on crafting stories that align with our clients’ brand identity while addressing their audience’s needs and aspirations.

Perhaps the most significant shift has been in how clients understand and expect ROI. Today, clients demand transparency and measurable outcomes for every campaign. It’s no longer enough to simply deliver creative work; clients want to see tangible results like increased engagement, lead generation, and sales. At Phantom Digital, we measure ROI using tools like Google Analytics, social analytics, and client feedback. For industries such as financial services and renewable energy, we focus on metrics like user engagement, interaction, and sales to demonstrate the value of our work.

It’s our responsibility to adapt to these changing demands by staying ahead of trends, leveraging data, and delivering campaigns that not only look great but also drive meaningful results.

6. How are agencies and creative teams preparing to deliver value in a world driven by personalisation, sustainability, and purpose?

In today’s digital-first world, personalisation is no longer optional—it’s essential. Consumers expect tailored experiences that reflect their needs, preferences, and values. Agencies are leveraging data-driven insights, AI tools, and automation to create hyper-targeted campaigns that speak directly to individual audience segments. At Phantom Digital, we focus on building bespoke automation systems and workflow tools to deliver personaliszed content at scale. This approach ensures that every touchpoint feels relevant and meaningful, ultimately driving better engagement and loyalty.

Sustainability has become a key factor in consumer decision-making, and agencies are stepping up to help brands communicate their eco-conscious efforts authentically. Creative teams are prioritising sustainable practices in their own operations, such as reducing waste in production processes or using digital solutions to minimise environmental impact. Beyond that, they’re helping clients craft transparent messaging around sustainability initiatives, ensuring it resonates without coming across as performative. At Phantom Digital, we’re mindful of how we can align with sustainable practices while helping our clients do the same.

It’s the agency's job to help clients define and communicate their purpose in ways that connect authentically with their audience. For example, we work with clients to highlight their contributions to their communities, industries, or the environment, ensuring these messages are integrated into their broader marketing strategies.

By combining personalisation, sustainability, and purpose, we can help businesses not only stay relevant but also build deeper, more meaningful connections with their audiences.

1. In what ways can aspirational survey insights complement behavioral data to improve the effectiveness of AI-powered marketing campaigns?

Intention + action = marketing gold. What people say they want to do and what people actually do doesn’t always match up, and that’s where the opportunity lies. Our survey data asks a very hopeful question – where would you spend your free time or extra money. That gets people in their most optimistic state. Our behavioral data reports on what people actually do with their free time or extra money. That provides a look at people in their most realistic state. Analyzing the gaps and overlaps between the two data sources with ML and AI leads us to sharper insights and better creative ideas. 

2. What challenges might arise when combining AI-generated content with behavioral intelligence, and how can they be mitigated?

We believe that RYA makes our creative humans better, rather than serving as a substitute for them. With so much data at hand we sometimes over-rely on the numbers and forget about innate human qualities that make something better  – taste, nuance, and understanding of the variety of organizational, political, and cultural landscapes. It’s essential to not let AI take complete control. At this point in the evolution of AI content, humans still own the overall craft of what makes them professionals: produce the narrative, act on the insights, and explain the "why" behind their work.

3. What measures are essential to ensure consumer data privacy and compliance when utilizing behavioral data in AI-driven marketing? 

For advertisers and marketers, the combination of AI and BI comes with new opportunities and responsibilities. On one hand, we can craft more meaningful, timely experiences that drive deeper engagement and loyalty. On the other hand, we need to think critically about data ethics, consent, and transparency. Just because we can personalize down to the individual level doesn’t always mean we should – at least not without a clear value exchange and trust built with the audience. We continually align with privacy regulations and design strategies that put the consumer first – because the future of personalized marketing will belong to brands that are not only smart, but also respectful and human in their approach. This means, collect only what’s necessary and be clear about how the data will be used, ensure consumers have a clear, easy way to opt in and out while controlling their data preferences, and build internal guidelines to prevent bias and ensure AI decisions align with brand values.

4. How can small to mid-sized enterprises leverage such advanced AI-driven marketing tools to compete with larger organizations? 

The advance of AI-driven tools means a greater parity across marketing organizations, regardless of headcount, budgets, or industry. Previously, only Fortune 500 brands, and usually those in the consumer space, were known for highly creative and bold campaigns. Those companies were able to take risks and reap the rewards because of their large budgets and ability to test-and-learn into success. We have created RYA to allow any company to think boldly without the need to find their way over time. Using our proprietary audience data, RYA can generate insights on any audience (down to 0.25% of the US population) and then develop ideas that will resonate with that audience. We’ve seen RYA generate compelling ideas for new startups and for established Fortune 50 companies.

5. What metrics should be used to evaluate the success of marketing campaigns developed through the integration of AI and consumer behavioral data? 

The first way to know if a marketing campaign is successful is if it drives business results – awareness, consideration, purchase, loyalty, and so on. That is true for a campaign generated completely by humans or completely through AI. If it doesn’t change consumer behavior then it isn’t successful. Where AI tools like RYA help is through efficiency and effectiveness. RYA helps marketers go faster, cutting time spent on developing strategies and ideas by about 97%. RYA helps marketers think more broadly by generating ideas spanning 180 genres and finding new ways to engage a customer.  

6. How do you foresee the evolution of AI and behavioral data integration shaping the future of personalized marketing?

Just because we can do something doesn’t mean that we should. This is true for using AI to get to precise personalized marketing. Blending AI and behavioral data means we can get to near-infinite levels of personalization in the near future. But that could easily violate the trust brands have with their customers. Instead, we should use data to make people feel a part of something – attract them to content and experiences that we know they’ll love, interact digitally or in real life with people like them, make sure brands are additive and not interruptive.