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

What's the Difference Between GEO and SEO?

Increase Your GEO Readiness with Meltwater

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

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

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

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

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

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

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

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

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

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

Allie Konchar, Partner & Chief Client Officer, Omniscient

Changing user behavior: AI + conversational search

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

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

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

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

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

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

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

How do generative engines (LLMs) surface content?

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

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

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

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

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

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

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

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

What content features improve GEO-visibility?

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

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

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

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

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

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

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

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

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

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

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

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

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

Tip: Learn more about AI visibility for retail brands.

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

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

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

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

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

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

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

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

Consistency across channels: LLMs learn from media, social, and owned content together; ensure your 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 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.

Which Media Sources to Prioritize for GEO

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

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

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

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

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

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

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

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

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

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

2. Ignoring source credibility and transparency

AI models reward trustworthy, well-cited content. Publishing unverified claims, outdated statistics, or missing citations can lower visibility or lead to inaccurate AI summaries of your brand. Always include reputable data sources, authorship, and dates.

3. Failing to monitor how your brand appears in LLMs

Without ongoing media monitoring, brands miss when GenAI models misrepresent their products or replicate misinformation. LLM tracking tools like Meltwater’s GenAI Lens can surface these blind spots and help correct or update narratives quickly.

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

Bluesky dropped its invite-only approach in 2024, paving the way for brands and businesses to add the network to their marketing mix. With more companies experimenting with the Twitter-like competitor, we’re gaining more visibility into what works with Bluesky marketing and why it’s a platform you should use.

What started as a niche community has exploded into a powerful contender for social media marketing. Accounts on Bluesky have skyrocketed to over 33.8 million users, with more than half of its users in the United States. 

Brands can tap into the growing interest in Bluesky and get in front of their target audience in a whole new way. Let’s dive into several effective marketing strategies that will help you grow your presence and build strong connections.

Understanding Bluesky’s Important Features

Leveraging Bluesky’s Features for Marketing

Building Your Bluesky Strategy with Meltwater

Users liken Bluesky to Twitter/X. It thrives on rapid-fire quips and a similar interface. It’s intuitive by design, and since it feels familiar to Twitter users, brands can easily ramp up their posting and start using the platform right away.

But the platform isn’t a carbon copy of the OG microblogging platform. A few key features differentiate it from Twitter/X.

Accounts can include their own labels and content warnings to help users avoid content they don’t want to see. For example, you might label a post with a sports team name or flag it as adult content. It’s a different take on the hashtag and may help you avoid offending users (while retaining them as loyal fans).

Users can choose who can reply to their posts, helping to moderate content and maintain respectful engagement. You can choose to allow everyone, only followers, or no one to comment on posts.

New to Bluesky? You can use a “starter pack” to quickly find lots of users with shared interests. Think of it as a curated collection of users with a common thread, and you can follow them all (or block them) with a single click. For brands, being part of a starter pack can help you quickly gain lots of new followers.

TIP: Whether you're creating content for Bluesky or any other social platform, AI can help with ideation, strategy, and even channel growth! Download our Ultimate Guide to AI for Social Media Management to learn more.

For an extra layer of branding, you can set your website domain as your Bluesky user name. This makes it easier for your audience to find you off the platform.

One of the biggest ways Bluesky is different from Twitter is its decentralized nature. This gives users more control over their experiences, including the types of content they see. 

Users can sort their feeds and threads by most recent or most popular content, join other custom feeds, and hide posts they don’t want to see again. They can also set up notifications, such as alerts when they get new likes, shares, or followers.

Bluesky includes an in-app music and video player. You can import content from Spotify or YouTube to support your Bluesky content and play it directly in the app. 

Users can navigate to the “Likes” tab to see all of the content they’ve liked. This makes it easier to find content they’ve engaged with and go back to it when the mood strikes.

Being a decentralized platform, users gain more control over their experiences on Bluesky. This includes being able to moderate content themselves, such as hiding unwanted content, muting other accounts or content, or flagging content for review.

Starting from scratch on social media feels daunting. You have no audience (yet), which means your posts likely won’t gain much traction in the beginning. 

Your objective is to create and engage a community, not just accumulate followers. Here, users value transparency, connection, and conversation. Algorithms take a backseat to user-driven control. 

These strategies can help you build up a Bluesky presence that will sustain you for the long term.

Leverage hashtags to appear in users’ custom feeds

Hashtags are a common feature on social media channels, including Bluesky. They make content “searchable” so that users interested in a particular theme or topic can easily find more of the same.

Including hashtags in your content will allow your posts to show up in users’ feeds who are interested in those same hashtags. You can charge up your organic growth and have your content seen by relevant users. 

Consistent engagement on Bluesky is essential to building authenticity and maintaining connections. Make it a point to respond to comments and direct messages to show your audience you’re listening and welcome their feedback.

Collaborate with influencers and key opinion leaders

Working with influencers and established Bluesky accounts may help you gain quick visibility and start growing your following. Tools like Meltwater can help you identify and vet Bluesky influencers based on share of voice, content topics and types, and engagement rates.

Did you know the Meltwater Suite now allows you to harness audience insights from Bluesky? Click here and fill out the form below for a demo with one of our specialists!

Content anchors every Bluesky social media strategy. It gives users a direct path to your brand by offering something to discover and engage with. 

Creating effective content for Bluesky can take some fine-tuning. Use these tips to jumpstart your content calendar and find what works for you.

Explore the full range of Bluesky content types

Bluesky’s platform gives you multiple ways to create and share content within the platform:

A new platform means new opportunities to experiment with content and see what your followers want and respond to. Even if you haven’t had much luck with certain formats in the past, Bluesky is wild west territory that’s worth exploring to all corners.

Create content that promotes conversation and engagement

Bluesky isn’t inundated with advertisements, promos, and shameless plugs. That’s a big part of its charm, and it’s something that users value. 

This takes a different turn from traditional social media channels like Facebook, Instagram, and Pinterest, which are heavily driven by ads and product discovery. To win on Bluesky, your content should inspire others. Create discussions, not sales pitches.

Broad targeting is a no-go on Bluesky. Authentic connections are key, which means you need to know who you’re creating content for and ensure it speaks directly to them. 

Add hashtags or tag relevant accounts or influencers to help expand your reach to the right people. Staying in your niche lane will contribute to an authentic image and help you become a go-to for your chosen topics.

Traditional social media management has a pretty straightforward process: Establish a profile, grow your audience, start running paid ads, and post content. 

There’s no clear way to monetize your brand on Bluesky (yet). But the platform’s growing audience and reputation as a place for conversation make it a worthwhile marketing channel.

Here’s how you start marketing your business on Bluesky without ads.

You’ll want to claim your brand’s name as soon as you think you might use Bluesky, even if you’re not ready to go all in. This prevents others from claiming your brand handle before you do.

Choose a name that’s consistent with your brand identity. You can use your website domain name as your Bluesky handle, which helps users find you outside of the Bluesky platform.

Optimize your profile with branding and verification

As with other social media profiles, you want your Bluesky profile to be easily recognizable. 

Once you set up your profile, start optimizing it with your brand’s imagery, colors, taglines, and other content. Add a clear description of your brand and what you do. Include a profile image, such as a branded logo, and your contact information. 

Treat your profile as an extension of your brand so people can associate your content with your company.

Content is at the center of your Bluesky marketing strategy. Your goal shouldn’t be to post content, but rather find out what topics your audience is talking about and how you can add to the conversation. 

Post content that will encourage your audience to interact with you. This can take many forms, including:

Infographics and other helpful information

Engagement is key to winning on Bluesky. The more you can pull your audience in, the more you’ll be seen as a leading voice in your niche.

The Meltwater Suite can help you quickly tap into Bluesky conversations at scale. Click here and fill out the form below for a demo!

The number of followers you gain on Bluesky isn’t the only indicator of success. This platform is still fairly new, and while a new user joins every second, it may take some time before they venture your way.

Instead of focusing only on size, you can measure your success on Bluesky by tracking these metrics:

Bluesky Marketing Guide: Tips for Effective Marketing Strategies

Social media never sleeps — and neither do marketers trying to keep up with the latest social media management trends. This time, it’s a showdown between Bluesky vs. Threads, two semi-new social networks that are a far cry from stalwarts like Facebook, YouTube, and Instagram.

It’s a familiar concept: Everyone has a profile. People can follow accounts of their choosing. You can post text, images, links, and even videos, which your followers will see. 

Bluesky and Threads look and feel a lot like X (formerly Twitter). The biggest difference between Bluesky and Threads is their overall audience, vibe, and the potential social media marketing opportunities.

So, which is better: Bluesky or Threads? More importantly, should you dive in and build a presence on one or the other (or both?), or is this just another case of trendy tech that won’t last?

Key Differences Between Bluesky and Threads

Which Platform is Better for Brands and Marketers? 

Boosting Your Bluesky and Threads Strategy with Meltwater

Bluesky is a decentralized microblogging platform similar to Twitter/X. Unlike giants like Facebook and YouTube, where the companies own the data and control the ecosystem, decentralized sites like Bluesky don't have a single entity “in charge.” 

This is a huge draw for social media users who care about transparency, autonomy, and a more open internet. 

On the surface, Bluesky looks a lot like Twitter/X. Jack Dorsey, Twitter’s founder, was originally an incubator of the site.

Did you know Bluesky data is now available in Meltwater's social listening solution? Click here and fill out the form below to see how you could start leveraging Bluesky insights!

Threads is Meta’s answer to Twitter/X. It’s a near clone to the original microblogging platform, but it has close ties with Instagram. Users can sign up via their Instagram profiles, bring their followers with them, and start sharing short-form posts.

It’s like Twitter and Instagram had a baby — a clean, quiet, no-frills baby. The main focus is sparking conversations and making valuable connections with followers.

When choosing between Meta Threads and Bluesky, think about which experience your audience is most likely to favor. 

Transparency and privacy or mainstream chatter?

The goal is to meet them where they already are (or likely to be in the near future) so you can focus on content and connection, not just growth.

Privacy and control are among the biggest differentiators between Bluesky social vs. Threads. Namely, Bluesky gives its users more control over what they see and how their data is used.

Control comes standard with decentralized tech. It’s no longer about having one entity holding all the cards. With Bluesky, users can customize their home feeds, subscribe to content, mute people or accounts, or even block specific keywords. They can avoid certain content that doesn’t fit their values without unsubscribing from accounts altogether.

For Threads, users should have similar expectations of privacy, security, and data as they do on Facebook or Instagram. And yes, that includes Meta’s track record of illegally collecting and handling data. 

But unlike Facebook and Instagram, Threads is now part of the fediverse, a system of social networking sites on the same open protocol. This network also includes Mastodon and WordPress, and users can like, share, and comment on content from across all of these platforms.

You might wonder, is Threads or Bluesky better? is Threads or Bluesky better? That’s like asking if you should use YouTube or TikTok, or Facebook or Instagram.

Let’s compare the two from a marketing perspective.

Threads launched to massive fanfare as an alternative to X. It’s still building out its features, but the platform allows for easy scaling and quick engagement. 

Simply put, you can sign up for Threads and start posting in minutes.

Typical Threads users are also on Instagram, so there’s mass appeal across multiple niches and topics. 

Users can also tap into their existing Instagram audience, which makes it a great option for campaigns that need traction fast. You also have cross reach with other platforms in the fediverse, like Mastodon and Friendica. 

First, you’ll need to build an audience from scratch, as its open source protocol doesn’t have any other social media networks (yet). It’s also a much more niche community, kind of like a frontier town in the wild west. Growth is slower, but it’s also more nuanced and centric to each account. 

This niche approach could be advantageous to brands who want to grow loyal audiences. There are also far fewer brands on Bluesky, which gives early adopters a shot at leadership in specific verticals or communities.

TIP: Need help figuring out how to build your audiences on either of these social platforms? AI can help! Download our free Ultimate Guide to AI for Social Media Management.

For Bluesky vs. Threads users, both platforms offer content versatility, though Bluesky tends to be more text-driven, while Threads sees more variety. 

On Threads, posts can include text, images, and video, which is ideal for accounts that rely on storytelling and visual branding.

Bluesky prioritizes conversation and reputation. You can share text, images, videos, and GIFs here, each of which comes with its own specifications. 

Also noteworthy: Threads uses an algorithm to choose the content users see; Bluesky does not. This is a big opportunity for lesser known creators and brands to make a space for themselves — your brand voice and consistency are your growth engine.

Right now, neither Bluesky nor Threads has invested in monetization. As in, they’re not ad-driven platforms.

Meta is likely to roll out monetization tools in the future, similar to Instagram and Facebook. Bluesky has no immediate plans for traditional ads.

In the Threads vs. Bluesky battle, there’s no clear winner. Each platform has something unique to bring to your marketing strategy, but not without a price. 

Here’s how their pros and cons might affect you:

Bluesky and Threads are still very new in the social media sphere. Neither are fully baked. 

Threads has the backing of its parent company, Meta, a well-established player in social media. The company has plenty of resources to put toward its new platform, not to mention a loyal user base with Instagram. 

With Threads being an extension of Instagram, there’s built-in longevity to win marketers’ trust. It’s more mainstream, and as growth continues, its place in social marketing is likely to grow, too.

The same can’t be said for Bluesky, but the platform brings its own level of potential. It’s built on an open source protocol. Although it’s the only platform using that protocol, there’s opportunity for others to build interoperable networks to augment Bluesky’s reach and power.

Finding your champion in the Bluesky social vs. Threads showdown starts with understanding your audience: Who are they, what do they value, and where are they already spending time?

Meltwater helps you answer these and other questions with its AI-driven social intelligence platform. Zero in on where people are hanging out, the questions they’re asking, and the content they’re engaging with. When you know what they care about, you can spark conversations they’ll want to participate in, whether it’s on Bluesky, Threads, or both!

Smart brands are already using AI to break down their audiences into meaningful segments. Go beyond age and interest to also learn their values, tone, preferences, and trust factors. AI can tell you not just where to go, but what to say when you get there.

Learn how Meltwater can empower your Bluesky or Threads strategy when you request a demo below!

Bluesky vs. Threads: What’s the Difference?

Bluesky has been getting a lot of media attention recently, so it’s no surprise that people are wondering how it compares to Twitter/X. The two micro-blogging platforms share a lot of similarities, but also differ in some important ways, and in this blog we’ll explain exactly how they stack up against each other. 

Twitter, Bluesky, and their Shared History

If Bluesky and Twitter seem to have a lot in common, it’s because Bluesky started life as an internal project at Twitter in 2019. The idea behind the project was to create a social media service like Twitter/X that could be open source and decentralized, rather than being owned and managed by a single corporate entity. 

The result of this experiment was the AT Protocol, a kind of standard framework that can be used by anybody to build decentralized and interoperable social media platforms. Bluesky was built by Twitter/X as an initial proof-of-concept to show how the AT Protocol could work, and eventually in 2021 it was spun out into an independent company called Bluesky Social PBC (Public Benefit Company). 

Both platforms offer the same essential functionality. Users can post their own content (text, images, video) which is displayed on a timeline on their own profile page, which can include a bio, profile picture, and header image. 

Posts on Twitter/X can be 280 characters in length, or up to 25,000 for X Premium subscribers, while Bluesky offers no similar premium subscription service, and all users face the same 300 character limit for their posts. Posts can include dynamic mentions of other users on each platform, by prefacing their username with the @ symbol, and users can reply to each other’s posts to create discussion threads, or simply repost to their own timelines. 

Both platforms also provide users with a timeline consisting of content from other users - either those you have chosen to follow, or those the algorithm thinks you might like. Other similarities include the use of hashtags to categorize and discover posts on related topics, and the ability to create lists of users.

So, in terms of the microblogging fundamentals, Bluesky and Twitter/X offer similar capabilities. 

Once you look beyond those basic features it becomes clear that Twitter/X is a much more mature platform than Bluesky, and offers a far richer feature-set. For example, Twitter/X has great Trending Topics functionality that shows you what’s happening around the world, in real-time, which is part of what helps it to deliver on its promise of being the world’s Town Square.


Bluesky has only just added a beta version of its own Trending Topics feature, and at present it feels much more basic, with limited results and no ability to focus on local trends rather than global. 

Twitter/X also offers a far wider range of content types for users. This includes relatively simple things, such as the ability to add polls to posts, through to more sophisticated formats such as Spaces, which are audio discussions that can be live-streamed to a wide audience. Users can also easily live-stream video through their profile. 

A key difference between the two services is how verification works. On Twitter/X anybody can get a verified “Blue Tick” if they subscribe to the premium service. On Bluesky, verification is only available to people who own their own website or URL, and the process works by changing your Bluesky handle to the URL of your website. 

The main difference between the two social networks is in their user-base. Twitter/X has been around since 2006 and has had plenty of time to build up a substantial number of users, currently estimated to be at around 336 million, whereas Bluesky has around 25 million. 

Bluesky Blog

Bluesky Marketing Guide: Tips for Effective Marketing Strategies

Bluesky vs. Threads: What’s the Difference?

Bluesky Vs Twitter/X, What’s the Difference?

What is Bluesky? Discover Social Media’s Latest Star

Bluesky Blog

Bluesky Marketing Guide: Tips for Effective Marketing Strategies

Bluesky vs. Threads: What’s the Difference?

Bluesky Vs Twitter/X, What’s the Difference?

What is Bluesky? Discover Social Media’s Latest Star

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