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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

From media coverage and social conversations to audience insights and campaign performance, communications teams have access to more data than ever before. But collecting information is only the beginning. The real challenge is knowing what it means, what matters most, and how to respond with confidence.

Data-driven communications turns scattered signals into actionable insights. By using data to understand audiences, identify trends, measure impact, and guide decisions, communications teams can create more relevant strategies and demonstrate their value across the organization.

Learn how data-driven communications helps teams understand audiences, measure impact, identify trends, and turn media, social, and AI signals into action.

Data-Driven Communications: Insights & Strategies | Meltwater

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

Executive teams already review SEO performance, share of voice, brand awareness, social media metrics and market intelligence. These reports help leaders understand how customers find the brand, what people think about it and how its position compares with competitors.

A new question is entering those conversations:

Customers now use ChatGPT, Gemini, Claude, Perplexity and AI-powered search experiences to research categories, compare providers and ask for recommendations. The answers they receive can influence their perception of a company before they visit its website, read a review or speak with a salesperson.

Yet many organizations still lack a structured way to communicate AI search performance to leadership. Marketing and communications teams may monitor hundreds of prompts and collect large volumes of response data, but few of those findings reach executives in a useful form.

Tip: Learn more about executive marketing reporting.

The main challenge is no longer collecting AI visibility data. Teams need to translate that data into executive-ready insights that support business decisions.

Meltwater GenAI Lens Executive Reports address this reporting gap. They provide a shareable narrative covering visibility, sentiment, prominent brand narratives, competitive positioning, source influence and prioritized recommendations. Executives do not need a Meltwater seat to read the report, making it easier to distribute findings across leadership teams.

<table>
  <thead>
    <tr>
      <th>Executive Question</th>
      <th>Report Section</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Are we visible in AI?</td>
      <td>Visibility Summary</td>
    </tr>
    <tr>
      <td>Are competitors outperforming us?</td>
      <td>Competitive Benchmarking</td>
    </tr>
    <tr>
      <td>What changed this month?</td>
      <td>Trend Analysis</td>
    </tr>
    <tr>
      <td>Is there a reputation risk?</td>
      <td>Narrative Monitoring</td>
    </tr>
    <tr>
      <td>Why is AI saying this?</td>
      <td>Source Attribution</td>
    </tr>
    <tr>
      <td>What should we do next?</td>
      <td>Strategic Recommendations</td>
    </tr>
  </tbody>
</table>

Why AI visibility has become a boardroom topic

The reporting gap: Why most AI visibility data never reaches leadership

Inside a modern AI visibility executive report

What the first page of a GenAI Lens Executive Report looks like

5 strategic decisions leaders can make using AI visibility reports

How different leadership teams use GenAI Lens Executive Reports

A monthly AI visibility reporting workflow

Why AI visibility reporting will become a standard executive dashboard

Frequently Asked Questions about AI visibility executive reports

Generative AI platforms have created another route for brand discovery. A potential customer can ask an AI system to explain a market, compare competing products, identify leading providers or recommend an option for a specific use case.

These interactions can begin with broad questions:

What are the leading providers in this category?

Which solution is best for a global company?

What are the strengths and weaknesses of each brand?

Which companies offer the most reliable service?

The AI response may name several brands, describe their reputation and recommend a preferred option. It may also cite sources that the user can explore for more information.

This creates a discovery environment that traditional web analytics cannot fully measure. A company may know how it performs in Google search, but that does not show whether ChatGPT recommends it, whether Gemini associates it with the right product attributes or whether Perplexity cites its content.

Tip: Take a look at AI visibility metrics for CMOs.

AI is influencing decisions before customers reach your website 

AI-generated answers can shape buyer expectations early in the research process. A response may introduce the customer to a competitor, reinforce a reputation point (negative or positive) or position one provider as the category leader.

The interaction may also end without a website visit. When an AI system provides a complete comparison or recommendation, the customer can form an opinion without clicking through to the company’s owned channels.

That makes AI visibility a broader business issue, so marketing leaders need to understand whether the brand appears in relevant answers, whether those answers are accurate, and which sources influence them. Executive leadership needs a clear view of the commercial and reputational implications.

Senior leaders rarely want to inspect individual prompts or compare dozens of model responses. They want answers to a smaller set of strategic questions:

How visible are we compared with competitors?

Which narratives are influencing customer perception?

Are AI systems repeating inaccurate or outdated information?

An effective executive AI visibility report should answer these questions quickly, then provide enough evidence to support action. That is the objective behind the reporting framework outlined in Meltwater’s GenAI Lens Executive Reports.

The reporting gap: Why most AI visibility data never reaches leadership 

AI monitoring can produce a large amount of useful information. The problem appears when teams try to turn that information into an executive update.

A detailed AI visibility program may track hundreds of prompts across several platforms. Each prompt can produce multiple answers, citations, brand mentions, competitor references and narrative signals.

This detail is valuable for analysts and specialists, but difficult for an executive team to review.

Presenting all the underlying data can hide the most important insight. Leaders may see dozens of examples without understanding whether the company is gaining ground, facing a new risk or missing a commercial opportunity.

Raw metrics provide little value without interpretation. A visibility score of 55 or a mention volume of 5,000 means very little on its own.

How does the result compare with competitors?

Which products, markets or topics drive the performance?

Does the result support the company’s positioning?

This example Coachella GenAI Lens reports demonstrate how this context can change the interpretation of a metric. In the report, high mention volume initially suggests strong performance. The wider analysis reveals a visibility score that requires attention and a mixed sentiment score influenced by pricing and accessibility concerns. The combination gives leadership a more useful picture than any individual number.

The Executive Summary pairs visibility, sentiment, volume and peer ranking with three concise business insights.

Many reports stop after explaining what happened. Executives also need to know what the organization should do.

A leadership-ready report should distinguish between:

Content gaps that affect AI recommendations

Reputation narratives that require stronger evidence

Sources that could increase the brand’s influence

Recommendations should be specific enough to assign to a team. “Improve AI visibility” is too broad. A recommendation to publish comparison content, strengthen coverage of a particular product attribute or address an inaccurate narrative gives the organization a clear starting point.

GenAI Lens Executive Reports place prioritized recommendations at the center of the analysis. Each report explains the reasoning behind the proposed action, helping teams connect the recommendation to the underlying visibility or reputation finding.

Inside a modern AI visibility executive report 

An effective report should answer five executive questions. Together, they create a framework that moves from performance to explanation and action.

The report should begin with the brand’s overall position. That includes visibility, mention volume, recommendation performance, peer ranking and competitive standing.

A single score can provide a useful headline, but executives also need a benchmark. A visibility score of 70 may look strong until the report shows that three competitors score above 80. A lower score may represent progress if the brand has gained significantly since the previous reporting period.

The visibility overview in the sample reports places brands on a chart based on visibility score and mention volume. This makes it possible to distinguish between brands that generate frequent mentions and brands that receive prominent placement in AI answers.

Coachella example report, compares visibility score with mention volume across the competitive group.

Executives need to understand the direction of performance, rather than reviewing an isolated snapshot.

Turn AI search data into executive-ready decisions.

The Executive Report for AI Search: What Leaders Actually Want to See

Most communications and marketing teams already work inside an AI assistant every day. The open question is no longer whether your team can use AI. It's whether the AI is working from data that matters.

For a lot of organizations, the answer is "not yet." Generic assistants like ChatGPT or Microsoft Copilot answer from whatever they can crawl on the open web. They're fluent and fast, but they're missing the data and signals that actually drive decisions: your brand, your market, the competitor who moved this morning, and the judgment your team has spent years building around which sources matter and how to cut out the noise.

The Meltwater MCP closes that gap. It brings trusted, real-time Meltwater intelligence into the AI tools your team already uses, so the answer you get is grounded in coverage you can stand behind. This is what we built, and below is what we've learned watching customers put it to work over the last year.

Why organizations want Meltwater data inside AI workflows

How customers are using the Meltwater MCP today

What we've learned from early implementations

Frequently asked questions about the Meltwater MCP

MCP stands for Model Context Protocol, an open industry standard for connecting AI tools to data and to other tools. Think of it as shared plumbing the industry is adopting, not a product of ours. A standard like this matters because it gives AI assistants one consistent way to reach trusted business data, instead of a one-off integration for every source which breaks as soon as anything changes.

The Meltwater MCP is how your trusted Meltwater intelligence connects directly into the AI assistants your team already uses, like Claude and ChatGPT. You ask a question in plain language inside the assistant, and Meltwater answers with real-time, cited intelligence, scoped to the products in your plan.

Access grows with the Meltwater products you subscribe to. Your existing Meltwater searches and assets aren't left behind. They come with you, and anyone with the right permissions can keep building on them right inside Claude or ChatGPT. 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.

There's a workaround teams use today, and for the power users who know exactly what they need, it works. Someone logs in to Meltwater, runs the workflow, exports the data, and rebuilds the report by hand before AI ever sees it. 

The trouble is what that manual step costs. It's brittle: each export is a snapshot, static to the moment it's pulled, and in communications the story almost never sits still. A new outlet picks it up, the narrative shifts overnight, a competitor responds, and the report is already stale, so the work starts again. 

It's also risky and slow. Rebuilding intelligence by hand invites errors into something leadership is about to read, and it spends senior comms time on assembly and proofreading instead of the judgment, narrative, and timing only your team can bring. 

Your team already holds the most valuable part of the context: 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 tools where that expertise already lives. That's the value of the MCP: your people stay the experts, and the data meets them where they work. 

Conversational media monitoring. Brand and topic tracking asked the way you'd ask a colleague, grounded in current news and social coverage.

Sentiment and narrative reads on demand. A quick overview of how a story is landing, with the coverage cited behind it.

First-pass executive briefings. A leadership-ready overview built from what's being said about you right now, ready for a human to refine.

Early-issue awareness. Spotting an emerging issue as it develops, so the team has more time to decide how to respond.

Reporting that stays current. Coverage and share-of-voice updates assembled with far less manual work.

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

Reading tips: Meltwater MCP prompts you can use, 10 real-world ways, comms teams are using the Meltwater MCP

This is the part worth reading twice, because it's where a year of real use shows. The best use cases start with a business problem, not the technology. 
The teams that get value name a specific job first: cut reporting time, improve executive visibility, move faster on competitive intelligence. "AI for AI's sake" creates more noise. Better inputs lead to better answers. The MCP doesn't replace good search hygiene and governance. It rewards them. Clean, well-maintained searches produce sharper answers.

The biggest wins come from workflow integration. Value shows up when intelligence appears where teams already work, in the assistant they have open, rather than in a new tool they have to remember to visit. 

Human expertise stays essential. One early customer, a global consumer goods company, put it plainly: "We're not software experts. We sell ice cream." They were right, and they shouldn't have to be experts to get a trusted answer. The MCP accelerates the analysis. It doesn't replace the strategic call. 

Governance matters more as usage scales. It's one governed connection across the Meltwater portfolio, with authentication and permissions built in, so teams gain reach while the organization keeps control. 

What makes these answers dependable is the content underneath them. Meltwater ingests more than 1.5 billion documents a day across news, social, and web, in more than 240 languages, with the structure and historical depth behind it. The MCP grounds every answer in that licensed coverage and scopes it to what each customer subscribes to. Narrative answers cite their sources, so your team can verify what they share and stand behind it at the leadership level. Learn more about Meltwater MCP. 

The part we're most excited about is the loop this creates. Customers understand their business context better than anyone, and the more they bring it, the more we learn about the answers that matter. We've already seen the spread: at one early pilot customer, what began with a single analyst team grew across the company, with employees running their own internal hackathons on top of it. That feedback makes the Meltwater MCP better for every team that uses it. 

The Meltwater MCP connects your trusted Meltwater intelligence directly into AI assistants like Claude and ChatGPT, so your team can ask questions in plain language and get real-time, cited answers, scoped to the products you subscribe to. 

MCP stands for Model Context Protocol, an open standard that lets AI tools connect to external data and tools through one consistent interface.

How is MCP different from a traditional integration?

A traditional integration connects one system to one other system. MCP gives AI assistants a standard way to reach trusted data, so the same connection works across the tools your team already uses.

What data can AI assistants access through the Meltwater MCP?

Depending on a customer's subscription and permissions, assistants can access Meltwater news and social coverage and the related analytics in their plan.

Yes. Access is signed in through your existing Meltwater subscription, and answers are scoped to the data each customer is authorized to use.

Most teams start with one high-value workflow, connect through the assistant they already use, and expand from there as they see results.

The benefits of bringing Meltwater data into AI workflows.

What Is the Meltwater MCP? Lessons From Real AI Workflows

Your customers are talking about your brand right now, across app reviews, X threads, and podcast clips you've probably never listened to. The challenge is seeing whether frustration around a product issue is growing, what caused a change in brand sentiment, and which conversations need attention now.

Sentiment analysis tools use natural language processing and machine learning to classify mentions as positive, negative, or neutral and identify the topics behind those reactions. Older rule-based sentiment analysis relies on fixed lexicons, while newer artificial intelligence systems use neural networks and generative AI to interpret more context.

Demand for this type of analysis is growing quickly. The Business Research Company projects the sentiment analytics systems market to climb from $4.27 billion in 2025 to $5.61 billion in 2026, driven largely by wider adoption of AI-based analysis over older keyword-matching methods. Modern AI models can interpret more context than simple keyword-based systems, although sarcasm and irony remain difficult even for advanced tools.

Below are 12 of the best sentiment analysis tools for PR, marketing, and insights teams in 2026, and how to choose the right one for your team.

What features should you look for in sentiment analysis tools?

How to choose the right sentiment analysis tool

Make sentiment analysis work for your brand

<table class="table-primary alternate-color">
  <thead>
    <tr>
      <th>Tool</th>
      <th>Best For</th>
      <th>Key Strength</th>
      <th>Pricing Tier</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Meltwater</td>
      <td>Teams that need one view of sentiment across social, news, podcasts, and video</td>
      <td>Unified brand monitoring with real-time sentiment shifts</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Brandwatch</td>
      <td>PR and marketing teams comparing sentiment against competitors</td>
      <td>Deep social listening with sarcasm and emotion detection</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Sprinklr</td>
      <td>Enterprises unifying social, CRM, and survey feedback</td>
      <td>Voice-of-customer analytics at scale</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Hootsuite Insights</td>
      <td>Social teams who already publish through Hootsuite</td>
      <td>Listening and publishing in one platform</td>
      <td>$99–$249/mo, social listening is Enterprise-only, custom quote</td>
    </tr>
    <tr>
      <td>Talkwalker</td>
      <td>PR and CX teams needing real-time alerts</td>
      <td>Visual listening across images, video, and audio</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Medallia</td>
      <td>CX teams working across surveys and omnichannel text</td>
      <td>Enterprise text analytics built for customer experience</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Quid</td>
      <td>Insights teams tracking sentiment alongside market trends</td>
      <td>Granular sentiment analysis across a global data feed</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Cision Communication Cloud</td>
      <td>PR teams tying sentiment to media coverage</td>
      <td>Multi-channel sentiment with manual override</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Qualtrics</td>
      <td>CX teams standardizing on one experience management platform</td>
      <td>Theme-based sentiment categorization via Text iQ</td>
      <td>Custom quote</td>
    </tr>
    <tr>
      <td>Mention</td>
      <td>Teams that want side-by-side competitor sentiment reports</td>
      <td>Automatic tone classification with competitive benchmarking</td>
      <td>From $599/mo, on an annual contract</td>
    </tr>
    <tr>
      <td>Awario</td>
      <td>Smaller teams that need straightforward sentiment tracking</td>
      <td>Clear dashboards for sentiment trends over time</td>
      <td>$29–$249/month billed annually; $49–$399/month month-to-month</td>
    </tr>
    <tr>
      <td>HubSpot Service Hub</td>
      <td>Teams already running on HubSpot CRM</td>
      <td>Sentiment tracking built into your existing CRM workflows</td>
      <td>Starts at $90 per seat/month</td>
    </tr>
  </tbody>
</table>

Meltwater brings sentiment analysis from social media, news, forums, print, broadcast, and podcasts into a single platform. PR and marketing teams can track whether sentiment is changing, identify the topics driving that shift, and examine the mentions behind the data rather than relying on a single positive or negative score.

Monitors mentions across major social platforms, print, broadcast, blogs, and podcasts

AI-powered sentiment analysis that surfaces the feeling behind a mention, not just the label

Real-time alerts for sentiment spikes and shifts

AI-driven summaries from Mira, Meltwater's AI assistant, plus GenAI Lens for visibility into how ChatGPT and other LLMs represent your brand

Pricing: Custom quote. If you want a more detailed pricing breakdown, see Meltwater's pricing guide. 

Best for: PR, communications, and marketing teams that need to understand sentiment across earned media and social channels rather than monitor social posts alone.

See how this works for your brand: request a demo of Meltwater's sentiment analysis in action.

Brandwatch Consumer Research analyzes sentiment across more than 100 million online sources, including social networks, forums, blogs, news sites, and review platforms. Teams can compare sentiment around their brand, products, campaigns, and competitors, then examine the conversations behind each change. 

Tracks your brand name and logo across 100 million-plus sources

Sentiment benchmarking against competitors

Emotion and sarcasm detection beyond basic positive/negative tagging

The Meltwater Blog

The Executive Report for AI Search: What Leaders Actually Want to See

What Is the Meltwater MCP? Lessons From Real AI Workflows

Best Sentiment Analysis Tools for PR & Marketing 2026

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

Where to Invest Your Brand Marketing Budget in 2026

World Cup 2026 Marketing and Sponsorship Trends

Meltwater Pricing: Plans, Ranges & What to Expect

What Meltwater Summit Taught Us About Understanding Consumers in Real Time

What we learned about PR measurement at Meltwater Summit

Does Press Release Distribution Affect AI Search? Visibility Beyond Traditional Rankings

What We Learned About GEO and Brand Visibility in LLMs at Meltwater Summit 2026

What Marketers Can Learn From Pokémon’s 30-Year Success