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As generative AI reshapes how people research, learn, and make decisions, a new discipline is emerging: Generative Engine Optimization (GEO). Just as SEO helped brands get discovered on Google, GEO ensures they appear accurately and positively within AI-powered platforms like ChatGPT, Gemini, and Copilot. With millions of consumers now turning to generative engines instead of search engines, GEO is fast becoming essential for marketing and PR professionals looking to influence how their brand shows up in this new discovery layer, where conversations, not clicks, determine visibility.

What is generative engine optimization (GEO)?

Why should marketing & insights teams care about GEO?

How does GEO work? Key mechanisms & signals

Which media sources to prioritize for GEO

What's the difference between GEO and SEO?

8 essentials of generative engine optimization

Increase your GEO readiness with Meltwater

Generative Engine Optimization (GEO) is the practice of ensuring that AI platforms such as ChatGPT, Google Gemini, Llama, etc., provide accurate, positive, and up-to-date information about your brand when users ask questions. These platforms are referred to as Generative Engines, Answer Engines, or Large Language Models (LLMs). They are increasingly used by consumers to research purchases and make decisions.

GEO is a way of making sure that AI platforms give people the right information about a company’s brand and products. 

For example, if a person asks ChatGPT: “What is a good family car for camping trips?” then the auto manufacturers would want ChatGPT to suggest their SUV models, and list the benefits. To make sure that happens, the auto brands need to use GEO.

GEO ensures your brand shows up correctly within these AI-generated responses.

The practice of GEO involves several steps, but it is mostly focused on creating, structuring, and publishing content in the best way to influence the responses given by AI Generative Engines. 

In this article we’ll go into the detail of how GEO works, why it’s important, and how you can use it to make sure your brand is featured positively in AI platforms.

Sometimes, generative engine optimization (GEO) is referred to as answer engine optimization (AEO). Learn more about the differences and similarities of GEO and AEO, and take a look at the best AEO tools.

For a long time marketers have been able to rely on the fact that consumers almost exclusively use Google to research buying decisions. So they have been able to use Search Engine Optimization (SEO) to ensure their brand’s website appears in the organic search results, or use paid search advertising to buy ads on relevant search results. 

This is a highly effective way of targeting the right audience at the right time. But now things are changing.

LLMs aren't just another channel. They sit on top of this ecosystem. They synthesize everything into a single conversation.

Allie Konchar, Partner & Chief Client Officer, Omniscient

Changing user behavior: AI + conversational search

Increasingly, consumers are using tools like ChatGPT to research their buying decisions. Data from Meltwater’s 2026 Global Digital Report shows that ChatGPT.com is now the fifth most visited website on the web.

While search engines remain popular, many search queries now produce an AI generated summary that often provide enough information to divert users away from clicking through to websites, because their question has already been answered. McKinsey reports that around half of all Google search queries already produce AI generated summaries, and that number is increasing all the time. 

With conventional web search, consumers are performing research manually, trying to find trustworthy sources and sifting through information to reach the answers they seek. But with Generative Engines, the AI is performing the research automatically, using its existing base knowledge alongside supplemental information pulled from more recent online sources. A search engine shows users where to find answers, while a Generative Engine just gives them the answer. 

For marketers, the key takeaway is that few top-of-funnel consumers are visiting your website, because during the awareness phase their information needs are being met by Generative Engines. This makes it more difficult to move them down into the consideration phase. 

TIP: For more data around growing AI usage and online consumer behavior, download our 2026 Global Digital Report, featuring nearly 700 pages statistics to help inform your GEO strategies next year.

You already know that everybody is talking about AI, and all of your competitors are having the same discussions as you about what it means for their marketing strategy. Those who move decisively to implement GEO, ensuring their brands are represented clearly and positively in Generative Engines, will capture the largest share of those consumers who start their buying journey with an AI query. 

Those who ignore GEO will lose ground, as growing numbers of consumers turn from search engines to Generative Engines, the size of the audiences that can be reached through conventional search marketing will decrease. 

How do generative engines (LLMs) surface content?

It’s important to understand that while Generative Engines are based on similar technology, they all work a little differently. Broadly speaking they all use two different sources of knowledge to provide an answer to a query: 

<table class="table-primary alternate-color">
  <caption>How Generative Engines (LLMs) Surface Content</caption>
  <thead>
    <tr>
      <th>Generative Engine</th>
      <th>Primary Retrieval Method</th>
      <th>Sources Most Often Cited</th>
      <th>Sources Less Likely to Be Cited</th>
      <th>Notes on Behavior</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>ChatGPT</td>
      <td>Bing search + internal training data</td>
      <td>Reuters, AP News, Wikipedia, Encyclopedic sources</td>
      <td>Social media platforms (X/Twitter, Instagram)</td>
      <td>Prefers authoritative, neutral, structured sources with high trust signals.</td>
    </tr>
    <tr>
      <td>Google Gemini</td>
      <td>Google Search + YouTube + Knowledge Graph</td>
      <td>Reddit, YouTube, Google-indexed blogs</td>
      <td>X/Twitter</td>
      <td>Strongly favors user-generated content, community threads, and Google-owned properties.</td>
    </tr>
    <tr>
      <td>Perplexity</td>
      <td>Real-time web crawling + citation-first retrieval</td>
      <td>News publishers, reputable blogs, research papers</td>
      <td>Low-trust UGC</td>
      <td>Most transparent engine — always cites sources and updates in real time.</td>
    </tr>
    <tr>
      <td>Claude</td>
      <td>Internal training data + selected retrieval</td>
      <td>Academic sources, reputable news, long-form articles</td>
      <td>Short-form social media</td>
      <td>Prefers long-form text and well-structured explanatory content.</td>
    </tr>
  </tbody>
</table>

Training data: All LLMs begin by being trained on a huge volume of existing content and data — we’re talking about dozens of terabytes (a terabyte is 1,000Gb). This training data comes from a wide variety of sources (including your website), and gives the LLM its base knowledge about the world. The LLM does not have any knowledge of anything that happened after its initial training. 

Live Web Search: To overcome the knowledge cut-off problem, the training data is supplemented with fresh information gathered from the internet. If the Generative Engine thinks that a user’s query would benefit from more up to date information than it already has, it fetches new content from trusted online sources and works that into its response. Google uses its own search engine to find fresh information, while ChatGPT uses various sources, including Microsoft Bing.

It’s also important to note that AI does not quote any of this content verbatim in its responses. Much like a human, it uses the information it has learned to inform its own answer, and that can include information from various sources, including the press, competitors, consumer reviews. So don’t expect it to always be on-message!

Another key point is that unlike a search engine, an LLM does not have an index of content which it searches to find answers. It would be impossible to search ChatGPT for all mentions of your brand — that’s simply not how it works. 

An LLM is more similar to a human brain, in that it has a lot of knowledge stored in patterns and relationships between words and concepts. It is extremely difficult, verging on impossible, to examine and understand the detail of an LLM’s learned knowledge because of the sheer scale and complexity; this is a challenge referred to as Black Box AI. 

But we do understand how Generative Engines work at a high level, and we can analyze the kind of responses they produce for relevant queries, which gives us insight into how we should optimize our content for increased visibility.

Tip: Learn more about the citation layer.

What content features improve GEO-visibility?

Bear in mind that when you’re optimizing content for Generative Engines, the goal is to write copy that is easier for AI to digest and incorporate into its responses.

Clarity: Avoid overly elaborate language. Do not use corporate-jargon. Keep it simple, professional, and to the point. Leave no room for ambiguity. 

Authority: Wherever possible back up your statements with data from reputable sources, quotes from experts or industry leaders, and reference-able proof points. 

Structure: Organize your pages well with clear titles, headings, and subheadings. Use heading tags (H1, H2, etc) correctly to specify the hierarchy of your content. 

Recency: AI platforms look for more recent information from trusted sources to supplement their base knowledge, so in both owned and earned media, aim to publish fresh content recently.

In many respects GEO shares principles with good SEO practice. If you write consistently high quality content which addresses the needs of your target audience, and structure it correctly on well designed, standards compliant web pages, you will succeed.

First you need to understand your starting point. Meltwater’s GenAI Lens is a tool that gives brands insight into how they are discussed by all major Generative Engines, including ChatGPT, Claude, Gemini, Perplexity, Grok, and Deepseek. 

With GenAI Lens you’ll be able to understand how your brand is already featured in LLMs, what source websites are used in those responses, and whether outdated or inaccurate information is being used. 

We know that LLMs pull content from the web, which they use to inform their responses. So whatever is said about your brand online will significantly affect how Generative Engines talk about your company. 

Start with your own website, this is the first place LLMs will look for information about your organization. But also focus on trusted, high authority third party sites like the mainstream news and specialist media within your industry, because these are the kinds of sources that LLMs will use. GenAI Lens can show you which websites the leading LLMS use to source information about your brand. 

Once you have a comprehensive audit of how your brand is currently portrayed online, you can perform a gap analysis against your desired messaging, and build a plan for how to reach that objective.

Tip: AI brand monitoring, AI media monitoring, and LLM monitoring will help you understand your online footprint. Learn how to track your LLM visibility and how to track LLM brand mentions.

An important difference between GEO and SEO is understanding how people search differently when using Generative Engines. Users interact conversationally with AI, and are likely to ask more complex questions in natural language, compared to simple keywords or short queries in a search engine. So it’s useful to get an idea of what kind of questions people will ask about your brand or industry, to help plan your GEO content.

Tip: Learn more about AI visibility for retail brands.

Unlike search engines, at present the leading Generative Engines do not share data on popular user queries, so it’s not easy to find out exactly what people are asking about your business. But you can look at popular keyword searches associated with your brand, and brainstorm the most likely questions people will ask Generative Engines. 

You can also use a social listening platform, like Meltwater Explore+ to analyze social media conversations around your brand and industry, to gain insight into common questions. Once you have mapped out all of the most likely questions people might ask, you can start creating content that answers those questions.

Tip: Learn how to connect social listening with generative engine optimization. 

Conventional SEO was built around search queries but GEO requires thinking in concepts, context, and authority — you need to focus on the intent of the query, rather than simply trying to match keywords. 

LLMs prioritize sources that provide comprehensive, well-structured, and contextually rich content. Focus your content strategy on:

Educational depth: Long-form resources that answer questions end-to-end. Publish explainers, FAQs, and data-backed insights that answer “how” and “why.”

Credibility signals: Citations, quotes, and data from reputable sources (analyst studies, thought leadership, or trusted media).

Rich media: Generative Engines pull information from videos and images as well as text content, so make use of varied content formats. 

Consistency across channels: LLMs learn from media, social, and owned content together; ensure your brand narratives are aligned across them.

The key thing is to ensure that your content is genuinely helpful in answering those questions you mapped out. If your content is too focused on sales messages, it’s less likely to be used by the LLMs.

TIP: Discover innovative AI-generated content examples to enhance your digital strategy.

You can optimize the content published on your website and owned channels, but LLMs also source information from trusted third party websites. That means digital PR has a key role to play in ensuring your brand is featured in high authority earned media, including news features, expert comment from your spokespeople, product reviews, and any other kind of brand story traditionally generated through a media relations campaign.

Tip: Learn more about the importance of earned media for GEO and about PR Pitch GEO optimization.

The tricky part is that unlike advertising, which can tell exciting and attention grabbing stories, PR professionals are limited to working only with the facts. But while you cannot always control the outcome of media outreach activity, ensuring that PR and GEO are aligned will help increase the volume of third party sources that feature the right messaging.

Tip: Learn how GEO is reshaping PR strategies.

Meltwater’s GenAI Lens gives you the ability to track your GEO performance over time, so you can understand whether your strategy is working well and spot areas where you need to improve. The tool provides visualizations that show brand sentiment, emotion, key phrases, people, products and things mentioned, alongside citations.

Armed with this information you can identify gaps in your GEO strategy where you might need to create more or better content. You can also discover which third party sources have the greatest impact on your GEO performance, and use that information to optimize PR outreach to focus on the most important media. 

Like SEO, this is a process of constant iteration and improvement. GEO should not be seen as a one-off project that will generate positive results in perpetuity, but rather an ongoing activity that needs to be integrated with the broader marketing mix.

Tip: Learn How to Measure PR Performance Across LLMs and Generative Search, and understand how to report on LLM visibility.

When an LLM processes a user query, it can often detect that the response might require more recent information than it has access to in its original training data. In that situation it will look online for more up to date content that will help it to form a more accurate answer, but where exactly do Generative Engines look for this information?

At Meltwater we used GenAI Lens to research which content sources the leading AI platforms were most likely to reference in their responses, and there were distinct differences between them all:

Open AI ChatGPT: Heavily favors text-based news and newswires (Reuters, AP, PR Newswire) and reference sites (Wikipedia). Much less likely to cite social media and UGC. 

Google Gemini: Leans towards high quality UGC from sites like Reddit and YouTube, as well as other online sources within the Google ecosystem. Does not index X/Twitter content. 

Google Search AI Overviews: Highly focused on UGC from Reddit and YouTube, as well as Facebook, Yahoo and LinkedIn. 

xAI Grok: Strongly skewed towards conversational UGC from X and Reddit. Less likely to cite traditional reference sources like Wikipedia, YouTube or academic sites. 

Unlike SEO, where most practitioners were happy to optimize only for Google, in GEO we have to consider the nuances of several different platforms; at the very least ChatGPT and Google AI Overviews. In short, it’s good practice to ensure you have up to date content propagated across a wide range of platforms where LLMs might look for supplemental information.  

In terms of which online sources are most likely to be referenced overall, we looked at several categories and charted the most frequently cited websites:

<ul class="medium">
	<li><b>Social Media & UGC</b></li>
    <ul>
		<li>reddit.com: 43.1%</li>
		<li>youtube.com: 17.9%</li>
        <li>facebook.com: 11.1%</li>
		<li>linkedin.com: 9.2%</li>
        <li>quora.com: 5.6%</li>
	</ul>
	<li><b>Consumer Reviews</b></li>
	<ul>
		<li>glassdoor.com: 21.6%</li>
		<li>indeed.com: 20.6%</li>
        <li>trustpilot.com: 15.7%</li>
		<li>bbb.org: 9.9%</li>
        <li>yelp.com: 8.0%</li>
	</ul>
	<li><b>Travel</b></li>
    <ul>
		<li>tripadvisor.com: 83.2%</li>
		<li>expedia.com: 10.0%</li>
        <li>booking.com: 6.8%</li>
	</ul>
	<li><b>News & Media</b></li>	
    <ul>
		<li>yahoo.com: 26.5%</li>
		<li>prnewswire.com: 10.8%</li>
        <li>reuters.com: 9.0%</li>
		<li>forbes.com: 6.7%</li>
        <li>usnews.com: 6.7%</li>
	</ul>
    <li><b>Academic & Science</b></li>	
    <ul>
		<li>nih.gov: 53.6%</li>
		<li>researchgate.net: 14.5%</li>
        <li>sciencedirect.com: 10.0%</li>
		<li>jhu.edu: 7.5%</li>
        <li>cdc.gov: 5.8%</li>
	</ul>
    <li><b>Market Research & Consulting</b></li>	
    <ul>
		<li>statista.com: 18.8%</li>
		<li>mordorintelligence.com: 16.3%</li>
        <li>gartner.com: 14.9%</li>
		<li>mckinsey.com: 13.5%</li>
        <li>cbinsights.com: 13.0%</li>
	</ul>
    <li><b>Business & Financial</b></li>	
    <ul>
		<li>investing.com: 14.1%</li>
		<li>morningstar.com: 13.2%</li>
        <li>nasdaq.com: 11.4%</li>
		<li>nerdwallet.com: 10.4%</li>
        <li>seekingalpha.com: 8.8%</li>
	</ul>
    <li><b>Government & Public Sector</b></li>	
    <ul>
		<li>weforum.org: 20.6%</li>
		<li>europa.eu: 17.8%</li>
        <li>canada.ca: 12.7%</li>
		<li>imf.org: 11.5%</li>
        <li>sec.gov: 10.1%</li>
	</ul>
</ul>

Many teams focus on keywords, backlinks, and meta tags, but LLMs prioritize context, authority, and relevance. GEO requires content that answers full questions with clear, verifiable information, not keyword stuffing or link chasing.

2. Ignoring source credibility and transparency

GEO helps your brand to appear in AI platforms — but how does it work? This guide has everything you need to know to get started with GEO.

What is Generative Engine Optimization (GEO)? & How to Do It

Social media is one of the most powerful tools in any marketers arsenal. It helps you connect with your audience in a more casual way than through an email or ad, and offers innumerable options for content types — from videos to quizzes, tutorials to behind-the-scenes. But to know how this content is actually performing and serving your goals, you need social media analytics. 

Getting the most out of your social media efforts is easier when you choose the right social media analytics tools. 

Benefits of using a social media analytics tool

What to look for in a social media analytics tool

Social analytics tools are softwares, plugins, or native analytics that allow you to see engagement metrics for your channels, as well as your competitors channels. 

Many social platforms offer a built-in, easy-to-use analytics dashboard, so you could start there, but note that they do have their limitations if you're looking for omnichannel marketing insights.

For example, Twitter / X Analytics can tell you at a glance your followers growth, impressions, profile visits, and mentions. Facebook Insights delivers post-related data, such as audience reach, clicks, and reactions. LinkedIn offers analytics that measure engagement and supply information about your followers’ demographics.

Outside of native analytics channels, you can use third-party social media analytics tools, which provide a holistic view of the effectiveness of your social media strategy. These platforms save you time from switching between the different social media networks and offer customizable dashboards so that you can easily compare your performance across networks.

Tip: Learn how to measure social media campaign success.

There are many benefits to social media analytics tools. Namely, they provide context, data, and insights that help you and your social media team understand which posts are resonating the most with you audience, and on which platforms. 

Social media analytics tools often offer more in-depth insights than native tools, and allow you to easily compare performance over different date ranges.

Here are some of the top platforms for social media analytics software:

Meltwater transforms social, traditional media, and AI signals into actionable intelligence that helps organizations understand audiences, measure performance, identify emerging trends, and make faster, more confident decisions. By combining social listening, consumer intelligence, AI-powered analysis, and executive-ready reporting in one unified platform, Meltwater helps brands see the full picture behind social performance.

Unified intelligence platform: Analyze social conversations, news coverage, reviews, forums, and AI-generated narratives in one connected view

Social listening and analytics: Monitor audience sentiment, engagement trends, brand perception, and emerging conversations across global social channels

Advanced AI for speed to insight: Automatically identify themes, anomalies, sentiment shifts, and trend opportunities using AI-powered analysis

Executive-ready reporting: Transform social performance data into stakeholder-ready dashboards, reports, and actionable insights

Unmatched global data coverage: Access consumer conversations across millions of sources, 240+ languages, and major global and regional social platforms

Best for: Mid-sized to enterprise brands that need social media analytics, consumer intelligence, social listening, and executive reporting in a single platform

Meltwater also allows you to find top-performing posts by topic tags, to improve your understanding of the content that resonates with your audience. Your analytics can be easily summarized in reports and shareable dashboards to send to key stakeholders.

Sprout Social is a popular social media analytics software option for marketers, particularly at the enterprise level. They help brands see a cross-channel view, providing qualitative analysis and insights into your top-performing content. 

Cross-platform analytics: Measure engagement, audience growth, and content performance across social channels

Social listening: Monitor conversations, trends, and audience sentiment related to your brand

Competitive benchmarking: Compare social performance against competitors and industry benchmarks

Profile performance reporting: Track account-level growth and engagement metrics

AI-powered insights: Surface trends and recommendations to improve social strategy

Best for: Mid-sized to enterprise social teams managing analytics and engagement across multiple networks

Sprout Social also provides social listening capabilities and a unified inbox to help you reply to all DMs from one place. A unique feature of Sprout Social is their employee advocacy tool, which helps you amplify your messages using employees, thereby improving engagement.

With Sprout Social's social media analytics software, you can analyze various topics and hashtags to understand the best social content for getting engagement from your audience.

Tip: Take a look at Sprout Social alternatives.

While not solely designed for social media analytics, Google Analytics does provide some great insights into how your social content is performing.

Traffic attribution: Measure how social media contributes to website traffic and conversions

User journey analysis: Understand how social visitors interact with your website

Conversion tracking: Connect social campaigns to business outcomes and revenue

Audience insights: Analyze demographics and behaviors of social traffic sources

Custom reporting: Build dashboards that combine social and website performance metrics

Best for: Marketing teams focused on connecting social activity to website performance and conversions

You can assess how social performs against your other marketing channels when it comes to goal completions such as purchases, email subscriptions, or add-to-cart.

Hootsuite is a very recognizable name for those in social media. Their analytics platform helps you establish benchmarks and track your performance over time.

Social performance analytics: Track engagement, reach, and audience growth across platforms

Custom reporting: Create dashboards tailored to campaign and stakeholder needs

Social listening: Monitor brand mentions and trending conversations

Campaign measurement: Evaluate content performance and social campaign effectiveness

Team reporting workflows: Share insights across marketing and communications teams

Best for: Organizations managing social publishing, reporting, and analytics from a centralized platform

You can choose from 200+ metrics to create reports in multiple formats such as PDF and Excel.

While Hootsuite does a great job helping you analyze your performance on social channels you do need to integrate with other tools for more advanced insights, such as tracking brand mentions. 

Tip: Learn more about Hootsuite Alternatives

Statusbrew is a social media analytics tool for teams that want clear, cross-network reporting without spending hours in spreadsheets. It helps you track performance across channels, spot trends, and share client-ready insights from one place.

Engagement analytics: Measure response rates, conversation volume, and customer interactions

Social inbox reporting: Track team performance and customer engagement metrics

Audience insights: Analyze follower growth and audience behavior trends

Team performance analytics: Evaluate workflow efficiency and response effectiveness

Multi-channel reporting: Monitor engagement across multiple social platforms

Best for: Brands focused on customer engagement and social care analytics

You can start with ready-made 20+ report templates, then go deeper using 250+ KPIs to build custom dashboards. 

Tags make it easy to group posts by a theme and report on results over time. Statusbrew also includes social + web listening to track keywords, mentions, and sentiment, so you can connect performance changes with what people are actually saying.

With Talkwalker, your team can analyze your social performance from all angles. They help you understand sentiment ratings for your brand, as well as track the reach and engagement for various hashtags you use. 

Analytics: Track conversations, sentiment, and brand perception at scale

AI-powered trend detection: Identify emerging topics, risks, and opportunities automatically

Visual analytics: Monitor logo and image mentions beyond text-based conversations

Competitive intelligence: Benchmark social performance and share of voice

Best Social Media Analytics Tools & Software 2026

Market research is like turning on a light in a dark room; it shows you things you otherwise wouldn’t be able to see. For companies, consumer insights tools are worth their weight in gold, as they reveal what customers really need and want from a business. Companies that regularly collect consumer insights are in the best position to meet their target audience where they are and deliver on their expectations.

There’s more than one way to go about collecting and using consumer insights. Let’s look at some of the top consumer insights tools and companies that will keep you “in the know.”

Top consumer insights companies and tools

What to look for in a consumer insights tool

Enhancing your consumer intelligence with Meltwater

FAQ: Consumer insights tools & market research

Tip: Download our free Buyers Guide: AI Enabled Consumer Insights Platforms

Consumer insights tools are an essential part of any successful business. They provide companies with data-driven information to help them understand their customers. By leveraging audience insights, brands can identify trends, spot opportunities, improve the customer experience, and make informed decisions that will drive success.

Brand perception and competitive positioning

The best consumer insights tools offer a variety of features that allow businesses to monitor customer behavior, segment audiences, and analyze the effectiveness of marketing campaigns. With the help of these tools, companies can gain valuable insight into customer preferences and spending habits and create actionable strategies for reaching goals faster.

Additionally, consumer insights solutions give brands access to predictive analytics. This enables brands to anticipate customer needs before they even arise — a great way to stay one step ahead in an ever-changing market.

Consumer preferences, interests, and needs are constantly evolving. Sometimes, these shifts are obvious. But sometimes, old topics and trends die while new ones emerge seemingly overnight. And with information being shared at the speed of a social post these days, it’s more important than ever for brands to stay in the loop.

Online surveys, focus groups, and CRMs can only take you so far. Customer insights and market research play a key role in keeping you relevant. By learning what consumers are talking about, how they feel, and what they need and want, companies can cater to their customers and keep growing their business without delay.

Tip: Learn how to conduct a consumer trends analysis.

Staying on top of the trends and topics that are important to your audience can easily become a full-time job. Leverage these consumer insights companies and tools to streamline workflows and gain deeper analysis more quickly. 

Here are our top picks for consumer insights tools to help you get to know your customers better than ever:

As a social and media intelligence tool, Meltwater's consumer intelligence suite monitors millions of conversations in real-time across myriad channels, including social media platforms, blogs, forums, videos, news, podcasts, and even offline channels. Going beyond social listening, Meltwater tracks unlimited keywords and analyzes data around the global conversations captured.

Companies leverage Meltwater's consumer insights tool to:

Show how marketing directly impacts revenue

Unified intelligence platform: Analyze consumer conversations across news, social, forums, reviews, podcasts, and AI-generated environments in one connected view

Social listening and analytics: Monitor audience sentiment, behaviors, and emerging trends in real time across global channels

Advanced AI: Surface themes, anomalies, and audience trends automatically using AI-powered analysis

Consumer intelligence reporting: Transform audience and market data into executive-ready reports and actionable insights

Unmatched global data coverage: Access insights across millions of sources, 240+ languages, and extensive global social platforms

Best for: Mid-sized to enterprise brands needing real-time consumer intelligence, social listening, and AI-powered audience insights across global markets

Adding context to the data helps brands stay ahead of consumer shifts (and their competitors). With preferences evolving faster than ever, Meltwater gives companies a better way to stay in tune with trends, topics, and conversations that will guide their marketing and outreach.

Digital media firm and Meltwater client, Brut., specializes in socially conscious videos and news. Their goal is to find topics of interest for their target audience to inform journalists’ conversations and coverage. Brut. relies on Meltwater data to analyze conversations that were already occurring so the firm’s clients could join in authentically.

With a holistic understanding of your industry, you can better position your brand and its products and services. Curious to see it in action? Request a 15-minute demo using the form below!

A market research platform specializing in consumer products, Euromonitor works with global analysts to uncover the latest trends and business intelligence that allow companies to maintain a competitive edge.

Market intelligence: Analyze consumer markets, industries, and economic trends globally

Consumer data analysis: Access demographic, lifestyle, and purchasing behavior insights

Forecasting tools: Identify future market and consumer behavior trends

Competitive benchmarking: Compare brand and industry performance across regions

Global research coverage: Access international market intelligence across industries and categories

Best for: Enterprise organizations conducting global market research and consumer trend analysis

Much of their research is “on the ground,” working with local partners in more than 100 countries to uncover local and culturally relevant insights.

Along with custom market research projects, which cater to individual client questions, the consumer insights company also offers technology products for daily analysis of eCommerce trends.

GlobalData provides insights throughout the consumer value chain, from customers to suppliers to manufacturers and everyone in between.

Industry intelligence: Analyze market conditions, competitors, and consumer trends across sectors

Consumer insights research: Access datasets covering customer behaviors and preferences

Forecasting analytics: Monitor future market and industry developments

Competitive intelligence: Benchmark business performance and market positioning

Enterprise reporting: Generate strategic reports and market outlooks for stakeholders

Best for: Enterprises needing large-scale industry, market, and competitive intelligence

Offering global insights and trends, the market research company spans more than 50 countries across 745 different audience segments. They also offer consultancy services on a client-by-client basis, allowing you to gain contextual market insights that matter most.

Brands can request a free demo of the platform to see everything from how consumer perceptions are collected to what’s included in the reports.

Specializing in healthcare data and trends, IQVIA supports life science organizations on their missions to make the world a better place.

Healthcare consumer intelligence: Analyze patient, provider, and healthcare market behaviors

Real-world data analytics: Access healthcare-focused consumer and treatment insights

AI-powered analytics: Surface healthcare trends and predictive insights from large datasets

Market access intelligence: Evaluate healthcare engagement and patient outcomes

Clinical and commercial insights: Connect healthcare data with business strategy and decision-making

Best for: Healthcare and pharmaceutical organizations analyzing patient and market behaviors

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