For years, the gold standard of media relations has revolved around securing placements in top-tier outlets – the New York Times, Washington Post, Wall Street Journal, and their esteemed peers. The logic was sound: these publications offered unparalleled reach, credibility, and influence. And, all things equal, traditional search ranking was boosted most by the bigger publications. But what if the ground beneath that strategy is shifting thanks to the rise of AI and a little-understood factor of Gen AI Engine Optimization (GEO) strategy? 

We’re seeing compelling evidence that the influence of these traditional titans, while still significant, is no longer the sole determinant of success. The media landscape is fragmenting, and a new power player has entered the arena: AI. 

The Hidden Influence of Smaller Publications 

AI models like ChatGPT, Gemini, Claude, Perplexity, and others don’t just skim headlines when they consume information; they ingest, analyze, and synthesize the full text of sources the model recognizes as authoritative and credible, especially news sources. And herein lies the critical distinction: for many of these powerful AI engines, full text access to premium, paywalled publications like the NYT, WaPo, or WSJ is often limited or non-existent.

This creates a fascinating dynamic. While your hard-earned placement in a major daily might still generate buzz within human circles, its impact on what an AI model considers authoritative or relevant could be surprisingly muted. Conversely, trade publications, industry blogs, and even smaller, regional outlets – often with more open access policies – are being devoured whole by these AI platforms. 

Adding a layer of complexity to this framework is that the search engines, publishers, and content producers are entangled in a web of legal gray area, with each protecting its own interests. Axios recently reported on the intricate web of licensing deals and lawsuits in this space, while Cloudflare is rolling out a pay-per-crawl tool to enhance content protections and make it harder (i.e. more expensive) for AI models to consume that content. In other words, the sources AI models access are a constantly moving target. 

What this all means for Comms teams is that when a user queries Generative AI or even Google for information related to your industry, brand, products, services, leadership, etc. the answers they receive are increasingly being shaped by the outlets these AI models can fully read and process. If your key messages are locked behind paywalls, they’re essentially invisible to this growing and incredibly influential segment of information consumption. 

The GEO Strategy: More Than Just Keywords 

Beyond content access, there’s another subtle but powerful force at play: GEO strategy. This refers to the geographic and local optimization that AI engines are increasingly employing. For certain types of queries, particularly those with a local or specialized bent, an AI might prioritize content from sources geographically closer to the user or those with a demonstrated focus on niche topics. 

This further reinforces the idea that a blanket “top-tier only” approach is becoming outdated. A highly relevant, well-researched article in a respected trade publication, even if it has a smaller traditional readership, could hold more weight with an AI than a broad-stroke piece in a national daily that isn’t as specifically tailored to the AI’s contextual understanding. 

Time to Rethink: Prioritizing the Trades and Niche Outlets 

So, what does this mean for your media strategy? It’s not about abandoning top-tier media entirely, but rather about recalibrating your priorities and expanding your focus. Your new top-tier should include: 

• Key Trade Publications: These are often the authoritative voice within your specific industry, and critically, many have more open access policies for AI. 

• Industry Blogs and Online Communities: Where your stakeholders are actively engaging and discussing relevant topics. 

• Specialized Newsletters and Research Platforms: Often overlooked, but highly valued by specific, influential audiences. 

The Challenge: How to Identify the Outlets that Actually Move the Needle? 

At PublicRelay, our philosophy is rooted in using quality data from varied and trusted sources to answer these and other tough questions Communicators face. 

Our robust outlet analysis approach goes far beyond traditional metrics like circulation to map out the best outlets and journalists to prioritize, given your specific business goals.  

We combine: 

• Psychographic and Demographic Data to pinpoint precisely which stakeholders value which outlets and why, so you can customize messaging accordingly; 

• Sharing Data to evaluate how content from different sources truly resonates and spreads;   

• Accurate Sentiment and Topic Analysis to ensure your messaging is landing effectively and driving the right conversations; and  

• GEO Analysis to surface those secondary outlets that ChatGPT and others prioritize, so your messaging breaks through in search responses.  

This holistic approach enables us to deliver truly targeted media lists that propel all of your goals: reaching your stakeholders where they are with the right messaging, including ensuring your voice is heard and understood in the increasingly influential AI engine results. 

Don’t let an outdated media strategy leave you behind in the age of AI. Let PublicRelay help you craft a forward-thinking, data-driven plan that ensures your messages are not just seen but truly absorbed by both human and artificial intelligence. 

Author: Liz Hogan, Senior Sales Engineer

Media coverage of CEOs has become an important proxy for corporate reputation. Leaders are no longer just operators of their businesses; they are increasingly seen as brands themselves. PublicRelay’s 2025 edition of our CEO Index illustrates how executives are perceived in the media and, more importantly, how their presence affects their companies’ reputations. 

The Index combines both perception and impact into a composite score. Perception reflects how the CEO is covered in the media (tone, reach, and visibility) while impact measures how that same coverage translates into reputation outcomes for the company. A consistent theme in the data is the widening gap between perception and impact. Many CEOs are highly visible and even well-liked, but their companies do not see a corresponding reputational benefit. 

Visibility’s Double-Edged Sword 

In the period leading up to Trump’s second term, CEO Perception and Impact Scores experienced a  spike, as many high-profile executives sought visibility by engaging with Trump and his administration. At the time, this media-friendly approach—being seen at Mar-a-Lago or in high-profile meetings—was widely viewed as doing what was necessary for their companies, sometimes drawing even positive press coverage despite political differences. However, this honeymoon period proved short-lived. As Trump’s policies on tariffs began to impact businesses and tech leaders became embroiled in public controversies, such as Elon Musk’s erratic influence on Tesla’s narrative, the mood quickly shifted and  scores dropped again. While visibility initially boosted CEO standing in the media, it soon backfired as those same meetings and donations led to sustained negative coverage. In other words, just “being visible” and courting influence is not a reliable long-term strategy. 

This is where executive communications plays a critical role. For a CEO’s presence to have a positive effect on a corporate brand, it has to be carefully connected to the company’s enduring strategic narrative—otherwise, fleeting publicity can do more harm than good. 

Archetypes That Reward Substance 

The Index identifies nine CEO archetypes depending on certain combinations of Perception and Impact. These archetypes range from the well-aligned “Brand Ambassador” to the reputationally risky “Villain.” Two of the less flashy archetypes are particularly noteworthy: 

• The Reluctant Hero: A leader who rarely seeks the spotlight but, when covered, emphasizes the company’s achievements and values. Their modest, authentic approach builds credibility and often improves the company’s reputation more than constant visibility would. 

• The Steady Operator: A leader who communicates consistently and factually, without spectacle. This archetype may not drive headlines, but they project competence and stability, which are essential qualities when markets are volatile. 

Both types represent CEOs who may not dominate media narratives but nonetheless contribute meaningfully to their company’s reputation by either positively impacting it, or at the very least, by not causing controversy. 

Case Studies of Quiet Effectiveness 

Recent case studies illustrate how understated leadership can deliver strong impact: 

• Verizon’s Hans Vestberg has steadily climbed the rankings by embodying the Reluctant Hero archetype. Rather than chasing headlines, he has highlighted Verizon’s AI-powered service improvements and cybersecurity investments. Coverage of these efforts portrays the company as competent and forward-looking, reinforcing stability in a sector where trust in technology is critical. While Vestberg’s average Perception Score has seen a slight decrease since 2022, his Impact Score has jumped. 

• In the finance sector, several CEOs have successfully shifted archetypes by dialing back personal visibility and focusing on results. Goldman Sachs’ David Solomon, once criticized for his DJ side-gig and off-beat return-to-office comments, retreated from that persona and returned to a more traditional leadership profile. Solomon’s quieter public profile signaled a retreat from Villain territory toward a more stable archetype. 

These examples demonstrate that quiet effectiveness is not about avoiding the media altogether, but about ensuring that media coverage consistently reinforces the company’s narrative rather than overshadowing it. 

Why Quiet Can Be Effective 

Some CEOs score higher on impact than perception. They are not household names like Elon Musk or Mark Zuckerberg, nor do they command constant media attention. Instead, they focus their communication on company performance, innovation, and stakeholder value. Their impact scores suggest that measured visibility, tied directly to the brand’s story, can be just as valuable as charisma or controversy. 

This matters at a time when CEOs are under intense pressure to serve as steadying figures. The public looks to them for signals of stability in the face of economic and geopolitical challenges. For executive communications teams, the task is to align messaging with that need, ensuring that even modest media appearances reinforce the company’s strengths and resilience. 

Implications for Executive Communicators 

The data suggests that visibility alone is no longer a reliable strategy. Executive communications teams should consider: 

• Evaluating the CEO’s current archetype and its alignment with company reputation goals. 

• Building strategies for high-impact, low-frequency engagements, especially when the CEO naturally fits the Reluctant Hero or Steady Operator mold. 

• Monitoring both perception and impact scores over time to identify when a CEO’s presence may be overshadowing or misaligned with the corporate narrative. 

• Studying sector-specific examples, such as finance and telecom CEOs, who have shifted archetypes by recalibrating their communications strategies. 

Conclusion 

Not every CEO will become a larger-than-life media figure, and that can often be for the best. The 2025 CEO Archetypes Index shows that quiet effectiveness can be just as valuable, if not more so, for companies seeking stability and trust. Executive communicators who recognize and support this kind of leadership can help ensure that a CEO’s media presence, however modest, delivers meaningful impact for the brand. 

Download the full 2025 CEO Archetypes Report to explore all nine archetypes and learn how they shape both perception and impact. 

Author: Kay Kavanagh, Director of Research

Getting Started

Since we last discussed this topic, AI has become a present-day necessity in PR & Communications. But knowing you need to use it and knowing where to begin are two vastly different things.

Many communications leaders feel the pressure to adopt AI but aren’t sure how to start, where to proceed with caution, or what “good” looks like. That’s why PublicRelay is helping clients simply begin by offering a low barrier but extremely strategic way to add AI into their toolkit.

Here’s what we’ve learned from working directly with communications teams using AI every day: what is working, where to watch out, and how a hybrid human-AI approach can help you move forward with clarity.

AI Is Reshaping Communications, But It’s Not a Silver Bullet

Artificial intelligence is now a foundational capability for modern PR and Communications teams. Used strategically, AI is reshaping how communicators gather insights, track narratives, and respond to risk. But we’ve seen firsthand: AI is only as strong as the strategy—and human expertise—behind it.

On its own, AI lacks the context, precision, and strategic nuance required to meet the high stakes demands of today’s media environment. That’s why the most effective PR teams are embracing a hybrid model that combines the speed and scale of AI with the insight and accuracy of human expertise.

Opportunity: Scale and Speed in a Noisy World

Every minute, millions of posts, photos, and videos are shared, viewed, and watched across social media channels like X, Instagram, TikTok, and YouTube. Joining nearly a million news articles published each day, the scale of public discourse becomes overwhelming. Parsing this vast landscape for relevant content, sentiment, stakeholder impact, and reputational risk is far beyond the capabilities of traditional manual analysis.

This is the clearest value of AI: helping communications teams keep pace with an information environment that simply moves too fast for humans alone.

Its ability to process and classify massive volumes of unstructured data quickly makes it ideal for surfacing high-level trends, monitoring message pickup, benchmarking competitors, and identifying sudden shifts in tone or topic. This kind of speed and scale is essential to helping communicators respond with agility and insight.

Pitfall: The Context Gap

Yet AI has limitations. Despite its speed and efficiency, it lacks the bespoke context and strategic understanding that communications leaders rely on to make high-quality decisions. AI models can hallucinate. They can miss nuance. And they struggle with the ambiguity and complexity that often define reputational risk or opportunity.

That’s why leading communications functions aren’t replacing human expertise, they’re strategically augmenting it. A hybrid model that pairs AI with human intelligence offers the best of both worlds: scale without sacrificing relevance. Humans continue to play a vital role in interpreting data, validating insights, and applying contextual understanding that machines alone can’t deliver.

PublicRelay helps clients walk that line, giving them confidence to start their AI journey knowing they’re supported by both responsible AI use and human judgment.

Start Here: Smart Ways to Add AI to Your Communications Toolkit

You don’t need to be an expert or completely overhaul your workflow to begin using AI. Here are a few ways PublicRelay is helping clients integrate AI responsibly:

Media Measurement at Scale

AI enables us to track and measure media coverage across millions of sources. Key messages, executive visibility, peer comparisons, and issue-based trends can all be monitored with speed and consistency. Human oversight ensures the accuracy and relevance of that data, especially when it comes to interpreting tone, intent, or subtle shifts in narrative.

Narrative Intelligence

Advanced AI models can now help identify not just what’s being said, but how topics are connecting across the media landscape. By surfacing patterns in sentiment, stakeholder voice, and narrative evolution, our team can help communicators spot emerging storylines, understand how public opinion is forming, and map the themes likely to dominate coverage.

Predictive Signals and Risk Detection

One of the most powerful developments in AI for communications is predictive modeling. By examining real-time indicators alongside historical media trends, AI can flag stories likely to accelerate in visibility (whether they represent a reputational risk or a positive opportunity). Early warning systems give communications leaders the ability to prepare responses, shape narratives, and steer internal alignment before the conversation takes off.

We’ve seen this approach help clients properly navigate media crises and also spot moments of opportunity early.

Custom Intelligence for Strategic Alignment

AI is most effective when its capabilities are tailored to the unique context of a business. Communications teams are increasingly building custom analysis frameworks aligned to their structure, goals, and stakeholders. We work with our clients to design bespoke AI applications that mirror their internal priorities, whether that means tracking specific narratives, evaluating executive visibility, or benchmarking key competitors.

Think of this as turning AI into your AI.

A Feedback Loop for Continuous Improvement

The most successful implementations of AI in PR evolve. Human experts serve as the feedback mechanism that keeps AI models accurate and relevant, particularly as business objectives shift or media landscapes change. This consistent feedback loop is a core part of how we ensure our clients’ insights remain both actionable and aligned with what matters most to their organization.

You Don’t Have to Be First, You Just Have to Begin

If you’re not already using AI, you’re not behind, you’re just ready to start. At PublicRelay, we’ve seen that the most successful teams aren’t the ones who jump headfirst into AI with flashy tools. They’re the ones who take a smart, strategic first step that aligns with their needs and grows over time.

The Future of Communications Is Hybrid

The future of Comms is about combining the precision of people with the power of technology. AI enables communications teams to scale analysis, anticipate emerging narratives, and respond with agility. Human expertise ensures that what’s surfaced is meaningful, accurate, and strategically useful.

In a world where the pace of information shows no signs of slowing, this hybrid approach should be standard. It transforms communications teams into strategic advisors equipped not just to monitor what’s happening but to shape what happens next.

You don’t have to master AI overnight. But you can start building a smarter, more proactive PR function.

Want to explore how AI can support your communications goals without overcomplicating your workflow? Let’s talk.

PublicRelay partners with leading brands to deliver the insight and clarity their teams need to lead.

Communicators are under increasing pressure to prove the value of their earned media efforts. But what makes media coverage truly valuable??

For years, the industry has leaned on metrics like volume, impressions, and AVE, numbers that often favor quantity over quality. While these metrics have their place, they fall short of capturing the true impact of media coverage. The ever-present push to prove value requires a shift in the conversation from how much coverage you’re getting to how much it actually matters.

Beyond Volume: Defining Media Value

True media value lies in context, quality, and strategic relevance. A single mention in a high-authority outlet that aligns with your brand’s key messages can be more impactful than dozens of low-quality clips. To understand this deeper value, we need to look at media coverage through a more sophisticated lens that considers not just visibility, but significance.

PublicRelay’s Media Quality Score (MQS) does that.

By combining five dimensions of media quality into one metric, MQS offers a contextualized, actionable view of media performance.

The Five Dimensions of Media Quality

To succeed in the GEO era, comms teams must rethink how they craft and distribute content. Here are four strategies to get started:

1. Outlet Credibility

Not all media outlets are created equal. Communicators should be able to assess the authority and prominence of the source, whether it’s a national publication, a respected trade journal, or a niche blog.

Example: A feature in The Wall Street Journal carries more weight than a mention in a low-traffic blog. Knowing definitively which outlet(s) move the needle most helps you prioritize higher-impact placements.

2. Topic Incidence

This measures the depth and richness of coverage. It’s not just about being mentioned; it’s about how thoroughly your brand is discussed and whether your strategic messages are front and center.

Example: An article that explores your company’s innovation strategy in detail would score higher than one that simply lists your name among competitors.

3. Tonality

Unlike machine-generated sentiment scores, MQS uses human analysts to evaluate tone with nuance and context. It also compares your brand’s tone to that of competitors.

Example: If your brand is portrayed more positively in a direct comparison to a peer, that’s more impactful than simply getting listed side-by-side in the same context.

4. Social Engagement

Earned media doesn’t stop at publication. MQS tracks how much traction your coverage gets on platforms like Facebook, X, and Pinterest.

Example: A story that sparks conversation and shares on social media amplifies your reach and influence.

5. Distribution

This component evaluates how widely an article is syndicated and republished.

Example: An article picked up by a wide syndication network and republished across industry sites has broader reach and impact than a single publication.

Media Quality Score: A Holistic Solution for Strategic Communicators

In sum, MQS is a strategic compass that helps communications leaders:

• Benchmark performance over time and against competitors
• Identify strengths and weaknesses in media strategy
• Present clear, compelling results to executives
• Focus efforts on what truly moves the needle

In a world where media noise is constant, MQS helps you tune into the signals that matter most, making it easier to understand the value your team is bringing to the table.

Contact the PublicRelay team to learn more about our Media Quality Score.

How AI is Changing Search and PR: The AI Inflection Point

In just a few short years, artificial intelligence has evolved from a buzzword to a business-critical capability in public relations. What began as cautious experimentation with AI-generated headlines has matured into a full-scale transformation of how PR and Communications teams operate, measure success, and shape narratives.

Increasingly, there are indicators that traditional media monitoring and SEO are not going to be sufficient in the AI future. AI-generated content discovery tools (like ChatGPT, Perplexity, and Google’s AI Overviews) are playing a growing role in how audiences find information.

We’re now seeing Generative Engine Optimization (GEO) emerge, i.e., the discipline of optimizing content to appear in AI-generated answers. As generative AI search results overtake clicks and AI-first search is normalized, GEO is quickly becoming an important part of the strategy for comms teams that want to stay visible and influential.

That said, while GEO is redefining visibility, it’s just one part of a much larger story. The real opportunity lies in how AI is helping PR teams optimize their entire communications strategy.

GEO as the Next Frontier: What it is and Why It Matters for PR & Communications

The emergence of GEO marks a pivotal shift in how communications teams must think about visibility and influence in an AI-first world.

Generative Engine Optimization (GEO) is the practice of structuring and distributing content in ways that increase the likelihood of being cited, summarized, or surfaced in AI-generated responses.

Unlike traditional SEO, which focuses on ranking in search engine results pages (SERPs), GEO is about being part of the answer, i.e., the actual text that AI tools generate in response to user queries.

• SEO = visibility through links.
• GEO = visibility through language.

This distinction matters. In a world where users increasingly rely on AI to summarize the web, being cited in the answer itself is more powerful than being buried in a list of links. GEO shifts the goal from clicks to influence.

Generative Engine Optimization in PR

To succeed in the GEO era, comms teams must rethink how they craft and distribute content. Here are four strategies to get started:

Prioritize Earned Media in Authoritative Outlets

AI models are trained on inputs from high-quality, trusted sources. That means coverage in outlets like AP, Reuters, and respected trade publications is more likely to influence and be surfaced in AI-generated answers. GEO starts with strong earned media.

Ensure Semantic Consistency

Use consistent language for brand names, spokespersons, and key messages. AI models rely on patterns, so the more consistent your messaging, the more likely it is to be recognized and reused.

Structure Content for AI As Well As Your Audience

Think like a machine. Use clear headings, concise summaries, and fact-based language. Avoid jargon. Make it easy for AI, and your human readers, to extract meaning and context from your content.

Leverage Thought Leadership

AI tools favor authoritative voices. Publishing original insights, expert commentary, and data-backed perspectives across channels increases the chances your content will be cited in generative responses.

Adapt or Be Ignored

As GEO reshapes how audiences discover content, PR metrics must evolve too.

• From pageviews → to presence in AI-generated answers
• From backlinks → to brand mentions in LLM outputs

If your brand isn’t showing up in AI-generated answers, you’re missing clicks and influence. While this can be a stressful new KPI to have to consider, AI can also help. Specifically, AI and human intelligence. The future of AI relies on high-quality data – which is foundational to all high-quality outcomes. With the right data and analytics, PR and Communications teams can combine the speed and scale of AI with the nuance and insight of human expertise to understand media coverage at scale while ensuring accuracy, quality, and a bespoke strategy that drives real impact.

You get the scale of AI and the storytelling power of human intelligence delivered intentionally to help your brand show up in high impact earned media, and therefore, is Generative Engine Optimized.

Is your brand showing up the way you want it to (or at all) in AI answers? If not, it’s time to optimize. Contact the PublicRelay team.

With Pride Month well underway, it’s a timely moment to reflect on the state of DEI in finance. Luckily, the findings from PublicRelay’s Q1 2025 Finance Benchmark Report offer a revealing snapshot marked by both progress and pullback.

The Disconnect Between Policy and Perception

Despite strong earnings and innovation-driven headlines, many financial institutions found themselves under the media microscope for scaling back their commitments to diversity, equity, and inclusion. The report highlights that diversity and inclusion in finance remains a reputational flashpoint, with DEI rollbacks drawing significant scrutiny.

Interestingly, this scrutiny didn’t always translate into internal backlash. In many cases, workplace sentiment remained neutral or even positive, suggesting a disconnect between how DEI decisions are perceived externally versus how they are experienced internally. This gap presents an opportunity for financial institutions to better align their messaging with their values.

Symbolism vs. Substance in DEI Commitments

One of the most revealing takeaways from the report is how surface-level changes, such as editing DEI language or quietly removing inclusive content, are being interpreted. Rather than being seen as strategic repositioning, these actions are often viewed as capitulating to political pressure. In the eyes of the media and stakeholders, this signals a retreat from core values.

For companies looking to lead during Pride Month, this is a critical lesson. Pride Month corporate responsibility isn’t about rainbow logos or one-time donations. It’s about demonstrating a sustained, authentic commitment to equity and inclusion. Symbolic gestures, while visible, are no substitute for meaningful action.

Leadership Matters: The Case of JPMorgan

Leadership plays a pivotal role in shaping the narrative around DEI in finance. Jamie Dimon, CEO of JPMorgan, offers a compelling example. While the bank did implement significant DEI policy changes, Dimon’s vocal support for diverse communities helped mitigate negative sentiment. His public stance was framed as a refusal to cave to political and legal pressures, reinforcing the importance of executive visibility in maintaining trust.

This underscores a broader truth: in times of reputational risk, leaders who speak clearly and consistently about their values can help steer the conversation in a more positive direction.

The Path Forward: From Compliance to Culture

During Pride Month and beyond, financial institutions have an opportunity to reaffirm and act on past commitment to diversity and inclusion. According to the data, this is the most likely route to avoiding negative coverage in the media and with stakeholders. Companies that remain transparent and consistent in their DEI efforts are more likely to earn the trust of employees, customers, and investors alike, bolstering their reputations in the process. In sum, values-driven leadership is good ethics and good business.

Communications teams rely on precise data to navigate complex stakeholder sentiment. For decades, polling has been a cornerstone of this effort, providing valuable, quantifiable benchmarks of opinion. However, in today’s 24/7 information cycle, relying exclusively on this static and inconsistent methodology to understand how stakeholders view your brand is insufficient. 

From a data science perspective, polling presents two core challenges: data latency and potential sampling bias. The insights are inherently retrospective—a snapshot of a moment in time. By the time the data is collected and analyzed, the narrative ground may have already shifted. This is compounded by the high cost of frequent polling and the inherent difficulty in surveying specific, influential stakeholders like policymakers who are often media-driven but survey-averse. 

While valuable, surveys should not be your only sentiment collection method. The path to a more robust strategy lies in augmenting polling data with more timely media intelligence. 

By applying sophisticated modeling to a daily firehose of traditional and social media, we transform millions of unstructured data points into a structured, continuous signal of stakeholder sentiment. This model is not a replacement for polling, but a vital complement that fills the critical gaps between your surveys. 

This dynamic signal helps capture emerging narratives and subtle shifts in public perception—often before they show up in polling data. That’s especially critical in the context of issues or crisis management, where early detection of minor negative turns in sentiment can provide a crucial window to act. Without this visibility, by the time a poll reflects trouble, the situation may already be escalating. 

When it comes to media intelligence vs polling, the smartest approach is not choosing one over the other, but combining them. When integrated, these two datasets provide a more complete, contextualized understanding. The poll offers the “what”—a structured measure of opinion. The media data provides the “why”—the daily narrative drivers and sentiment shifts influencing that opinion. 

Most importantly, this media signal functions as a leading indicator for your survey data. PublicRelay analysis consistently shows that sustained shifts in media sentiment and narrative are predictive of future polling outcomes. This foresight offers a significant strategic advantage: 

• Anticipate Outcomes: By tracking the daily media signal, you can forecast the likely results of your next survey, allowing your team to prepare and manage expectations. 

• Enable Proactive Intervention: More powerfully, this early warning allows you to move from a reactive to a proactive posture. Identifying an emerging negative narrative in the media data gives you a crucial window to intervene, launching a targeted communications strategy to reshape the conversation before that sentiment solidifies and is reflected in your polling. 

Fusing these two data streams—media intelligence vs polling—provides a more resilient, predictive, and strategically sound foundation for modern communications. It allows you to understand, anticipate, and ultimately shape stakeholder perspectives with greater precision and confidence.