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Chris Hackney is a technology executive and leader with a proven track record of driving innovation and growth for B2B SaaS companies. He has served as Meltwater's Chief Product Officer since April 2024.

Chief Product Officer

See all blogs written by Chris Hackney, Chief Product Officer at Meltwater.

Author: Chris Hackney

TL;DR - Meltwater’s 2026 Mid-Year Release

Meltwater’s 2026 Mid-Year Release helps brands take control of their narrative across media, social platforms, creators, and AI systems with faster insights, AI-powered recommendations, and real-time intelligence tools.

New AI capabilities across GenAI Lens, Mira, Influencer Marketing, and Media Relations turn complex data into actionable guidance, helping teams improve AI visibility, automate reporting, personalize outreach, and make smarter decisions faster.

Expanded monitoring and trend detection capabilities give teams deeper visibility into conversations happening across video, social, news, and AI-generated content, helping brands stay ahead of sentiment shifts and emerging trends.

The forces which shape brand perception have changed. Today, your brand story doesn’t live in one place, but moves across creators, journalists, social platforms, and now AI systems that summarize and amplify what’s being said about you. 

What your audience sees, and believes, is shaped by this entire complex ecosystem, not just your own messaging, a shift that creates both risk and opportunity.

Meltwater’s 2026 Mid-Year Release is built for this new reality. It gives you the clarity, speed, and control you need to understand your brand narrative, and actively shape it.

Here are the 8 product updates you need to know.

3. Unlock Video Conversations with Speech-to-Text Analysis

4. Bring Meltwater Insights Directly into Slack

7. Make Smarter Decisions with Influencer Marketing AI Assistant

Navigate the New Reality of Brand Perception

FAQ About Meltwater’s 2026 Mid-Year Release

Measuring your brand performance in AI visibility is a great first step, but what are you supposed to do with all that data? The answer wasn’t always clear, until now! 

With GenAI Lens’ new AI powered recommendations you get clear, structured guidance delivered weekly, so your team knows exactly what to do next.

Each recommendation connects directly to your brand data and provides a narrative your team can follow, not just surface-level insights.

Quickly identify the gaps in your brand visibility

Identify the sources shaping AI responses

Get clear, tactical next steps to improve your presence

Reporting should be a showcase of your GEO strategy progress, not a time-waster that gets in your way. AI generated reporting in GenAI Lens now automatically creates polished, branded PowerPoint summaries of your performance, complete with visuals and recommended actions.

Instantly generate executive-ready reports

Eliminate manual formatting and design work

Keep stakeholders aligned with clear, consistent updates

Track narrative, visibility, and competitive positioning

Some of the most important conversations about your brand happen in video, but most monitoring tools miss them. Speech-to-Text analysis in Meltwater changes that by turning spoken content from platforms like TikTok and Instagram into searchable, measurable data that you can explore and analyze more effectively 

Discover trends and narratives beyond captions and hashtags

Track how people actually talk about your brand

Insights are only valuable if your team can access them quickly. With the Mira Agent for Slack, you can ask questions and get brand and market insights without leaving Slack.

This frees up your team from ad-hoc requests, by giving everybody in your organization the power to ask Meltwater directly for insights from within Slack. No dashboards. No delays. Just answers.

Get instant insights with simple questions

Empower your entire team, no training required

Decisions don’t wait until you’re at your desk. Mira AI on the Meltwater mobile app gives you real-time insights wherever you are, with pre-built prompts for the questions you ask most. Get the insights you need, wherever you are. 

Monitor brand coverage and crises on the go

Compare performance against competitors instantly

The Trends Center now includes expanded coverage across X, Instagram, News, and Facebook, automatically surfacing what topics are gaining traction, with no setup required, giving you an instant view of what’s hot. 

What’s more, AI powered summaries provide all the analysis you need to quickly understand the trends unfolding in your market. 

Identify emerging trends before they peak

Jump into relevant conversations at the right moment

Build content that connects with what audiences care about

The new Klear AI Assistant helps you analyze influencer data, vet creators, and evaluate campaign performance using AI that’s grounded in real data. 

Get instant answers about creators and campaigns

Identify the best-fit influencers for your brand

The new pitch personalization capability in Media Relations means you can generate tailored outreach for key journalists, without slowing down your workflow. Each pitch is informed by a journalist’s recent coverage, helping your messages to land more consistently so you can secure more media placements. 

Write stronger, more relevant pitches faster

Your brand narrative is no longer static, and it’s no longer fully in your control. To keep up, you need the ability to understand what’s happening, respond in real time, and take action with confidence.

Meltwater’s 2026 Mid-Year Release is built to help you do exactly that. It brings together deeper intelligence, faster insights, and practical AI tools that turn complex data into clear direction. Instead of reacting after the fact, your team can stay ahead of trends, shape the narrative as it develops, and make decisions with clarity.

Discover more about the latest Meltwater innovations and how they can help your team move faster and shape your brand narrative with confidence.

Want to see even more Meltwater innovation? Explore all product updates here.

1. What is the main focus of Meltwater’s 2026 Mid-Year Release?

The release is designed to help brands better understand, monitor, and shape their narrative across today’s fragmented media ecosystem, including social media, news coverage, creator content, and AI-generated responses.

2. What are the biggest AI-powered updates in this release?

Key AI enhancements include GenAI Lens recommendations and automated reporting, Mira AI for Slack and mobile, the Influencer Marketing AI Assistant for influencer marketing, and AI-powered pitch personalization in Media Relations.

3. How does Speech-to-Text analysis improve brand monitoring?

Speech-to-Text analysis converts spoken content from platforms like TikTok and Instagram into searchable data, allowing teams to uncover trends, sentiment, and brand conversations that traditional caption-based monitoring often misses.

4. How can these updates help communications and marketing teams?

The new capabilities help teams move faster by automating reporting, surfacing trends earlier, improving collaboration through Slack and mobile access, and providing actionable insights that support smarter, more confident decision-making.

Request a demo of Meltwater

Take control of your brand narrative with Meltwater’s AI-powered 2026 updates for faster insights, reporting, and outreach.

Control Your Narrative: Meltwater’s 2026 Mid-Year Release

TL;DR: Key Lessons for Your AI Visibility Strategy

LinkedIn is emerging as a top source for AI answers. It ranks #2 overall in citations—second only to YouTube.

LinkedIn shows up consistently across industries. It appears among the top 5 cited domains in most major B2B categories analyzed.

LinkedIn’s presence is accelerating. LinkedIn’s citation share grew 26% across tracked models over the 4 week research project

Most citations point to individuals. Roughly 75% of LinkedIn citations come from member profiles.

Structured, specific content performs best. The most-cited LinkedIn posts consistently use clear formatting, headings, and concrete examples.

AI Search has Become a New Reputation Layer

LinkedIn Dominates Tech, Professional Services, FinTech and Marketing

The AI-Citable Content Recipe is Repeatable

Buyer-Intent Content Formats Top Citation Rankings

Third-Party and User-Generated Sources Have an Edge

Fresh, Original Content Creates More Opportunities

Your Practical Visibility Playbook for LinkedIn

The AI Brand Visibility Goal: Become the Answer


AI is changing how decisions get made, and our new research with LinkedIn shows exactly how brands are (and aren’t) appearing in the answers that matter. In this post, we break down the key findings, and you can download the full report, How LinkedIn Content Wins in AI Search, for a deeper look at the research. 

AI is reshaping search. Instead of scrolling through links, users now get instant, synthesized answers—driven by models that decide what sources to trust and what information to surface.

For marketers, that changes the game. Visibility is no longer just about ranking in search—it’s about showing up in the answers themselves. 

LinkedIn is a leading citation source in AI search

YouTube is the most cited source in our analysis at 1.52%, followed by LinkedIn with 0.53% of citations.Other cited platforms include: Reddit (0.44%), Capterra (0.38%), Medium (0.21%).

Citation Share is the proportion of times a brand, website, or source is cited by AI-generated responses compared to competitors within a given topic or query set. Because this research used millions of prompts and  AI cites such a vast range of different websites, even the most commonly cited can appear to have a low citation share percentage, despite being cited far more than others.

If your category conversations are happening on LinkedIn but your experts are not publishing there, AI tools may learn from competitors, customers, analysts, or independent creators instead.

LinkedIn Dominates Tech, Professional Services, FinTech and  Marketing

Our research shows LinkedIn performing especially well when questions are professional, technical, or decision-driven. 

LinkedIn ranked in the top 5 in citations for B2B searches across key industries, including  Technology & SaaS, Consulting and Professional Services, Financial Services and Fintech, Marketing & Advertising, and HR & Talent.

LinkedIn has more than 1.3 billion members, including executives, analysts, recruiters, consultants, technologists, and domain specialists who explain how their industries work, making it fertile ground for AI platforms seeking expert sources.

Within 14 business categories, LinkedIn is a top-five ranked domain in AI citations. 

<table class="table-primary">

  <thead>

    <tr>

      <th>Category</th>

      <th>Rank</th>

      <th>Category</th>

      <th>Rank</th>

    </tr>

  </thead>

  <tbody>

    <tr>

      <td>AI &amp; Data Science</td>

      <td>#1</td>

      <td>HR &amp; Talent</td>

      <td>#3</td>

    </tr>

    <tr>

      <td>Marketing &amp; Advertising</td>

      <td>#1</td>

      <td>Legal &amp; Compliance</td>

      <td>#3</td>

    </tr>

    <tr>

      <td>Leadership &amp; Strategy</td>

      <td>#2</td>

      <td>Technology &amp; SaaS</td>

      <td>#3</td>

    </tr>

    <tr>

      <td>Sales &amp; Revenue</td>

      <td>#2</td>

      <td>E-commerce &amp; Retail</td>

      <td>#3</td>

    </tr>

    <tr>

      <td>Supply Chain &amp; Logistics</td>

      <td>#2</td>

      <td>Real Estate</td>

      <td>#4</td>

    </tr>

    <tr>

      <td>Consulting &amp; Prof Services</td>

      <td>#2</td>

      <td>Healthcare &amp; Life Sciences</td>

      <td>#4</td>

    </tr>

    <tr>

      <td>Financial Services &amp; Fintech</td>

      <td>#2</td>

      <td>Energy &amp; Sustainability</td>

      <td>#5</td>

    </tr>

  </tbody>

</table>

AI visibility strategies should start with the questions buyers ask, not the channels marketers prefer. For professional queries, LinkedIn is often cited in the answer.

Across the models analyzed, 75% of LinkedIn citations came from content posted by individual members, while 25% came from Company Pages. 

This makes intuitive sense because LinkedIn profile metadata includes signals such as title, company, and industry. When credible people write about their own domain (with examples, data, and specific details) the content gives AI models confidence that the source is grounded in real expertise.

While individual member content tends to get cited more often, balance is important. Well- managed Company Pages and a strong bench of individual employees regularly posting quality content will work in conjunction with boosting your brand’s AI visibility.

Corporate Communications teams have a leading role to play in brand AI visibility strategy. Subject matter experts, executives, practitioners, and customer-facing teams should be encouraged to publish in their own voices, Communications teams can guide them with coordinated messaging and best practices. 

AI visibility is not a pure popularity contest; you don’t need huge audiences or content that regularly goes viral. Models reward relevance, domain expertise, and credible content that’s easy to read more than they reward wide reach.

Build a bench, not a single influencer program. The strongest programs will help many credible employees own specific topics and publish consistently.

The top-cited LinkedIn articles share a surprisingly practical structure. They use bullets (100%), clear headings (92%), named entities (75%), quantitative data (67%), comparison frameworks (50%), and decision guidance (33%)- all exactly the kind of structure AI systems can parse, summarize, and cite.

The ideal article is not a vague thought-leadership essay, but much closer to a practical buyer guide: a clear question, a direct answer, criteria, ranked options or examples, a how-to-choose section, and an FAQ.

Treat LinkedIn Articles like an answer you will give to a question. Put the answer near the top. Use sections. Name the tools, companies, categories, and criteria. Add numbers. Make trade-offs explicit.

The highest-performing formats mirror the way people ask AI tools for help. 

Best X listicles appeared in 54% of the top-cited content

Educational explainers and thought leadership with data also appear, but pure opinion is less likely to be cited on its own.

That does not mean every brand should only publish listicles. It means that AI systems need content that directly supports decision-making, like: which options is best, how to evaluate a vendor, what criteria matter, what risks to consider, and how one approach compares with another.

Turn expertise into decision support. The closer your content is to a potential customer question, the easier it is for AI to use.

Looking at the broader citation landscape, User Generated Content (UGC) platforms, such as LinkedIn, Reddit, and YouTube, accounted for 47.5% of all AI citations, while peer review sites made up 15.0%, and company websites totalled 18.7%.

Company websites remain important, but AI tools often look beyond them for independent validation, practitioner detail, and real-world examples. LinkedIn sits at the intersection of those signals: professional identities, domain expertise, and publishable long-form context.

Your owned site is only one factor in the citation equation. Pair it with credible third-party proof, LinkedIn expertise, and influencer programs.

Plain text posts and articles made up 83% of cited content in the report. 

Rich media or videos can help engagement, but citation visibility depends heavily on written clarity and the associated post. AI systems need words, structure, entities, and numbers they can retrieve and quote. Which LinkedIn content formats receive the most AI citations? 

This emphasizes that written, long-form expertise performs best in AI-driven citation systems. 

Do not let the production burden stop your experts from publishing. A sharp text post or structured LinkedIn Article can be more AI-visible than a highly produced asset with little extractable substance.

The report found that 72% of AI-cited content was original, not reshared. It also found that 48% of cited content was published in the previous three months, offering a strong rationale for consistency and recency.

Repurposing still has a role, but reposting alone is not enough. The best AI visibility programs will create original content, on a predictable cadence, that answers questions. The key is to continuously refresh the content as categories, tools, and questions evolve.

Assign publishing cadence by topic owner. A practical starting point is two to three posts per week per expert, supported by editorial templates and data inputs.

Start by auditing the answer space to understand what your buyers are asking AI. Identify 25–50 high-intent prompts related to your category, including queries like “best,” “compare,” “how to choose,” “what is,” “pricing,” “risks,” and “implementation.” Ideally, you should track a broader range of prompts - Meltwater GenAI Lens can help you scale up. 

Next, map topic ownership across your organization by pairing each prompt cluster with a credible internal expert. Focus on individuals with hands-on, real-world experience rather than relying solely on seniority or job title.

Build content around concrete proof points so it’s easy for AI systems to recognize and use your insights. Each brief should clearly define the target question, provide a direct answer, and include named entities, evaluation criteria, examples, data points, and a recommended article structure.

Publish content in both long-form and short-form formats to maximize visibility. Use LinkedIn Articles to create durable, structured assets that answer key questions, and complement them with feed posts that summarize the main argument, add timely perspective, and drive readers to the full piece.

Remember that LinkedIn is a powerful citation vector, but it’s only one part of the puzzle. You need to build an earned media strategy that will make sure AI finds your messaging everywhere, strengthening your brand authority and trust. LinkedIn content should form a core component of any broader comms campaign. 

Finally, measure performance on a monthly basis to refine your strategy. Track metrics, such as citation counts, domain rank, differences across AI models, and which prompts surface your content, then double down on the formats, contributors, and topics that consistently perform best.

For continuous updates on driving LLM visibility with LinkedIn, bookmark this post.

Meltwater’s GenAI Lens can streamline this entire process, giving you metrics, insights and recommendations to improve your citations - see it in action!!

AI is changing brand discovery from a search-results game into an answer-trust game. The brands that win will optimize both their Company Page and expert voices. They will make their expertise easy for AI systems to discover, consider, and cite.

LinkedIn's role in the report is a signal of that shift. The platform wins because real members are going there to explain their work and have professional conversations, in a public forum. For marketers, the opportunity is to organize that expertise into a repeatable AI visibility program.

The next time a buyer asks AI what they should do, which vendor to consider, or how to evaluate a category, your goal is simple: do not just be mentioned. Become the answer.


Using Meltwater GenAI Lens we analyzed 9.5 million AI citations across six major AI Platforms: 

The study ran thousands of test prompts across B2B categories— including AI, Data Science, Marketing, Leadership, HR, Sales, Supply Chain, Professional Services, Financial Services, and more— then tracked which domains and URLs appeared in generated answers.

Throughout this article, citation means a website domain or URL referenced by an AI model in a generated response. Domain rank refers to the position of a domain among all cited sources for a given prompt or model. Citation share is the percentage of total citations that reference LinkedIn.

GenAI Lens is Meltwater’s AI visibility monitoring platform that tracks how large language models describe your brand, products, and competitors. It helps PR and marketing teams analyze sentiment, sources, and trends in AI-generated responses so they can manage reputation, spot risks, and shape their brand narrative in AI-driven search. 


Why is LinkedIn content showing up so often in AI-generated answers?

AI systems prioritize content that demonstrates clear expertise, real-world experience, and structured information. LinkedIn excels here because it combines professional identity signals (titles, companies, industries) with detailed, practitioner-led content, making it highly “trustable” for AI citation.

Do I need a large following on LinkedIn to be cited by AI?

Request a demo of Meltwater GenAI Lens

New LinkedIn x Meltwater research shows why AI engines cite professional LinkedIn content, and how brands can build visibility with expert publishing.

9.5M AI citations analyzed: How LinkedIn content wins AI search

Many of the biggest challenges faced by marketers today can be linked to the same fundamental issue: the world is changing fast and it’s hard to keep up. 

Online conversations now move faster and at greater scale than ever before, with news, social, and large language model (LLM)powered content colliding to shape opinions in real time. Trends spike, splinter, and vanish quickly, while major cultural and market forces take root online, influencing what people believe, expect, and buy. At the same time, LLMs have emerged as a new “first impression” for discovery, redefining how audiences first encounter and evaluate brands.

We’re so busy trying to make sense of all this change, that it can feel as though we’re constantly playing catch-up, and never manage to really get ahead of everything. 

At Meltwater we’re trying to solve that problem by building solutions which put PR and marketing professionals back in control, so instead of putting all of your effort into just keeping up, you can focus on strategy and creativity to put your brand in front. 

With that goal squarely in mind, our Year-End 2025 Product Release is designed to give brand-builders three important things: 

Clarity to see the conversations, stories, and content influencing brand perception.

Agility to act in the moment on emerging conversations and narratives.

Intelligence to actively shape the narrative before it shapes your brand.

What does this mean in practice? Let’s take a look at some of the new enhancements from Meltwater that deliver on each of these three pillars: 

Modern campaigns include earned, owned, and paid channels, but reporting rarely reflects this reality, leaving you with an incomplete, disjointed view of performance. 

That’s why we’ve introduced Unified Dashboards, which consolidates performance across channels into a single connected view, making it easy to compare the ROI of every channel in a balanced way. Everyone, from comms to marketing to insights, can now work from the same data source and with consistent metrics.

We’re also giving brands a new lens into the channels shaping perception. Meltwater's GenAI Lens provides transparency into how large language models describe your brands, products, competitors, and industries. It aggregates responses across popular models (like ChatGPT and Claude), and adds additional context such as sentiment, and keyword analysis. Critically, it also gives you insight into the original content sources that influence the LLM’s knowledge of your brand. 

Online video serves as another essential component of our monitoring system and has become one of the most influential drivers of public perception, yet most monitoring tools aren’t able to extract insight from video content. Our new Video Analytics capability, launching soon solves this by combining keyframe-based visual analysis with speech-to-text transcription. Beginning with Instagram and X and expanding to TikTok and YouTube, this feature helps brands capture context from short-form video, uncovering developing narratives and cultural moments.

Finally, we’ve expanded our content set with premium Dow Jones coverage, including The Wall Street Journal, Barron’s, MarketWatch, and The Globe & Mail. For the first time, this trusted subscriber-only content is available directly inside Meltwater, giving teams early visibility into financial stories, analyst moves, and paid coverage around their brands and competitors.

These days, narratives can flare up and fade within hours, so reacting days or even weeks later is too slow. That’s why so much of this release focuses on helping teams move from reaction to strategy. With GenAI Lens, you can see how AI engines are shaping perception in real time and act before those outputs filter out into wider public opinion. 

 With Predictive Analytics in Explore, you can move beyond monitoring to foresight. Leverage pattern recognition functionality that can forecast whether a spike in mentions will grow or fade, so you can act on opportunities early, neutralize risks, and invest resources with confidence.

We’ve also made our AI teammates more adaptable to each brand’s context. Mira Projects creates an environment where you can share your goals, competitive landscape, and in-platform assets like searches and influencer lists, ensuring Mira delivers more focused and relevant outputs. Mira Canvas takes that one step further, introducing a split-screen editing mode so you can refine and iterate on Mira’s outputs directly within the platform. 

Both enhancements are designed to keep your work flowing and give you more control over AI-generated recommendations.

That's why we've extended AI-powered intelligence into influencer marketing through our latest Meltwater's influencer marketing solution innovations.

Discovery makes it easier to find the right creators by allowing marketers to describe campaign goals in plain language, with AI surfacing relevant influencers and clearly explaining why they're a fit.

AI Activation helps teams move from discovery to outreach by generating personalized, on-brand messages tailored to each influencer, reducing friction and creating stronger partnerships from the start.

Together, these improvements make influencer marketing faster, more strategic, and more scalable, allowing teams to spend less time on setup and more time building meaningful relationships.

The pace of digital change isn’t slowing. AI Answer Engines are displacing conventional search, video is the new default content expectation for consumers, and trust is more valuable than ever as a differentiator. 

Meltwater gives PR and marketing leaders the ability to see clearly across fragmented channels, act quickly on emerging narratives, and shape growing campaigns intelligently with AI finely tuned to their context. With this Year End Release, we’re putting an end to chasing the conversation, giving brand builders the definitive tools to reclaim their power and lead.

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Meltwater's latest product release gives PR and marketing professionals increased clarity, agility, and intelligence.

How Meltwater is Putting Brand Builders Back in Control

By: Chris Hackney, Meltwater’s Chief Product Officer 

For our second major product release of 2024, we’ve focused on adding enhancements that will make you feel like you’ve got superpowers! We’re doing that by giving you tools that empower you to achieve better results and save time. 

PR and marketing professionals face an ever-growing ocean of social, online, and legacy media data that could hold transformative insights for their businesses if only they could find a way to make sense of it all. Forrester estimates that 73% of all data within an enterprise is not used for analytics, which means there’s potentially a huge amount of intelligence and insight simply being left on the table by most businesses. 

At Meltwater, we think that by building tools that make it easier to analyze and surface insights that data holds, we can help our customers unlock greater potential for their businesses. 

For many of us, there never seem to be enough hours in the day to get everything done. We believe that saving time isn’t about cutting corners or compromising on the quality of your work but how thoughtful technology can help us get to our goals faster. 

In Meltwater’s Year-End Release, we’ve introduced product enhancements focused on saving you time. 

A key element of this is the new Platform Assistant, an AI tool that makes it easy to get all kinds of help simply by asking questions in natural language. Whether you want some details about your account (e.g., how to contact your Meltwater rep), you need help finding content or creating a pitch, or you have a question about your own activity within Meltwater, you just have to ask. 

Another example of time-saving enhancements is the AI Journalist Search we’ve added to our Media Relations solution. PR professionals can simply enter their campaign key messages, press releases, or pitch notes into the tool, and the AI will identify up to 200 media contacts best suited to your objectives. Instead of spending a lot of time searching and filtering lists of journalists manually, the whole task is completed in seconds.

We’ll soon launch a new Influencer Marketing AI Assistant to Klear, which allows you to interact with the platform in natural language, whether you’re trying to find new influencers, explore campaign performance metrics, or brainstorm ideas, the assistant is able to help whenever you need it. 

Social media managers can now view all of their posts on Meltwater Engage’s calendar, even if those posts were posted natively through the platforms, so you have a complete view of your content across all social channels. We’ve also added a new multi-tier approvals feature to Engage, making it much easier to ensure content is checked and signed off ahead of posting while avoiding any bottlenecks in the process. 

These are just a few examples of how we’re aiming to save you time with this release. 

Insight is at the very heart of Meltwater's mission. We strive to help our customers decipher the patterns and trends buried in the world’s data and use that insight for business advantage. 

But insights mean little if they only exist in reports or dashboards, and never inspire action. So another of the big themes we focused on for this release was how we can make it easier for you to put insights into action. 

One of the biggest new features is the Brand Analytics Tab, which automatically collates all of the key metrics around your brand performance alongside AI-generated summaries of relevant news and social media narratives. This provides an easy-to-digest real-time snapshot of your brand health, always up-to-date, and created automatically in moments.

We’ve also introduced a new feature that makes sharing Meltwater insights much more engaging and powerful. Instead of exporting reports and dashboards as static PDF files, you can now share interactive reports with stakeholders so that they can explore the data and drill down into details, even without their own Meltwater login. 

A big part of this is our continued investment in high-quality data, which makes it easier to uncover insights and adds credibility to your reports when you share them with stakeholders. An example of this is our  Renewed partnership with Reddit, securing long-term access to the platform’s full firehose of authentic, unfiltered consumer discussions for our customers. 

Whether it’s with customers, influencers, journalists, or internal stakeholders, the ability to forge strong relationships helps us to achieve our objectives more easily. So, the third major goal of this product release has been to give you the tools to nurture the relationships that matter to your business. 

In Klear, we’ve made a simple but powerful improvement that shows you the full conversation history between your business and any influencer through the unified inbox. This means you instantly have access to the complete background context whenever you need to interact with that person, allowing for more authentic conversations based on their prior interactions with your brand instead of simply sending them a generic outreach email. 

For PR, you now have the option to receive alerts when a media contact’s profile is updated with new details, such as when they change jobs, for example. This makes it easy to keep up to date with what’s happening with your target media, helping you to engage with them more effectively. 

It’s also now possible to view the open rates of your outreach email campaigns, down to the granular level of individual contacts, whereas before, it was only possible to view the rates of an entire media list. So now you can easily identify which journalists are most engaged with your campaign and focus on them, as well as adjust your messaging for those who are not yet engaged. 

In this post I’ve given you a taste of the biggest improvements in the 2024 Year-End Release, and explained our strategy behind this update. To get a more detailed view of what’s been added, visit the product update page.

There’s plenty more to come. This is an exciting period of development for Meltwater as we continue to harness the power of AI in our platform, and build on our industry-leading partnership with Microsoft Copilot.

Unlock a more powerful you with Meltwater's latest product updates for PR and marketing professionals.

What's in Meltwater’s 2024 Year-End Release?

Unlock a More Powerful You, with Meltwater’s 2024 Year-End Release

By: Chris Hackney, Meltwater’s Chief Product Officer

At Meltwater, our goal is to ensure technology serves the needs of our users. We don’t just add features for the sake of novelty or to ride the latest tech trend. Our focus is on empowering our customers to achieve remarkable outcomes with solutions that truly simplify their workflows and effort levels. 

By democratizing access to complex data and insights, we empower all users, regardless of their technical expertise, to uncover valuable information effortlessly.

For our 2024 Mid-Year Release, our team has been hard at work carefully considering how we can meaningfully elevate the use of news and social media data within organizations. That led us to focus on three things that we believed would help people make better use of such data: 

In this blog post, I want to explain how the features we’re adding in this latest release deliver on those goals. 

Technology shouldn’t slow you down, but help you do what you need to do faster. For us, that means reducing the time it takes to separate the signal from the noise to get to the insights you’re looking for. 

A great example of how we’re achieving this is the new AI Search Assistant in Explore. Building a search query can often require complex boolean logic to focus in on just the data you need, while removing noise and false positives. The AI Search Assistant can let you do all of that using a natural language prompt, so you don’t need to spend countless time building and fine-tuning your query logic. 

This isn’t just about AI - we’ve also made improvements to our tools that streamline workflows, such as integrating our social media management platform, Engage, with Klear, our influencer marketing solution. A new video editor tool has also been added to Engage to allow you to work with video clips directly in the application.

All of this saves you time by breaking down silos so you don’t have to switch between multiple apps to get your job done. 

Insight should be available and understandable to everybody, not just analytics experts, so it needs to be easier to make sense of data. 

This is why we’ve partnered with Microsoft to create the new Meltwater Copilot Plugin, which enables you to conversationally interact with our platform to easily surface and understand insights from billions of real-time data-points. 

For our 2024 Mid-Year Release we've added some truly game-changing new features for PR and marketing professionals.

Chris Hackney

Control Your Narrative: Meltwater’s 2026 Mid-Year Release

9.5M AI citations analyzed: How LinkedIn content wins AI search

How Meltwater is Putting Brand Builders Back in Control

Unlock a More Powerful You, with Meltwater’s 2024 Year-End Release

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