United States

Generative Engine Optimization (GEO) Guide

Generative Engine Optimization (GEO) is transforming how brands show up in AI-powered search. Explore insights, strategies, and best practices to help your content rank and resonate across conversational engines like ChatGPT, Gemini, and Copilot.

Explore insights and strategies for Generative Engine Optimization (GEO) to help your brand stay visible and discoverable in AI-powered search.

Generative Engine Optimization (GEO) Blog Collection | Meltwater

Media monitoring helps organizations stay informed about what’s being said across online news, print, broadcast, podcasts, and other media channels. Whether you're tracking brand mentions, measuring PR performance, monitoring competitors, or identifying emerging trends, our expert guides, best practices, and industry insights will help you build a smarter media monitoring strategy and make more informed communications decisions.

Discover expert media monitoring guides, best practices, and industry insights to track brand mentions, monitor competitors, and stay ahead of the news.

Media Monitoring: Guides, Best Practices & Industry Insights

Every day billions of conversations take place on social media: tweets, posts, comments, blogs, reviews, podcasts, and much more.

Learn how to use social listening to make sense of all of that data.

On our social listening category page, you find all our blogs covering topics around social listening and social media monitoring. Read more.

Social Listening Blogs | Category

Business Reputation Management: What does it take to add reputation management to your marketing strategy? More importantly, how do you keep your reputation sparkly and shiny? Here’s your all-access guide to online reputation management for the long term.

On our reputation management category page, you find all our blogs covering topics around business reputation management. Read more.

Reputation Management Blogs | Category

From your brand's logo to your website, your social media presence to your customer support—these elements combined are what constitutes a brand in the minds of customers. But, there are thousands of other businesses that have a logo, website, social media presence, and website. So, how can you position your business on the market and make it stand out from the competition?

The key to success is branding & brand management!

On our brand management category page, you find all our blogs covering topics around brand management. Build your strategy and reach your goals!

Brand Management Blogs | Category

Competitive intelligence and the act of collecting competitive data can be seen as growth drivers for a company. Our guide will help you understand the concept of competitive intelligence (CI) by answering questions such as: What is the definition of competitive intelligence? How is competitive intelligence useful to organizations? What is the goal of competitive intelligence? And more.

On our competitive intelligence category page, you find all our blogs covering topics around competitive intelligence. Learn how to stay ahead.

Competitive Intelligence Blogs | Category

Let’s dive into the customer journey framework and how to optimize the process by creating a customer journey map and using metrics that matter when analyzing the customer journey.

On our customer journey category page, you find all our blogs covering topics around mapping and understanding the customer journey.

Customer Journey Blogs | Category

How do customers interact with my newly launched product?

How do I increase the productivity of my employees?

How do I know if my marketing efforts are working?

We have just two words for you...Data analytics!

On our data analytics category page, you find all our blogs covering topics around AI and data analytics. Technical and still easy to understand.

AI & Data Analytics Blogs | Category

Public relations and media relations can add impact to any marketing strategy. It’s an opportunity for brands to grow their reach beyond traditional sales messages. PR helps to shape the image you want people to have of your brand.

So, what is PR and how do you use it? This guide shows you everything you need to know to build a strong public relations foundation.

On our public relations (PR) category page, you find all our blogs covering public relations and communications topics. Step up your PR game.

Public Relations (PR) Blogs | Category

We all know exactly what the roles of sales or accounting are in a company, right? We might even have a slight idea of what the IT guys are doing.

But there is another business discipline, that plays a crucial role in organizations, even more so during the pandemic – internal communications!

But what exactly do we mean by that, what purpose does it serve and what steps can you take to ensure you and your employees will communicate effectively?

On our internal communications category page, you find all our blogs about internal comms topics. Learn about the intranet, internal newsletters, and more.

Internal Communications Blogs | Category

As the internet has taken root in more areas of our lives — everything from entertainment to shopping to paying bills and more — traditional marketing is becoming less impactful. As any marketer knows, you need to focus on where your audience is if you want to reach them. Since the average person spends about seven hours a day online, it’s no surprise that content has maintained its hold on marketers.

Here's a closer look at what content marketing is and why it matters more than ever in our digital-first economy.

On our content marketing category page, you find blogs about content marketing topics. Learn about strategies, KPIs, tips, and more. Make your content king!

Content Marketing Blogs | Category

The rise of the influencer marketing space – today a $10 billion industry, growing 50% per year – is one of the clearest examples of how social media is transforming traditional marketing. These days having a business website, presence on social, PR coverage, and your own content isn’t enough to compete.

We'll dive into the intricacies of influencer marketing to help ensure that you're equipped with the insights needed to be successful in this space.

On our influencer marketing category page, you find blogs about influencer marketing topics. Build your strategy, find influencers, and measure results.

Influencer Marketing Blogs | Category

Have you just launched a new product or service that you want to get the word out about? Maybe you want to share with consumers why it is awesome and how it is so much better than the one your competitors offer.

Well, then, there is one thing you can't do without...Marketing!

On our marketing category page, you find blogs about marketing topics. Learn about all the different angles and types of marketing and improve your results.

Marketing Blogs | Category

Building a following and using social media platforms to reach a wider audience requires a well-planned social media marketing strategy. In this guide, we’ll be looking at why social media marketing is so essential and how you can make it work for your business.

On our social media marketing category page, you find blogs about social media marketing topics. Learn how to get the highest paid social ROI!

Social Media Marketing Blogs | Category

In the fast-evolving realm of digital marketing and public relations, utilizing the right tools is crucial for success. Our interdisciplinary category showcases all the pertinent tools for digital marketing & PR. These tools help in enhancing your online presence and effectively reaching target groups, whether through reputation management, influencer marketing, or social media management.

On our digital marketing and PR tools category page, you find all our blogs covering topics around mapping and understanding the customer journey.

Digital Marketing & PR Tools Blogs | Category

Kim Cattrall takes the lead in a campaign celebrating the intelligence behind confident brand decisions.

Intelligence is always in style: Kim Cattrall stars in Meltwater’s new campaign

AI adoption is no longer the challenge—trusted context is. Most organizations have AI tools, but many still rely on disconnected, stale, or unverified data, limiting the quality and trustworthiness of AI-generated outputs. Meltwater MCP brings trusted, real-time intelligence into AI assistants.

Your Best Context is Already in the Room

See how one platform can power every decision across PR, communications, and marketing.

The Meltwater Blog

Blog Topics: Generative Engine Optimization, Media Intelligence, Media Relations, Social Listening, Consumer Intelligence, Influencer Marketing

Find out how you can leverage Facebook to boost your brand's online presence and gain a competitive edge. Explore the Meltwater category page today!

Facebook Blog | Meltwater

Find out how you can leverage Instagram to boost your brand's visual appeal and gain a competitive edge. Explore our category page today!

Instagram Blog | Meltwater

Find out how you can leverage LinkedIn to grow your professional network and gain a competitive edge. Explore the Meltwater category page today!

LinkedIn Blog | Meltwater

Find out how you can leverage TikTok to elevate your brand with creative content and gain a competitive edge. Explore the Meltwater category page today!

TikTok Blog | Meltwater

Find out how you can leverage X / Twitter to engage your audience effectively and gain a competitive edge. Explore the Meltwater category page today!

X / Twitter Blog | Meltwater

Find out how you can leverage YouTube to create engaging video content and gain a competitive edge. Explore the Meltwater category page today!

YouTube Blog | Meltwater

The teams getting the most out of AI right now have something in common. They didn't start with the technology. They started with a job they needed done, then brought trusted intelligence into the tools they already work in.
That's what the Meltwater MCP makes possible: you ask a question in plain language inside an assistant like Claude or ChatGPT, and you get a real-time, cited answer grounded in your Meltwater news and social coverage. Below are ten ways communications teams are putting that to work, with the kind of prompt each one starts from.

Why communications teams are exploring MCP

What the most successful teams have in common

The future of communications intelligence is conversational

Frequently asked questions about the Meltwater MCP for communications teams

Communications teams are under more pressure than ever. Information moves faster, news cycles are shorter, leadership expects AI-enabled speed, and everyone carries a duty to adopt AI responsibly. A generic assistant can match the speed, but it doesn't know your brand, your market, or the competitor who moved this morning.

The Meltwater MCP changes that in two ways that matter to comms work.

First, your team can call on Meltwater without logging into it. The intelligence comes to the assistant you already have open, so a trusted answer no longer depends on knowing your way around the platform. Current coverage and sentiment are within reach of everyone on the team, not only the people who run the searches.

Second, a comms task rarely stands on its own, and now it doesn't have to. Because the Meltwater MCP gives the assistant one consistent way to reach trusted data, your intelligence becomes one step in a larger flow of work. Upstream, you can gather context first: pull current coverage, then bring in your messaging guidelines or a product fact sheet already in the conversation. Downstream, you can turn that grounded overview into what you actually need, a first-draft statement, an executive email, a set of talking points, or a slide for the leadership update, without leaving the chat. The work starts from trusted intelligence and ends in a finished deliverable, in one place.

Executive media briefings. A leadership-ready overview of what's being said right now, built in the assistant and ready for a human to refine.

"Give me an overview of the top stories about [company] from the last 24 hours, with the coverage cited."

Conversational media monitoring. Brand and topic tracking asked the way you'd ask a colleague.

"Give me an overview of coverage trends for [brand] this week."

Streamlining weekly and monthly reporting. Coverage and share-of-voice updates assembled with far less manual work, so reporting stays current.

"Pull together a share-of-voice overview for [brand] versus [competitors] this month."

Early-issue awareness. Spotting an emerging issue as it develops, so the team has more time to decide how to respond. This is monitoring, not crisis management.

"Flag any emerging negative narratives about [company] in the past few hours."

Internal AI assistants for comms. On-demand intelligence for the wider team, so a trusted answer isn't gated behind the people who run the searches.

"What's being said externally about [topic], and how does it compare with our current messaging?"

Tracking executive visibility and thought leadership. A clear read on where leaders are showing up and how their message is landing.

"Give me an overview of media mentions of [executive] this quarter and where they appeared."

Competitive communications analysis. Faster, grounded comparisons of how your narrative stacks up against the market.

"How is [competitor] being covered this week compared with us?"

Campaign measurement. A quick read on how a launch landed, in coverage and sentiment, while it's still fresh.

"Give me an overview of coverage and sentiment for the [campaign] launch."

Identifying emerging topics and narrative shifts. Catching the conversations gaining traction before they become the story.

"What new topics are gaining traction in [industry] conversation this month?"

Communications intelligence across the business. The same trusted intelligence reaching marketing, investor relations, and executive stakeholders, not just the comms desk.

"Give me an overview of how [company] is being talked about across news and social this month for the leadership update."

In every one of these, a person still drives and edits. The Meltwater MCP takes the repetitive assembly off their plate; the judgment stays with the team.

The use cases matter less than the habits behind them. The teams seeing real value tend to:

Start with a real-world deliverable, not the technology. They name a specific job first, then bring the intelligence to it. 

Prioritize high-frequency tasks. They point MCP at the work they do every day, where speed compounds.

Keep humans in the loop. The assistant accelerates the research. The strategy, tone, and final call stay with the team. 

Work from trusted data sources. Better inputs lead to better answers, so they keep their searches clean and well-maintained.

Measure outcomes, not activity. They track things like faster reporting and better-informed decisions, not how many prompts they ran. 

The future of communications intelligence is conversational 

The shift underway is bigger than any one use case. AI assistants are becoming a primary interface for getting work done, and trusted intelligence is becoming something the whole organization can reach, not just specialists. The teams adopting that model now are building a real head start. The Meltwater MCP is how communications teams get there, with intelligence they can stand behind. To go deeper on how it works, see our guide to what the Meltwater MCP is. 

How are communications teams using the Meltwater MCP?

Teams use it to speed up media monitoring, build executive briefings, generate reports, stay aware of emerging issues, run competitive analysis, and support strategic decisions, all inside the AI assistant they already work in.

Can AI assistants access media monitoring data through the Meltwater MCP?

Yes. The Meltwater MCP lets assistants securely access a customer's authorized Meltwater news and social coverage, so users can analyze coverage, get an overview of news, and answer communications questions in plain language.

Is the Meltwater MCP useful for crisis communications?

It's most useful for early-issue awareness. Teams use it to monitor coverage, identify emerging issues, and read narratives as they develop, so they have more time to decide how to respond.

Can communications teams build their own assistants with the Meltwater MCP?

Yes. Teams with the right permissions can connect Meltwater intelligence to internal AI assistants tailored to their workflows, and keep building on their existing searches and assets inside the assistant.

What should teams consider before getting started?

Start with one clear, high-frequency use case, make sure permissions and governance are in place, work from trusted searches, and measure the business outcome before expanding.

Discover how Meltwater MCP is already helping PR and comms leaders

10 Real-World Ways Communications Teams Are Using the Meltwater MCP

A few years ago, the hard part was getting in the door. Through 2023, communications and marketing teams spent real energy building the case for generative AI: securing budget, clearing security review, and convincing leadership the investment would pay off. Today, most of those teams have the access they fought for, and then some. Adoption has outrun the rollout plans, with 71% of employees reporting they use AI tools at work that were never officially approved (Business Insider). 

So the real question has changed. It's no longer a question of whether your team can use AI. It's whether the AI is working with context that matters. For most organizations, the data context isn't ready: 58% describe their own data environment as chaotic, which means a confident-sounding answer may be built on stale, scattered, or unverified information. 

At Meltwater, we believe trusted intelligence should live wherever your team already works. That belief is why we built Meltwater MCP.

Here’s what we keep seeing: generic AI assistants answer from training data or from whatever they can crawl on the open web. They're fluent, fast, and often convincing. What they lack is the signals that drive decisions:  your brand, your market, the competitor who made a move this morning, and the judgment your team has spent years building.

There's a workaround, and plenty of teams use it. Someone logs in to Meltwater, runs the full workflow, exports a .CSV, and rebuilds the report by hand before the AI ever sees it. It works, and it'll keep working for the power users who know exactly what they need. But it's slow, it breaks the moment the context changes, and it puts a quiet quality-check burden back on the team. Most of the people who need a trusted answer would rather not run the whole workflow to get one. 

The missing piece is context. Your team already holds the most valuable part of it: the category knowledge, the relationships, the instinct for tone and timing. What's been missing is a clean way to bring trusted, current intelligence into the AI tools where that expertise already lives. 

Meltwater MCP closes that gap. MCP stands for Model Context Protocol, an open industry standard for connecting AI assistants to the data and systems they work with. Think of it as shared plumbing the industry is adopting, not a product of ours. Meltwater MCP is built on that standard. It brings trusted, real-time Meltwater intelligence into the AI assistants your team already uses, including leading AI assistants, custom agents, and AI workflows, as a set of capabilities they can call on directly. 

The experience is straightforward. You ask a question in plain language, and you get an AI-generated answer with cited sources behind it, scoped to the products in your plan. Access grows with the Meltwater products you subscribe to. Meltwater MCP extends Meltwater into more of your organization, and it builds on the searches and assets your power users already maintain. The better that foundation, the better the answers it returns. 

This isn't new ground for us. Meltwater has supported MCP since 2025, when many teams were still hearing the term for the first time. Everything in this release is built on what we've learned running it with customers in the year since. 

When we started, we asked a handful of customers to map their Meltwater intelligence workflows so we could learn from them. One of them, a global consumer goods company whose products are probably in your kitchen, told us something I think about often: “We're not software experts. We sell ice cream.” They were right, and they shouldn't have to be software experts to get a trusted answer. 

That's the heart of what changes. With Meltwater MCP, that same team can plug in and work conversationally. Their expertise becomes the context. Their knowledge of the category, their voice, and their best practices combine with governed Meltwater data, and they can move from a question to a finished overview or a first draft in one place, work that used to mean clicking through several Meltwater screens and assembling it by hand.

Conversational brand and topic monitoring, asked the way you would ask a colleague. 

Sentiment and narrative reads on demand, grounded in current coverage.

A first-pass executive brief or content draft, built from what's being said about you right now.

The answers hold up, too. Narrative responses cite the coverage behind them, so your team can verify what they share and stand behind it at the leadership level. And trusted intelligence reaches the whole organization, not just the people who run the searches. We've already seen it: at a global home appliances brand, what began with a single analyst team spread across the company, with employees running their own internal hackathons on top of it.  

And it wasn't one company's idea. Across early programs at a global restaurant group and a pharmaceutical company, teams independently arrived at the same goal: a finished deliverable built inside their own AI environment, without the manual export step.

What makes these answers dependable is the content underneath them. Meltwater ingests more than 1.3 billion documents a day across news, social, web, and industries, in more than 240 languages, with the structure, governance, and historical depth behind it. Meltwater MCP grounds every answer in that licensed coverage and scopes it to what each customer subscribes to. It's one governed connection across the Meltwater portfolio, with authentication and tool permissions built in, so your team gains reach while you keep control.

The part I'm most excited about is the loop this creates. Our customers understand their business context better than anyone, and the more they bring it, the more we learn about the answers that matter to them. That feedback makes Meltwater MCP better for every team that uses it. It's how we deliver on the idea we started with: trusted intelligence, wherever your team works with AI.

Meltwater MCP is Meltwater's implementation of the open Model Context Protocol (MCP), which connects leading AI assistants, custom agents, and AI workflows to trusted, real-time Meltwater intelligence. It enables users to ask questions in natural language and receive AI-generated answers grounded in licensed media, social, and web data with source citations.

How is Meltwater MCP different from using leading AI assistants on their own?

General-purpose AI assistants primarily rely on their training data and publicly available information. Meltwater MCP augments those assistants with governed, up-to-date intelligence from your Meltwater subscription, giving responses access to current news, social conversations, brand monitoring, and other proprietary insights relevant to your business.

What can teams use Meltwater MCP for?
Teams can use Meltwater MCP to monitor brands and topics conversationally, analyze sentiment and emerging narratives, generate executive briefings, draft content, and answer business questions using current, trusted intelligence—all without manually exporting data from Meltwater first.

Why can organizations trust the answers generated through Meltwater MCP?

Meltwater MCP grounds responses in licensed, governed Meltwater content spanning news, social, web, and other sources, with citations that allow users to verify the underlying information. Access is scoped to each customer's Meltwater subscription and protected by built-in authentication and permissions, helping organizations balance AI productivity with governance.

AI is now a core part of modern marketing, not an emerging trend. Brands need to embrace AI-powered systems to remain at pace with competitors. 

Marketing teams use AI in a number of ways: to create content, analyze audiences, and optimize campaigns in real time — but adoption comes with new expectations around transparency and trust.

A new Meltwater report, in collaboration with YouGov, on the public perception of AI shows AI conversations have increased significantly, with mentions rising 53% year-over-year. So as companies ramp up their usage, it's important to remember that AI and it's permeation online are also on the consumer mind.

What are the benefits of AI in marketing?

How do consumers feel about AI in marketing?

AI in marketing is the use of artificial intelligence technologies — such as machine learning, natural language processing (NLP), and predictive analytics—to automate decisions, generate content, and improve marketing performance.

These technologies allow marketers to analyze large volumes of data, identify patterns, and act on insights faster than would be possible manually. As a result, AI can be used to personalize customer experiences, optimize campaigns, and improve targeting across channels.

 As of 2026, AI has been embedded across all different kinds of marketing workflows, from content generation to media monitoring and audience intelligence. What was once considered experimental is now a foundational capability for many marketing teams.

<table class="table-primary alternate-color">
  <thead>
    <tr>
      <th>AI Use Case</th>
      <th>Marketing Application</th>
      <th>Outcome</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Content generation</td>
      <td>Blogs, ads, emails</td>
      <td>Faster production</td>
    </tr>
    <tr>
      <td>Social listening</td>
      <td>Brand monitoring</td>
      <td>Real-time insights</td>
    </tr>
    <tr>
      <td>Predictive analytics</td>
      <td>Campaign optimization</td>
      <td>Higher ROI</td>
    </tr>
    <tr>
      <td>AI visibility tracking</td>
      <td>Monitoring AI outputs</td>
      <td>Brand accuracy</td>
    </tr>
  </tbody>
</table>

AI offers a range of benefits that help marketing teams operate more efficiently and effectively. By automating repetitive tasks and providing deeper insights, marketers are able to focus more on strategy, creativity, and building stronger converting campaigns.

AI enables teams to produce content at scale. AI tools can help generate blog posts, ad copy, emails, and social media content in a fraction of the time it would take manually, enabling teams to produce more content and improve their discoverability.

AI can analyze customer behavior and preferences on deeper levels and at scale, to deliver highly targeted messaging, improving engagement and conversion rates.

Use AI to process large datasets and uncover trends, sentiment, and performance insights that would otherwise go unnoticed.

Routine tasks such as reporting, segmentation, and campaign optimization can be automated using AI, freeing up time for higher-value work.

Predictive analytics helps marketers allocate budgets more effectively and optimize campaigns in real time.

Machine learning marketing is already making an impact on real brands. It's improving business processes with artificial intelligence and generating more effective marketing campaigns.

It's not industry-specific either. It’s spurring complete revolutions in how companies across industries start and operate. See these AI-driven lawtech startups, for example.

This approach to using AI in marketing is similar to how Spotify delivers relevant song, artist, and playlist suggestions. Learn more about its algorithm and how AI is helping Spotify lead the music streaming world.

Marketing extends far beyond the digital space, even in an era where online channels dominate. At its core, marketing is about guiding products and services from concept to customer—ultimately creating demand for what your business offers.

So where does AI-driven marketing fit in? To build meaningful demand, you first need a clear understanding of your audience. 

Effective marketing depends on knowing who your customers are, what they care about, and how they engage with content. Without that insight, even well-executed campaigns can miss the mark.

From identifying and understanding your audience, AI-powered tools can help you build detailed buyer personas and audience segments.

Social listening, in particular, enables you to collect richer, more nuanced customer data. By analyzing real conversations, you gain valuable insight into preferences, behaviors, and sentiment. This allows you to move beyond a one-size-fits-all approach and develop more targeted, relevant strategies.

With intelligent audience segmentation, you can refine your marketing efforts based on real customer behavior across the entire customer journey—resulting in more effective, personalized campaigns.

You have keywords, trending themes, and influencer profiles—but how do you turn that data into meaningful insights? The next step is analysis. And when powered by AI you can go beyond surface-level metrics to uncover deeper patterns in your data, enabling better marketing decisions.

AI-powered tools make a measurable difference in helping teams look beyond vanity metrics for deeper insights. Quantitative metrics alone don’t tell the full story of campaign performance. 

Social listening platforms like Meltwater provide a look into what audiences are actually saying, how they feel, and where those conversations are happening.

As a result, proving ROI becomes more straightforward. Instead of relying on selective data points, marketing teams gain access to comprehensive, data-driven insights. Features like sentiment analysis, image recognition, and heat maps offer clear visualizations, making it easier to interpret performance and assess the success of each campaign.

Meltwater helps marketers understand more about their audience and brand. AI-driven marketing insights you can glean using Meltwater include:

How competitors are perceived in the market

Influential voices driving the conversation

What's trending in different markets and for different audiences

Predicting trends before they peak offers marketers a major advantage. Tapping into real-time media trends means establishing authority on a subject early on.

Understanding these trends and conversations can help marketers optimize campaigns. Today, AI can collect online customer insights to build profiles and use them to create more relevant marketing.

Meet Mira, your AI marketing assistant within Meltwater

Mira Studio delivers on-demand insights and handles the heavy lifting of analysis, so you don’t have to. 

Introducing Mira - The Power of Meltwater AI, Unleashed

With prompts like "Summarize social media discussions in [Insert Timeframe] about [Insert Topic] in [Insert Geographical Region]" you can instantly get all the information you need to move forward with various campaigns or marketing initiatives. Track how they're received with a prompt like: "Can you create a social media performance report for [Insert Brand] [Insert Timeframe]".

Mira is your AI-powered teammate, ready to make your marketing activities more streamlined, providing deeper insights and breaking down complex datasets into straightforward takeaways that support real work.

Tip: learn how Meltwater uses AI and find out more about Meltwater's AI-Powered PR Assistant

While AI offers significant advantages for marketers, it also introduces risks that should be actively monitored and managed.

One of the most important challenges to be aware of when using AI in marketing is trust. 

According to the 2026 Trust in the Age of Generative AI report, 32% of consumers would trust a brand less if they knew its content was generated using AI, highlighting how sensitive audiences are to how AI is used.

Misinformation and accuracy issues
AI-generated content may contain errors or misleading information, which can damage credibility.

Loss of authenticity
Over-reliance on AI can make content feel generic or less human, reducing emotional connection with audiences.

Lack of transparency
Failing to disclose AI use can negatively impact trust, especially as expectations for transparency increase.

Brand reputation risks
AI-generated content that is perceived as deceptive or inappropriate can quickly lead to negative sentiment.

These risks reinforce the need for thoughtful, responsible AI use in marketing.

To use AI effectively while maintaining trust, there are a few key principles marketers are recommended to follow:

Be transparent about AI use
86% of consumers say it is important for brands to disclose when AI is used in content. Transparency helps build trust and avoids potential backlash.

Maintain human oversight
AI should support—not replace—human creativity and judgment. Human oversight ensures quality and authenticity.

Prioritize accuracy and quality
Always review AI-generated content to ensure it is accurate, relevant, and aligned with your brand voice.

Monitor audience perception
Track how audiences respond to AI-generated content and adjust your approach as needed.

Use AI strategically
Focus on areas where AI adds the most value, such as automation, insights, and scalability, rather than applying it indiscriminately.

The Meltwater platform helps brands monitor perception and conduct sentiment analysis so you can make sure you stay on top of audience expectations at they relate to AI use.

Consumer sentiment toward AI is mixed and, increasingly, cautious.

While AI adoption is growing rapidly, enthusiasm is not universal. Only 39% of consumers say they are excited about a future with more AI, while 51% express skepticism or uncertainty (Trust in the Age of Generative AI Report). 

Key concerns highlighted in the report include:

73% worry that AI could be used to create fake content or scams

69% are concerned about misleading or inaccurate information

AI & Data Analytics

10 Real-World Ways Communications Teams Are Using the Meltwater MCP

Your Best Context is Already in the Room

AI in Marketing: Essential Insights for Driving Success

Trust in the Age of AI: What Consumers Really Think About AI Generated Content

Top 8 Customer Intelligence Platforms & Software 2026

How to Gather Market Intelligence: 5 Steps To Prove ROI

AI in Public Relations: 4 Ways PR Teams Gain Strategic Insight

Social Media Statistics in the Philippines [Updated 2026]

Generative AI in Market Research: Enhancing Insights and Decision-Making

AI for PR Teams: Accelerate Workflows with Mira

How AI Assistants Are Transforming PR: A Practical Guide

How to Gain AI Visibility and Reputation Across Customer Touchpoints

AI & Data Analytics

10 Real-World Ways Communications Teams Are Using the Meltwater MCP

Your Best Context is Already in the Room

AI in Marketing: Essential Insights for Driving Success

Trust in the Age of AI: What Consumers Really Think About AI Generated Content

Top 8 Customer Intelligence Platforms & Software 2026

How to Gather Market Intelligence: 5 Steps To Prove ROI

AI in Public Relations: 4 Ways PR Teams Gain Strategic Insight

Social Media Statistics in the Philippines [Updated 2026]

Generative AI in Market Research: Enhancing Insights and Decision-Making

AI for PR Teams: Accelerate Workflows with Mira

How AI Assistants Are Transforming PR: A Practical Guide

How to Gain AI Visibility and Reputation Across Customer Touchpoints

Interested in learning how Meltwater can help you? Fill out the form to learn more.