The Top 22 Social Media Monitoring Tools 2026

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

How can you get started with GEO? Test your GEO readiness

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.

If you’re not optimizing for generative engines, you just might never reach your audience at all.

Kelly McKenna, Regional Director, Account Management at Meltwater

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.

Test your GEO readiness: a 2-minute self-assessment.

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>

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

Effective LinkedIn management has evolved beyond simple post-scheduling. In 2026, the platform serves as the primary engine for B2B lead generation, executive thought leadership, and talent acquisition. 

To maintain a competitive edge, businesses require sophisticated monitoring tools that provide deep insights into audience behavior, competitor movements, and brand sentiment. This guide evaluates the premier tools available today to help you optimize your professional presence on LinkedIn. 

Why monitoring LinkedIn is essential in 2026

LinkedIn has become a critical business intelligence channel

How we evaluated the best LinkedIn monitoring tools

How to choose the right tool for your business model

Get started with Meltwater LinkedIn monitoring

The role of LinkedIn has expanded significantly over the last several years. What was once primarily a professional networking site has become a critical platform for brand building, executive visibility, lead generation, recruitment, and industry influence. 

As competition for attention continues to increase, organizations need more than basic engagement metrics—they need actionable intelligence that helps them understand what conversations are happening, who is driving them, and how they can respond strategically.

LinkedIn is now one of the most important sources of professional conversation online. Industry trends, executive perspectives, customer feedback, hiring activity, and competitor announcements often appear on LinkedIn before they surface elsewhere.

Monitoring these conversations helps organizations:

Understand audience priorities and concerns

Discover potential business opportunities

Stay informed about changes within their industry

Rather than relying on periodic reporting, monitoring enables teams to stay connected to real-time developments.

Monitoring transforms data into actionable intelligence

Basic analytics show what happened. Monitoring helps explain why it happened and what to do next.

Modern LinkedIn monitoring tools allow teams to:

Track conversations around specific topics or brands

Understand which content themes resonate most strongly

Detect unusual spikes in conversation volume

This context helps organizations make more informed strategic decisions.

Professional reputation directly impacts business outcomes. A single negative discussion can quickly gain visibility among customers, prospects, partners, and industry influencers.

Identify influential voices discussing the company

This allows communications and marketing teams to address concerns before they escalate.

More effective lead generation and thought leadership

Many high-intent buying conversations now take place on LinkedIn.

Identify prospects discussing relevant challenges

Discover content opportunities aligned with audience interests

Track engagement with executive thought leadership

Understand which topics generate meaningful business conversations

These insights help improve both lead generation and content performance.

To provide an objective ranking, we subjected each tool to an evaluation framework based on five critical pillars of performance:

A tool is only as good as the data it retrieves. We prioritized tools that maintain official LinkedIn Marketing Partner status. This ensures that the data is pulled directly from LinkedIn’s API, reducing the risk of data gaps or account bans associated with "scraping" tools.

In 2026, knowing your own numbers is only half the battle. We looked for tools that allow users to input competitor URLs to track their follower growth, posting frequency, and top-performing content formats without requiring administrative access to those pages.

Employee profiles often see 10x the reach of corporate pages. We evaluated tools based on their ability to aggregate data from multiple team members, allowing companies to measure the collective impact of their staff’s professional activity.

Data must be accessible to be useful. We assessed the "time-to-insight" for each platform—how quickly a user can generate a professional PDF report or a customized dashboard that summarizes key performance indicators (KPIs).

We analyzed whether the pricing models are transparent and if they offer a logical path for growth. A tool should be as effective for a startup as it is for a global enterprise.

Which platforms rose to the top of our evaluation?

The following tools represent the best-in-class solutions for various business needs, from individual creators to multinational corporations.

<table class="table-primary alternate-color">
  <thead>
    <tr>
      <th>Tool</th>
      <th>Best For</th>
      <th>Social Listening</th>
      <th>Competitor Tracking</th>
      <th>Employee Advocacy</th>
      <th>Reporting</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Meltwater</td>
      <td>Enterprise monitoring and intelligence</td>
      <td>✓</td>
      <td>✓</td>
      <td>Limited</td>
      <td>Advanced</td>
    </tr>
    <tr>
      <td>Sprout Social</td>
      <td>Analytics and social management</td>
      <td>✓</td>
      <td>✓</td>
      <td>✓</td>
      <td>Advanced</td>
    </tr>
    <tr>
      <td>Hootsuite</td>
      <td>Social selling and team coordination</td>
      <td>Limited</td>
      <td>✓</td>
      <td>✓</td>
      <td>Advanced</td>
    </tr>
    <tr>
      <td>Brandwatch</td>
      <td>Enterprise sentiment analysis</td>
      <td>✓</td>
      <td>✓</td>
      <td>Limited</td>
      <td>Advanced</td>
    </tr>
    <tr>
      <td>Agorapulse</td>
      <td>Community management and ROI tracking</td>
      <td>Limited</td>
      <td>Limited</td>
      <td>No</td>
      <td>Advanced</td>
    </tr>
    <tr>
      <td>Keyhole</td>
      <td>Campaign and hashtag monitoring</td>
      <td>✓</td>
      <td>✓</td>
      <td>No</td>
      <td>Advanced</td>
    </tr>
    <tr>
      <td>SocialPilot</td>
      <td>Agency reporting and account management</td>
      <td>Limited</td>
      <td>Limited</td>
      <td>No</td>
      <td>Moderate</td>
    </tr>
    <tr>
      <td>LinkedIn Analytics</td>
      <td>Native LinkedIn performance tracking</td>
      <td>No</td>
      <td>Limited</td>
      <td>Limited</td>
      <td>Basic</td>
    </tr>
  </tbody>
</table>

LinkedIn conversations rarely happen in isolation. Brand perception, executive thought leadership, industry trends, and customer sentiment often spill across social media, news outlets, blogs, forums, and AI-generated environments. 

Unified intelligence: Monitor for LinkedIn posts alongside news, social media, blogs, forums, reviews, and AI-generated content in a single platform

Social listening: Track brand mentions, industry keywords, competitor conversations, and audience sentiment in real time

Media intelligence: Monitor earned media coverage and understand how professional conversations connect to broader market narratives

AI-powered insights: Automatically identify trends, sentiment shifts, emerging topics, and unusual conversation patterns

Executive-ready reporting: Transform LinkedIn and social data into stakeholder-ready dashboards and reports

Competitive intelligence: Benchmark share of voice, brand perception, and industry visibility against competitors

Best for: Enterprise organizations requiring comprehensive monitoring and intelligence

Meltwater helps teams understand how LinkedIn conversations fit into the broader market landscape by combining social listening, media intelligence, consumer intelligence, and AI-powered analysis in one unified platform. This allows PR, comms, marketing, and research teams to monitor brand perception, track industry conversations, benchmark competitors, and uncover actionable insights from LinkedIn activity and beyond.

Meltwater offers customized enterprise pricing based on organizational needs, users, and monitoring requirements.

Sprout Social is one of the most popular social media management platforms for organizations that need a balance of publishing, engagement, analytics, and listening capabilities. Its LinkedIn monitoring features help teams understand content performance while also providing visibility into audience engagement and industry conversations.

Premium analytics: Generate customizable reports for LinkedIn performance and engagement

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

Employee advocacy: Encourage employees to share approved company content

Tagging and campaign tracking: Organize content and conversations by initiative

Best for: Comprehensive analytics and social media management

The platform's user-friendly interface and reporting capabilities make it especially attractive to marketing teams that need to demonstrate the impact of their LinkedIn efforts to stakeholders.

Plans start at approximately $199 per user per month, with advanced listening and analytics available in higher tiers.

Hootsuite remains a popular choice for organizations managing multiple social accounts, teams, and workflows. Its monitoring capabilities are particularly valuable for organizations focused on employee advocacy, social selling, and large-scale content coordination.

Analytics: Track engagement, follower growth, and content performance

Employee advocacy tools: Enable employees to share company content more effectively

Team collaboration workflows: Manage approvals, publishing, and content governance

Custom dashboards: Visualize performance metrics and trends

Competitive monitoring: Benchmark activity against competitors

Best for: Social selling and large-team collaboration

The platform provides visibility into both content performance and team productivity, helping organizations streamline LinkedIn management across departments.

8 top LinkedIn monitoring tools for 2026. Compare features to track performance and brand activity on LinkedIn.

8 Best LinkedIn Monitoring Tools for 2026

Become a certified influencer marketing professional!

In our industry, we know that learning never ends. Social media trends come and go, and it’s important to ensure that we stay ahead of the game. That doesn’t just require staying on top of the latest industry updates, but it means maintaining a consistent education of best practices to ensure that your skillset is a competitor.

While many of us are still living the remote-work life, 2024 is a great year for online learning. Such programs are a great way to ensure that you stay on top of the game, even though you may not physically be in it.

To help give you a competitive advantage, we compiled a list of influencer marketing courses and certificate programs every influencer marketing expert should consider enrolling in.

We'll take a look at 5 influencer marketing certificate programs you should know about:

Meltwater: Influencer Marketing Industry Certification

Udemy: Create Influencer Marketing Campaigns That Grow Your Brand And Increase Your ROI

Meltwater: Learn How To Find, Vet, Manage, and Measure Influencers

Meltwater: Advanced Recruiting, Collaborating, Payments, and More

Coursera: Influencer Marketing Strategy Course

All successful influencer campaigns are based on successful strategies. In this course, you will learn influencer marketing fundamentals in order to effectively launch winning campaigns. After completing the course, you will have a complex knowledge of influencer marketing that will allow you to identify where influencer marketing fits into your funnel, best practices for budgets, tools for successfully identifying relevant influencers, how to measure the impact of your campaigns, and much more! 

Introduction to Social Influencer Marketing

Sign up for the course: Meltwater Influencer Marketing Industry Certification

Up your influencer marketing knowledge with this thorough 7-part course covering the ins and outs of influencer marketing. Ensuring that marketers get the most bang for their buck, and learn how to run influencer campaigns with strong ROI.

Part 5: Partnerships and Collaboration Strategies

Part 6: Measuring Your Influencer Campaign

Sign up for the course: "Create Influencer Marketing Campaigns That Grow Your Brand And Increase Your ROI – Don’t Pay-And-Pray"

The Meltwater influencer marketing solution is one of the best influencer marketing platforms, so why not take a course on all the ways you can leverage it for your influencer marketing strategy. Brought to you by Meltwater, this course will give you all the foundations you need to run successful campaigns with the tool.

Finding potential influencers to work with

Managing your influencer marketing campaign (influencer management)

Measuring your influencer campaign performance

Sign up for the course: Learn How To Find, Vet, Manage, and Measure Influencers

Once you receive the foundational knowledge on leveraging Meltwater for your influencer marketing strategy, it’s time to enroll in the advanced course. With this, you will learn how to use the advanced features of Meltwater's social influencer platform including recruiting, managing influencer contracts, processing influencer payments, integrations, custom scoring, and workspaces. This is the ultimate course for learning how to become a Meltwater Power User!

Introduction to Influencer Marketing with Meltwater: Advanced

Sign up for the course: Advanced Recruiting, Collaborating, Payments, and More

Offered by Rutgers University, this college-level course lets you learn the fundamentals of building a successful influencer marketing strategy. The course covers everything from the difference from B2B to B2C strategy to determining relevant influencer marketing KPIs that will properly measure your campaign success. And, in order to complete the course, you must submit an influencer marketing strategy pitch, allowing you to feel confident in the skills you’ve acquired.

Top Influencer Marketing Certificates To Add To Your LinkedIn

When is the best time to post on social media?

Every social media manager wants an answer to this question! Social media posting times can influence who sees your post and the engagement rate on your social posts, so knowing when to post plays a part in the success of any social media management strategy.

So, what is the right publishing time to ensure maximum visibility and impact on your followers?

The answer isn't as simple as 6:00 p.m. on Sunday (despite what people may think!). The best times to post on Facebook, LinkedIn & Co. will depend on when your followers are online and when they use specific social channels. That might not be the answer you were looking for, but there are ways to figure out social media peak times—the time and days when your audience is online and engaging with your content. 

We'll show you how to determine them—plus share a few of the social media posting times that studies suggest as optimal times to post.

This infographic includes some quick tips that can help you organize your content calendar in order for your posts to get more exposure. 

https://meltwater-experience.pages.dev/experience-social-media-infographics/

When Is the Best Time to Post on Social Media?*

What Is the Best Time to Post on Facebook for Maximum Exposure?

What Is the Best Time to Post on Instagram?

What Is the Best Time to Post on Twitter / X?

What Is the Best Time to Post on LinkedIn?

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How to Find the Best Times to Post on Social Media for Your Brand

Best Times to Post on Social Media are Impacted by Time Zones

While peak times vary across the different social media platforms, the afternoon appears to be a popular time to post to social media. Content shared on Tuesdays, Wednesdays and Thursdays also seems to outperform content shared on other days of the week.

Best time to post on Facebook: Tuesday-Friday from 9 a.m. - 1 p.m.

Best time to post on Instagram: Wednesday & Thursday from 5 a.m., 11 a.m., and 2 p.m. - 3 p.m.

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