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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

Today, PR teams aren’t just tracking media coverage and share of voice. They’re also measuring how their brand shows up in AI-generated answers, search summaries, and large language models (LLMs). This new LLM visibility layer is quickly becoming a critical part of PR performance.

15 Must-Have PR KPIs and How to Track Them

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

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

What Is Data Analytics?
How can I grow my business? 
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

In this guide, we want to give you a peek into the definition of social media management, the daily schedule of a social media manager, social media platforms to promote your business, and the do’s & don’ts of social media management.
Are you ready to begin the journey of becoming a social media superstar?

On our social media management category page, you find blogs about social media management topics. Build and manage your online community.

Social Media Management 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

People are increasingly turning to AI models for practical advice, like how to spend less on everyday necessities like groceries. What we found is that the answers provided were unlikely to begin and end with a single store.

Instead, AI responses combine retailer recommendations with advice about making lists, buying in bulk, choosing store brands, using digital coupons, earning cash back, shopping sales, and avoiding impulse purchases. Grocery chains are competing for visibility not only against one another, but also against the apps, cards, products, and behaviors associated with saving money.

We used GenAI Lens, Meltwater’s AI visibility tracking capability, to examine how eight AI systems answered two grocery-savings prompts over a two-month period. The analysis reveals a closely contested retailer landscape, significant differences between models, and a source ecosystem where established financial publishers sit alongside social platforms and smaller lifestyle sites.

The results reveal a highly competitive AI visibility landscape that consistently emphasizes the tactics consumers can use to reduce grocery costs, rather than rewarding overall brand recognition alone.

No grocery retailer owns the default AI answer

Which grocery savings tips do AI models recommend most?

Why do apps, cards, and store brands outperform some retailers?

Which AI models are most likely to name grocery brands?

What language dominates AI grocery-savings advice?

Which sources shape AI grocery-savings answers?

How Meltwater GenAI Lens helps brands compete in AI-driven grocery-savings discovery

FAQ: AI visibility in grocery-savings recommendations

<table style="width:100%; border-collapse:collapse; font-family:Arial, sans-serif; font-size:14px;">
  <tbody>
    <tr>
      <td style="padding:12px; border:1px solid #ccc; font-weight:bold; width:30%;">Capability</td>
      <td style="padding:12px; border:1px solid #ccc;">GenAI Lens</td>
    </tr>
    <tr>
      <td style="padding:12px; border:1px solid #ccc; font-weight:bold;">Analysis window</td>
      <td style="padding:12px; border:1px solid #ccc;">June 1 – July 31, 2026</td>
    </tr>
    <tr>
      <td style="padding:12px; border:1px solid #ccc; font-weight:bold;">Data sources</td>
      <td style="padding:12px; border:1px solid #ccc;">
        Anthropic Claude, ChatGPT, DeepSeek, Google AI Mode, Google AI Overviews, Meta Llama, Perplexity, and xAI Grok
      </td>
    </tr>
    <tr>
      <td style="padding:12px; border:1px solid #ccc; font-weight:bold;">Prompts</td>
      <td style="padding:12px; border:1px solid #ccc;">“How do I save money while grocery shopping?”, “How to save money on groceries”</td>
    </tr>
  </tbody>
</table>


The analysis examined how eight generative AI systems responded to grocery-savings questions. Because the prompts asked how to save money, rather than asking which retailer is best, the results include shopping tactics, tools, cards, apps, and private-label products alongside grocery store recommendations. 

Download a one-page PDF summarizing the findings of this analysis.

Leading retailers in AI grocery-savings answers

Consumers asking AI how to save money on groceries receive recommendations built around savings strategies, not just grocery chains. Across the two-month analysis period, no retailer emerged as a clear frontrunner recommendation. Instead, AI responses consistently tied retailers with the specific ways they help shoppers reduce costs, creating a competitive landscape where visibility depends on a brand's association with a particular savings tactic rather than overall market recognition.

Among the retailers analyzed, Aldi achieved the highest AI Visibility Score at 27%, followed by Lidl (19%), Costco (15%), Walmart (14%), and Kroger (14%). While Aldi leads the field, the relatively small gap between the top retailers reinforces the fact that grocery savings remains a highly competitive AI category, not dominated by a single brand.

Instead, retailer visibility depends heavily on whether the brand fits naturally within a specific piece of savings advice. Aldi and Lidl are associated with discount pricing. Costco appears in recommendations about buying in bulk. Walmart, Kroger, and regional grocers enter the conversation through their apps, coupons, and loyalty programs.

So, when it comes to this topic, AI is not simply ranking stores. It is answering a behavioral question. Consumers are asking how to reduce grocery costs, and LLMs are prioritizing examples that illustrate specific strategies. Retailers are a factor supporting those strategies rather than the primary focus of the recommendation.

Why this matters: The grocery-savings category remains open and contestable. Instead of pursuing generic recognition as the best grocery store, retailers can build a more defensible AI presence by becoming strongly associated with one recognizable savings behavior, such as discount pricing, bulk purchasing, digital coupons, or rewards.

The strongest retailer visibility is usually connected to a clear and repeatable reason to save.

Aldi and Lidl are the two most-visible retailers because their established discount positioning fits the prompt without requiring much additional explanation. The underlying AI content also groups them with Trader Joe’s as stores consumers can consider for lower-priced basics.

Their visibility shows the advantage of having a brand identity that already functions as a savings tactic. When the recommendation is simply to switch to a discount retailer, Aldi and Lidl are natural examples.

However, Aldi’s eight-point visibility lead over Lidl remains modest enough that the category cannot be considered settled.

Costco’s visibility is tied more directly to a particular shopping behavior.

AI responses regularly connect the retailer to buying non-perishable products and household staples in bulk. Sam’s Club appears in similar advice about reducing per-unit costs through warehouse-club shopping, even though it falls outside the top-10 mentions table.

This gives warehouse retailers a defined place within AI answers: they are not presented as the right option for every purchase, but as a specific solution for products that can be bought in larger quantities.

Apps and loyalty programs create another route to visibility

Walmart, Kroger, Safeway, and regional grocers appear in connection with digital coupons, store apps, and rewards programs.

In the underlying analysis, regional retailers including H-E-B and Randalls are named alongside Walmart as examples of stores offering digital coupons and rewards through their apps. The recommendation is not simply to shop at those retailers. It is to use a particular part of their savings infrastructure.

Why this matters: Brands need a specific answer to the question, “How does shopping with us help someone save?” A clear, well-documented tactic gives AI systems a reason to include the brand in an otherwise broad piece of advice.

In AI grocery-savings advice, the tool used to save can become more prominent than the store where the purchase happens.

Looking from a sentiment point of view rather than mention volume, the featured brands change significantly and different entities rise to the top. This view highlights the brands AI most strongly associates with helping consumers save money—notably it includes some non-store names. 

Regional grocers such as Raley's, Randalls, and Save Mart rise to the top in this view, alongside American Express, Kirkland, and Great Value. With AI Visibility Scores ranging from 55% to 80%, these brands outperform many of the retailers in the previous ranking—not because they're mentioned more often, but because they're repeatedly associated with practical ways to save.

The reasons for their visibility are highly specific:

Regional grocers appear as examples of loyalty-app and digital-coupon programs.

American Express is connected to a supermarket cash-back benefit.

Kirkland and Great Value appear as lower-priced alternatives to national name brands.

Ibotta and Rakuten function as direct savings mechanisms rather than shopping destinations.

In each case, the brand provides a worked example of a tactic. AI can therefore treat a cash-back card, coupon platform, private-label product, or regional chain as part of the answer to the same grocery-savings question.

That distinction reinforces a broader theme: AI isn’t treating “grocery savings” as a competition between retailers. It builds recommendations around the strategies that consumers can use to spend less and save more, rewarding visibility to any brand that helps illustrate those strategies. It’s a wide ecosystem rather than a narrow retail-only category.

Why this matters: "Grocery savings" represents an AI-discovery opportunity for a much wider group than national supermarket chains. Fintech companies, loyalty platforms, private-label brands, and smaller regional retailers can all earn significant visibility when their offering is closely tied to a concrete savings mechanism.

DeepSeek names the widest range of retailers

DeepSeek had the highest combined score across the 10 tracked grocery brands, approximately 26% ahead of the next-highest model.

Its strongest retailer scores included Aldi at 71%, Lidl at 66%, Kroger at 41%, Safeway at 33%, and Walmart at 27%. DeepSeek was particularly assertive about discount retailers, creating a significant portion of Aldi’s and Lidl’s overall advantage.

Grok ranked second across the tracked brand set, but it led individual retailers including Costco, Walmart, and Target, as well as savings platform Ibotta. Its Costco score of 44% was more than twice DeepSeek’s score for the retailer.

Google AI Overviews occupied a more moderate position across most brands but produced the highest score for Sam’s Club. Google AI Mode generally named retailers at low-to-moderate levels.

Claude and ChatGPT rarely recommend specific retailers

Claude and ChatGPT were the clearest outliers.

ChatGPT scored 0% for eight of the 10 tracked retailers. Costco, with a score of 5%, was its only meaningful retailer result in the set. Claude scored 0% for seven retailers, with only Aldi, Costco, and Sam’s Club registering.

These systems still provided grocery-savings advice, but their answers relied much more heavily on general behaviors and shopping principles than on brand recommendations.

Taken together, these differences underscore an important reality of LLM visibility strategy: AI visibility depends on which model a consumer uses. A retailer that appears prominently in one LLM may receive little or no visibility in another, even when the prompt is exactly the same. 

Why this matters: Consumers don't all use the same AI assistant, and different AI assistants don’t generate the same recommendations. Brands need model-level analysis to distinguish a general narrative gap from a platform-specific behavior.

Planning before entering the store is the most common theme in AI grocery-savings responses.

“Items” was the most prominent tracked term, with 1,900 mentions and 72% visibility. “Store” followed with 1,600 mentions and 66% visibility. “List” and “shopping” each generated approximately 1,300 mentions.

Together, these terms show that AI systems frequently begin with basic preparation: decide what to buy, make a shopping list, and approach the store with a plan.

More specific behaviors appear further down the ranking:

“Money on groceries” had the highest mention-rate score of any tracked phrase, at 56%. Although it had lower raw volume than the broad planning terms, it was used consistently when it appeared. “Impulse” was the smallest tracked topic but remained present throughout the two-month analysis window, indicating that avoiding unplanned purchases is a durable part of the AI savings narrative.

The language also varied by model. ChatGPT leaned most heavily into broad terms such as “store,” “items,” and “list.” Meta Llama placed more emphasis on behavior-specific terms including “money,” “stores,” and “bulk.” DeepSeek combined high usage of general shopping language with unusually strong volumes for “shopping” and “impulse.”

Why this matters: Grocery-savings content that clearly addresses shopping behaviors, such as buying in bulk, planning meals, or eliminating impulse purchases, may help brands align better with the language AI models consistently use when answering savings-related questions — thus increasing visibility and brand awareness.

AI grocery-savings advice draws on a mixed source ecosystem spanning major publishers, social platforms, aggregators, and smaller lifestyle sites.

Of the approximately 6,400 citation sources in the dataset:

44.9% were classified as Other, including aggregators and personal-finance or lifestyle blogs.

Interestingly, review sites represented a negligible share.

The mix reflects the nature of the question. Saving money on groceries sits at the intersection of personal finance, shopping, household management, and lived consumer experience. AI systems therefore draw from both professionally reported advice and community-led content.

The most-cited sources for grocery-savings advice

YouTube led with 539 citations, followed by NerdWallet with 324 and Facebook with 311.

The top YouTube video by citations (94) is titled “How to Save Money on Groceries (No Coupons Needed!)”, from an account with 226K subscribers. 

How to Save Money on Groceries (No Coupons Needed!)

The second highest video by citations (70) is a clip from a Good Morning America segment. 

Both videos share recency and while the account with the top video has fewer subscribers than GMA, their engagement is far stronger with around 80 comments and 16K views.

Meltwater's GenAI Lens analysis reveals how AI models recommend grocery savings.

How AI Recommends Saving Money on Groceries: Analysis of 8 Leading AI Models

Why is it that one marketing message earns attention while another misses the mark? Especially when both promote the same product to a similar audience. That question has always been an important one for marketers to understand, and up until relatively recently, it’s been extremely difficult to answer with any sense of certainty. 

Meltwater helps marketers answer that question by connecting content performance with the conversations, audience reactions, and emerging interests surrounding a campaign. Social listening and consumer intelligence reveal the language and themes people respond to; website and CRM data show whether that response leads to clicks, demos, or purchases. Used together, these sources give marketers a more credible way to identify messaging that drives engagement and contributes to conversion.

Why message performance matters more than ever

What makes a message drive engagement and conversion?

How Meltwater helps marketers identify winning messages

A step-by-step framework for finding messages that convert

Practical use cases across marketing teams

Best practices for building a data-driven messaging strategy

Turn audience insights into better business outcomes

Frequently asked questions about messaging performance and conversion

The growing challenge of content saturation

Campaigns today are constantly competing with other branded content, creator posts, news stories, entertainment, and whatever else happens to occupy the feed that day.

With algorithms catered to our specific likes and needs, having access to more content has not made audiences more patient. It’s made them more prone to make quick judgments about whether a message relates to them before scrolling on by.

Traditional marketing language is getting much easier to spot and thus much easier to ignore.

So, the pressure is on marketers to make content choices that truly break through the noise, causing scrollers to stop and listen.

The challenge is that content saturation makes category language blur together. When every company promises a faster, smarter, AI-powered way to work, for example, those claims stop being useful for distinguishing one offer from another. Pushing the same message over and over may increase exposure, but it does little to make the message more memorable.

Marketers therefore have less room for vague introductions or long explanations before reaching the point. Relevance needs to be established quickly, whether it appears in a social post, email subject line, or blog post.

The crowded environment raises the standard — and earning attention requires a much sharper understanding of which ideas audiences care about and which make them want to explore further.

Engagement is a leading indicator of conversion

Engagement is the main initial metric for gaining an early look at whether a message has garnered attention.

Comments reveal questions, feedback, and personal experiences. 

Shares can indicate that people find it useful or identity-affirming, and believe their network will as well.

None of these actions guarantees revenue, but they give marketers important feedback well before a full conversion picture is available.

The question is where engagement and conversion connect. To learn that, it’s important to test different messaging. When promoting a webinar, for example, you might test copy that focuses on broader industry trends against a speaker-focused promotion. If one produces more qualified landing-page visits and demo requests, while the other collects reactions but fewer clicks, you have a clear correlation between the type of content that inspires engagement as well as driving bottom-line results.

Characteristics of high-performing messaging

High-performing messaging connects a specific audience concern with a clear reason to pay attention now. The wording and creative execution will vary by campaign, but effective messages tend to share five characteristics:

Relevance: The message addresses a problem, desire, or decision the audience already recognizes. A campaign designed to improve feature adoption rate, for example, will feel more relevant to users if it speaks to a specific point where users get stuck, rather than leading with broad claims about product innovation, that have little to do with the problem the campaign is trying to solve, nor with the users it’s aimed at.

Timeliness: The message fits the audience’s current circumstances. That could mean responding to a market change, seasonal need, new regulation, product issue, or emerging conversation. Timeliness gives people a more compelling reason to engage — as the messaging is heavily related to what’s already happening in the broader online discourse.

Emotional resonance: The message evokes an emotional response. Relief, joy, curiosity, even provoking frustration are all effective ways to garner engagement when done well. A line like “improve reporting efficiency” is empty and doesn’t mean much; “Toiling away in spreadsheets for hours, just for a 5-minute presentation? We’ve all been there” gets at a more personal experience that everyone can still recognize…and they want a solution.

Clear value proposition: The audience should understand what changes if they act. Concrete positive outcomes need to be relayed in the messaging, without overpromising or aggrandizing.

Audience alignment: The emphasis within the messaging should reflect the intended audience. A campaign designed for existing customers is going to sound different than one trying to attract new customers — if the messaging aligns, the engagement should follow.

It’s important not to rely on any one single metric to demonstrate effectiveness. Different metrics answer different questions about how widely a message traveled, how audiences received it, and whether it prompted further action:

Engagement rate: Measures how actively audiences interact with a particular piece of content. Impressions, reach, comments, and likes all contribute to the overall engagement rate. A higher rate suggests that the message attracted attention, but the number alone will not tell you exactly why it resonated. The following metrics can be used to parse out more details.

Share of voice: Shows how prominent the brand or campaign narrative is within a wider category conversation. Marketers should examine what caused any increase, since enthusiastic customer discussion, criticism, and a competitor controversy can all produce a larger share of conversation.

Sentiment: Provides a directional view of whether responses are positive, neutral, or negative. Looking at the posts behind the classification helps marketers distinguish genuine enthusiasm from complaints, sarcasm, or disagreement with a specific part of the message.

Amplification and shares: Indicate that people considered the message worth passing along to their own audiences. Shares and reposts can extend reach beyond existing followers and often reveal which ideas people find useful, timely, or representative of their own experience.

Audience growth: Shows whether the messaging is attracting new followers or subscribers over time. A sustained increase can indicate that a campaign theme appeals beyond the brand’s established audience, particularly when growth continues across several related pieces of content.

Click-through behavior: Shows whether the message persuaded people to take the next step when tracking is available. Click-through rate becomes more useful when paired with landing-page and conversion data, which reveal whether the initial interest continued after the click.

Monitor conversations with social listening

Meltwater’s social listening capabilities allow marketers to track the conversations forming around their brand, competitors, products, and customer needs. Searches can follow brand mentions, campaign phrases, product terms, hashtags, recurring complaints, use cases, and the informal language audiences use when they are not speaking directly to a company.

People do not always tag a brand or use the exact terminology found on its website, especially if they’re simply commiserating about a broader problem. Someone who’s struggling with a reporting workflow will more likely describe a missed deadline or tedious task, not the category of platform that would solve it. 

For marketers, tracking the keywords associated with the problem conversation alongside brand and product terms gives marketers a more relevant and authentic view of demand and audience language.

You can also watch for emerging discussions. A rise in posts about confusing documentation, delayed shipping, unexpected product behavior, or a new industry requirement means your engagement is high, but due to rising negative sentiment. Catching that shift early means you can adjust priorities and formulate responses if necessary.

Conversation volume says how much people are talking. Sentiment, emotion, topic, demographic, and geographic analysis help explain who is driving it.

For example, a campaign message that emphasizes lower prices may generate positive engagement overall, but the underlying conversation could differ by audience based on location or other demographic criteria. Breaking the response into different segments prevents the average from becoming the whole story.

AI-powered analysis makes this easier by examining large conversation sets for recurring topics, sentiment patterns, and changes over time.

Meltwater gives marketers a way to compare the themes appearing in high-performing content across campaigns, competitors, creators, news, and social conversations. The goal is to identify repeatable ideas, not to copy an isolated post that happened to perform well.

Consider a software campaign promoting a new analytics capability. Posts about technical sophistication may receive modest interest, while content about reducing preparation time is consistently shared and attracts comments from people describing their own reporting bottlenecks. That recurring pattern gives the team a message to continue iterating on across all channels.

Competitive benchmarking adds another useful angle. If every competitor emphasizes speed, companies may struggle to distinguish themselves even when it’s a factor audiences care about.

Understand which narratives are gaining momentum (and where)

Meltwater helps marketers examine trend lines, conversation velocity, topic changes, and the sources or creators contributing to growth. This makes it easier to see whether interest is broadening, remaining confined to a small community, or driven by one or two high-reach accounts. Marketers can then decide whether to join the discussion, monitor it, or move on.

Importantly, momentum can come from outside the campaign. A product delay, competitor announcement, regulatory change, creator trend, or shift in customer language may alter how audiences interpret an existing message. 

Real-time intelligence gives the team a chance to adjust while the campaign is active, when the finding can still affect results.

See it in action! Request a demo to learn more about how the Meltwater platform helps marketing teams advance.

Start with the action the campaign is expected to influence. “Increase engagement” is too broad if the commercial objective is lead generation. A clearer goal might be increasing qualified demo requests from enterprise communications teams or improving trial starts among existing newsletter subscribers.

The conversion goal determines which messages, audiences, and measures belong in the analysis. A message designed to generate awareness should not be judged by immediate purchases. A high-intent demand generation message needs stronger evidence than reach and reactions. Set the primary outcome, then choose supporting indicators that show movement toward it.

The Meltwater Blog

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