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Generative AI is everywhere now. You see it in content, campaigns, customer experiences, and even internal workflows. It promises speed, scale, and efficiency, but there’s a harder question sitting underneath all that progress; Do your audiences actually trust it?

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

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

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? [Beginner’s Guide 2023]
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

A buyer, journalist, or analyst types “best platforms for…” into ChatGPT. Within seconds, the model produces a list of vendors, explains what each one does, and frames your entire category, including your brand.

Your messaging passes through a filter you didn’t build. It compresses everything—your positioning, your differentiators, your relevance—into a paragraph written by a system you don’t control. And without the right visibility monitoring workflow, you won’t see this output.

Multiply this scenario by thousands of queries happening every day. Large language models (LLMs) now shape your brand narrative. The only question is whether the narrative they’ve learned is accurate.

This is why tracking LLM visibility matters. These models adjust their answers based on new content, reviews, and competitor signals. Without AI media monitoring, you allow an unpredictable system to shape your positioning for you. 

Learn how to track LLM visibility to ensure the version of your brand people see in AI platforms matches the one you intend.

Why Does LLM Visibility Matter for Brands?

What Should You Look for in an LLM Tracking Solution?

How Meltwater Helps Brands Track LLM Visibility

How to Get Started with LLM Visibility Tracking

Making LLM Visibility a Measurable Brand Signal

Imagine you’re planning a campaign and you want a quick answer to something simple, like: “How do I work with the right influencers?”

A few years ago, you’d open Google, skim a bunch of links, check reviews, compare websites, and maybe read a few blog posts.

You get one tidy answer. No scrolling and no gazillion tabs, just a confident summary that sounds authoritative. This is how your customers, stakeholders, and even journalists now gather information: through LLM-generated summaries. This behavior is already mainstream. Bain & Company reports that roughly 80% of consumers now lean on AI overviews for at least 40% of their searches. 

Bain & Company chart showing 80% of users rely on AI summaries at least 40% of the time (Source)

This growing reliance on AI-generated answers from search engines underscores why LLM visibility matters.

Consider the drivers making LLM visibility critical for brands: 

AI assistants are becoming a primary research tool. Gartner estimates that by 2026, volume on traditional search engines will drop 25% as users shift their questions to AI chatbots and virtual agents.

LLM answers shape first impressions. If an AI assistant cites outdated details, misinterprets reviews, or summarizes sentiment inaccurately, that version of your brand becomes the user’s starting point. AI presents a definitive answer, not a list of search results to compare.

Models rely on the same signals brands already monitor. LLMs pull from news, social media conversations, reviews, forums, and owned content. If those signals are outdated, inconsistent, or dominated by competitors, the AI summary will reflect that.

AI recommendations influence real decisions. McKinsey found that half of GenAI users factor AI recommendations into purchase decisions, especially for complex or high-consideration categories.

As more consumers turn to AI assistants for answers, brands need visibility into how these models describe them, since these summaries now shape customer perception and decisions.

To track LLM visibility effectively, turn vague AI mentions into something measurable. 

The simplest way is to use a fixed set of prompts that reflect real user questions (e.g., “best tools for…”, “alternatives to…”, “top platforms for…”) across ChatGPT, Gemini, Claude, Perplexity, and any AI search interfaces you care about. 

Review the answers for the four metrics below and record them the same way each time, just like you would track share of voice or SERP positions. Over time, these repeated runs become your baseline and show you if your LLM search visibility is improving, slipping, or becoming inconsistent.

Here are the four core LLM metrics to get an idea of your brand presence in AI search engines:

Coverage: Track whether your brand appears for all category-level queries. This gives a simple presence rate similar to appearing on the first page of search results. 

Frequency: Measure how often your brand shows up across multiple prompts and variations. This confirms whether you’re consistently recognizable to the model.

Placement: Note where you appear in the generated answer. Top placement signals strong relevance, while later placement suggests weaker authority.

Tone and accuracy: Check if the model’s description of your brand is accurate, up-to-date, and aligned with your actual positioning.

Suppose you want to understand Meltwater’s LLM visibility. If you run “best media intelligence platforms” in both ChatGPT and Perplexity, you get two slightly different outputs, yet both show how Meltwater fares across these four metrics.

ChatGPT ranks Meltwater at #1, accurately describes its capabilities (media intelligence across news, TV, radio, online, and social), and frames it as strong for organizations needing wide coverage.

ChatGPT response ranking Meltwater first for “best media intelligence platforms” and listing its capabilities (Source)

This gives you clear signals across all four metrics: Meltwater appears, appears early, appears consistently, and is described correctly.

Perplexity also lists Meltwater first, but the description is more functional and less narrative. 

Perplexity search result listing Meltwater as the top recommendation for “best media intelligence platforms (Source)

Combining these outputs provides a simple, measurable view of Meltwater’s LLM visibility for this query:

Tone and accuracy: Correct, but with different depth and framing

This is also where many teams introduce an LLM tracking tool, since manually running the same prompts each month can get messy. 

Meltwater’s GenAI Lens solves this operational need. It helps teams run fixed prompts across all major LLMs and automatically stores their outputs, allowing them to compare these four metrics over time. 

Meltwater’s dashboard showing 90-day LLM responses with prompts, models, sentiment, key phrases, and source links (Source)

For example, it will automatically indicate if future versions of Perplexity start positioning your brand differently or if new competitors begin appearing above you.

Once you know what you’re measuring, you need a simple way to consistently collect results. Avoid testing dozens of prompts or running complex setups. Instead, create a repeatable workflow that shows how LLM outputs shift over time.

Here are some quick, easy ways to set up AI brand monitoring workflows: 

Start with 3–5 prompts that reflect how users actually search for your category. 

For example, a realistic set of prompts for Meltwater might include:

“Best PR platforms for enterprise teams”

“Top social listening tools for brands”

Consistency matters more than quantity. It ensures usable month-over-month comparisons.

2. Run the same prompts across the same models each time

You don’t need every LLM on the market. Pick the ones your audience is likely to use (typically ChatGPT, Perplexity, and a secondary model like Gemini or Claude). 

A competitor suddenly appears more often.

Outdated product descriptions start creeping in.

The tone shifts (for example, overly generic or overly negative).

You don’t need anything fancy. Use a simple table or spreadsheet to capture the outputs. 

Capture the following for each model and prompt: 

The purpose is to create a baseline. After the first run, subsequent runs reveal whether something changed and whether that change is positive or negative.

Meltwater’s GenAI Lens replaces manual logging. It automatically stores each run, tagging it with sentiment, key phrases, brands mentioned, and the exact date—enabling you to compare month over month without re-running everything manually.

LLMs constantly absorb new content, adjust weights, and refine their training data. As a result, your visibility might shift even if nothing has changed on your end.

For example, a competitor getting a lot of press coverage or reviews in a short window may appear earlier or more often in AI-generated lists, even if your product hasn’t changed.

Track changes consistently to spot this early, avoiding the surprise of discovering months later that your category positioning has drifted.

Once you capture outputs across a few LLMs, evaluate what those results mean. 

Identify where the models get things right, wrong, or inconsistent to understand your brand’s digital footprint.

Here are some things to consider when evaluating results:

Look for outdated or incomplete descriptions: LLMs often pull from older public content. So if ChatGPT or Perplexity frames Meltwater only as a “media monitoring tool” and leaves out social, consumer, or influencer capabilities, it’s a sign the model is relying on outdated or incomplete sources. That usually indicates that older owned content, reviews, or third-party summaries need updating.

Accuracy issues or hallucinations: LLMs sometimes fabricate details. Models often blend older reviews or competitor capabilities, incorrectly crediting a tool with features it lacks, such as a built-in journalist CRM or native press-release hosting.

Competitors receiving richer or more detailed descriptions: Note if the model provides competing brands with longer, clearer, or more up-to-date descriptions. This usually reflects fresher third-party content or stronger review signals about those vendors.

Narrative drift over time: If your brand appears first, then drops lower later, or if the framing shifts from “comprehensive solution” to “niche tool,” it signals that the model’s understanding has changed. This results from new training data, better competitor content, or stale content about you.

Integrate visibility tracking into broader brand monitoring

LLM visibility only becomes meaningful when you connect it to the rest of your brand monitoring work. AI models don’t invent narratives out of nowhere. They absorb signals from media coverage, social chatter, reviews, SEO results, and competitor momentum. 

When you evaluate how ChatGPT or Perplexity describes your brand, the next step is to understand where that description came from and how to act on it.

Here’s how to map LLM behaviour back to the real-world sources that influence it:

How to Track LLM Visibility: Metrics, Tools & Benefits

You run social for a B2B brand. Your team launches a new feature, you schedule the posts, and you wait for traction. Surprisingly, the real lift doesn’t come from your own channels. 

It comes when a trusted industry expert on LinkedIn breaks down why that feature matters, when someone posts “we tried this, here’s what changed,” and a niche creator includes your update in their newsletter.

B2B influencer marketing helps you tap into the voices your buyers already trust, including the operators, consultants, analysts, and creators who explain problems clearly and share what actually works. 

Learn what B2B influencer marketing really is, why it works so well for long sales cycles, and how your team can build a strategy that connects with your target persona, drives brand awareness, builds authority in the industry, and generates demand for your product. 

Why Do Brands Use B2B Influencer Marketing?

Who Are B2B Influencers? (and How to Find the Right Ones)

How to Build a B2B Influencer Marketing Strategy That Delivers

What to Look for in a B2B Influencer Marketing Tool

The Future of B2B Influencing: How AI Is Redefining Relationships

B2B influencer marketing involves partnering with industry experts, analysts, practitioners, and industry leaders who already have your target buyers’ trust. You can leverage their authority to shape consumer awareness, perception, and purchase decisions.

Unlike B2C influencer marketing, which often relies on lifestyle appeal or entertainment value, B2B influencer marketing educates buyers. Influencers break down complex topics, explain how a solution fits into workflows, and de-risk decisions by showing real examples and outcomes.

These are the people your customers follow to stay ahead: cybersecurity analysts, RevOps leaders, fintech founders, marketing strategists, supply-chain consultants, and data scientists.

For instance, if you run a cybersecurity company, your audience won’t trust a celebrity or macro-creator.

The security engineer on LinkedIn who breaks down new breaches

The CISO who shares lessons from real incidents

The YouTuber who explains zero-trust architecture in plain English

These industry experts influence your buyers long before sales come into play.

Here’s how the two influencer marketing models differ in practice:

<table class="table-primary alternate-color">
  <tbody>
    <tr>
      <td>Aspect</td>
      <td>B2B Influencer Marketing</td>
      <td>B2C Influencer Marketing</td>
    </tr>
    <tr>
      <td>Influencer Type</td>
      <td>Industry experts, practitioners, analysts, consultants, and founders</td>
      <td>Creators, celebrities, and lifestyle influencers</td>
    </tr>
    <tr>
      <td>Audience</td>
      <td>Decision-makers, buyers, executives, and operators</td>
      <td>Mass consumers</td>
    </tr>
    <tr>
      <td>Goal</td>
      <td>Education, trust-building, reducing risk, and thought leadership</td>
      <td>Awareness, aspiration, entertainment, and impulse buying</td>
    </tr>
    <tr>
      <td>Content Format</td>
      <td>Webinars, whitepapers, LinkedIn posts, product walkthroughs, conference talks, and case studies</td>
      <td>Reels, unboxings, aesthetic content, and lifestyle imagery</td>
    </tr>
    <tr>
      <td>Sales Cycle</td>
      <td>Long, multi-stakeholder</td>
      <td>Short, emotional, and individual</td>
    </tr>
    <tr>
      <td>Impact Measurement</td>
      <td>Pipeline influence, lead quality, share of voice, analyst mentions, and category perception</td>
      <td>Engagement, reach, clicks, and conversions</td>
    </tr>
    <tr>
      <td>Platforms</td>
      <td>LinkedIn, X, YouTube, podcasts, webinars, and newsletters</td>
      <td>Instagram, TikTok, YouTube, and Snapchat</td>
    </tr>
  </tbody>
</table>

According to Sprout Social, 67% of B2B brands use influencer marketing to increase brand awareness, and 54% use it to build brand credibility and trust. Simply put, brands use B2B influencer marketing to reach buyers through people they already trust. 

Decision-makers rarely learn about new products from ads anymore. Instead, they turn to practitioners, consultants, analysts, and niche creators who share honest, experience-based opinions. This established trust is the main reason B2B companies invest in influencer partnerships. 

Instead of broadcasting to everyone, B2B influencers give brands access to specific professional circles, including:

Private LinkedIn communities of engineers, operators, or CMOs

Tight networks around analysts, consultants, and independent experts

Slack and Discord groups where teams trade advice

Take the Top of the Funnel Slack community. Thousands of B2B marketers and RevOps leaders share tactics, compare tools, and often ask questions like, “Which product are you using for X?” or “Is anyone else seeing this?” 

Slack message discussing sudden keyword drops with attached Ahrefs keyword graphs (Source)

In these moments, a reply from a trusted practitioner influences how the community views SEO tools, Google updates, or content tactics. 

Authority is another major reason brands rely on B2B influencers. When an expert introduces your product or idea, your brand immediately inherits their credibility. This is critical in long, high-risk buying cycles, where buyers want reassurance before committing. 

Brands also benefit from content co-creation. For internal teams that struggle to produce content that feels fresh, practical, and grounded in real-world use, influencers fill that gap by creating authentic, peer-to-peer content that professionals respond to. 

Here are some content formats brands can benefit from:

Teardown posts (“here’s what this tool actually fixes”)

Side-by-side comparisons or honest pros/cons

These formats perform exceptionally well on channels like LinkedIn, YouTube, podcasts, and industry communities that matter most to B2B.

B2B influencers are people your buyers already listen to. They’re the practitioners, consultants, analysts, and niche creators who make complicated topics easier to understand and share their real-world experiences. 

B2B influencer marketing isn’t one-size-fits-all. Think of it as a spectrum featuring the following influencer types:

Practitioners: These include engineers, PMs, data analysts, marketers, RevOps managers, and security professionals. Buyers trust the people who face the same problems they do.

Consultants and advisors: These are independent experts who have seen patterns across many companies. Their opinions often shape industry best practices.

Analysts and researchers: Think of Gartner, Forrester, IDC, or independent analysts on LinkedIn and YouTube. Their reports and category evaluations matter because many enterprise teams won’t even consider a vendor unless it appears in key analyst reports such as the Gartner Magic Quadrant or the Forrester Wave Report.

Niche creators: YouTubers, newsletter writers, podcasters, and LinkedIn creators who explain tools, trends, and workflows. For example, Corey Quinn, a cloud-cost expert, regularly posts breakdowns and AWS commentary on Twitter, YouTube, and podcasts, influencing how engineering teams think about cloud spending.

Halloween is here, and I&#39;m reflecting on the real monsters in our industry 🎃

You know what&#39;s truly terrifying?

Getting your AWS bill and realizing you&#39;ve been charged $47,000 for data transfer… | Corey Quinn

Founders and operators: People operating in the space who openly share what they’re testing or struggling with. “Operator-to-operator” advice carries enormous weight in technical and startup markets.

Community leaders: Members everyone tags in Slack groups, forums, Discords, subreddits, or industry communities. One comment from them can quietly shift the perception of a tool or tactic. 

Not every creator with followers can influence a B2B buying decision. To evaluate whether someone is a good fit, look for the following: 

Relevance: Do they talk about the exact problems your buyers deal with? Someone who posts daily about cloud cost issues offers more value to AWS-heavy teams than someone with 100k general followers.

Credibility: Do people trust their experience? Look for thoughtful comments, peer tags asking questions, and posts that pertain to real work.

Quality of engagement (not quantity): Are people asking for advice? Are there honest conversations happening in replies? High-signal comments matter more than likes.

Clarity of content: Can they explain complex things simply? Corey Quinn is a perfect example of this, turning something as highly specialized as AWS billing into clear, relatable posts. 

Tone and brand fit: Ensure their communication style aligns with how you want your product represented.

As effective as B2B influencer marketing is, most B2B influencers aren’t on flashy consumer platforms. You’ll find them where professionals learn, troubleshoot, and trade advice. 

Here are some reliable places to find experts and build your influencer marketing strategy:

LinkedIn: Search by topic (SOC 2, RevOps, cloud cost, demand gen). Look for creators who consistently attract comments from practitioners, not random engagement.

YouTube: Target technical explainers covering topics like cloud, cybersecurity, data, finance, RevOps, and engineering. Niche creators wield strong influence here.

Industry communities: Monitor Slack and Discord groups like Top of the Funnel, Superpath, RevOps Co-op, Analytics Engineers, etc. These spaces reveal the experts people go to for help.

Podcasts and newsletters: Hosts covering specific topics (e.g., product, AI, cybersecurity, marketing, cloud, etc.) often shape how teams think. For example, podcast host Lenny Rachitsky regularly discusses product decisions, tool choices, and workflows with product leaders and growth experts. Since many PMs and founders follow these conversations, hosts like him influence what teams try next.

Lenny’s Podcast page showing a playlist of recent episodes, including their cover art (Source)

Influencer marketing tools: Modern influencer marketing platforms like Meltwater’s influencer marketing suite simplify discovery. Find the right B2B influencers by searching for creators by topic, analyzing their audience makeup, and checking engagement quality to assess whether they’re a good fit. Instead of manually hunting across platforms, you can filter by expertise, review real audience data, and shortlist credible creators. 

Meltwater’s influencer search interface showing creator profiles filtered by the topic yoga (Source)

A good B2B influencer program doesn’t start with “Who should we work with?” It starts with “What do we want to achieve?” Here’s a simple way to build an effective influencer marketing strategy that drives results.

Before contacting anyone, decide what your team needs the influencer marketing program to do. 

Here are some goals companies frequently have:

Brand awareness: Get in front of the people you want to sell to, whether they’re product managers, security leads, RevOps managers, or founders. If they’ve never heard of you, influencer content helps put your brand in their daily feed and community spaces.

Trust and credibility: Gain validation from people your buyers respect. Have a practitioner or expert validate your approach, explain how your product works, or share why it solved a real problem for them.

Demand generation: Drive specific actions such as webinars and trial signups, newsletter subscriptions, and demo requests. Influencers who create helpful walkthroughs or share honest experiences usually bring in higher-quality interest because their audience trusts their recommendations. 

The Meltwater Blog

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B2B Influencer Marketing: What it is and Why it Works

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